dev_pirddiiqlab.ipynb

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   "source": [
    "# The make DEEP Human Performance Lab:  an Open Source Quantitative Health Literacy Project for Logistic Odds Outcomes related to Diabetes and Obesity Prevention"
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   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import scipy.stats as stats\n",
    "import sklearn as sk"
   ]
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   "source": [
    "## Using Chicago Area Health Data as a Secondary Source for Modeling and Quantifying Diabetes Interventions for Medical Underserved Patients"
   ]
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       "      <td>None</td>\n",
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       "      <th>58</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60659</td>\n",
       "      <td>60659</td>\n",
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       "      <td>9.180700035024618</td>\n",
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       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60660</td>\n",
       "      <td>60660</td>\n",
       "      <td>42534</td>\n",
       "      <td>-87.66307600</td>\n",
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       "      <td>1.2261423407052925</td>\n",
       "      <td>...</td>\n",
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       "      <td>7.701356454576164</td>\n",
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       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60661</td>\n",
       "      <td>60661</td>\n",
       "      <td>11987</td>\n",
       "      <td>-87.64409900</td>\n",
       "      <td>41.88303000</td>\n",
       "      <td>11513.0</td>\n",
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       "      <td>5.275835768859286</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>193.0</td>\n",
       "      <td>160.60510577189007</td>\n",
       "      <td>1.6763658473030487</td>\n",
       "      <td>1.3879094533484708</td>\n",
       "      <td>1.092065247442632</td>\n",
       "      <td>1.0616735512884428</td>\n",
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       "      <td>19.86682930661196</td>\n",
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       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60707</td>\n",
       "      <td>60707</td>\n",
       "      <td>43241</td>\n",
       "      <td>-87.80728200</td>\n",
       "      <td>41.92185300</td>\n",
       "      <td>40845.0</td>\n",
       "      <td>1381.0</td>\n",
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       "      <td>None</td>\n",
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       "      <td>9.709132375210586</td>\n",
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       "      <th>62</th>\n",
       "      <td>Zip code</td>\n",
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       "      <td>60827</td>\n",
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       "      <td>29.21615201900237</td>\n",
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       "            column00 column01 column02    column03      column04     column05  \\\n",
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       "1   (Indicator name)     None     None        None          None         None   \n",
       "2       (Definition)     None     None        None          None         None   \n",
       "3         (Citation)     None     None        None          None         None   \n",
       "4                ---      ---      ---         ---           ---          ---   \n",
       "..               ...      ...      ...         ...           ...          ...   \n",
       "58          Zip code    60659    60659       40579  -87.70398600  41.99148800   \n",
       "59          Zip code    60660    60660       42534  -87.66307600  41.99111000   \n",
       "60          Zip code    60661    60661       11987  -87.64409900  41.88303000   \n",
       "61          Zip code    60707    60707       43241  -87.80728200  41.92185300   \n",
       "62          Zip code    60827    60827       24936  -87.63357200  41.64943400   \n",
       "\n",
       "                                             column06               column07  \\\n",
       "0                                       POP_2018-2022      POP_2018-2022_moe   \n",
       "1                   Population (residents), 2018-2022  (90% margin of error)   \n",
       "2            Average population over the time period.                   None   \n",
       "3   American Community Survey (ACS: Table B01001; ...                   None   \n",
       "4                                                 ---                    ---   \n",
       "..                                                ...                    ...   \n",
       "58                                            42621.0                 2874.0   \n",
       "59                                            42895.0     1873.9999999999998   \n",
       "60                                            11513.0                  964.0   \n",
       "61                                            40845.0                 1381.0   \n",
       "62                                            25538.0                 1080.0   \n",
       "\n",
       "                                             column08               column09  \\\n",
       "0                                     PCT-W_2018-2022    PCT-W_2018-2022_moe   \n",
       "1   Demographics, Non-Hispanic White (% of residen...  (90% margin of error)   \n",
       "2   Percent of residents within each demographic g...                   None   \n",
       "3            American Community Survey (Table B01001)                   None   \n",
       "4                                                 ---                    ---   \n",
       "..                                                ...                    ...   \n",
       "58                                  36.28962248656765      2.574932303611675   \n",
       "59                                  48.43221820725026     1.2261423407052925   \n",
       "60                                  57.14409797620081      5.275835768859286   \n",
       "61                                   48.5910148120945     3.0722078993226267   \n",
       "62                                 1.1708042916438248      1.028646935458862   \n",
       "\n",
       "    ...                                           column24  \\\n",
       "0   ...                                           LFA_2019   \n",
       "1   ...             Low food access (% of residents), 2019   \n",
       "2   ...  Percent of residents who have low access to fo...   \n",
       "3   ...  USDA, Economic Research Service, Food Access R...   \n",
       "4   ...                                                ---   \n",
       "..  ...                                                ...   \n",
       "58  ...                                 22.610705644891866   \n",
       "59  ...                                                0.0   \n",
       "60  ...                                                0.0   \n",
       "61  ...                                  21.85607325117006   \n",
       "62  ...                                  74.56330568756154   \n",
       "\n",
       "                 column25                                          column26  \\\n",
       "0            LFA_2019_moe                                     UNI_2018-2022   \n",
       "1   (90% margin of error)        Uninsured residents (residents), 2018-2022   \n",
       "2                    None     Number of residents without health insurance.   \n",
       "3                    None  American Community Survey (Tables B27001/C27001)   \n",
       "4                     ---                                               ---   \n",
       "..                    ...                                               ...   \n",
       "58                   None                                            5960.0   \n",
       "59                   None                                            4173.0   \n",
       "60                   None                                             193.0   \n",
       "61                   None                                            3442.0   \n",
       "62                   None                                            2070.0   \n",
       "\n",
       "                 column27                                           column28  \\\n",
       "0       UNI_2018-2022_moe                                      UNS_2018-2022   \n",
       "1   (90% margin of error)         Uninsured rate (% of residents), 2018-2022   \n",
       "2                    None  Percent of residents without health insurance ...   \n",
       "3                    None   American Community Survey (Tables B27001/C27001)   \n",
       "4                     ---                                                ---   \n",
       "..                    ...                                                ...   \n",
       "58      887.5511252880028                                 14.055940757511436   \n",
       "59      828.4147511965248                                   9.87178274034822   \n",
       "60     160.60510577189007                                 1.6763658473030487   \n",
       "61      530.5638510113556                                   8.46469763667216   \n",
       "62      395.6349327347119                                  8.107790529160628   \n",
       "\n",
       "                 column29                                           column30  \\\n",
       "0       UNS_2018-2022_moe                                      SNP_2018-2022   \n",
       "1   (90% margin of error)    Food stamps (SNAP) (% of households), 2018-2022   \n",
       "2                    None  Percent of households receiving Supplemental N...   \n",
       "3                    None  American Community Survey (Tables B22003, B220...   \n",
       "4                     ---                                                ---   \n",
       "..                    ...                                                ...   \n",
       "58     1.8639711883239136                                 22.464670132532767   \n",
       "59     1.9105015505170662                                 13.065422340729455   \n",
       "60     1.3879094533484708                                  1.092065247442632   \n",
       "61     1.2727662457059332                                 14.270311409906766   \n",
       "62      1.511194916953002                                  40.62265967690168   \n",
       "\n",
       "                 column31                                           column32  \\\n",
       "0       SNP_2018-2022_moe                                      SNQ_2018-2022   \n",
       "1   (90% margin of error)  Households in poverty not receiving food stamp...   \n",
       "2                    None  Percent of households with income in the past ...   \n",
       "3                    None           American Community Survey (Table B22003)   \n",
       "4                     ---                                                ---   \n",
       "..                    ...                                                ...   \n",
       "58     3.4294761459302627                                  39.80365908076752   \n",
       "59     1.6841451725938184                                  65.04602991944765   \n",
       "60     1.0616735512884428                                  92.63657957244656   \n",
       "61     2.4207866397037514                                  65.29169121979965   \n",
       "62      3.070760370958625                                  29.21615201900237   \n",
       "\n",
       "                 column33  \n",
       "0       SNQ_2018-2022_moe  \n",
       "1   (90% margin of error)  \n",
       "2                    None  \n",
       "3                    None  \n",
       "4                     ---  \n",
       "..                    ...  \n",
       "58      9.180700035024618  \n",
       "59      7.701356454576164  \n",
       "60      19.86682930661196  \n",
       "61      9.709132375210586  \n",
       "62      7.615071657722277  \n",
       "\n",
       "[63 rows x 34 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_1 = _deepnote_execute_sql('SELECT *\\nFROM \\'CHAMUPGeozipcodes.csv\\'', 'SQL_DEEPNOTE_DATAFRAME_SQL', audit_sql_comment='', sql_cache_mode='cache_disabled')\n",
    "df_1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cell_id": "bf4cc6a2b144450e9608ca05f6335b5f",
    "deepnote_cell_type": "code",
    "deepnote_to_be_reexecuted": false,
    "execution_millis": 206,
    "execution_start": 1722955155196,
    "source_hash": null
   },
   "outputs": [
    {
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         "HDALR_2022": "Alcohol-related hospitalization rate (per 10,000 population), 2022",
         "HDALR_2022_moe": "(90% margin of error)",
         "HDAL_2022": "Alcohol-related hospitalizations (count of hospitalizations), 2022",
         "HDAL_2022_moe": "(90% margin of error)",
         "HDDIAR_2022": "Diabetes-related hospitalization rate (per 10,000 population), 2022",
         "HDDIAR_2022_moe": "(90% margin of error)",
         "HDDIA_2022": "Diabetes-related hospitalizations (count of hospitalizations), 2022",
         "HDDIA_2022_moe": "(90% margin of error)",
         "LFA_2019": "Low food access (% of residents), 2019",
         "LFA_2019_moe": "(90% margin of error)",
         "Latitude": "nan",
         "Layer": "(Indicator name)",
         "Longitude": "nan",
         "Name": "nan",
         "PCT-W_2018-2022": "Demographics, Non-Hispanic White (% of residents), 2018-2022",
         "PCT-W_2018-2022_moe": "(90% margin of error)",
         "POP_2018-2022": "Population (residents), 2018-2022",
         "POP_2018-2022_moe": "(90% margin of error)",
         "Population": "nan",
         "SNP_2018-2022": "Food stamps (SNAP) (% of households), 2018-2022",
         "SNP_2018-2022_moe": "(90% margin of error)",
         "SNQ_2018-2022": "Households in poverty not receiving food stamps (SNAP) (% of households below the poverty line), 2018-2022",
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         "UMP_2018-2022": "Unemployment rate (%), 2018-2022",
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         "UNI_2018-2022_moe": "(90% margin of error)",
         "UNS_2018-2022": "Uninsured rate (% of residents), 2018-2022",
         "UNS_2018-2022_moe": "(90% margin of error)",
         "_deepnote_index_column": 0
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        {
         "EDB_2018-2022": "Residents 25 or older with at least a high school degree: including GED and any higher education",
         "EDB_2018-2022_moe": "nan",
         "FAI_2022": "Percentage of the population experiencing food insecurity at some point. Food insecurity is the household-level economic and social condition of limited or uncertain access to adequate food, as represented in USDA food-security reports. 2020 data is a projection based on 11.5% national unemployment and 16.5% national poverty rate.",
         "FAI_2022_moe": "nan",
         "GEOID": "nan",
         "HDALR_2022": "Age-adjusted rate of alcohol-related hospitalization discharges, excluding discharges to Veterans Administration hospitals.",
         "HDALR_2022_moe": "nan",
         "HDAL_2022": "Number of inpatient hospitalization discharges due to alcohol-relateddisease, injury or conditions.",
         "HDAL_2022_moe": "nan",
         "HDDIAR_2022": "Age-adjusted rate of diabetes-related hospitalization discharges, excluding discharges to Veterans Administration hospitals.",
         "HDDIAR_2022_moe": "nan",
         "HDDIA_2022": "Number of inpatient hospitalization discharges, excluding discharges to Veterans Administration hospitals, due to diabetes mellitus with or without related complications.",
         "HDDIA_2022_moe": "nan",
         "LFA_2019": "Percent of residents who have low access to food, defined solely by distance: further than 1/2 mile from the nearest supermarket in an urban area, or further than 10 miles in a rural area.",
         "LFA_2019_moe": "nan",
         "Latitude": "nan",
         "Layer": "(Definition)",
         "Longitude": "nan",
         "Name": "nan",
         "PCT-W_2018-2022": "Percent of residents within each demographic group. Use this topic to explore age, gender, and racial/ethnic breakdowns.",
         "PCT-W_2018-2022_moe": "nan",
         "POP_2018-2022": "Average population over the time period.",
         "POP_2018-2022_moe": "nan",
         "Population": "nan",
         "SNP_2018-2022": "Percent of households receiving Supplemental Nutrition Assistance Program (SNAP) benefits, formerly known as food stamps, over the past 12 months.",
         "SNP_2018-2022_moe": "nan",
         "SNQ_2018-2022": "Percent of households with income in the past 12 months below the poverty level who did not receive food stamps/SNAP in the past 12 months.",
         "SNQ_2018-2022_moe": "nan",
         "UMP_2018-2022": "Percent of residents 16 and older in the civilian labor force who are actively seeking employment.",
         "UMP_2018-2022_moe": "nan",
         "UNI_2018-2022": "Number of residents without health insurance.",
         "UNI_2018-2022_moe": "nan",
         "UNS_2018-2022": "Percent of residents without health insurance (at the time of the survey).",
         "UNS_2018-2022_moe": "nan",
         "_deepnote_index_column": 1
        },
        {
         "EDB_2018-2022": "American Community Survey (Table B15002)",
         "EDB_2018-2022_moe": "nan",
         "FAI_2022": "Map the Meal Gap (Map the Meal Gap 2020)",
         "FAI_2022_moe": "nan",
         "GEOID": "nan",
         "HDALR_2022": "Illinois Department of Public Health, Hospital Discharge Data",
         "HDALR_2022_moe": "nan",
         "HDAL_2022": "Illinois Department of Public Health, Hospital Discharge Data",
         "HDAL_2022_moe": "nan",
         "HDDIAR_2022": "Illinois Department of Public Health, Hospital Discharge Data",
         "HDDIAR_2022_moe": "nan",
         "HDDIA_2022": "Illinois Department of Public Health, Hospital Discharge Data",
         "HDDIA_2022_moe": "nan",
         "LFA_2019": "USDA, Economic Research Service, Food Access Research Atlas (Food Access Research Atlas)",
         "LFA_2019_moe": "nan",
         "Latitude": "nan",
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         "Longitude": "nan",
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         "POP_2018-2022": "American Community Survey (ACS: Table B01001; Decennial Census: Table P012)",
         "POP_2018-2022_moe": "nan",
         "Population": "nan",
         "SNP_2018-2022": "American Community Survey (Tables B22003, B22005, and S2201)",
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         "SNQ_2018-2022": "American Community Survey (Table B22003)",
         "SNQ_2018-2022_moe": "nan",
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         "UMP_2018-2022_moe": "nan",
         "UNI_2018-2022": "American Community Survey (Tables B27001/C27001)",
         "UNI_2018-2022_moe": "nan",
         "UNS_2018-2022": "American Community Survey (Tables B27001/C27001)",
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         "FAI_2022": "---",
         "FAI_2022_moe": "---",
         "GEOID": "---",
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         "HDALR_2022_moe": "---",
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         "HDDIAR_2022": "---",
         "HDDIAR_2022_moe": "---",
         "HDDIA_2022": "---",
         "HDDIA_2022_moe": "---",
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         "Layer": "---",
         "Longitude": "---",
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         "Population": "---",
         "SNP_2018-2022": "---",
         "SNP_2018-2022_moe": "---",
         "SNQ_2018-2022": "---",
         "SNQ_2018-2022_moe": "---",
         "UMP_2018-2022": "---",
         "UMP_2018-2022_moe": "---",
         "UNI_2018-2022": "---",
         "UNI_2018-2022_moe": "---",
         "UNS_2018-2022": "---",
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         "EDB_2018-2022_moe": "3.684767519332293",
         "FAI_2022": "10.4",
         "FAI_2022_moe": "nan",
         "GEOID": "60601",
         "HDALR_2022": "13.0",
         "HDALR_2022_moe": "4.825892857163",
         "HDAL_2022": "23.0",
         "HDAL_2022_moe": "nan",
         "HDDIAR_2022": "nan",
         "HDDIAR_2022_moe": "nan",
         "HDDIA_2022": "nan",
         "HDDIA_2022_moe": "nan",
         "LFA_2019": "0.0",
         "LFA_2019_moe": "nan",
         "Latitude": "41.88530300",
         "Layer": "Zip code",
         "Longitude": "-87.62209200",
         "Name": "60601",
         "PCT-W_2018-2022": "52.76253201609953",
         "PCT-W_2018-2022_moe": "6.546221422721316",
         "POP_2018-2022": "16398.0",
         "POP_2018-2022_moe": "1721.0",
         "Population": "15814",
         "SNP_2018-2022": "0.0",
         "SNP_2018-2022_moe": "0.2053610030263727",
         "SNQ_2018-2022": "100.0",
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         "UMP_2018-2022": "2.762923351158645",
         "UMP_2018-2022_moe": "2.256038196880616",
         "UNI_2018-2022": "999.0",
         "UNI_2018-2022_moe": "425.90961482455407",
         "UNS_2018-2022": "6.097412109375",
         "UNS_2018-2022_moe": "2.5193146185450663",
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         "EDB_2018-2022_moe": "67.3664809728275",
         "FAI_2022": "11.3",
         "FAI_2022_moe": "nan",
         "GEOID": "60602",
         "HDALR_2022": "nan",
         "HDALR_2022_moe": "nan",
         "HDAL_2022": "nan",
         "HDAL_2022_moe": "nan",
         "HDDIAR_2022": "nan",
         "HDDIAR_2022_moe": "nan",
         "HDDIA_2022": "nan",
         "HDDIA_2022_moe": "nan",
         "LFA_2019": "0.0",
         "LFA_2019_moe": "nan",
         "Latitude": "41.88307300",
         "Layer": "Zip code",
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         "Name": "60602",
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         "POP_2018-2022": "938.0",
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         "Population": "1261",
         "SNP_2018-2022": "12.393162393162394",
         "SNP_2018-2022_moe": "23.3575704080216",
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         "UMP_2018-2022": "7.584269662921349",
         "UMP_2018-2022_moe": "16.735611057547178",
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         "EDB_2018-2022_moe": "46.17507569917459",
         "FAI_2022": "9.8",
         "FAI_2022_moe": "nan",
         "GEOID": "60603",
         "HDALR_2022": "nan",
         "HDALR_2022_moe": "nan",
         "HDAL_2022": "nan",
         "HDAL_2022_moe": "nan",
         "HDDIAR_2022": "nan",
         "HDDIAR_2022_moe": "nan",
         "HDDIA_2022": "nan",
         "HDDIA_2022_moe": "nan",
         "LFA_2019": "0.0",
         "LFA_2019_moe": "nan",
         "Latitude": "41.88018800",
         "Layer": "Zip code",
         "Longitude": "-87.62550900",
         "Name": "60603",
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         "POP_2018-2022_moe": "319.0",
         "Population": "1288",
         "SNP_2018-2022": "0.0",
         "SNP_2018-2022_moe": "1.7804154302670623",
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         "UMP_2018-2022": "4.144385026737968",
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         "UNI_2018-2022": "61.0",
         "UNI_2018-2022_moe": "60.6217782649107",
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        {
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         "EDB_2018-2022_moe": "39.03105285150932",
         "FAI_2022": "13.0",
         "FAI_2022_moe": "nan",
         "GEOID": "60604",
         "HDALR_2022": "nan",
         "HDALR_2022_moe": "nan",
         "HDAL_2022": "nan",
         "HDAL_2022_moe": "nan",
         "HDDIAR_2022": "nan",
         "HDDIAR_2022_moe": "nan",
         "HDDIA_2022": "nan",
         "HDDIA_2022_moe": "nan",
         "LFA_2019": "0.0",
         "LFA_2019_moe": "nan",
         "Latitude": "41.87809500",
         "Layer": "Zip code",
         "Longitude": "-87.62846100",
         "Name": "60604",
         "PCT-W_2018-2022": "70.28493894165535",
         "PCT-W_2018-2022_moe": "16.027209280338663",
         "POP_2018-2022": "737.0",
         "POP_2018-2022_moe": "197.0",
         "Population": "897",
         "SNP_2018-2022": "0.0",
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         "UNI_2018-2022": "7.0",
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         "EDB_2018-2022_moe": "4.076583111412739",
         "FAI_2022": "11.4",
         "FAI_2022_moe": "nan",
         "GEOID": "60605",
         "HDALR_2022": "11.7",
         "HDALR_2022_moe": "3.3991071428370003",
         "HDAL_2022": "34.0",
         "HDAL_2022_moe": "nan",
         "HDDIAR_2022": "6.5",
         "HDDIAR_2022_moe": "2.5178571428605",
         "HDDIA_2022": "19.0",
         "HDDIA_2022_moe": "nan",
         "LFA_2019": "1.051911052328199",
         "LFA_2019_moe": "nan",
         "Latitude": "41.86756600",
         "Layer": "Zip code",
         "Longitude": "-87.61722800",
         "Name": "60605",
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         "POP_2018-2022": "34314.0",
         "POP_2018-2022_moe": "2076.0",
         "Population": "34071",
         "SNP_2018-2022": "5.0751979592921295",
         "SNP_2018-2022_moe": "2.45016701084529",
         "SNQ_2018-2022": "95.35423925667828",
         "SNQ_2018-2022_moe": "9.12370808082051",
         "UMP_2018-2022": "6.633927802188334",
         "UMP_2018-2022_moe": "2.057979946584935",
         "UNI_2018-2022": "1458.0",
         "UNI_2018-2022_moe": "467.44197500866346",
         "UNS_2018-2022": "4.329749955455248",
         "UNS_2018-2022_moe": "1.3622079977160255",
