diff --git a/rt_segment_speeds/22a_investigate_post_interpolation.ipynb b/rt_segment_speeds/22a_investigate_post_interpolation.ipynb
new file mode 100644
index 000000000..98f19b8e0
--- /dev/null
+++ b/rt_segment_speeds/22a_investigate_post_interpolation.ipynb
@@ -0,0 +1,2014 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "bd13ebd1-69b0-4fc2-8202-cc34eacb6e9e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import geopandas as gpd\n",
+    "import pandas as pd\n",
+    "from siuba import *\n",
+    "\n",
+    "from shared_utils import rt_dates, rt_utils, geography_utils\n",
+    "from segment_speed_utils import helpers\n",
+    "from segment_speed_utils.project_vars import SEGMENT_GCS, PROJECT_CRS\n",
+    "\n",
+    "from prep_comparison import map_one_trip, remove_interpolated_segments\n",
+    "\n",
+    "analysis_date = rt_dates.DATES[\"sep2023\"]\n",
+    "\n",
+    "import folium\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "28bed394-670c-4f25-81c2-1db9e8f451b0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from calitp_data_analysis.calitp_color_palette import CALITP_CATEGORY_BOLD_COLORS"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "369c795d-5a7a-4471-9432-c0338f430b27",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_eric = gpd.read_parquet(f\"{SEGMENT_GCS}speeds_eric_{analysis_date}.parquet\")\n",
+    "df_eric = remove_interpolated_segments(df_eric)\n",
+    "df_tiff = gpd.read_parquet(f\"{SEGMENT_GCS}speeds_tiff_{analysis_date}.parquet\")\n",
+    "df_tiff_interp = pd.read_parquet(f\"{SEGMENT_GCS}speeds_tiff_interp_{analysis_date}.parquet\")\n",
+    "speed_df = pd.read_parquet(\n",
+    "    f\"{SEGMENT_GCS}speeds_comparison_{analysis_date}.parquet\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "65dadf9f-17e5-4774-9789-0c6ebe3fc211",
+   "metadata": {},
+   "source": [
+    "# Dataset-level comparison\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "e964fbdc-4426-42d8-bb36-10ad3e122ebe",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>_merge</th>\n",
+       "      <th>n</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>left_only</td>\n",
+       "      <td>8067</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>right_only</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>both</td>\n",
+       "      <td>130920</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       _merge       n\n",
+       "0   left_only    8067\n",
+       "1  right_only       0\n",
+       "2        both  130920"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "speed_df >> count(_._merge)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "424279aa-fcf3-46ec-b706-bdae0f8b4b0d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#  some infinite speeds present\n",
+    "speed_df = speed_df >> filter(_._merge == 'both', _.tiff_interp_speed_mph < np.inf)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "79d957c1-672a-4e62-9f9d-87a3f8d80be0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_319/1626851892.py:1: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  speed_df['interp_difference'] = speed_df.tiff_interp_speed_mph - speed_df.eric_speed_mph\n"
+     ]
+    }
+   ],
+   "source": [
+    "speed_df['interp_difference'] = speed_df.tiff_interp_speed_mph - speed_df.eric_speed_mph"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "2365831f-53b0-4124-b6e6-20a741a8fc32",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>trip_id</th>\n",
+       "      <th>shape_id</th>\n",
+       "      <th>stop_id</th>\n",
+       "      <th>stop_sequence</th>\n",
+       "      <th>route_id</th>\n",
+       "      <th>direction_id</th>\n",
+       "      <th>eric_speed_mph</th>\n",
+       "      <th>tiff_speed_mph</th>\n",
+       "      <th>_merge</th>\n",
+       "      <th>tiff_interp_speed_mph</th>\n",
+       "      <th>interp_difference</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>891</th>\n",
+       "      <td>10040009470701-JUNE23</td>\n",
+       "      <td>400947_JUNE23</td>\n",
+       "      <td>683</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>40-13168</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>7.236980</td>\n",
+       "      <td>7.286552</td>\n",
+       "      <td>both</td>\n",
+       "      <td>99.146632</td>\n",
+       "      <td>91.909652</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>893</th>\n",
+       "      <td>10040009470808-JUNE23</td>\n",
+       "      <td>400947_JUNE23</td>\n",
+       "      <td>683</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>40-13168</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.888103</td>\n",
+       "      <td>8.222882</td>\n",
+       "      <td>both</td>\n",
+       "      <td>90.133302</td>\n",
+       "      <td>86.245199</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>895</th>\n",
+       "      <td>10040009470535-JUNE23</td>\n",
+       "      <td>400947_JUNE23</td>\n",
+       "      <td>683</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>40-13168</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.436908</td>\n",
+       "      <td>4.609504</td>\n",
+       "      <td>both</td>\n",
+       "      <td>82.622193</td>\n",
+       "      <td>81.185286</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>898</th>\n",
+       "      <td>10040009470758-JUNE23</td>\n",
+       "      <td>400947_JUNE23</td>\n",
+       "      <td>683</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>40-13168</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>7.931731</td>\n",
+       "      <td>8.454223</td>\n",