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         "EDB_2018-2022_moe": "3.9313969952108163",
         "FAI_2022": "10.9",
         "FAI_2022_moe": "nan",
         "GEOID": "60606",
         "HDALR_2022": "nan",
         "HDALR_2022_moe": "nan",
         "HDAL_2022": "nan",
         "HDAL_2022_moe": "nan",
         "HDDIAR_2022": "nan",
         "HDDIAR_2022_moe": "nan",
         "HDDIA_2022": "nan",
         "HDDIA_2022_moe": "nan",
         "LFA_2019": "0.0",
         "LFA_2019_moe": "nan",
         "Latitude": "41.88206000",
         "Layer": "Zip code",
         "Longitude": "-87.63735300",
         "Name": "60606",
         "PCT-W_2018-2022": "58.7247366922858",
         "PCT-W_2018-2022_moe": "16.17838348215005",
         "POP_2018-2022": "3513.0",
         "POP_2018-2022_moe": "704.0",
         "Population": "3797",
         "SNP_2018-2022": "0.0",
         "SNP_2018-2022_moe": "0.45011252813203295",
         "SNQ_2018-2022": "100.0",
         "SNQ_2018-2022_moe": "76.88872456796318",
         "UMP_2018-2022": "3.704866562009419",
         "UMP_2018-2022_moe": "2.695777226281432",
         "UNI_2018-2022": "178.0",
         "UNI_2018-2022_moe": "127.75758294520132",
         "UNS_2018-2022": "5.066894392257329",
         "UNS_2018-2022_moe": "3.4920793377518957",
         "_deepnote_index_column": 9
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       "      <td>USDA, Economic Research Service, Food Access R...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>American Community Survey (Tables B27001/C27001)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>American Community Survey (Tables B27001/C27001)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>American Community Survey (Tables B22003, B220...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>American Community Survey (Table B22003)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>...</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60601</td>\n",
       "      <td>60601</td>\n",
       "      <td>15814</td>\n",
       "      <td>-87.62209200</td>\n",
       "      <td>41.88530300</td>\n",
       "      <td>16398.0</td>\n",
       "      <td>1721.0</td>\n",
       "      <td>52.76253201609953</td>\n",
       "      <td>6.546221422721316</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>999.0</td>\n",
       "      <td>425.90961482455407</td>\n",
       "      <td>6.097412109375</td>\n",
       "      <td>2.5193146185450663</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2053610030263727</td>\n",
       "      <td>100.0</td>\n",
       "      <td>91.70326784584364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60602</td>\n",
       "      <td>60602</td>\n",
       "      <td>1261</td>\n",
       "      <td>-87.62914800</td>\n",
       "      <td>41.88307300</td>\n",
       "      <td>938.0</td>\n",
       "      <td>494.99999999999994</td>\n",
       "      <td>27.50533049040512</td>\n",
       "      <td>6.453020537468193</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.91168824543142</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.427685314011878</td>\n",
       "      <td>12.393162393162394</td>\n",
       "      <td>23.3575704080216</td>\n",
       "      <td>100.0</td>\n",
       "      <td>164.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60603</td>\n",
       "      <td>60603</td>\n",
       "      <td>1288</td>\n",
       "      <td>-87.62550900</td>\n",
       "      <td>41.88018800</td>\n",
       "      <td>1110.0</td>\n",
       "      <td>319.0</td>\n",
       "      <td>51.08108108108108</td>\n",
       "      <td>7.699271088278311</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61.0</td>\n",
       "      <td>60.6217782649107</td>\n",
       "      <td>5.495495495495495</td>\n",
       "      <td>5.228080137827035</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.7804154302670623</td>\n",
       "      <td>100.0</td>\n",
       "      <td>111.69136081760759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60604</td>\n",
       "      <td>60604</td>\n",
       "      <td>897</td>\n",
       "      <td>-87.62846100</td>\n",
       "      <td>41.87809500</td>\n",
       "      <td>737.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>70.28493894165535</td>\n",
       "      <td>16.027209280338663</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>50.91168824543142</td>\n",
       "      <td>0.949796472184532</td>\n",
       "      <td>6.903296261268287</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.6548672566371683</td>\n",
       "      <td>100.0</td>\n",
       "      <td>90.16385114111408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60605</td>\n",
       "      <td>60605</td>\n",
       "      <td>34071</td>\n",
       "      <td>-87.61722800</td>\n",
       "      <td>41.86756600</td>\n",
       "      <td>34314.0</td>\n",
       "      <td>2076.0</td>\n",
       "      <td>54.67447688989917</td>\n",
       "      <td>3.9542152381186764</td>\n",
       "      <td>...</td>\n",
       "      <td>1.051911052328199</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1458.0</td>\n",
       "      <td>467.44197500866346</td>\n",
       "      <td>4.329749955455248</td>\n",
       "      <td>1.3622079977160255</td>\n",
       "      <td>5.0751979592921295</td>\n",
       "      <td>2.45016701084529</td>\n",
       "      <td>95.35423925667828</td>\n",
       "      <td>9.12370808082051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60606</td>\n",
       "      <td>60606</td>\n",
       "      <td>3797</td>\n",
       "      <td>-87.63735300</td>\n",
       "      <td>41.88206000</td>\n",
       "      <td>3513.0</td>\n",
       "      <td>704.0</td>\n",
       "      <td>58.7247366922858</td>\n",
       "      <td>16.17838348215005</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>178.0</td>\n",
       "      <td>127.75758294520132</td>\n",
       "      <td>5.066894392257329</td>\n",
       "      <td>3.4920793377518957</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.45011252813203295</td>\n",
       "      <td>100.0</td>\n",
       "      <td>76.88872456796318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60607</td>\n",
       "      <td>60607</td>\n",
       "      <td>31816</td>\n",
       "      <td>-87.65160000</td>\n",
       "      <td>41.87493500</td>\n",
       "      <td>28797.0</td>\n",
       "      <td>1684.0</td>\n",
       "      <td>52.35267562593325</td>\n",
       "      <td>4.115087933155587</td>\n",
       "      <td>...</td>\n",
       "      <td>6.6736181636803416</td>\n",
       "      <td>NaN</td>\n",
       "      <td>971.0</td>\n",
       "      <td>271.0055349988262</td>\n",
       "      <td>3.384336551531839</td>\n",
       "      <td>0.9235191592458</td>\n",
       "      <td>3.92607985750334</td>\n",
       "      <td>1.2338246661705563</td>\n",
       "      <td>80.0</td>\n",
       "      <td>7.557523796751898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60608</td>\n",
       "      <td>60608</td>\n",
       "      <td>75770</td>\n",
       "      <td>-87.67066400</td>\n",
       "      <td>41.84688000</td>\n",
       "      <td>82749.0</td>\n",
       "      <td>3174.0</td>\n",
       "      <td>20.11021281223942</td>\n",
       "      <td>1.4512635826093772</td>\n",
       "      <td>...</td>\n",
       "      <td>16.40502980746125</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8222.0</td>\n",
       "      <td>849.9635286293171</td>\n",
       "      <td>11.09312177878518</td>\n",
       "      <td>1.0444972397781278</td>\n",
       "      <td>19.012413603383653</td>\n",
       "      <td>2.197111468175151</td>\n",
       "      <td>53.0937308556259</td>\n",
       "      <td>5.34083417214652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60609</td>\n",
       "      <td>60609</td>\n",
       "      <td>65770</td>\n",
       "      <td>-87.65693500</td>\n",
       "      <td>41.81268000</td>\n",
       "      <td>63241.0</td>\n",
       "      <td>3238.0</td>\n",
       "      <td>13.707879382046457</td>\n",
       "      <td>1.1702939487029844</td>\n",
       "      <td>...</td>\n",
       "      <td>30.615064181636633</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9432.0</td>\n",
       "      <td>964.3821856504817</td>\n",
       "      <td>14.958369677265878</td>\n",
       "      <td>1.3225408493430626</td>\n",
       "      <td>29.7218473860619</td>\n",
       "      <td>2.412874509205996</td>\n",
       "      <td>46.66871354006755</td>\n",
       "      <td>8.74067203461024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60610</td>\n",
       "      <td>60610</td>\n",
       "      <td>43794</td>\n",
       "      <td>-87.63223100</td>\n",
       "      <td>41.90677200</td>\n",
       "      <td>42904.0</td>\n",
       "      <td>2069.0</td>\n",
       "      <td>69.11709863882155</td>\n",
       "      <td>2.446860582159244</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0016542474896792882</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1195.0</td>\n",
       "      <td>308.8818544362877</td>\n",
       "      <td>2.803321760345313</td>\n",
       "      <td>0.7116966342888099</td>\n",
       "      <td>7.958004839590976</td>\n",
       "      <td>2.0509433632077205</td>\n",
       "      <td>67.39064856711916</td>\n",
       "      <td>5.297302872414405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60611</td>\n",
       "      <td>60611</td>\n",
       "      <td>38456</td>\n",
       "      <td>-87.61375200</td>\n",
       "      <td>41.89573200</td>\n",
       "      <td>35247.0</td>\n",
       "      <td>1882.0000000000002</td>\n",
       "      <td>63.45504581950237</td>\n",
       "      <td>2.241959505802212</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>639.0</td>\n",
       "      <td>279.63011282764234</td>\n",
       "      <td>1.81292024853179</td>\n",
       "      <td>0.7874167366161472</td>\n",
       "      <td>1.3056302593909952</td>\n",
       "      <td>0.6949677780171463</td>\n",
       "      <td>92.47454625940682</td>\n",
       "      <td>5.030828539525366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60612</td>\n",
       "      <td>60612</td>\n",
       "      <td>34402</td>\n",
       "      <td>-87.68774200</td>\n",
       "      <td>41.88031200</td>\n",
       "      <td>34459.0</td>\n",
       "      <td>2264.0</td>\n",
       "      <td>22.441161960590847</td>\n",
       "      <td>1.157832338702417</td>\n",
       "      <td>...</td>\n",
       "      <td>34.92553328943966</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2422.0</td>\n",
       "      <td>469.5689512733993</td>\n",
       "      <td>7.105556533474154</td>\n",
       "      <td>1.294158928483944</td>\n",
       "      <td>31.995790950543668</td>\n",
       "      <td>3.462479986693569</td>\n",
       "      <td>34.9492385786802</td>\n",
       "      <td>5.812432636729753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60613</td>\n",
       "      <td>60613</td>\n",
       "      <td>53048</td>\n",
       "      <td>-87.65427200</td>\n",
       "      <td>41.95694900</td>\n",
       "      <td>51961.0</td>\n",
       "      <td>2032.0</td>\n",
       "      <td>69.73306903254364</td>\n",
       "      <td>1.511182468371434</td>\n",
       "      <td>...</td>\n",
       "      <td>4.04596271044206</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2845.0</td>\n",
       "      <td>553.0226035163481</td>\n",
       "      <td>5.506202945673421</td>\n",
       "      <td>1.0481618196394935</td>\n",
       "      <td>7.011991419629355</td>\n",
       "      <td>1.2866497645447017</td>\n",
       "      <td>63.32749562171629</td>\n",
       "      <td>7.391932887631978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60614</td>\n",
       "      <td>60614</td>\n",
       "      <td>73173</td>\n",
       "      <td>-87.64957700</td>\n",
       "      <td>41.92271400</td>\n",
       "      <td>71701.0</td>\n",
       "      <td>2051.0</td>\n",
       "      <td>79.34477901284501</td>\n",
       "      <td>1.3184113701281712</td>\n",
       "      <td>...</td>\n",
       "      <td>4.413791858571615</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1520.0</td>\n",
       "      <td>286.311019697112</td>\n",
       "      <td>2.1352813092645926</td>\n",
       "      <td>0.3974691852468129</td>\n",
       "      <td>3.4577903017494425</td>\n",
       "      <td>0.67038543922488</td>\n",
       "      <td>79.8745724059293</td>\n",
       "      <td>8.686491621638623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60615</td>\n",
       "      <td>60615</td>\n",
       "      <td>43502</td>\n",
       "      <td>-87.59628800</td>\n",
       "      <td>41.80164700</td>\n",
       "      <td>42780.0</td>\n",
       "      <td>1906.0</td>\n",
       "      <td>27.522206638616176</td>\n",
       "      <td>1.8766012160062062</td>\n",
       "      <td>...</td>\n",
       "      <td>14.897609661208083</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2835.0</td>\n",
       "      <td>457.34341582666303</td>\n",
       "      <td>6.634372367312552</td>\n",
       "      <td>1.028492785125735</td>\n",
       "      <td>17.2032014228546</td>\n",
       "      <td>1.9109069413010875</td>\n",
       "      <td>64.29684456564082</td>\n",
       "      <td>5.959141207415701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60616</td>\n",
       "      <td>60616</td>\n",
       "      <td>54013</td>\n",
       "      <td>-87.62403200</td>\n",
       "      <td>41.84488300</td>\n",
       "      <td>52707.0</td>\n",
       "      <td>2156.0</td>\n",
       "      <td>28.34158650653613</td>\n",
       "      <td>1.9616690175508376</td>\n",
       "      <td>...</td>\n",
       "      <td>19.542867470939328</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3516.0</td>\n",
       "      <td>567.6345655437132</td>\n",
       "      <td>6.774566473988439</td>\n",
       "      <td>1.0569157983778714</td>\n",
       "      <td>16.917232460394438</td>\n",
       "      <td>2.450450775376805</td>\n",
       "      <td>49.82927384475301</td>\n",
       "      <td>4.836604678959122</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Layer   Name  GEOID Population     Longitude     Latitude  \\\n",
       "0   (Indicator name)    NaN    NaN        NaN           NaN          NaN   \n",
       "1       (Definition)    NaN    NaN        NaN           NaN          NaN   \n",
       "2         (Citation)    NaN    NaN        NaN           NaN          NaN   \n",
       "3                ---    ---    ---        ---           ---          ---   \n",
       "4           Zip code  60601  60601      15814  -87.62209200  41.88530300   \n",
       "5           Zip code  60602  60602       1261  -87.62914800  41.88307300   \n",
       "6           Zip code  60603  60603       1288  -87.62550900  41.88018800   \n",
       "7           Zip code  60604  60604        897  -87.62846100  41.87809500   \n",
       "8           Zip code  60605  60605      34071  -87.61722800  41.86756600   \n",
       "9           Zip code  60606  60606       3797  -87.63735300  41.88206000   \n",
       "10          Zip code  60607  60607      31816  -87.65160000  41.87493500   \n",
       "11          Zip code  60608  60608      75770  -87.67066400  41.84688000   \n",
       "12          Zip code  60609  60609      65770  -87.65693500  41.81268000   \n",
       "13          Zip code  60610  60610      43794  -87.63223100  41.90677200   \n",
       "14          Zip code  60611  60611      38456  -87.61375200  41.89573200   \n",
       "15          Zip code  60612  60612      34402  -87.68774200  41.88031200   \n",
       "16          Zip code  60613  60613      53048  -87.65427200  41.95694900   \n",
       "17          Zip code  60614  60614      73173  -87.64957700  41.92271400   \n",
       "18          Zip code  60615  60615      43502  -87.59628800  41.80164700   \n",
       "19          Zip code  60616  60616      54013  -87.62403200  41.84488300   \n",
       "\n",
       "                                        POP_2018-2022      POP_2018-2022_moe  \\\n",
       "0                   Population (residents), 2018-2022  (90% margin of error)   \n",
       "1            Average population over the time period.                    NaN   \n",
       "2   American Community Survey (ACS: Table B01001; ...                    NaN   \n",
       "3                                                 ---                    ---   \n",
       "4                                             16398.0                 1721.0   \n",
       "5                                               938.0     494.99999999999994   \n",
       "6                                              1110.0                  319.0   \n",
       "7                                               737.0                  197.0   \n",
       "8                                             34314.0                 2076.0   \n",
       "9                                              3513.0                  704.0   \n",
       "10                                            28797.0                 1684.0   \n",
       "11                                            82749.0                 3174.0   \n",
       "12                                            63241.0                 3238.0   \n",
       "13                                            42904.0                 2069.0   \n",
       "14                                            35247.0     1882.0000000000002   \n",
       "15                                            34459.0                 2264.0   \n",
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       "17                                            71701.0                 2051.0   \n",
       "18                                            42780.0                 1906.0   \n",
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       "\n",
       "                                      PCT-W_2018-2022    PCT-W_2018-2022_moe  \\\n",
       "0   Demographics, Non-Hispanic White (% of residen...  (90% margin of error)   \n",
       "1   Percent of residents within each demographic g...                    NaN   \n",
       "2            American Community Survey (Table B01001)                    NaN   \n",
       "3                                                 ---                    ---   \n",
       "4                                   52.76253201609953      6.546221422721316   \n",
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       "6                                   51.08108108108108      7.699271088278311   \n",
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       "19                                  28.34158650653613     1.9616690175508376   \n",
       "\n",
       "    ...                                           LFA_2019  \\\n",
       "0   ...             Low food access (% of residents), 2019   \n",
       "1   ...  Percent of residents who have low access to fo...   \n",
       "2   ...  USDA, Economic Research Service, Food Access R...   \n",
       "3   ...                                                ---   \n",
       "4   ...                                                0.0   \n",
       "5   ...                                                0.0   \n",
       "6   ...                                                0.0   \n",
       "7   ...                                                0.0   \n",
       "8   ...                                  1.051911052328199   \n",
       "9   ...                                                0.0   \n",
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       "14  ...                                                0.0   \n",
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       "17  ...                                  4.413791858571615   \n",
       "18  ...                                 14.897609661208083   \n",
       "19  ...                                 19.542867470939328   \n",
       "\n",
       "             LFA_2019_moe                                     UNI_2018-2022  \\\n",
       "0   (90% margin of error)        Uninsured residents (residents), 2018-2022   \n",
       "1                     NaN     Number of residents without health insurance.   \n",
       "2                     NaN  American Community Survey (Tables B27001/C27001)   \n",
       "3                     ---                                               ---   \n",
       "4                     NaN                                             999.0   \n",
       "5                     NaN                                               0.0   \n",
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       "8                     NaN                                            1458.0   \n",
       "9                     NaN                                             178.0   \n",
       "10                    NaN                                             971.0   \n",
       "11                    NaN                                            8222.0   \n",
       "12                    NaN                                            9432.0   \n",
       "13                    NaN                                            1195.0   \n",
       "14                    NaN                                             639.0   \n",
       "15                    NaN                                            2422.0   \n",
       "16                    NaN                                            2845.0   \n",
       "17                    NaN                                            1520.0   \n",
       "18                    NaN                                            2835.0   \n",
       "19                    NaN                                            3516.0   \n",
       "\n",
       "        UNI_2018-2022_moe                                      UNS_2018-2022  \\\n",
       "0   (90% margin of error)         Uninsured rate (% of residents), 2018-2022   \n",
       "1                     NaN  Percent of residents without health insurance ...   \n",
       "2                     NaN   American Community Survey (Tables B27001/C27001)   \n",
       "3                     ---                                                ---   \n",
       "4      425.90961482455407                                     6.097412109375   \n",
       "5       50.91168824543142                                                0.0   \n",
       "6        60.6217782649107                                  5.495495495495495   \n",
       "7       50.91168824543142                                  0.949796472184532   \n",
       "8      467.44197500866346                                  4.329749955455248   \n",
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       "12      964.3821856504817                                 14.958369677265878   \n",
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       "16      553.0226035163481                                  5.506202945673421   \n",
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       "\n",
       "        UNS_2018-2022_moe                                      SNP_2018-2022  \\\n",
       "0   (90% margin of error)    Food stamps (SNAP) (% of households), 2018-2022   \n",
       "1                     NaN  Percent of households receiving Supplemental N...   \n",
       "2                     NaN  American Community Survey (Tables B22003, B220...   \n",
       "3                     ---                                                ---   \n",
       "4      2.5193146185450663                                                0.0   \n",
       "5       5.427685314011878                                 12.393162393162394   \n",
       "6       5.228080137827035                                                0.0   \n",
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       "9      3.4920793377518957                                                0.0   \n",
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       "\n",
       "        SNP_2018-2022_moe                                      SNQ_2018-2022  \\\n",
       "0   (90% margin of error)  Households in poverty not receiving food stamp...   \n",
       "1                     NaN  Percent of households with income in the past ...   \n",
       "2                     NaN           American Community Survey (Table B22003)   \n",
       "3                     ---                                                ---   \n",
       "4      0.2053610030263727                                              100.0   \n",
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       "\n",
       "        SNQ_2018-2022_moe  \n",
       "0   (90% margin of error)  \n",
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       "2                     NaN  \n",
       "3                     ---  \n",
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       "\n",
       "[20 rows x 34 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chamup_df = pd.read_csv('CHAMUPGeozipcodes.csv')\n",
    "chamup_df.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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    "deepnote_to_be_reexecuted": false,
    "execution_millis": 101,
    "execution_start": 1723989497334,
    "source_hash": null
   },
   "outputs": [
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         "HDALR_2022": "nan",
         "HDALR_2022_moe": "nan",
         "HDAL_2022": "nan",
         "HDAL_2022_moe": "nan",
         "HDDIAR_2022": "nan",
         "HDDIAR_2022_moe": "nan",
         "HDDIA_2022": "nan",
         "HDDIA_2022_moe": "nan",
         "LFA_2019": "0.0",
         "LFA_2019_moe": "nan",
         "Latitude": "41.88206000",
         "Layer": "Zip code",
         "Longitude": "-87.63735300",
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       "      <th>LFA_2019_moe</th>\n",
       "      <th>UNI_2018-2022</th>\n",
       "      <th>UNI_2018-2022_moe</th>\n",
       "      <th>UNS_2018-2022</th>\n",
       "      <th>UNS_2018-2022_moe</th>\n",
       "      <th>SNP_2018-2022</th>\n",
       "      <th>SNP_2018-2022_moe</th>\n",
       "      <th>SNQ_2018-2022</th>\n",
       "      <th>SNQ_2018-2022_moe</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(Indicator name)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Population (residents), 2018-2022</td>\n",
       "      <td>(90% margin of error)</td>\n",
       "      <td>Demographics, Non-Hispanic White (% of residen...</td>\n",
       "      <td>(90% margin of error)</td>\n",
       "      <td>...</td>\n",
       "      <td>Low food access (% of residents), 2019</td>\n",
       "      <td>(90% margin of error)</td>\n",
       "      <td>Uninsured residents (residents), 2018-2022</td>\n",
       "      <td>(90% margin of error)</td>\n",
       "      <td>Uninsured rate (% of residents), 2018-2022</td>\n",
       "      <td>(90% margin of error)</td>\n",
       "      <td>Food stamps (SNAP) (% of households), 2018-2022</td>\n",
       "      <td>(90% margin of error)</td>\n",
       "      <td>Households in poverty not receiving food stamp...</td>\n",
       "      <td>(90% margin of error)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>(Definition)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Average population over the time period.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Percent of residents within each demographic g...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Percent of residents who have low access to fo...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Number of residents without health insurance.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Percent of residents without health insurance ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Percent of households receiving Supplemental N...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Percent of households with income in the past ...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(Citation)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>American Community Survey (ACS: Table B01001; ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>American Community Survey (Table B01001)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>USDA, Economic Research Service, Food Access R...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>American Community Survey (Tables B27001/C27001)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>American Community Survey (Tables B27001/C27001)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>American Community Survey (Tables B22003, B220...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>American Community Survey (Table B22003)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>...</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "      <td>---</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60601</td>\n",
       "      <td>60601</td>\n",
       "      <td>15814</td>\n",
       "      <td>-87.62209200</td>\n",
       "      <td>41.88530300</td>\n",
       "      <td>16398.0</td>\n",
       "      <td>1721.0</td>\n",
       "      <td>52.76253201609953</td>\n",
       "      <td>6.546221422721316</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>999.0</td>\n",
       "      <td>425.90961482455407</td>\n",
       "      <td>6.097412109375</td>\n",
       "      <td>2.5193146185450663</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2053610030263727</td>\n",
       "      <td>100.0</td>\n",
       "      <td>91.70326784584364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60659</td>\n",
       "      <td>60659</td>\n",
       "      <td>40579</td>\n",
       "      <td>-87.70398600</td>\n",
       "      <td>41.99148800</td>\n",
       "      <td>42621.0</td>\n",
       "      <td>2874.0</td>\n",
       "      <td>36.28962248656765</td>\n",
       "      <td>2.574932303611675</td>\n",
       "      <td>...</td>\n",
       "      <td>22.610705644891866</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5960.0</td>\n",
       "      <td>887.5511252880028</td>\n",
       "      <td>14.055940757511436</td>\n",
       "      <td>1.8639711883239136</td>\n",
       "      <td>22.464670132532767</td>\n",
       "      <td>3.4294761459302627</td>\n",
       "      <td>39.80365908076752</td>\n",
       "      <td>9.180700035024618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60660</td>\n",
       "      <td>60660</td>\n",
       "      <td>42534</td>\n",
       "      <td>-87.66307600</td>\n",
       "      <td>41.99111000</td>\n",
       "      <td>42895.0</td>\n",
       "      <td>1873.9999999999998</td>\n",
       "      <td>48.43221820725026</td>\n",
       "      <td>1.2261423407052925</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4173.0</td>\n",
       "      <td>828.4147511965248</td>\n",
       "      <td>9.87178274034822</td>\n",
       "      <td>1.9105015505170662</td>\n",
       "      <td>13.065422340729455</td>\n",
       "      <td>1.6841451725938184</td>\n",
       "      <td>65.04602991944765</td>\n",
       "      <td>7.701356454576164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60661</td>\n",
       "      <td>60661</td>\n",
       "      <td>11987</td>\n",
       "      <td>-87.64409900</td>\n",
       "      <td>41.88303000</td>\n",
       "      <td>11513.0</td>\n",
       "      <td>964.0</td>\n",
       "      <td>57.14409797620081</td>\n",
       "      <td>5.275835768859286</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>193.0</td>\n",
       "      <td>160.60510577189007</td>\n",
       "      <td>1.6763658473030487</td>\n",
       "      <td>1.3879094533484708</td>\n",
       "      <td>1.092065247442632</td>\n",
       "      <td>1.0616735512884428</td>\n",
       "      <td>92.63657957244656</td>\n",
       "      <td>19.86682930661196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60707</td>\n",
       "      <td>60707</td>\n",
       "      <td>43241</td>\n",
       "      <td>-87.80728200</td>\n",
       "      <td>41.92185300</td>\n",
       "      <td>40845.0</td>\n",
       "      <td>1381.0</td>\n",
       "      <td>48.5910148120945</td>\n",
       "      <td>3.0722078993226267</td>\n",
       "      <td>...</td>\n",
       "      <td>21.85607325117006</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3442.0</td>\n",
       "      <td>530.5638510113556</td>\n",
       "      <td>8.46469763667216</td>\n",
       "      <td>1.2727662457059332</td>\n",
       "      <td>14.270311409906766</td>\n",
       "      <td>2.4207866397037514</td>\n",
       "      <td>65.29169121979965</td>\n",
       "      <td>9.709132375210586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Zip code</td>\n",
       "      <td>60827</td>\n",
       "      <td>60827</td>\n",
       "      <td>24936</td>\n",
       "      <td>-87.63357200</td>\n",
       "      <td>41.64943400</td>\n",
       "      <td>25538.0</td>\n",
       "      <td>1080.0</td>\n",
       "      <td>1.1708042916438248</td>\n",
       "      <td>1.028646935458862</td>\n",
       "      <td>...</td>\n",
       "      <td>74.56330568756154</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2070.0</td>\n",
       "      <td>395.6349327347119</td>\n",
       "      <td>8.107790529160628</td>\n",
       "      <td>1.511194916953002</td>\n",
       "      <td>40.62265967690168</td>\n",
       "      <td>3.070760370958625</td>\n",
       "      <td>29.21615201900237</td>\n",
       "      <td>7.615071657722277</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>62 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Layer   Name  GEOID Population     Longitude     Latitude  \\\n",
       "0   (Indicator name)    NaN    NaN        NaN           NaN          NaN   \n",
       "1       (Definition)    NaN    NaN        NaN           NaN          NaN   \n",
       "2         (Citation)    NaN    NaN        NaN           NaN          NaN   \n",
       "3                ---    ---    ---        ---           ---          ---   \n",
       "4           Zip code  60601  60601      15814  -87.62209200  41.88530300   \n",
       "..               ...    ...    ...        ...           ...          ...   \n",
       "57          Zip code  60659  60659      40579  -87.70398600  41.99148800   \n",
       "58          Zip code  60660  60660      42534  -87.66307600  41.99111000   \n",
       "59          Zip code  60661  60661      11987  -87.64409900  41.88303000   \n",
       "60          Zip code  60707  60707      43241  -87.80728200  41.92185300   \n",
       "61          Zip code  60827  60827      24936  -87.63357200  41.64943400   \n",
       "\n",
       "                                        POP_2018-2022      POP_2018-2022_moe  \\\n",
       "0                   Population (residents), 2018-2022  (90% margin of error)   \n",
       "1            Average population over the time period.                    NaN   \n",
       "2   American Community Survey (ACS: Table B01001; ...                    NaN   \n",
       "3                                                 ---                    ---   \n",
       "4                                             16398.0                 1721.0   \n",
       "..                                                ...                    ...   \n",
       "57                                            42621.0                 2874.0   \n",
       "58                                            42895.0     1873.9999999999998   \n",
       "59                                            11513.0                  964.0   \n",
       "60                                            40845.0                 1381.0   \n",
       "61                                            25538.0                 1080.0   \n",
       "\n",
       "                                      PCT-W_2018-2022    PCT-W_2018-2022_moe  \\\n",
       "0   Demographics, Non-Hispanic White (% of residen...  (90% margin of error)   \n",
       "1   Percent of residents within each demographic g...                    NaN   \n",
       "2            American Community Survey (Table B01001)                    NaN   \n",
       "3                                                 ---                    ---   \n",
       "4                                   52.76253201609953      6.546221422721316   \n",
       "..                                                ...                    ...   \n",
       "57                                  36.28962248656765      2.574932303611675   \n",
       "58                                  48.43221820725026     1.2261423407052925   \n",
       "59                                  57.14409797620081      5.275835768859286   \n",
       "60                                   48.5910148120945     3.0722078993226267   \n",
       "61                                 1.1708042916438248      1.028646935458862   \n",
       "\n",
       "    ...                                           LFA_2019  \\\n",
       "0   ...             Low food access (% of residents), 2019   \n",
       "1   ...  Percent of residents who have low access to fo...   \n",
       "2   ...  USDA, Economic Research Service, Food Access R...   \n",
       "3   ...                                                ---   \n",
       "4   ...                                                0.0   \n",
       "..  ...                                                ...   \n",
       "57  ...                                 22.610705644891866   \n",
       "58  ...                                                0.0   \n",
       "59  ...                                                0.0   \n",
       "60  ...                                  21.85607325117006   \n",
       "61  ...                                  74.56330568756154   \n",
       "\n",
       "             LFA_2019_moe                                     UNI_2018-2022  \\\n",
       "0   (90% margin of error)        Uninsured residents (residents), 2018-2022   \n",
       "1                     NaN     Number of residents without health insurance.   \n",
       "2                     NaN  American Community Survey (Tables B27001/C27001)   \n",
       "3                     ---                                               ---   \n",
       "4                     NaN                                             999.0   \n",
       "..                    ...                                               ...   \n",
       "57                    NaN                                            5960.0   \n",
       "58                    NaN                                            4173.0   \n",
       "59                    NaN                                             193.0   \n",
       "60                    NaN                                            3442.0   \n",
       "61                    NaN                                            2070.0   \n",
       "\n",
       "        UNI_2018-2022_moe                                      UNS_2018-2022  \\\n",
       "0   (90% margin of error)         Uninsured rate (% of residents), 2018-2022   \n",
       "1                     NaN  Percent of residents without health insurance ...   \n",
       "2                     NaN   American Community Survey (Tables B27001/C27001)   \n",
       "3                     ---                                                ---   \n",
       "4      425.90961482455407                                     6.097412109375   \n",
       "..                    ...                                                ...   \n",
       "57      887.5511252880028                                 14.055940757511436   \n",
       "58      828.4147511965248                                   9.87178274034822   \n",
       "59     160.60510577189007                                 1.6763658473030487   \n",
       "60      530.5638510113556                                   8.46469763667216   \n",
       "61      395.6349327347119                                  8.107790529160628   \n",
       "\n",
       "        UNS_2018-2022_moe                                      SNP_2018-2022  \\\n",
       "0   (90% margin of error)    Food stamps (SNAP) (% of households), 2018-2022   \n",
       "1                     NaN  Percent of households receiving Supplemental N...   \n",
       "2                     NaN  American Community Survey (Tables B22003, B220...   \n",
       "3                     ---                                                ---   \n",
       "4      2.5193146185450663                                                0.0   \n",
       "..                    ...                                                ...   \n",
       "57     1.8639711883239136                                 22.464670132532767   \n",
       "58     1.9105015505170662                                 13.065422340729455   \n",
       "59     1.3879094533484708                                  1.092065247442632   \n",
       "60     1.2727662457059332                                 14.270311409906766   \n",
       "61      1.511194916953002                                  40.62265967690168   \n",
       "\n",
       "        SNP_2018-2022_moe                                      SNQ_2018-2022  \\\n",
       "0   (90% margin of error)  Households in poverty not receiving food stamp...   \n",
       "1                     NaN  Percent of households with income in the past ...   \n",
       "2                     NaN           American Community Survey (Table B22003)   \n",
       "3                     ---                                                ---   \n",
       "4      0.2053610030263727                                              100.0   \n",
       "..                    ...                                                ...   \n",
       "57     3.4294761459302627                                  39.80365908076752   \n",
       "58     1.6841451725938184                                  65.04602991944765   \n",
       "59     1.0616735512884428                                  92.63657957244656   \n",
       "60     2.4207866397037514                                  65.29169121979965   \n",
       "61      3.070760370958625                                  29.21615201900237   \n",
       "\n",
       "        SNQ_2018-2022_moe  \n",
       "0   (90% margin of error)  \n",
       "1                     NaN  \n",
       "2                     NaN  \n",
       "3                     ---  \n",
       "4       91.70326784584364  \n",
       "..                    ...  \n",
       "57      9.180700035024618  \n",
       "58      7.701356454576164  \n",
       "59      19.86682930661196  \n",
       "60      9.709132375210586  \n",
       "61      7.615071657722277  \n",
       "\n",
       "[62 rows x 34 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chamup_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cell_id": "f652bd02d00649359a1cd2e8e29ca918",
    "deepnote_cell_type": "code",
    "deepnote_to_be_reexecuted": false,
    "execution_millis": 131,
    "execution_start": 1723989090024,
    "source_hash": null
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 62 entries, 0 to 61\n",
      "Data columns (total 34 columns):\n",
      " #   Column               Non-Null Count  Dtype \n",
      "---  ------               --------------  ----- \n",
      " 0   Layer                62 non-null     object\n",
      " 1   Name                 59 non-null     object\n",
      " 2   GEOID                59 non-null     object\n",
      " 3   Population           59 non-null     object\n",
      " 4   Longitude            59 non-null     object\n",
      " 5   Latitude             59 non-null     object\n",
      " 6   POP_2018-2022        62 non-null     object\n",
      " 7   POP_2018-2022_moe    60 non-null     object\n",
      " 8   PCT-W_2018-2022      62 non-null     object\n",
      " 9   PCT-W_2018-2022_moe  60 non-null     object\n",
      " 10  HDAL_2022            58 non-null     object\n",
      " 11  HDAL_2022_moe        2 non-null      object\n",
      " 12  HDALR_2022           58 non-null     object\n",
      " 13  HDALR_2022_moe       56 non-null     object\n",
      " 14  EDB_2018-2022        62 non-null     object\n",
      " 15  EDB_2018-2022_moe    60 non-null     object\n",
      " 16  UMP_2018-2022        62 non-null     object\n",
      " 17  UMP_2018-2022_moe    60 non-null     object\n",
      " 18  HDDIA_2022           56 non-null     object\n",
      " 19  HDDIA_2022_moe       2 non-null      object\n",
      " 20  HDDIAR_2022          56 non-null     object\n",
      " 21  HDDIAR_2022_moe      54 non-null     object\n",
      " 22  FAI_2022             62 non-null     object\n",
      " 23  FAI_2022_moe         2 non-null      object\n",
      " 24  LFA_2019             62 non-null     object\n",
      " 25  LFA_2019_moe         2 non-null      object\n",
      " 26  UNI_2018-2022        62 non-null     object\n",
      " 27  UNI_2018-2022_moe    60 non-null     object\n",
      " 28  UNS_2018-2022        62 non-null     object\n",
      " 29  UNS_2018-2022_moe    60 non-null     object\n",
      " 30  SNP_2018-2022        62 non-null     object\n",
      " 31  SNP_2018-2022_moe    60 non-null     object\n",
      " 32  SNQ_2018-2022        62 non-null     object\n",
      " 33  SNQ_2018-2022_moe    60 non-null     object\n",
      "dtypes: object(34)\n",
      "memory usage: 16.6+ KB\n"
     ]
    }
   ],
   "source": [
    "chamup_df.info()"
   ]
  },
  {
   "cell_type": "code",
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    "execution_start": 1723993012456,
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   "source": [
    "chamup_df.rename(columns={'Layer': 'layer'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cell_id": "52877821089a4dc08b356d09b2ceacb8",
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    "execution_millis": 151,
    "execution_start": 1723993103224,
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   },
   "outputs": [],
   "source": [
    "chamup_df.drop(['Name'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cell_id": "df2d3a41179e4dbba03a07dab4301640",
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    "execution_start": 1723993126053,
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 62 entries, 0 to 61\n",
      "Data columns (total 32 columns):\n",
      " #   Column               Non-Null Count  Dtype \n",
      "---  ------               --------------  ----- \n",
      " 0   GEOID                59 non-null     object\n",
      " 1   Population           59 non-null     object\n",
      " 2   Longitude            59 non-null     object\n",
      " 3   Latitude             59 non-null     object\n",
      " 4   POP_2018-2022        62 non-null     object\n",
      " 5   POP_2018-2022_moe    60 non-null     object\n",
      " 6   PCT-W_2018-2022      62 non-null     object\n",
      " 7   PCT-W_2018-2022_moe  60 non-null     object\n",
      " 8   HDAL_2022            58 non-null     object\n",
      " 9   HDAL_2022_moe        2 non-null      object\n",
      " 10  HDALR_2022           58 non-null     object\n",
      " 11  HDALR_2022_moe       56 non-null     object\n",
      " 12  EDB_2018-2022        62 non-null     object\n",
      " 13  EDB_2018-2022_moe    60 non-null     object\n",
      " 14  UMP_2018-2022        62 non-null     object\n",
      " 15  UMP_2018-2022_moe    60 non-null     object\n",
      " 16  HDDIA_2022           56 non-null     object\n",
      " 17  HDDIA_2022_moe       2 non-null      object\n",
      " 18  HDDIAR_2022          56 non-null     object\n",
      " 19  HDDIAR_2022_moe      54 non-null     object\n",
      " 20  FAI_2022             62 non-null     object\n",
      " 21  FAI_2022_moe         2 non-null      object\n",
      " 22  LFA_2019             62 non-null     object\n",
      " 23  LFA_2019_moe         2 non-null      object\n",
      " 24  UNI_2018-2022        62 non-null     object\n",
      " 25  UNI_2018-2022_moe    60 non-null     object\n",
      " 26  UNS_2018-2022        62 non-null     object\n",
      " 27  UNS_2018-2022_moe    60 non-null     object\n",
      " 28  SNP_2018-2022        62 non-null     object\n",
      " 29  SNP_2018-2022_moe    60 non-null     object\n",
      " 30  SNQ_2018-2022        62 non-null     object\n",
      " 31  SNQ_2018-2022_moe    60 non-null     object\n",
      "dtypes: object(32)\n",
      "memory usage: 15.6+ KB\n"
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    }
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  {
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   "source": [
    "## Upon arrival 2 PIRDDIIQ"
   ]
  },
  {
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   "execution_count": null,
   "metadata": {
    "cell_id": "14469a4cc3ec443ca432bfd103898c7e",
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    "deepnote_sql_source": "SELECT *\nFROM 'SmokingBaseline.csv'",
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    "deepnote_variable_name": "df_2",
    "execution_millis": 559,
    "execution_start": 1724011706451,
    "source_hash": null,
    "sql_integration_id": "deepnote-dataframe-sql"
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38979</th>\n",
       "      <td>40</td>\n",
       "      <td>165</td>\n",
       "      <td>60</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.6</td>\n",
       "      <td>107</td>\n",
       "      <td>93</td>\n",
       "      <td>53</td>\n",
       "      <td>61</td>\n",
       "      <td>72</td>\n",
       "      <td>144</td>\n",
       "      <td>0.5</td>\n",
       "      <td>12.3</td>\n",
       "      <td>60</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>38980</th>\n",
       "      <td>45</td>\n",
       "      <td>155</td>\n",
       "      <td>55</td>\n",
       "      <td>75.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.2</td>\n",
       "      <td>126</td>\n",
       "      <td>91</td>\n",
       "      <td>100</td>\n",
       "      <td>76</td>\n",
       "      <td>131</td>\n",
       "      <td>227</td>\n",
       "      <td>0.6</td>\n",
       "      <td>12.5</td>\n",
       "      <td>72</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38981</th>\n",
       "      <td>40</td>\n",
       "      <td>170</td>\n",
       "      <td>105</td>\n",
       "      <td>124.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.5</td>\n",
       "      <td>141</td>\n",
       "      <td>115</td>\n",
       "      <td>196</td>\n",
       "      <td>48</td>\n",
       "      <td>138</td>\n",
       "      <td>225</td>\n",
       "      <td>0.8</td>\n",
       "      <td>17.1</td>\n",
       "      <td>85</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>38982</th>\n",
       "      <td>40</td>\n",
       "      <td>160</td>\n",
       "      <td>55</td>\n",
       "      <td>75.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>95</td>\n",
       "      <td>102</td>\n",
       "      <td>48</td>\n",
       "      <td>79</td>\n",
       "      <td>116</td>\n",
       "      <td>206</td>\n",
       "      <td>0.6</td>\n",
       "      <td>12.0</td>\n",
       "      <td>69</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>38983</th>\n",
       "      <td>55</td>\n",
       "      <td>175</td>\n",
       "      <td>60</td>\n",
       "      <td>81.1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>114</td>\n",
       "      <td>86</td>\n",
       "      <td>57</td>\n",
       "      <td>64</td>\n",
       "      <td>137</td>\n",
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       "      <td>1.0</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>38984 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Age  height(cm)  weight(kg)  waist(cm)  eyesight(left)  \\\n",
       "0       35         170          85       97.0             0.9   \n",
       "1       20         175         110      110.0             0.7   \n",
       "2       45         155          65       86.0             0.9   \n",
       "3       45         165          80       94.0             0.8   \n",
       "4       20         165          60       81.0             1.5   \n",
       "...    ...         ...         ...        ...             ...   \n",
       "38979   40         165          60       80.0             0.4   \n",
       "38980   45         155          55       75.0             1.5   \n",
       "38981   40         170         105      124.0             0.6   \n",
       "38982   40         160          55       75.0             1.5   \n",
       "38983   55         175          60       81.1             1.0   \n",
       "\n",
       "       eyesight(right)  systolic  fasting blood sugar  triglyceride  HDL  LDL  \\\n",
       "0                  0.9       118                   97           153   70  142   \n",
       "1                  0.9       119                   88           128   71  114   \n",
       "2                  0.9       110                   80           120   57  112   \n",
       "3                  0.7       158                  249           366   46   91   \n",
       "4                  0.1       109                  100           200   47   92   \n",
       "...                ...       ...                  ...           ...  ...  ...   \n",
       "38979              0.6       107                   93            53   61   72   \n",
       "38980              1.2       126                   91           100   76  131   \n",
       "38981              0.5       141                  115           196   48  138   \n",
       "38982              1.5        95                  102            48   79  116   \n",
       "38983              1.0       114                   86            57   64  137   \n",
       "\n",
       "       Cholesterol  serum creatinine  hemoglobin  relaxation  Urine protein  \\\n",
       "0              239               1.0        19.8          78              1   \n",
       "1              211               1.1        15.9          79              1   \n",
       "2              193               0.6        13.7          80              3   \n",
       "3              210               0.9        16.9          88              1   \n",
       "4              179               1.2        14.9          64              1   \n",
       "...            ...               ...         ...         ...            ...   \n",
       "38979          144               0.5        12.3          60              1   \n",
       "38980          227               0.6        12.5          72              2   \n",
       "38981          225               0.8        17.1          85              1   \n",
       "38982          206               0.6        12.0          69              1   \n",
       "38983          212               1.0        13.9          66              1   \n",
       "\n",
       "       hearing(left)  hearing(right)  dental caries  smoking  \n",
       "0                  1               1              1        1  \n",
       "1                  1               1              1        0  \n",
       "2                  1               1              0        0  \n",
       "3                  1               1              0        0  \n",
       "4                  1               1              0        0  \n",
       "...              ...             ...            ...      ...  \n",
       "38979              1               1              1        0  \n",
       "38980              1               1              0        0  \n",
       "38981              1               1              1        1  \n",
       "38982              1               1              0        1  \n",
       "38983              1               1              0        1  \n",
       "\n",
       "[38984 rows x 20 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2 = _deepnote_execute_sql('SELECT *\\nFROM \\'SmokingBaseline.csv\\'', 'SQL_DEEPNOTE_DATAFRAME_SQL', audit_sql_comment='', sql_cache_mode='cache_disabled')\n",
    "df_2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cell_id": "1c524cf66a434b42a97ba0c52c0e4673",
    "deepnote_cell_type": "code",
    "deepnote_table_loading": false,
    "deepnote_table_state": {
     "conditionalFilters": [],
     "filters": [],
     "pageIndex": 1,
     "pageSize": 10,
     "sortBy": []
    },
    "deepnote_to_be_reexecuted": false,
    "execution_millis": 199,
    "execution_start": 1724011898268,
    "source_hash": null
   },
   "outputs": [
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       "      <td>1.1</td>\n",
       "      <td>15.9</td>\n",
       "      <td>79</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>45</td>\n",
       "      <td>155</td>\n",
       "      <td>65</td>\n",
       "      <td>86.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.9</td>\n",
       "      <td>110</td>\n",
       "      <td>80</td>\n",
       "      <td>120</td>\n",
       "      <td>57</td>\n",
       "      <td>112</td>\n",
       "      <td>193</td>\n",
       "      <td>0.6</td>\n",
       "      <td>13.7</td>\n",
       "      <td>80</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>45</td>\n",
       "      <td>165</td>\n",
       "      <td>80</td>\n",
       "      <td>94.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.7</td>\n",
       "      <td>158</td>\n",
       "      <td>249</td>\n",
       "      <td>366</td>\n",
       "      <td>46</td>\n",
       "      <td>91</td>\n",
       "      <td>210</td>\n",
       "      <td>0.9</td>\n",
       "      <td>16.9</td>\n",
       "      <td>88</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20</td>\n",
       "      <td>165</td>\n",
       "      <td>60</td>\n",
       "      <td>81.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>109</td>\n",
       "      <td>100</td>\n",
       "      <td>200</td>\n",
       "      <td>47</td>\n",
       "      <td>92</td>\n",
       "      <td>179</td>\n",
       "      <td>1.2</td>\n",
       "      <td>14.9</td>\n",
       "      <td>64</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>60</td>\n",
       "      <td>160</td>\n",
       "      <td>50</td>\n",
       "      <td>78.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>126</td>\n",
       "      <td>114</td>\n",
       "      <td>74</td>\n",
       "      <td>98</td>\n",
       "      <td>64</td>\n",
       "      <td>177</td>\n",
       "      <td>1.0</td>\n",
       "      <td>13.9</td>\n",
       "      <td>75</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>40</td>\n",
       "      <td>175</td>\n",
       "      <td>90</td>\n",
       "      <td>95.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>130</td>\n",
       "      <td>90</td>\n",
       "      <td>331</td>\n",
       "      <td>39</td>\n",
       "      <td>102</td>\n",
       "      <td>207</td>\n",
       "      <td>1.0</td>\n",
       "      <td>16.5</td>\n",
       "      <td>88</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>40</td>\n",
       "      <td>180</td>\n",
       "      <td>75</td>\n",
       "      <td>85.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>110</td>\n",
       "      <td>100</td>\n",
       "      <td>62</td>\n",
       "      <td>58</td>\n",
       "      <td>99</td>\n",
       "      <td>170</td>\n",
       "      <td>1.4</td>\n",
       "      <td>14.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>40</td>\n",
       "      <td>170</td>\n",
       "      <td>60</td>\n",
       "      <td>74.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.5</td>\n",
       "      <td>89</td>\n",
       "      <td>83</td>\n",
       "      <td>69</td>\n",
       "      <td>60</td>\n",
       "      <td>104</td>\n",
       "      <td>178</td>\n",
       "      <td>0.7</td>\n",
       "      <td>12.9</td>\n",
       "      <td>57</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>45</td>\n",
       "      <td>155</td>\n",
       "      <td>55</td>\n",
       "      <td>78.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>1.0</td>\n",
       "      <td>114</td>\n",
       "      <td>96</td>\n",
       "      <td>177</td>\n",
       "      <td>41</td>\n",
       "      <td>107</td>\n",
       "      <td>184</td>\n",
       "      <td>0.6</td>\n",
       "      <td>13.1</td>\n",
       "      <td>81</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>40</td>\n",
       "      <td>160</td>\n",
       "      <td>60</td>\n",
       "      <td>77.6</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>130</td>\n",
       "      <td>94</td>\n",
       "      <td>91</td>\n",
       "      <td>63</td>\n",
       "      <td>73</td>\n",
       "      <td>154</td>\n",
       "      <td>0.5</td>\n",
       "      <td>14.3</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>50</td>\n",
       "      <td>155</td>\n",
       "      <td>50</td>\n",
       "      <td>72.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.8</td>\n",
       "      <td>112</td>\n",
       "      <td>83</td>\n",
       "      <td>35</td>\n",
       "      <td>59</td>\n",
       "      <td>69</td>\n",
       "      <td>135</td>\n",
       "      <td>0.9</td>\n",
       "      <td>12.5</td>\n",
       "      <td>64</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>50</td>\n",
       "      <td>160</td>\n",
       "      <td>60</td>\n",
       "      <td>89.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.8</td>\n",
       "      <td>125</td>\n",
       "      <td>97</td>\n",
       "      <td>39</td>\n",
       "      <td>87</td>\n",
       "      <td>112</td>\n",
       "      <td>207</td>\n",
       "      <td>0.9</td>\n",
       "      <td>12.8</td>\n",
       "      <td>76</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>75</td>\n",
       "      <td>155</td>\n",
       "      <td>50</td>\n",
       "      <td>71.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>114</td>\n",
       "      <td>86</td>\n",
       "      <td>71</td>\n",
       "      <td>72</td>\n",
       "      <td>144</td>\n",
       "      <td>230</td>\n",
       "      <td>0.6</td>\n",
       "      <td>12.6</td>\n",
       "      <td>68</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>40</td>\n",
       "      <td>150</td>\n",
       "      <td>40</td>\n",
       "      <td>62.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>101</td>\n",
       "      <td>78</td>\n",
       "      <td>105</td>\n",
       "      <td>71</td>\n",
       "      <td>167</td>\n",
       "      <td>259</td>\n",
       "      <td>1.0</td>\n",
       "      <td>13.4</td>\n",
       "      <td>72</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>60</td>\n",
       "      <td>165</td>\n",
       "      <td>75</td>\n",
       "      <td>92.0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.2</td>\n",
       "      <td>127</td>\n",
       "      <td>129</td>\n",
       "      <td>130</td>\n",
       "      <td>49</td>\n",
       "      <td>88</td>\n",
       "      <td>163</td>\n",
       "      <td>1.1</td>\n",
       "      <td>16.4</td>\n",
       "      <td>84</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>50</td>\n",
       "      <td>170</td>\n",
       "      <td>75</td>\n",
       "      <td>84.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>120</td>\n",
       "      <td>268</td>\n",
       "      <td>118</td>\n",
       "      <td>53</td>\n",
       "      <td>149</td>\n",
       "      <td>226</td>\n",
       "      <td>1.0</td>\n",
       "      <td>15.4</td>\n",
       "      <td>88</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>40</td>\n",
       "      <td>175</td>\n",
       "      <td>70</td>\n",
       "      <td>78.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>118</td>\n",
       "      <td>55</td>\n",
       "      <td>37</td>\n",
       "      <td>79</td>\n",
       "      <td>78</td>\n",
       "      <td>164</td>\n",
       "      <td>0.7</td>\n",
       "      <td>16.1</td>\n",
       "      <td>73</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>40</td>\n",
       "      <td>170</td>\n",
       "      <td>65</td>\n",
       "      <td>81.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>151</td>\n",
       "      <td>134</td>\n",
       "      <td>89</td>\n",
       "      <td>61</td>\n",
       "      <td>95</td>\n",
       "      <td>174</td>\n",
       "      <td>1.0</td>\n",
       "      <td>15.1</td>\n",
       "      <td>103</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>55</td>\n",
       "      <td>175</td>\n",
       "      <td>70</td>\n",
       "      <td>85.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.2</td>\n",
       "      <td>110</td>\n",
       "      <td>93</td>\n",
       "      <td>66</td>\n",
       "      <td>36</td>\n",
       "      <td>73</td>\n",
       "      <td>122</td>\n",
       "      <td>0.8</td>\n",
       "      <td>14.9</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Age  height(cm)  weight(kg)  waist(cm)  eyesight(left)  eyesight(right)  \\\n",
       "0    35         170          85       97.0             0.9              0.9   \n",
       "1    20         175         110      110.0             0.7              0.9   \n",
       "2    45         155          65       86.0             0.9              0.9   \n",
       "3    45         165          80       94.0             0.8              0.7   \n",
       "4    20         165          60       81.0             1.5              0.1   \n",
       "5    60         160          50       78.0             1.0              0.9   \n",
       "6    40         175          90       95.0             0.9              1.0   \n",
       "7    40         180          75       85.0             1.5              1.5   \n",
       "8    40         170          60       74.0             1.2              1.5   \n",
       "9    45         155          55       78.0             0.7              1.0   \n",
       "10   40         160          60       77.6             0.5              0.5   \n",
       "11   50         155          50       72.0             0.5              0.8   \n",
       "12   50         160          60       89.0             0.8              0.8   \n",
       "13   75         155          50       71.0             0.5              0.1   \n",
       "14   40         150          40       62.0             1.0              1.5   \n",
       "15   60         165          75       92.0             0.3              1.2   \n",
       "16   50         170          75       84.0             1.0              1.2   \n",
       "17   40         175          70       78.5             1.5              1.0   \n",
       "18   40         170          65       81.0             1.5              1.5   \n",
       "19   55         175          70       85.0             1.2              1.2   \n",
       "\n",
       "    systolic  fasting blood sugar  triglyceride  HDL  LDL  Cholesterol  \\\n",
       "0        118                   97           153   70  142          239   \n",
       "1        119                   88           128   71  114          211   \n",
       "2        110                   80           120   57  112          193   \n",
       "3        158                  249           366   46   91          210   \n",
       "4        109                  100           200   47   92          179   \n",
       "5        126                  114            74   98   64          177   \n",
       "6        130                   90           331   39  102          207   \n",
       "7        110                  100            62   58   99          170   \n",
       "8         89                   83            69   60  104          178   \n",
       "9        114                   96           177   41  107          184   \n",
       "10       130                   94            91   63   73          154   \n",
       "11       112                   83            35   59   69          135   \n",
       "12       125                   97            39   87  112          207   \n",
       "13       114                   86            71   72  144          230   \n",
       "14       101                   78           105   71  167          259   \n",
       "15       127                  129           130   49   88          163   \n",
       "16       120                  268           118   53  149          226   \n",
       "17       118                   55            37   79   78          164   \n",
       "18       151                  134            89   61   95          174   \n",
       "19       110                   93            66   36   73          122   \n",
       "\n",
       "    serum creatinine  hemoglobin  relaxation  Urine protein  hearing(left)  \\\n",
       "0                1.0        19.8          78              1              1   \n",
       "1                1.1        15.9          79              1              1   \n",
       "2                0.6        13.7          80              3              1   \n",
       "3                0.9        16.9          88              1              1   \n",
       "4                1.2        14.9          64              1              1   \n",
       "5                1.0        13.9          75              1              2   \n",
       "6                1.0        16.5          88              1              1   \n",
       "7                1.4        14.0          60              2              1   \n",
       "8                0.7        12.9          57              2              1   \n",
       "9                0.6        13.1          81              1              1   \n",
       "10               0.5        14.3          80              1              1   \n",
       "11               0.9        12.5          64              1              1   \n",
       "12               0.9        12.8          76              1              1   \n",
       "13               0.6        12.6          68              1              1   \n",
       "14               1.0        13.4          72              1              1   \n",
       "15               1.1        16.4          84              1              1   \n",
       "16               1.0        15.4          88              1              1   \n",
       "17               0.7        16.1          73              1              1   \n",
       "18               1.0        15.1         103              1              1   \n",
       "19               0.8        14.9          70              1              1   \n",
       "\n",
       "    hearing(right)  dental caries  smoking  \n",
       "0                1              1        1  \n",
       "1                1              1        0  \n",
       "2                1              0        0  \n",
       "3                1              0        0  \n",
       "4                1              0        0  \n",
       "5                2              0        1  \n",
       "6                1              0        0  \n",
       "7                1              1        1  \n",
       "8                1              0        0  \n",
       "9                1              0        0  \n",
       "10               1              0        1  \n",
       "11               1              0        0  \n",
       "12               1              1        0  \n",
       "13               1              0        0  \n",
       "14               1              0        0  \n",
       "15               1              0        0  \n",
       "16               1              1        1  \n",
       "17               1              0        1  \n",
       "18               1              1        1  \n",
       "19               1              0        0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "smoke_df = pd.read_csv('SmokingBaseline.csv')\n",
    "smoke_df.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cell_id": "b83e18ceb14548beb14f542e52129445",
    "deepnote_cell_type": "code",
    "deepnote_to_be_reexecuted": false,
    "execution_millis": 94,
    "execution_start": 1724011992036,
    "source_hash": null
   },
   "outputs": [
    {
     "data": {
      "application/vnd.deepnote.dataframe.v3+json": {
       "column_count": 20,
       "columns": [
        {
         "dtype": "int64",
         "name": "Age",
         "stats": {
          "histogram": [
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       "...    ...         ...         ...        ...             ...   \n",
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       "38980   45         155          55       75.0             1.5   \n",
       "38981   40         170         105      124.0             0.6   \n",
       "38982   40         160          55       75.0             1.5   \n",
       "38983   55         175          60       81.1             1.0   \n",
       "\n",
       "       eyesight(right)  systolic  fasting blood sugar  triglyceride  HDL  LDL  \\\n",
       "0                  0.9       118                   97           153   70  142   \n",
       "1                  0.9       119                   88           128   71  114   \n",
       "2                  0.9       110                   80           120   57  112   \n",
       "3                  0.7       158                  249           366   46   91   \n",
       "4                  0.1       109                  100           200   47   92   \n",
       "...                ...       ...                  ...           ...  ...  ...   \n",
       "38979              0.6       107                   93            53   61   72   \n",
       "38980              1.2       126                   91           100   76  131   \n",
       "38981              0.5       141                  115           196   48  138   \n",
       "38982              1.5        95                  102            48   79  116   \n",
       "38983              1.0       114                   86            57   64  137   \n",
       "\n",
       "       Cholesterol  serum creatinine  hemoglobin  relaxation  Urine protein  \\\n",
       "0              239               1.0        19.8          78              1   \n",
       "1              211               1.1        15.9          79              1   \n",
       "2              193               0.6        13.7          80              3   \n",
       "3              210               0.9        16.9          88              1   \n",
       "4              179               1.2        14.9          64              1   \n",
       "...            ...               ...         ...         ...            ...   \n",
       "38979          144               0.5        12.3          60              1   \n",
       "38980          227               0.6        12.5          72              2   \n",
       "38981          225               0.8        17.1          85              1   \n",
       "38982          206               0.6        12.0          69              1   \n",
       "38983          212               1.0        13.9          66              1   \n",
       "\n",
       "       hearing(left)  hearing(right)  dental caries  smoking  \n",
       "0                  1               1              1        1  \n",
       "1                  1               1              1        0  \n",
       "2                  1               1              0        0  \n",
       "3                  1               1              0        0  \n",
       "4                  1               1              0        0  \n",
       "...              ...             ...            ...      ...  \n",
       "38979              1               1              1        0  \n",
       "38980              1               1              0        0  \n",
       "38981              1               1              1        1  \n",
       "38982              1               1              0        1  \n",
       "38983              1               1              0        1  \n",
       "\n",
       "[38984 rows x 20 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "smoke_df"
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    "deepnote_to_be_reexecuted": false,
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    "execution_start": 1724012068105,
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 38984 entries, 0 to 38983\n",
      "Data columns (total 20 columns):\n",
      " #   Column               Non-Null Count  Dtype  \n",
      "---  ------               --------------  -----  \n",
      " 0   Age                  38984 non-null  int64  \n",
      " 1   height(cm)           38984 non-null  int64  \n",
      " 2   weight(kg)           38984 non-null  int64  \n",
      " 3   waist(cm)            38984 non-null  float64\n",
      " 4   eyesight(left)       38984 non-null  float64\n",
      " 5   eyesight(right)      38984 non-null  float64\n",
      " 6   systolic             38984 non-null  int64  \n",
      " 7   fasting blood sugar  38984 non-null  int64  \n",
      " 8   triglyceride         38984 non-null  int64  \n",
      " 9   HDL                  38984 non-null  int64  \n",
      " 10  LDL                  38984 non-null  int64  \n",
      " 11  Cholesterol          38984 non-null  int64  \n",
      " 12  serum creatinine     38984 non-null  float64\n",
      " 13  hemoglobin           38984 non-null  float64\n",
      " 14  relaxation           38984 non-null  int64  \n",
      " 15  Urine protein        38984 non-null  int64  \n",
      " 16  hearing(left)        38984 non-null  int64  \n",
      " 17  hearing(right)       38984 non-null  int64  \n",
      " 18  dental caries        38984 non-null  int64  \n",
      " 19  smoking              38984 non-null  int64  \n",
      "dtypes: float64(5), int64(15)\n",
      "memory usage: 5.9 MB\n"
     ]
    }
   ],
   "source": [
    "smoke_df.info()"
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  {
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    "deepnote_to_be_reexecuted": false,
    "execution_millis": 62,
    "execution_start": 1724012995821,
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       "   patient_age  height(cm)  weight(kg)  waist(cm)  eyesight(left)  \\\n",
       "0           35         170          85       97.0             0.9   \n",
       "1           20         175         110      110.0             0.7   \n",
       "2           45         155          65       86.0             0.9   \n",
       "3           45         165          80       94.0             0.8   \n",
       "4           20         165          60       81.0             1.5   \n",
       "\n",
       "   eyesight(right)  systolic  fasting blood sugar  triglyceride  HDL  LDL  \\\n",
       "0              0.9       118                   97           153   70  142   \n",
       "1              0.9       119                   88           128   71  114   \n",
       "2              0.9       110                   80           120   57  112   \n",
       "3              0.7       158                  249           366   46   91   \n",
       "4              0.1       109                  100           200   47   92   \n",
       "\n",
       "   Cholesterol  serum creatinine  hemoglobin  relaxation  Urine protein  \\\n",
       "0          239               1.0        19.8          78              1   \n",
       "1          211               1.1        15.9          79              1   \n",
       "2          193               0.6        13.7          80              3   \n",
       "3          210               0.9        16.9          88              1   \n",
       "4          179               1.2        14.9          64              1   \n",
       "\n",
       "   hearing(left)  hearing(right)  dental caries  smoking  \n",
       "0              1               1              1        1  \n",
       "1              1               1              1        0  \n",
       "2              1               1              0        0  \n",
       "3              1               1              0        0  \n",
       "4              1               1              0        0  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "smoke_df.rename(columns={'Age': 'patient_age'}, inplace=True)\n",
    "smoke_df.head()"
   ]
  },
  {
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   },
   "source": [
    "## Chronic Kidney Disease Prediction and Diabetes Discovery based on Patient History"
   ]
  },
  {
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    "cell_id": "b3c17e6235e04304bef9459810eab283",
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    "deepnote_variable_name": "df_3",
    "execution_millis": 334,
    "execution_start": 1724013535020,
    "source_hash": null,
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       "      <td>5.900000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>58.0</td>\n",
       "      <td>80</td>\n",
       "      <td>1.025</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>131.000000</td>\n",
       "      <td>18.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>141.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>15.8</td>\n",
       "      <td>6800.0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.100000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>400 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Age (yrs)  Blood Pressure (mm/Hg)  Specific Gravity  Albumin  Sugar  \\\n",
       "0         48.0                      80             1.020      1.0      0   \n",
       "1          7.0                      50             1.020      4.0      0   \n",
       "2         62.0                      80             1.010      2.0      3   \n",
       "3         48.0                      70             1.005      4.0      0   \n",
       "4         51.0                      80             1.010      2.0      0   \n",
       "..         ...                     ...               ...      ...    ...   \n",
       "395       55.0                      80             1.020      0.0      0   \n",
       "396       42.0                      70             1.025      0.0      0   \n",
       "397       12.0                      80             1.020      0.0      0   \n",
       "398       17.0                      60             1.025      0.0      0   \n",
       "399       58.0                      80             1.025      0.0      0   \n",
       "\n",
       "     Blood Glucose Random (mgs/dL)  Blood Urea (mgs/dL)  \\\n",
       "0                       121.000000                 36.0   \n",
       "1                        90.316581                 18.0   \n",
       "2                       423.000000                 53.0   \n",
       "3                       117.000000                 56.0   \n",
       "4                       106.000000                 26.0   \n",
       "..                             ...                  ...   \n",
       "395                     140.000000                 49.0   \n",
       "396                      75.000000                 31.0   \n",
       "397                     100.000000                 26.0   \n",
       "398                     114.000000                 50.0   \n",
       "399                     131.000000                 18.0   \n",
       "\n",
       "     Serum Creatinine (mgs/dL)  Sodium (mEq/L)  Potassium (mEq/L)  \\\n",
       "0                          1.2           136.0                4.7   \n",
       "1                          0.8           140.0                4.0   \n",
       "2                          1.8           135.0                4.8   \n",
       "3                          3.8           111.0                2.5   \n",
       "4                          1.4           140.0                4.0   \n",
       "..                         ...             ...                ...   \n",
       "395                        0.5           150.0                4.9   \n",
       "396                        1.2           141.0                3.5   \n",
       "397                        0.6           137.0                4.4   \n",
       "398                        1.0           135.0                4.9   \n",
       "399                        1.1           141.0                3.5   \n",
       "\n",
       "     Hemoglobin (gms)  White Blood Cells (cells/cmm)  Appetite: poor  \\\n",
       "0                15.4                         7800.0               0   \n",
       "1                11.3                         6000.0               0   \n",
       "2                 9.6                         7500.0               1   \n",
       "3                11.2                         6700.0               1   \n",
       "4                11.6                         7300.0               0   \n",
       "..                ...                            ...             ...   \n",
       "395              15.7                         6700.0               0   \n",
       "396              16.5                         7800.0               0   \n",
       "397              15.8                         6600.0               0   \n",
       "398              14.2                         7200.0               0   \n",
       "399              15.8                         6800.0               0   \n",
       "\n",
       "     Red Blood Cells (millions/cmm)  Hypertension: yes  Bacteria: present  \\\n",
       "0                          5.200000                  1                  0   \n",
       "1                          4.721717                  0                  0   \n",
       "2                          3.400000                  0                  0   \n",
       "3                          3.900000                  1                  0   \n",
       "4                          4.600000                  0                  0   \n",
       "..                              ...                ...                ...   \n",
       "395                        4.900000                  0                  0   \n",
       "396                        6.200000                  0                  0   \n",
       "397                        5.400000                  0                  0   \n",
       "398                        5.900000                  0                  0   \n",
       "399                        6.100000                  0                  0   \n",
       "\n",
       "     Diabetes Mellitus: yes  Coronary Artery Disease: yes  Anemia: yes  \\\n",
       "0                         1                             0            0   \n",
       "1                         0                             0            0   \n",
       "2                         1                             0            1   \n",
       "3                         0                             0            1   \n",
       "4                         0                             0            0   \n",
       "..                      ...                           ...          ...   \n",
       "395                       0                             0            0   \n",
       "396                       0                             0            0   \n",
       "397                       0                             0            0   \n",
       "398                       0                             0            0   \n",
       "399                       0                             0            0   \n",
       "\n",
       "     Chronic Kidney Disease: yes  \n",
       "0                              1  \n",
       "1                              1  \n",
       "2                              1  \n",
       "3                              1  \n",
       "4                              1  \n",
       "..                           ...  \n",
       "395                            0  \n",
       "396                            0  \n",
       "397                            0  \n",
       "398                            0  \n",
       "399                            0  \n",
       "\n",
       "[400 rows x 20 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_3 = _deepnote_execute_sql('SELECT *\\nFROM \\'ChronicKidneyDisease.csv\\'', 'SQL_DEEPNOTE_DATAFRAME_SQL', audit_sql_comment='', sql_cache_mode='cache_disabled')\n",
    "df_3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cell_id": "d73464ebafa24feb8f78ec3cc1c6275a",
    "deepnote_cell_type": "code",
    "deepnote_to_be_reexecuted": false,
    "execution_millis": 207,
    "execution_start": 1724013600448,
    "source_hash": null
   },
   "outputs": [
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       "      <td>7.0</td>\n",
       "      <td>50</td>\n",
       "      <td>1.020</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>90.316581</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>140.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>11.3</td>\n",
       "      <td>6000.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>4.721717</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>62.0</td>\n",
       "      <td>80</td>\n",
       "      <td>1.010</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>423.000000</td>\n",
       "      <td>53.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>135.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>9.6</td>\n",
       "      <td>7500.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>3.400000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>48.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1.005</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>117.000000</td>\n",
       "      <td>56.0</td>\n",
       "      <td>3.8</td>\n",
       "      <td>111.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>11.2</td>\n",
       "      <td>6700.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>3.900000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>51.0</td>\n",
       "      <td>80</td>\n",
       "      <td>1.010</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>106.000000</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>140.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>11.6</td>\n",
       "      <td>7300.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>4.600000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>60.0</td>\n",
       "      <td>90</td>\n",
       "      <td>1.015</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>74.000000</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>142.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>12.2</td>\n",
       "      <td>7800.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>4.400000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>68.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1.010</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>54.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>12.4</td>\n",
       "      <td>8200.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>4.791532</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>24.0</td>\n",
       "      <td>60</td>\n",
       "      <td>1.015</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4</td>\n",
       "      <td>410.000000</td>\n",
       "      <td>31.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>138.0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>12.4</td>\n",
       "      <td>6900.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>52.0</td>\n",
       "      <td>100</td>\n",
       "      <td>1.015</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>138.000000</td>\n",
       "      <td>60.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>135.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.8</td>\n",
       "      <td>9600.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>53.0</td>\n",
       "      <td>90</td>\n",
       "      <td>1.020</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>107.0</td>\n",
       "      <td>7.2</td>\n",
       "      <td>114.0</td>\n",
       "      <td>3.7</td>\n",
       "      <td>9.5</td>\n",
       "      <td>12100.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>3.700000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>50.0</td>\n",
       "      <td>60</td>\n",
       "      <td>1.010</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4</td>\n",
       "      <td>490.000000</td>\n",
       "      <td>55.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>9.4</td>\n",
       "      <td>9139.816958</td>\n",
       "      <td>0</td>\n",
       "      <td>3.900000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>63.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1.010</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>380.000000</td>\n",
       "      <td>60.0</td>\n",
       "      <td>2.7</td>\n",
       "      <td>131.0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>10.8</td>\n",
       "      <td>4500.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>3.800000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>68.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1.015</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>208.000000</td>\n",
       "      <td>72.0</td>\n",
       "      <td>2.1</td>\n",
       "      <td>138.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>9.7</td>\n",
       "      <td>12200.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>3.400000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>68.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1.015</td>\n",
       "      <td>1.318621</td>\n",
       "      <td>0</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>86.0</td>\n",
       "      <td>4.6</td>\n",
       "      <td>135.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>9.8</td>\n",
       "      <td>8939.116829</td>\n",
       "      <td>1</td>\n",
       "      <td>3.400000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>68.0</td>\n",
       "      <td>80</td>\n",
       "      <td>1.010</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>157.000000</td>\n",
       "      <td>90.0</td>\n",
       "      <td>4.1</td>\n",
       "      <td>130.0</td>\n",
       "      <td>6.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>11000.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>2.600000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>40.0</td>\n",
       "      <td>80</td>\n",
       "      <td>1.015</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>76.000000</td>\n",
       "      <td>162.0</td>\n",
       "      <td>9.6</td>\n",
       "      <td>141.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>7.6</td>\n",
       "      <td>3800.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>47.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1.015</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>46.0</td>\n",
       "      <td>2.2</td>\n",
       "      <td>138.0</td>\n",
       "      <td>4.1</td>\n",
       "      <td>12.6</td>\n",
       "      <td>8600.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>4.666067</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>47.0</td>\n",
       "      <td>80</td>\n",
       "      <td>1.015</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>114.000000</td>\n",
       "      <td>87.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>139.0</td>\n",
       "      <td>3.7</td>\n",
       "      <td>12.1</td>\n",
       "      <td>8600.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>4.900000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>60.0</td>\n",
       "      <td>100</td>\n",
       "      <td>1.025</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>263.000000</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>135.0</td>\n",
       "      <td>4.3</td>\n",
       "      <td>12.7</td>\n",
       "      <td>11400.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>4.300000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>62.0</td>\n",
       "      <td>60</td>\n",
       "      <td>1.015</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>31.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>135.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.3</td>\n",
       "      <td>5300.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>3.700000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Age (yrs)  Blood Pressure (mm/Hg)  Specific Gravity   Albumin  Sugar  \\\n",
       "0        48.0                      80             1.020  1.000000      0   \n",
       "1         7.0                      50             1.020  4.000000      0   \n",
       "2        62.0                      80             1.010  2.000000      3   \n",
       "3        48.0                      70             1.005  4.000000      0   \n",
       "4        51.0                      80             1.010  2.000000      0   \n",
       "5        60.0                      90             1.015  3.000000      0   \n",
       "6        68.0                      70             1.010  0.000000      0   \n",
       "7        24.0                      60             1.015  2.000000      4   \n",
       "8        52.0                     100             1.015  3.000000      0   \n",
       "9        53.0                      90             1.020  2.000000      0   \n",
       "10       50.0                      60             1.010  2.000000      4   \n",
       "11       63.0                      70             1.010  3.000000      0   \n",
       "12       68.0                      70             1.015  3.000000      1   \n",
       "13       68.0                      70             1.015  1.318621      0   \n",
       "14       68.0                      80             1.010  3.000000      2   \n",
       "15       40.0                      80             1.015  3.000000      0   \n",
       "16       47.0                      70             1.015  2.000000      0   \n",
       "17       47.0                      80             1.015  0.000000      0   \n",
       "18       60.0                     100             1.025  0.000000      3   \n",
       "19       62.0                      60             1.015  1.000000      0   \n",
       "\n",
       "    Blood Glucose Random (mgs/dL)  Blood Urea (mgs/dL)  \\\n",
       "0                      121.000000                 36.0   \n",
       "1                       90.316581                 18.0   \n",
       "2                      423.000000                 53.0   \n",
       "3                      117.000000                 56.0   \n",
       "4                      106.000000                 26.0   \n",
       "5                       74.000000                 25.0   \n",
       "6                      100.000000                 54.0   \n",
       "7                      410.000000                 31.0   \n",
       "8                      138.000000                 60.0   \n",
       "9                       70.000000                107.0   \n",
       "10                     490.000000                 55.0   \n",
       "11                     380.000000                 60.0   \n",
       "12                     208.000000                 72.0   \n",
       "13                      98.000000                 86.0   \n",
       "14                     157.000000                 90.0   \n",
       "15                      76.000000                162.0   \n",
       "16                      99.000000                 46.0   \n",
       "17                     114.000000                 87.0   \n",
       "18                     263.000000                 27.0   \n",
       "19                     100.000000                 31.0   \n",
       "\n",
       "    Serum Creatinine (mgs/dL)  Sodium (mEq/L)  Potassium (mEq/L)  \\\n",
       "0                         1.2           136.0                4.7   \n",
       "1                         0.8           140.0                4.0   \n",
       "2                         1.8           135.0                4.8   \n",
       "3                         3.8           111.0                2.5   \n",
       "4                         1.4           140.0                4.0   \n",
       "5                         1.1           142.0                3.2   \n",
       "6                        24.0           104.0                4.0   \n",
       "7                         1.1           138.0                4.2   \n",
       "8                         1.9           135.0                5.0   \n",
       "9                         7.2           114.0                3.7   \n",
       "10                        4.0           135.0                5.0   \n",
       "11                        2.7           131.0                4.2   \n",
       "12                        2.1           138.0                5.8   \n",
       "13                        4.6           135.0                3.4   \n",
       "14                        4.1           130.0                6.4   \n",
       "15                        9.6           141.0                4.9   \n",
       "16                        2.2           138.0                4.1   \n",
       "17                        5.2           139.0                3.7   \n",
       "18                        1.3           135.0                4.3   \n",
       "19                        1.6           135.0                5.0   \n",
       "\n",
       "    Hemoglobin (gms)  White Blood Cells (cells/cmm)  Appetite: poor  \\\n",
       "0               15.4                    7800.000000               0   \n",
       "1               11.3                    6000.000000               0   \n",
       "2                9.6                    7500.000000               1   \n",
       "3               11.2                    6700.000000               1   \n",
       "4               11.6                    7300.000000               0   \n",
       "5               12.2                    7800.000000               0   \n",
       "6               12.4                    8200.000000               0   \n",
       "7               12.4                    6900.000000               0   \n",
       "8               10.8                    9600.000000               0   \n",
       "9                9.5                   12100.000000               1   \n",
       "10               9.4                    9139.816958               0   \n",
       "11              10.8                    4500.000000               1   \n",
       "12               9.7                   12200.000000               1   \n",
       "13               9.8                    8939.116829               1   \n",
       "14               5.6                   11000.000000               1   \n",
       "15               7.6                    3800.000000               0   \n",
       "16              12.6                    8600.000000               0   \n",
       "17              12.1                    8600.000000               1   \n",
       "18              12.7                   11400.000000               0   \n",
       "19              10.3                    5300.000000               0   \n",
       "\n",
       "    Red Blood Cells (millions/cmm)  Hypertension: yes  Bacteria: present  \\\n",
       "0                         5.200000                  1                  0   \n",
       "1                         4.721717                  0                  0   \n",
       "2                         3.400000                  0                  0   \n",
       "3                         3.900000                  1                  0   \n",
       "4                         4.600000                  0                  0   \n",
       "5                         4.400000                  1                  0   \n",
       "6                         4.791532                  0                  0   \n",
       "7                         5.000000                  0                  0   \n",
       "8                         4.000000                  1                  0   \n",
       "9                         3.700000                  1                  0   \n",
       "10                        3.900000                  1                  0   \n",
       "11                        3.800000                  1                  0   \n",
       "12                        3.400000                  1                  0   \n",
       "13                        3.400000                  1                  0   \n",
       "14                        2.600000                  1                  1   \n",
       "15                        2.800000                  1                  0   \n",
       "16                        4.666067                  0                  0   \n",
       "17                        4.900000                  1                  0   \n",
       "18                        4.300000                  1                  0   \n",
       "19                        3.700000                  1                  0   \n",
       "\n",
       "    Diabetes Mellitus: yes  Coronary Artery Disease: yes  Anemia: yes  \\\n",
       "0                        1                             0            0   \n",
       "1                        0                             0            0   \n",
       "2                        1                             0            1   \n",
       "3                        0                             0            1   \n",
       "4                        0                             0            0   \n",
       "5                        1                             0            0   \n",
       "6                        0                             0            0   \n",
       "7                        1                             0            0   \n",
       "8                        1                             0            1   \n",
       "9                        1                             0            1   \n",
       "10                       1                             0            1   \n",
       "11                       1                             0            0   \n",
       "12                       1                             1            0   \n",
       "13                       1                             1            0   \n",
       "14                       1                             1            0   \n",
       "15                       0                             0            1   \n",
       "16                       0                             0            0   \n",
       "17                       0                             0            0   \n",
       "18                       1                             1            0   \n",
       "19                       0                             1            0   \n",
       "\n",
       "    Chronic Kidney Disease: yes  \n",
       "0                             1  \n",
       "1                             1  \n",
       "2                             1  \n",
       "3                             1  \n",
       "4                             1  \n",
       "5                             1  \n",
       "6                             1  \n",
       "7                             1  \n",
       "8                             1  \n",
       "9                             1  \n",
       "10                            1  \n",
       "11                            1  \n",
       "12                            1  \n",
       "13                            1  \n",
       "14                            1  \n",
       "15                            1  \n",
       "16                            1  \n",
       "17                            1  \n",
       "18                            1  \n",
       "19                            1  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kidney_df = pd.read_csv('ChronicKidneyDisease.csv')\n",
    "kidney_df.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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    "deepnote_to_be_reexecuted": false,
    "execution_millis": 64,
    "execution_start": 1724013621851,
    "source_hash": null
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       "      <td>0</td>\n",
       "      <td>106.000000</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>140.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>11.6</td>\n",
       "      <td>7300.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.600000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>55.0</td>\n",
       "      <td>80</td>\n",
       "      <td>1.020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>140.000000</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>150.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>15.7</td>\n",
       "      <td>6700.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.900000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>42.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1.025</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>31.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>141.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>16.5</td>\n",
       "      <td>7800.0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.200000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>12.0</td>\n",
       "      <td>80</td>\n",
       "      <td>1.020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>137.0</td>\n",
       "      <td>4.4</td>\n",
       "      <td>15.8</td>\n",
       "      <td>6600.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5.400000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>17.0</td>\n",
       "      <td>60</td>\n",
       "      <td>1.025</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>114.000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>14.2</td>\n",
       "      <td>7200.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5.900000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>58.0</td>\n",
       "      <td>80</td>\n",
       "      <td>1.025</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>131.000000</td>\n",
       "      <td>18.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>141.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>15.8</td>\n",
       "      <td>6800.0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.100000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>400 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Age (yrs)  Blood Pressure (mm/Hg)  Specific Gravity  Albumin  Sugar  \\\n",
       "0         48.0                      80             1.020      1.0      0   \n",
       "1          7.0                      50             1.020      4.0      0   \n",
       "2         62.0                      80             1.010      2.0      3   \n",
       "3         48.0                      70             1.005      4.0      0   \n",
       "4         51.0                      80             1.010      2.0      0   \n",
       "..         ...                     ...               ...      ...    ...   \n",
       "395       55.0                      80             1.020      0.0      0   \n",
       "396       42.0                      70             1.025      0.0      0   \n",
       "397       12.0                      80             1.020      0.0      0   \n",
       "398       17.0                      60             1.025      0.0      0   \n",
       "399       58.0                      80             1.025      0.0      0   \n",
       "\n",
       "     Blood Glucose Random (mgs/dL)  Blood Urea (mgs/dL)  \\\n",
       "0                       121.000000                 36.0   \n",
       "1                        90.316581                 18.0   \n",
       "2                       423.000000                 53.0   \n",
       "3                       117.000000                 56.0   \n",
       "4                       106.000000                 26.0   \n",
       "..                             ...                  ...   \n",
       "395                     140.000000                 49.0   \n",
       "396                      75.000000                 31.0   \n",
       "397                     100.000000                 26.0   \n",
       "398                     114.000000                 50.0   \n",
       "399                     131.000000                 18.0   \n",
       "\n",
       "     Serum Creatinine (mgs/dL)  Sodium (mEq/L)  Potassium (mEq/L)  \\\n",
       "0                          1.2           136.0                4.7   \n",
       "1                          0.8           140.0                4.0   \n",
       "2                          1.8           135.0                4.8   \n",
       "3                          3.8           111.0                2.5   \n",
       "4                          1.4           140.0                4.0   \n",
       "..                         ...             ...                ...   \n",
       "395                        0.5           150.0                4.9   \n",
       "396                        1.2           141.0                3.5   \n",
       "397                        0.6           137.0                4.4   \n",
       "398                        1.0           135.0                4.9   \n",
       "399                        1.1           141.0                3.5   \n",
       "\n",
       "     Hemoglobin (gms)  White Blood Cells (cells/cmm)  Appetite: poor  \\\n",
       "0                15.4                         7800.0               0   \n",
       "1                11.3                         6000.0               0   \n",
       "2                 9.6                         7500.0               1   \n",
       "3                11.2                         6700.0               1   \n",
       "4                11.6                         7300.0               0   \n",
       "..                ...                            ...             ...   \n",
       "395              15.7                         6700.0               0   \n",
       "396              16.5                         7800.0               0   \n",
       "397              15.8                         6600.0               0   \n",
       "398              14.2                         7200.0               0   \n",
       "399              15.8                         6800.0               0   \n",
       "\n",
       "     Red Blood Cells (millions/cmm)  Hypertension: yes  Bacteria: present  \\\n",
       "0                          5.200000                  1                  0   \n",
       "1                          4.721717                  0                  0   \n",
       "2                          3.400000                  0                  0   \n",
       "3                          3.900000                  1                  0   \n",
       "4                          4.600000                  0                  0   \n",
       "..                              ...                ...                ...   \n",
       "395                        4.900000                  0                  0   \n",
       "396                        6.200000                  0                  0   \n",
       "397                        5.400000                  0                  0   \n",
       "398                        5.900000                  0                  0   \n",
       "399                        6.100000                  0                  0   \n",
       "\n",
       "     Diabetes Mellitus: yes  Coronary Artery Disease: yes  Anemia: yes  \\\n",
       "0                         1                             0            0   \n",
       "1                         0                             0            0   \n",
       "2                         1                             0            1   \n",
       "3                         0                             0            1   \n",
       "4                         0                             0            0   \n",
       "..                      ...                           ...          ...   \n",
       "395                       0                             0            0   \n",
       "396                       0                             0            0   \n",
       "397                       0                             0            0   \n",
       "398                       0                             0            0   \n",
       "399                       0                             0            0   \n",
       "\n",
       "     Chronic Kidney Disease: yes  \n",
       "0                              1  \n",
       "1                              1  \n",
       "2                              1  \n",
       "3                              1  \n",
       "4                              1  \n",
       "..                           ...  \n",
       "395                            0  \n",
       "396                            0  \n",
       "397                            0  \n",
       "398                            0  \n",
       "399                            0  \n",
       "\n",
       "[400 rows x 20 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kidney_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cell_id": "31ad2f6764fd410f8a92927b668a2903",
    "deepnote_cell_type": "code",
    "deepnote_to_be_reexecuted": false,
    "execution_millis": 27,
    "execution_start": 1724013660049,
    "source_hash": null
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 400 entries, 0 to 399\n",
      "Data columns (total 20 columns):\n",
      " #   Column                          Non-Null Count  Dtype  \n",
      "---  ------                          --------------  -----  \n",
      " 0   Age (yrs)                       400 non-null    float64\n",
      " 1   Blood Pressure (mm/Hg)          400 non-null    int64  \n",
      " 2   Specific Gravity                400 non-null    float64\n",
      " 3   Albumin                         400 non-null    float64\n",
      " 4   Sugar                           400 non-null    int64  \n",
      " 5   Blood Glucose Random (mgs/dL)   400 non-null    float64\n",
      " 6   Blood Urea (mgs/dL)             400 non-null    float64\n",
      " 7   Serum Creatinine (mgs/dL)       400 non-null    float64\n",
      " 8   Sodium (mEq/L)                  400 non-null    float64\n",
      " 9   Potassium (mEq/L)               400 non-null    float64\n",
      " 10  Hemoglobin (gms)                400 non-null    float64\n",
      " 11  White Blood Cells (cells/cmm)   400 non-null    float64\n",
      " 12  Appetite: poor                  400 non-null    int64  \n",
      " 13  Red Blood Cells (millions/cmm)  400 non-null    float64\n",
      " 14  Hypertension: yes               400 non-null    int64  \n",
      " 15  Bacteria: present               400 non-null    int64  \n",
      " 16  Diabetes Mellitus: yes          400 non-null    int64  \n",
      " 17  Coronary Artery Disease: yes    400 non-null    int64  \n",
      " 18  Anemia: yes                     400 non-null    int64  \n",
      " 19  Chronic Kidney Disease: yes     400 non-null    int64  \n",
      "dtypes: float64(11), int64(9)\n",
      "memory usage: 62.6 KB\n"
     ]
    }
   ],
   "source": [
    "kidney_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cell_id": "87d0a0c6b80c4fc1910944f05e3b8b57",
    "deepnote_cell_type": "code",
    "deepnote_to_be_reexecuted": false,
    "execution_millis": 87,
    "execution_start": 1724013735672,
    "source_hash": null
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   "outputs": [
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       "     Age (yrs)  Blood Pressure (mm/Hg)  Specific Gravity  Sugar  \\\n",
       "0         48.0                      80             1.020      0   \n",
       "1          7.0                      50             1.020      0   \n",
       "2         62.0                      80             1.010      3   \n",
       "3         48.0                      70             1.005      0   \n",
       "4         51.0                      80             1.010      0   \n",
       "..         ...                     ...               ...    ...   \n",
       "395       55.0                      80             1.020      0   \n",
       "396       42.0                      70             1.025      0   \n",
       "397       12.0                      80             1.020      0   \n",
       "398       17.0                      60             1.025      0   \n",
       "399       58.0                      80             1.025      0   \n",
       "\n",
       "     Blood Glucose Random (mgs/dL)  Blood Urea (mgs/dL)  \\\n",
       "0                       121.000000                 36.0   \n",
       "1                        90.316581                 18.0   \n",
       "2                       423.000000                 53.0   \n",
       "3                       117.000000                 56.0   \n",
       "4                       106.000000                 26.0   \n",
       "..                             ...                  ...   \n",
       "395                     140.000000                 49.0   \n",
       "396                      75.000000                 31.0   \n",
       "397                     100.000000                 26.0   \n",
       "398                     114.000000                 50.0   \n",
       "399                     131.000000                 18.0   \n",
       "\n",
       "     Serum Creatinine (mgs/dL)  Sodium (mEq/L)  Potassium (mEq/L)  \\\n",
       "0                          1.2           136.0                4.7   \n",
       "1                          0.8           140.0                4.0   \n",
       "2                          1.8           135.0                4.8   \n",
       "3                          3.8           111.0                2.5   \n",
       "4                          1.4           140.0                4.0   \n",
       "..                         ...             ...                ...   \n",
       "395                        0.5           150.0                4.9   \n",
       "396                        1.2           141.0                3.5   \n",
       "397                        0.6           137.0                4.4   \n",
       "398                        1.0           135.0                4.9   \n",
       "399                        1.1           141.0                3.5   \n",
       "\n",
       "     Hemoglobin (gms)  White Blood Cells (cells/cmm)  Appetite: poor  \\\n",
       "0                15.4                         7800.0               0   \n",
       "1                11.3                         6000.0               0   \n",
       "2                 9.6                         7500.0               1   \n",
       "3                11.2                         6700.0               1   \n",
       "4                11.6                         7300.0               0   \n",
       "..                ...                            ...             ...   \n",
       "395              15.7                         6700.0               0   \n",
       "396              16.5                         7800.0               0   \n",
       "397              15.8                         6600.0               0   \n",
       "398              14.2                         7200.0               0   \n",
       "399              15.8                         6800.0               0   \n",
       "\n",
       "     Red Blood Cells (millions/cmm)  Hypertension: yes  Bacteria: present  \\\n",
       "0                          5.200000                  1                  0   \n",
       "1                          4.721717                  0                  0   \n",
       "2                          3.400000                  0                  0   \n",
       "3                          3.900000                  1                  0   \n",
       "4                          4.600000                  0                  0   \n",
       "..                              ...                ...                ...   \n",
       "395                        4.900000                  0                  0   \n",
       "396                        6.200000                  0                  0   \n",
       "397                        5.400000                  0                  0   \n",
       "398                        5.900000                  0                  0   \n",
       "399                        6.100000                  0                  0   \n",
       "\n",
       "     Diabetes Mellitus: yes  Coronary Artery Disease: yes  Anemia: yes  \\\n",
       "0                         1                             0            0   \n",
       "1                         0                             0            0   \n",
       "2                         1                             0            1   \n",
       "3                         0                             0            1   \n",
       "4                         0                             0            0   \n",
       "..                      ...                           ...          ...   \n",
       "395                       0                             0            0   \n",
       "396                       0                             0            0   \n",
       "397                       0                             0            0   \n",
       "398                       0                             0            0   \n",
       "399                       0                             0            0   \n",
       "\n",
       "     Chronic Kidney Disease: yes  \n",
       "0                              1  \n",
       "1                              1  \n",
       "2                              1  \n",
       "3                              1  \n",
       "4                              1  \n",
       "..                           ...  \n",
       "395                            0  \n",
       "396                            0  \n",
       "397                            0  \n",
       "398                            0  \n",
       "399                            0  \n",
       "\n",
       "[400 rows x 19 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kidney_df.drop(['Albumin'], axis=1, inplace=True)\n",
    "kidney_df"
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    "execution_start": 1724013808006,
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      "text/plain": [
       "     Age (yrs)  Blood Pressure (mm/Hg)  Specific Gravity  \\\n",
       "0         48.0                      80             1.020   \n",
       "1          7.0                      50             1.020   \n",
       "2         62.0                      80             1.010   \n",
       "3         48.0                      70             1.005   \n",
       "4         51.0                      80             1.010   \n",
       "..         ...                     ...               ...   \n",
       "395       55.0                      80             1.020   \n",
       "396       42.0                      70             1.025   \n",
       "397       12.0                      80             1.020   \n",
       "398       17.0                      60             1.025   \n",
       "399       58.0                      80             1.025   \n",
       "\n",
       "     Blood Glucose Random (mgs/dL)  Blood Urea (mgs/dL)  \\\n",
       "0                       121.000000                 36.0   \n",
       "1                        90.316581                 18.0   \n",
       "2                       423.000000                 53.0   \n",
       "3                       117.000000                 56.0   \n",
       "4                       106.000000                 26.0   \n",
       "..                             ...                  ...   \n",
       "395                     140.000000                 49.0   \n",
       "396                      75.000000                 31.0   \n",
       "397                     100.000000                 26.0   \n",
       "398                     114.000000                 50.0   \n",
       "399                     131.000000                 18.0   \n",
       "\n",
       "     Serum Creatinine (mgs/dL)  Sodium (mEq/L)  Potassium (mEq/L)  \\\n",
       "0                          1.2           136.0                4.7   \n",
       "1                          0.8           140.0                4.0   \n",
       "2                          1.8           135.0                4.8   \n",
       "3                          3.8           111.0                2.5   \n",
       "4                          1.4           140.0                4.0   \n",
       "..                         ...             ...                ...   \n",
       "395                        0.5           150.0                4.9   \n",
       "396                        1.2           141.0                3.5   \n",
       "397                        0.6           137.0                4.4   \n",
       "398                        1.0           135.0                4.9   \n",
       "399                        1.1           141.0                3.5   \n",
       "\n",
       "     Hemoglobin (gms)  White Blood Cells (cells/cmm)  Appetite: poor  \\\n",
       "0                15.4                         7800.0               0   \n",
       "1                11.3                         6000.0               0   \n",
       "2                 9.6                         7500.0               1   \n",
       "3                11.2                         6700.0               1   \n",
       "4                11.6                         7300.0               0   \n",
       "..                ...                            ...             ...   \n",
       "395              15.7                         6700.0               0   \n",
       "396              16.5                         7800.0               0   \n",
       "397              15.8                         6600.0               0   \n",
       "398              14.2                         7200.0               0   \n",
       "399              15.8                         6800.0               0   \n",
       "\n",
       "     Red Blood Cells (millions/cmm)  Hypertension: yes  Bacteria: present  \\\n",
       "0                          5.200000                  1                  0   \n",
       "1                          4.721717                  0                  0   \n",
       "2                          3.400000                  0                  0   \n",
       "3                          3.900000                  1                  0   \n",
       "4                          4.600000                  0                  0   \n",
       "..                              ...                ...                ...   \n",
       "395                        4.900000                  0                  0   \n",
       "396                        6.200000                  0                  0   \n",
       "397                        5.400000                  0                  0   \n",
       "398                        5.900000                  0                  0   \n",
       "399                        6.100000                  0                  0   \n",
       "\n",
       "     Diabetes Mellitus: yes  Coronary Artery Disease: yes  Anemia: yes  \\\n",
       "0                         1                             0            0   \n",
       "1                         0                             0            0   \n",
       "2                         1                             0            1   \n",
       "3                         0                             0            1   \n",
       "4                         0                             0            0   \n",
       "..                      ...                           ...          ...   \n",
       "395                       0                             0            0   \n",
       "396                       0                             0            0   \n",
       "397                       0                             0            0   \n",
       "398                       0                             0            0   \n",
       "399                       0                             0            0   \n",
       "\n",
       "     Chronic Kidney Disease: yes  \n",
       "0                              1  \n",
       "1                              1  \n",
       "2                              1  \n",
       "3                              1  \n",
       "4                              1  \n",
       "..                           ...  \n",
       "395                            0  \n",
       "396                            0  \n",
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       "     patient_age  Blood Pressure (mm/Hg)  Specific Gravity  \\\n",
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       "\n",
       "     Blood Glucose Random (mgs/dL)  Blood Urea (mgs/dL)  \\\n",
       "0                       121.000000                 36.0   \n",
       "1                        90.316581                 18.0   \n",
       "2                       423.000000                 53.0   \n",
       "3                       117.000000                 56.0   \n",
       "4                       106.000000                 26.0   \n",
       "..                             ...                  ...   \n",
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       "397                     100.000000                 26.0   \n",
       "398                     114.000000                 50.0   \n",
       "399                     131.000000                 18.0   \n",
       "\n",
       "     Serum Creatinine (mgs/dL)  Sodium (mEq/L)  Potassium (mEq/L)  \\\n",
       "0                          1.2           136.0                4.7   \n",
       "1                          0.8           140.0                4.0   \n",
       "2                          1.8           135.0                4.8   \n",
       "3                          3.8           111.0                2.5   \n",
       "4                          1.4           140.0                4.0   \n",
       "..                         ...             ...                ...   \n",
       "395                        0.5           150.0                4.9   \n",
       "396                        1.2           141.0                3.5   \n",
       "397                        0.6           137.0                4.4   \n",
       "398                        1.0           135.0                4.9   \n",
       "399                        1.1           141.0                3.5   \n",
       "\n",
       "     Hemoglobin (gms)  White Blood Cells (cells/cmm)  Appetite: poor  \\\n",
       "0                15.4                         7800.0               0   \n",
       "1                11.3                         6000.0               0   \n",
       "2                 9.6                         7500.0               1   \n",
       "3                11.2                         6700.0               1   \n",
       "4                11.6                         7300.0               0   \n",
       "..                ...                            ...             ...   \n",
       "395              15.7                         6700.0               0   \n",
       "396              16.5                         7800.0               0   \n",
       "397              15.8                         6600.0               0   \n",
       "398              14.2                         7200.0               0   \n",
       "399              15.8                         6800.0               0   \n",
       "\n",
       "     Red Blood Cells (millions/cmm)  Hypertension: yes  Bacteria: present  \\\n",
       "0                          5.200000                  1                  0   \n",
       "1                          4.721717                  0                  0   \n",
       "2                          3.400000                  0                  0   \n",
       "3                          3.900000                  1                  0   \n",
       "4                          4.600000                  0                  0   \n",
       "..                              ...                ...                ...   \n",
       "395                        4.900000                  0                  0   \n",
       "396                        6.200000                  0                  0   \n",
       "397                        5.400000                  0                  0   \n",
       "398                        5.900000                  0                  0   \n",
       "399                        6.100000                  0                  0   \n",
       "\n",
       "     Diabetes Mellitus: yes  Coronary Artery Disease: yes  Anemia: yes  \\\n",
       "0                         1                             0            0   \n",
       "1                         0                             0            0   \n",
       "2                         1                             0            1   \n",
       "3                         0                             0            1   \n",
       "4                         0                             0            0   \n",
       "..                      ...                           ...          ...   \n",
       "395                       0                             0            0   \n",
       "396                       0                             0            0   \n",
       "397                       0                             0            0   \n",
       "398                       0                             0            0   \n",
       "399                       0                             0            0   \n",
       "\n",
       "     Chronic Kidney Disease: yes  \n",
       "0                              1  \n",
       "1                              1  \n",
       "2                              1  \n",
       "3                              1  \n",
       "4                              1  \n",
       "..                           ...  \n",
       "395                            0  \n",
       "396                            0  \n",
       "397                            0  \n",
       "398                            0  \n",
       "399                            0  \n",
       "\n",
       "[400 rows x 18 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kidney_df.rename(columns={'Age (yrs)': 'patient_age'}, inplace=True)\n",
    "kidney_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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    "deepnote_to_be_reexecuted": false,
    "execution_millis": 28,
    "execution_start": 1724014184080,
    "source_hash": null
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>397</th>\n",
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       "    <tr>\n",
       "      <th>398</th>\n",
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       "    <tr>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>400 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     patient_age  patient_bp  Specific Gravity  Blood Glucose Random (mgs/dL)  \\\n",
       "0           48.0          80             1.020                     121.000000   \n",
       "1            7.0          50             1.020                      90.316581   \n",
       "2           62.0          80             1.010                     423.000000   \n",
       "3           48.0          70             1.005                     117.000000   \n",
       "4           51.0          80             1.010                     106.000000   \n",
       "..           ...         ...               ...                            ...   \n",
       "395         55.0          80             1.020                     140.000000   \n",
       "396         42.0          70             1.025                      75.000000   \n",
       "397         12.0          80             1.020                     100.000000   \n",
       "398         17.0          60             1.025                     114.000000   \n",
       "399         58.0          80             1.025                     131.000000   \n",
       "\n",
       "     Blood Urea (mgs/dL)  Serum Creatinine (mgs/dL)  Sodium (mEq/L)  \\\n",
       "0                   36.0                        1.2           136.0   \n",
       "1                   18.0                        0.8           140.0   \n",
       "2                   53.0                        1.8           135.0   \n",
       "3                   56.0                        3.8           111.0   \n",
       "4                   26.0                        1.4           140.0   \n",
       "..                   ...                        ...             ...   \n",
       "395                 49.0                        0.5           150.0   \n",
       "396                 31.0                        1.2           141.0   \n",
       "397                 26.0                        0.6           137.0   \n",
       "398                 50.0                        1.0           135.0   \n",
       "399                 18.0                        1.1           141.0   \n",
       "\n",
       "     Potassium (mEq/L)  Hemoglobin (gms)  White Blood Cells (cells/cmm)  \\\n",
       "0                  4.7              15.4                         7800.0   \n",
       "1                  4.0              11.3                         6000.0   \n",
       "2                  4.8               9.6                         7500.0   \n",
       "3                  2.5              11.2                         6700.0   \n",
       "4                  4.0              11.6                         7300.0   \n",
       "..                 ...               ...                            ...   \n",
       "395                4.9              15.7                         6700.0   \n",
       "396                3.5              16.5                         7800.0   \n",
       "397                4.4              15.8                         6600.0   \n",
       "398                4.9              14.2                         7200.0   \n",
       "399                3.5              15.8                         6800.0   \n",
       "\n",
       "     Appetite: poor  Red Blood Cells (millions/cmm)  Hypertension: yes  \\\n",
       "0                 0                        5.200000                  1   \n",
       "1                 0                        4.721717                  0   \n",
       "2                 1                        3.400000                  0   \n",
       "3                 1                        3.900000                  1   \n",
       "4                 0                        4.600000                  0   \n",
       "..              ...                             ...                ...   \n",
       "395               0                        4.900000                  0   \n",
       "396               0                        6.200000                  0   \n",
       "397               0                        5.400000                  0   \n",
       "398               0                        5.900000                  0   \n",
       "399               0                        6.100000                  0   \n",
       "\n",
       "     Bacteria: present  Diabetes Mellitus: yes  Coronary Artery Disease: yes  \\\n",
       "0                    0                       1                             0   \n",
       "1                    0                       0                             0   \n",
       "2                    0                       1                             0   \n",
       "3                    0                       0                             0   \n",
       "4                    0                       0                             0   \n",
       "..                 ...                     ...                           ...   \n",
       "395                  0                       0                             0   \n",
       "396                  0                       0                             0   \n",
       "397                  0                       0                             0   \n",
       "398                  0                       0                             0   \n",
       "399                  0                       0                             0   \n",
       "\n",
       "     Anemia: yes  Chronic Kidney Disease: yes  \n",
       "0              0                            1  \n",
       "1              0                            1  \n",
       "2              1                            1  \n",
       "3              1                            1  \n",
       "4              0                            1  \n",
       "..           ...                          ...  \n",
       "395            0                            0  \n",
       "396            0                            0  \n",
       "397            0                            0  \n",
       "398            0                            0  \n",
       "399            0                            0  \n",
       "\n",
       "[400 rows x 18 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kidney_df.rename(columns={'Blood Pressure (mm/Hg)':  'patient_bp'}, inplace=True)\n",
    "kidney_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cell_id": "1b6b70471a394dfcba870fad52a1ca0e",
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    "deepnote_to_be_reexecuted": false,
    "execution_millis": 95,
    "execution_start": 1724014297592,
    "source_hash": null
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   "outputs": [
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>51.0</td>\n",
       "      <td>80</td>\n",
       "      <td>1.010</td>\n",
       "      <td>106.000000</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>140.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>11.6</td>\n",
       "      <td>7300.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.600000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>55.0</td>\n",
       "      <td>80</td>\n",
       "      <td>1.020</td>\n",
       "      <td>140.000000</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>150.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>15.7</td>\n",
       "      <td>6700.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.900000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>42.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1.025</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>31.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>141.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>16.5</td>\n",
       "      <td>7800.0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>397</th>\n",
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       "      <td>1.020</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>137.0</td>\n",
       "      <td>4.4</td>\n",
       "      <td>15.8</td>\n",
       "      <td>6600.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5.400000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>398</th>\n",
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       "      <td>60</td>\n",
       "      <td>1.025</td>\n",
       "      <td>114.000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>14.2</td>\n",
       "      <td>7200.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5.900000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>58.0</td>\n",
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       "      <td>1.025</td>\n",
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       "      <td>18.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>141.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>15.8</td>\n",
       "      <td>6800.0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>400 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     patient_age  patient_bp  patient_sg  Blood Glucose Random (mgs/dL)  \\\n",
       "0           48.0          80       1.020                     121.000000   \n",
       "1            7.0          50       1.020                      90.316581   \n",
       "2           62.0          80       1.010                     423.000000   \n",
       "3           48.0          70       1.005                     117.000000   \n",
       "4           51.0          80       1.010                     106.000000   \n",
       "..           ...         ...         ...                            ...   \n",
       "395         55.0          80       1.020                     140.000000   \n",
       "396         42.0          70       1.025                      75.000000   \n",
       "397         12.0          80       1.020                     100.000000   \n",
       "398         17.0          60       1.025                     114.000000   \n",
       "399         58.0          80       1.025                     131.000000   \n",
       "\n",
       "     Blood Urea (mgs/dL)  Serum Creatinine (mgs/dL)  Sodium (mEq/L)  \\\n",
       "0                   36.0                        1.2           136.0   \n",
       "1                   18.0                        0.8           140.0   \n",
       "2                   53.0                        1.8           135.0   \n",
       "3                   56.0                        3.8           111.0   \n",
       "4                   26.0                        1.4           140.0   \n",
       "..                   ...                        ...             ...   \n",
       "395                 49.0                        0.5           150.0   \n",
       "396                 31.0                        1.2           141.0   \n",
       "397                 26.0                        0.6           137.0   \n",
       "398                 50.0                        1.0           135.0   \n",
       "399                 18.0                        1.1           141.0   \n",
       "\n",
       "     Potassium (mEq/L)  Hemoglobin (gms)  White Blood Cells (cells/cmm)  \\\n",
       "0                  4.7              15.4                         7800.0   \n",
       "1                  4.0              11.3                         6000.0   \n",
       "2                  4.8               9.6                         7500.0   \n",
       "3                  2.5              11.2                         6700.0   \n",
       "4                  4.0              11.6                         7300.0   \n",
       "..                 ...               ...                            ...   \n",
       "395                4.9              15.7                         6700.0   \n",
       "396                3.5              16.5                         7800.0   \n",
       "397                4.4              15.8                         6600.0   \n",
       "398                4.9              14.2                         7200.0   \n",
       "399                3.5              15.8                         6800.0   \n",
       "\n",
       "     Appetite: poor  Red Blood Cells (millions/cmm)  Hypertension: yes  \\\n",
       "0                 0                        5.200000                  1   \n",
       "1                 0                        4.721717                  0   \n",
       "2                 1                        3.400000                  0   \n",
       "3                 1                        3.900000                  1   \n",
       "4                 0                        4.600000                  0   \n",
       "..              ...                             ...                ...   \n",
       "395               0                        4.900000                  0   \n",
       "396               0                        6.200000                  0   \n",
       "397               0                        5.400000                  0   \n",
       "398               0                        5.900000                  0   \n",
       "399               0                        6.100000                  0   \n",
       "\n",
       "     Bacteria: present  Diabetes Mellitus: yes  Coronary Artery Disease: yes  \\\n",
       "0                    0                       1                             0   \n",
       "1                    0                       0                             0   \n",
       "2                    0                       1                             0   \n",
       "3                    0                       0                             0   \n",
       "4                    0                       0                             0   \n",
       "..                 ...                     ...                           ...   \n",
       "395                  0                       0                             0   \n",
       "396                  0                       0                             0   \n",
       "397                  0                       0                             0   \n",
       "398                  0                       0                             0   \n",
       "399                  0                       0                             0   \n",
       "\n",
       "     Anemia: yes  Chronic Kidney Disease: yes  \n",
       "0              0                            1  \n",
       "1              0                            1  \n",
       "2              1                            1  \n",
       "3              1                            1  \n",
       "4              0                            1  \n",
       "..           ...                          ...  \n",
       "395            0                            0  \n",
       "396            0                            0  \n",
       "397            0                            0  \n",
       "398            0                            0  \n",
       "399            0                            0  \n",
       "\n",
       "[400 rows x 18 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kidney_df.rename(columns={'Specific Gravity':  'patient_sg'}, inplace=True)\n",
    "kidney_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cell_id": "9a3e737603144516963dcc043f68b658",
    "deepnote_cell_type": "code",
    "deepnote_to_be_reexecuted": false,
    "execution_millis": 144,
    "execution_start": 1724014513480,
    "source_hash": null
   },
   "outputs": [
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       "      <td>4.7</td>\n",
       "      <td>15.4</td>\n",
       "      <td>7800.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5.200000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.0</td>\n",
       "      <td>50</td>\n",
       "      <td>1.020</td>\n",
       "      <td>90.316581</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>140.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>11.3</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.721717</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>62.0</td>\n",
       "      <td>80</td>\n",
       "      <td>1.010</td>\n",
       "      <td>423.000000</td>\n",
       "      <td>53.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>135.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>9.6</td>\n",
       "      <td>7500.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3.400000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>48.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1.005</td>\n",
       "      <td>117.000000</td>\n",
       "      <td>56.0</td>\n",
       "      <td>3.8</td>\n",
       "      <td>111.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>11.2</td>\n",
       "      <td>6700.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3.900000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>51.0</td>\n",
       "      <td>80</td>\n",
       "      <td>1.010</td>\n",
       "      <td>106.000000</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>140.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>11.6</td>\n",
       "      <td>7300.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.600000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>55.0</td>\n",
       "      <td>80</td>\n",
       "      <td>1.020</td>\n",
       "      <td>140.000000</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>150.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>15.7</td>\n",
       "      <td>6700.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.900000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>42.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1.025</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>31.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>141.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>16.5</td>\n",
       "      <td>7800.0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.200000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>12.0</td>\n",
       "      <td>80</td>\n",
       "      <td>1.020</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>137.0</td>\n",
       "      <td>4.4</td>\n",
       "      <td>15.8</td>\n",
       "      <td>6600.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5.400000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>17.0</td>\n",
       "      <td>60</td>\n",
       "      <td>1.025</td>\n",
       "      <td>114.000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>14.2</td>\n",
       "      <td>7200.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5.900000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>58.0</td>\n",
       "      <td>80</td>\n",
       "      <td>1.025</td>\n",
       "      <td>131.000000</td>\n",
       "      <td>18.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>141.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>15.8</td>\n",
       "      <td>6800.0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.100000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>400 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     patient_age  patient_bp  patient_sg  patient_blood_sugar  \\\n",
       "0           48.0          80       1.020           121.000000   \n",
       "1            7.0          50       1.020            90.316581   \n",
       "2           62.0          80       1.010           423.000000   \n",
       "3           48.0          70       1.005           117.000000   \n",
       "4           51.0          80       1.010           106.000000   \n",
       "..           ...         ...         ...                  ...   \n",
       "395         55.0          80       1.020           140.000000   \n",
       "396         42.0          70       1.025            75.000000   \n",
       "397         12.0          80       1.020           100.000000   \n",
       "398         17.0          60       1.025           114.000000   \n",
       "399         58.0          80       1.025           131.000000   \n",
       "\n",
       "     Blood Urea (mgs/dL)  Serum Creatinine (mgs/dL)  Sodium (mEq/L)  \\\n",
       "0                   36.0                        1.2           136.0   \n",
       "1                   18.0                        0.8           140.0   \n",
       "2                   53.0                        1.8           135.0   \n",
       "3                   56.0                        3.8           111.0   \n",
       "4                   26.0                        1.4           140.0   \n",
       "..                   ...                        ...             ...   \n",
       "395                 49.0                        0.5           150.0   \n",
       "396                 31.0                        1.2           141.0   \n",
       "397                 26.0                        0.6           137.0   \n",
       "398                 50.0                        1.0           135.0   \n",
       "399                 18.0                        1.1           141.0   \n",
       "\n",
       "     Potassium (mEq/L)  Hemoglobin (gms)  White Blood Cells (cells/cmm)  \\\n",
       "0                  4.7              15.4                         7800.0   \n",
       "1                  4.0              11.3                         6000.0   \n",
       "2                  4.8               9.6                         7500.0   \n",
       "3                  2.5              11.2                         6700.0   \n",
       "4                  4.0              11.6                         7300.0   \n",
       "..                 ...               ...                            ...   \n",
       "395                4.9              15.7                         6700.0   \n",
       "396                3.5              16.5                         7800.0   \n",
       "397                4.4              15.8                         6600.0   \n",
       "398                4.9              14.2                         7200.0   \n",
       "399                3.5              15.8                         6800.0   \n",
       "\n",
       "     Appetite: poor  Red Blood Cells (millions/cmm)  Hypertension: yes  \\\n",
       "0                 0                        5.200000                  1   \n",
       "1                 0                        4.721717                  0   \n",
       "2                 1                        3.400000                  0   \n",
       "3                 1                        3.900000                  1   \n",
       "4                 0                        4.600000                  0   \n",
       "..              ...                             ...                ...   \n",
       "395               0                        4.900000                  0   \n",
       "396               0                        6.200000                  0   \n",
       "397               0                        5.400000                  0   \n",
       "398               0                        5.900000                  0   \n",
       "399               0                        6.100000                  0   \n",
       "\n",
       "     Bacteria: present  Diabetes Mellitus: yes  Coronary Artery Disease: yes  \\\n",
       "0                    0                       1                             0   \n",
       "1                    0                       0                             0   \n",
       "2                    0                       1                             0   \n",
       "3                    0                       0                             0   \n",
       "4                    0                       0                             0   \n",
       "..                 ...                     ...                           ...   \n",
       "395                  0                       0                             0   \n",
       "396                  0                       0                             0   \n",
       "397                  0                       0                             0   \n",
       "398                  0                       0                             0   \n",
       "399                  0                       0                             0   \n",
       "\n",
       "     Anemia: yes  Chronic Kidney Disease: yes  \n",
       "0              0                            1  \n",
       "1              0                            1  \n",
       "2              1                            1  \n",
       "3              1                            1  \n",
       "4              0                            1  \n",
       "..           ...                          ...  \n",
       "395            0                            0  \n",
       "396            0                            0  \n",
       "397            0                            0  \n",
       "398            0                            0  \n",
       "399            0                            0  \n",
       "\n",
       "[400 rows x 18 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kidney_df.rename(columns={'Blood Glucose Random (mgs/dL)':  'patient_blood_sugar'}, inplace=True)\n",
    "kidney_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cell_id": "cf9b0af285724fc0a4a18fb6c5a665eb",
    "deepnote_cell_type": "code",
    "deepnote_to_be_reexecuted": false,
    "execution_millis": 83,
    "execution_start": 1724014790276,
    "source_hash": null
   },
   "outputs": [
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      "text/plain": [
       "     patient_age  patient_bp  patient_sg  patient_blood_sugar  patient_urea  \\\n",
       "0           48.0          80       1.020           121.000000          36.0   \n",
       "1            7.0          50       1.020            90.316581          18.0   \n",
       "2           62.0          80       1.010           423.000000          53.0   \n",
       "3           48.0          70       1.005           117.000000          56.0   \n",
       "4           51.0          80       1.010           106.000000          26.0   \n",
       "..           ...         ...         ...                  ...           ...   \n",
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       "398         17.0          60       1.025           114.000000          50.0   \n",
       "399         58.0          80       1.025           131.000000          18.0   \n",
       "\n",
       "     Serum Creatinine (mgs/dL)  Sodium (mEq/L)  Potassium (mEq/L)  \\\n",
       "0                          1.2           136.0                4.7   \n",
       "1                          0.8           140.0                4.0   \n",
       "2                          1.8           135.0                4.8   \n",
       "3                          3.8           111.0                2.5   \n",
       "4                          1.4           140.0                4.0   \n",
       "..                         ...             ...                ...   \n",
       "395                        0.5           150.0                4.9   \n",
       "396                        1.2           141.0                3.5   \n",
       "397                        0.6           137.0                4.4   \n",
       "398                        1.0           135.0                4.9   \n",
       "399                        1.1           141.0                3.5   \n",
       "\n",
       "     Hemoglobin (gms)  White Blood Cells (cells/cmm)  Appetite: poor  \\\n",
       "0                15.4                         7800.0               0   \n",
       "1                11.3                         6000.0               0   \n",
       "2                 9.6                         7500.0               1   \n",
       "3                11.2                         6700.0               1   \n",
       "4                11.6                         7300.0               0   \n",
       "..                ...                            ...             ...   \n",
       "395              15.7                         6700.0               0   \n",
       "396              16.5                         7800.0               0   \n",
       "397              15.8                         6600.0               0   \n",
       "398              14.2                         7200.0               0   \n",
       "399              15.8                         6800.0               0   \n",
       "\n",
       "     Red Blood Cells (millions/cmm)  Hypertension: yes  Bacteria: present  \\\n",
       "0                          5.200000                  1                  0   \n",
       "1                          4.721717                  0                  0   \n",
       "2                          3.400000                  0                  0   \n",
       "3                          3.900000                  1                  0   \n",
       "4                          4.600000                  0                  0   \n",
       "..                              ...                ...                ...   \n",
       "395                        4.900000                  0                  0   \n",
       "396                        6.200000                  0                  0   \n",
       "397                        5.400000                  0                  0   \n",
       "398                        5.900000                  0                  0   \n",
       "399                        6.100000                  0                  0   \n",
       "\n",
       "     Diabetes Mellitus: yes  Coronary Artery Disease: yes  Anemia: yes  \\\n",
       "0                         1                             0            0   \n",
       "1                         0                             0            0   \n",
       "2                         1                             0            1   \n",
       "3                         0                             0            1   \n",
       "4                         0                             0            0   \n",
       "..                      ...                           ...          ...   \n",
       "395                       0                             0            0   \n",
       "396                       0                             0            0   \n",
       "397                       0                             0            0   \n",
       "398                       0                             0            0   \n",
       "399                       0                             0            0   \n",
       "\n",
       "     Chronic Kidney Disease: yes  \n",
       "0                              1  \n",
       "1                              1  \n",
       "2                              1  \n",
       "3                              1  \n",
       "4                              1  \n",
       "..                           ...  \n",
       "395                            0  \n",
       "396                            0  \n",
       "397                            0  \n",
       "398                            0  \n",
       "399                            0  \n",
       "\n",
       "[400 rows x 18 columns]"
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     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kidney_df.rename(columns={'Blood Urea (mgs/dL)':  'patient_urea'}, inplace=True)\n",
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 400 entries, 0 to 399\n",
      "Data columns (total 18 columns):\n",
      " #   Column                          Non-Null Count  Dtype  \n",
      "---  ------                          --------------  -----  \n",
      " 0   patient_age                     400 non-null    float64\n",
      " 1   patient_bp                      400 non-null    int64  \n",
      " 2   patient_sg                      400 non-null    float64\n",
      " 3   patient_blood_sugar             400 non-null    float64\n",
      " 4   patient_urea                    400 non-null    float64\n",
      " 5   Serum Creatinine (mgs/dL)       400 non-null    float64\n",
      " 6   Sodium (mEq/L)                  400 non-null    float64\n",
      " 7   Potassium (mEq/L)               400 non-null    float64\n",
      " 8   Hemoglobin (gms)                400 non-null    float64\n",
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      " 10  Appetite: poor                  400 non-null    int64  \n",
      " 11  Red Blood Cells (millions/cmm)  400 non-null    float64\n",
      " 12  Hypertension: yes               400 non-null    int64  \n",
      " 13  Bacteria: present               400 non-null    int64  \n",
      " 14  Diabetes Mellitus: yes          400 non-null    int64  \n",
      " 15  Coronary Artery Disease: yes    400 non-null    int64  \n",
      " 16  Anemia: yes                     400 non-null    int64  \n",
      " 17  Chronic Kidney Disease: yes     400 non-null    int64  \n",
      "dtypes: float64(10), int64(8)\n",
      "memory usage: 56.4 KB\n"
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    }
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   "source": [
    "kidney_df.info()"
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         "Serum Creatinine (mgs/dL)": 76,
         "Sodium (mEq/L)": 163,
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         "_deepnote_index_column": "max",
         "patient_age": 90,
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      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_age</th>\n",
       "      <th>patient_bp</th>\n",
       "      <th>patient_sg</th>\n",
       "      <th>patient_blood_sugar</th>\n",
       "      <th>patient_urea</th>\n",
       "      <th>Serum Creatinine (mgs/dL)</th>\n",
       "      <th>Sodium (mEq/L)</th>\n",
       "      <th>Potassium (mEq/L)</th>\n",
       "      <th>Hemoglobin (gms)</th>\n",
       "      <th>White Blood Cells (cells/cmm)</th>\n",
       "      <th>Appetite: poor</th>\n",
       "      <th>Red Blood Cells (millions/cmm)</th>\n",
       "      <th>Hypertension: yes</th>\n",
       "      <th>Bacteria: present</th>\n",
       "      <th>Diabetes Mellitus: yes</th>\n",
       "      <th>Coronary Artery Disease: yes</th>\n",
       "      <th>Anemia: yes</th>\n",
       "      <th>Chronic Kidney Disease: yes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>400.000000</td>\n",
       "      <td>400.000000</td>\n",
       "      <td>400.000000</td>\n",
       "      <td>400.000000</td>\n",
       "      <td>400.000000</td>\n",
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       "      <td>400.000000</td>\n",
       "      <td>400.000000</td>\n",
       "      <td>400.000000</td>\n",
       "      <td>400.000000</td>\n",
       "      <td>400.000000</td>\n",
       "      <td>400.000000</td>\n",
       "      <td>400.000000</td>\n",
       "      <td>400.000000</td>\n",
       "      <td>400.00000</td>\n",
       "      <td>400.000000</td>\n",
       "      <td>400.000000</td>\n",
       "      <td>400.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>51.591123</td>\n",
       "      <td>76.300000</td>\n",
       "      <td>1.017449</td>\n",
       "      <td>146.005923</td>\n",
       "      <td>56.806872</td>\n",
       "      <td>3.022922</td>\n",
       "      <td>137.387860</td>\n",
       "      <td>4.569293</td>\n",
       "      <td>12.437039</td>\n",
       "      <td>8356.577660</td>\n",
       "      <td>0.205000</td>\n",
       "      <td>4.589940</td>\n",
       "      <td>0.367500</td>\n",
       "      <td>0.055000</td>\n",
       "      <td>0.34250</td>\n",
       "      <td>0.085000</td>\n",
       "      <td>0.150000</td>\n",
       "      <td>0.625000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>17.042814</td>\n",
       "      <td>13.593084</td>\n",
       "      <td>0.005597</td>\n",
       "      <td>76.422249</td>\n",
       "      <td>49.808436</td>\n",
       "      <td>5.631037</td>\n",
       "      <td>9.273123</td>\n",
       "      <td>2.829638</td>\n",
       "      <td>2.792771</td>\n",
       "      <td>2620.319668</td>\n",
       "      <td>0.404207</td>\n",
       "      <td>0.922888</td>\n",
       "      <td>0.482728</td>\n",
       "      <td>0.228266</td>\n",
       "      <td>0.47514</td>\n",
       "      <td>0.279231</td>\n",
       "      <td>0.357519</td>\n",
       "      <td>0.484729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>1.005000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>4.500000</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>3.100000</td>\n",
       "      <td>2200.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.100000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>42.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>1.015000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>135.000000</td>\n",
       "      <td>3.900000</td>\n",
       "      <td>10.508490</td>\n",
       "      <td>6700.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.900000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>55.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>1.020000</td>\n",
       "      <td>119.491153</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>1.300000</td>\n",
       "      <td>138.000000</td>\n",
       "      <td>4.400000</td>\n",
       "      <td>12.259382</td>\n",
       "      <td>8231.186346</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.600000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>65.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>1.020000</td>\n",
       "      <td>159.250000</td>\n",
       "      <td>65.250000</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>141.000000</td>\n",
       "      <td>4.900000</td>\n",
       "      <td>14.800000</td>\n",
       "      <td>9577.140214</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.200000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>90.000000</td>\n",
       "      <td>180.000000</td>\n",
       "      <td>1.025000</td>\n",
       "      <td>490.000000</td>\n",
       "      <td>391.000000</td>\n",
       "      <td>76.000000</td>\n",
       "      <td>163.000000</td>\n",
       "      <td>47.000000</td>\n",
       "      <td>17.800000</td>\n",
       "      <td>26400.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       patient_age  patient_bp  patient_sg  patient_blood_sugar  patient_urea  \\\n",
       "count   400.000000  400.000000  400.000000           400.000000    400.000000   \n",
       "mean     51.591123   76.300000    1.017449           146.005923     56.806872   \n",
       "std      17.042814   13.593084    0.005597            76.422249     49.808436   \n",
       "min       2.000000   50.000000    1.005000            22.000000      1.500000   \n",
       "25%      42.000000   70.000000    1.015000           100.000000     27.000000   \n",
       "50%      55.000000   80.000000    1.020000           119.491153     41.000000   \n",
       "75%      65.000000   80.000000    1.020000           159.250000     65.250000   \n",
       "max      90.000000  180.000000    1.025000           490.000000    391.000000   \n",
       "\n",
       "       Serum Creatinine (mgs/dL)  Sodium (mEq/L)  Potassium (mEq/L)  \\\n",
       "count                 400.000000      400.000000         400.000000   \n",
       "mean                    3.022922      137.387860           4.569293   \n",
       "std                     5.631037        9.273123           2.829638   \n",
       "min                     0.400000        4.500000           2.500000   \n",
       "25%                     0.900000      135.000000           3.900000   \n",
       "50%                     1.300000      138.000000           4.400000   \n",
       "75%                     2.800000      141.000000           4.900000   \n",
       "max                    76.000000      163.000000          47.000000   \n",
       "\n",
       "       Hemoglobin (gms)  White Blood Cells (cells/cmm)  Appetite: poor  \\\n",
       "count        400.000000                     400.000000      400.000000   \n",
       "mean          12.437039                    8356.577660        0.205000   \n",
       "std            2.792771                    2620.319668        0.404207   \n",
       "min            3.100000                    2200.000000        0.000000   \n",
       "25%           10.508490                    6700.000000        0.000000   \n",
       "50%           12.259382                    8231.186346        0.000000   \n",
       "75%           14.800000                    9577.140214        0.000000   \n",
       "max           17.800000                   26400.000000        1.000000   \n",
       "\n",
       "       Red Blood Cells (millions/cmm)  Hypertension: yes  Bacteria: present  \\\n",
       "count                      400.000000         400.000000         400.000000   \n",
       "mean                         4.589940           0.367500           0.055000   \n",
       "std                          0.922888           0.482728           0.228266   \n",
       "min                          2.100000           0.000000           0.000000   \n",
       "25%                          3.900000           0.000000           0.000000   \n",
       "50%                          4.600000           0.000000           0.000000   \n",
       "75%                          5.200000           1.000000           0.000000   \n",
       "max                          8.000000           1.000000           1.000000   \n",
       "\n",
       "       Diabetes Mellitus: yes  Coronary Artery Disease: yes  Anemia: yes  \\\n",
       "count               400.00000                    400.000000   400.000000   \n",
       "mean                  0.34250                      0.085000     0.150000   \n",
       "std                   0.47514                      0.279231     0.357519   \n",
       "min                   0.00000                      0.000000     0.000000   \n",
       "25%                   0.00000                      0.000000     0.000000   \n",
       "50%                   0.00000                      0.000000     0.000000   \n",
       "75%                   1.00000                      0.000000     0.000000   \n",
       "max                   1.00000                      1.000000     1.000000   \n",
       "\n",
       "       Chronic Kidney Disease: yes  \n",
       "count                   400.000000  \n",
       "mean                      0.625000  \n",
       "std                       0.484729  \n",
       "min                       0.000000  \n",
       "25%                       0.000000  \n",
       "50%                       1.000000  \n",
       "75%                       1.000000  \n",
       "max                       1.000000  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kidney_df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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    "deepnote_cell_type": "markdown"
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    "<img alt='Created in deepnote.com' style='display:inline;max-height:16px;margin:0px;margin-right:7.5px;' src='data:image/svg+xml;base64,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' > </img>\n",
    "Created in <span style='font-weight:600;margin-left:4px;'>Deepnote</span></a>"
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