+       "      <td>both</td>\n",
+       "      <td>123.933290</td>\n",
+       "      <td>116.001560</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1502</th>\n",
+       "      <td>10222000790716-JUNE23</td>\n",
+       "      <td>2220079_JUNE23</td>\n",
+       "      <td>13038</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>222-13168</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>52.233934</td>\n",
+       "      <td>28.658222</td>\n",
+       "      <td>both</td>\n",
+       "      <td>348.226230</td>\n",
+       "      <td>295.992295</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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>124525</th>\n",
+       "      <td>10460002000705-JUNE23</td>\n",
+       "      <td>4600200_JUNE23</td>\n",
+       "      <td>16926</td>\n",
+       "      <td>69.0</td>\n",
+       "      <td>460-13168</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>23.951370</td>\n",
+       "      <td>25.758521</td>\n",
+       "      <td>both</td>\n",
+       "      <td>191.610963</td>\n",
+       "      <td>167.659593</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>124531</th>\n",
+       "      <td>10106000690704-JUNE23</td>\n",
+       "      <td>1060069_JUNE23</td>\n",
+       "      <td>4427</td>\n",
+       "      <td>69.0</td>\n",
+       "      <td>106-13168</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>12.680597</td>\n",
+       "      <td>3.190622</td>\n",
+       "      <td>both</td>\n",
+       "      <td>97.217912</td>\n",
+       "      <td>84.537315</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>124534</th>\n",
+       "      <td>10106000690744-JUNE23</td>\n",
+       "      <td>1060069_JUNE23</td>\n",
+       "      <td>4427</td>\n",
+       "      <td>69.0</td>\n",
+       "      <td>106-13168</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>14.582687</td>\n",
+       "      <td>5.579753</td>\n",
+       "      <td>both</td>\n",
+       "      <td>124.994459</td>\n",
+       "      <td>110.411772</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>125477</th>\n",
+       "      <td>10070003020649-JUNE23</td>\n",
+       "      <td>700302_JUNE23</td>\n",
+       "      <td>2176</td>\n",
+       "      <td>70.0</td>\n",
+       "      <td>70-13168</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>9.890274</td>\n",
+       "      <td>17.969755</td>\n",
+       "      <td>both</td>\n",
+       "      <td>890.124693</td>\n",
+       "      <td>880.234419</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>133086</th>\n",
+       "      <td>10070003000833-JUNE23</td>\n",
+       "      <td>700300_JUNE23</td>\n",
+       "      <td>13549</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>70-13168</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>26.591245</td>\n",
+       "      <td>2442.099225</td>\n",
+       "      <td>both</td>\n",
+       "      <td>132.956224</td>\n",
+       "      <td>106.364979</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>89 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                      trip_id        shape_id stop_id  stop_sequence  \\\n",
+       "891     10040009470701-JUNE23   400947_JUNE23     683            3.0   \n",
+       "893     10040009470808-JUNE23   400947_JUNE23     683            3.0   \n",
+       "895     10040009470535-JUNE23   400947_JUNE23     683            3.0   \n",
+       "898     10040009470758-JUNE23   400947_JUNE23     683            3.0   \n",
+       "1502    10222000790716-JUNE23  2220079_JUNE23   13038            3.0   \n",
+       "...                       ...             ...     ...            ...   \n",
+       "124525  10460002000705-JUNE23  4600200_JUNE23   16926           69.0   \n",
+       "124531  10106000690704-JUNE23  1060069_JUNE23    4427           69.0   \n",
+       "124534  10106000690744-JUNE23  1060069_JUNE23    4427           69.0   \n",
+       "125477  10070003020649-JUNE23   700302_JUNE23    2176           70.0   \n",
+       "133086  10070003000833-JUNE23   700300_JUNE23   13549           80.0   \n",
+       "\n",
+       "         route_id  direction_id  eric_speed_mph  tiff_speed_mph _merge  \\\n",
+       "891      40-13168           1.0        7.236980        7.286552   both   \n",
+       "893      40-13168           1.0        3.888103        8.222882   both   \n",
+       "895      40-13168           1.0        1.436908        4.609504   both   \n",
+       "898      40-13168           1.0        7.931731        8.454223   both   \n",
+       "1502    222-13168           1.0       52.233934       28.658222   both   \n",
+       "...           ...           ...             ...             ...    ...   \n",
+       "124525  460-13168           0.0       23.951370       25.758521   both   \n",
+       "124531  106-13168           0.0       12.680597        3.190622   both   \n",
+       "124534  106-13168           0.0       14.582687        5.579753   both   \n",
+       "125477   70-13168           0.0        9.890274       17.969755   both   \n",
+       "133086   70-13168           1.0       26.591245     2442.099225   both   \n",
+       "\n",
+       "        tiff_interp_speed_mph  interp_difference  \n",
+       "891                 99.146632          91.909652  \n",
+       "893                 90.133302          86.245199  \n",
+       "895                 82.622193          81.185286  \n",
+       "898                123.933290         116.001560  \n",
+       "1502               348.226230         295.992295  \n",
+       "...                       ...                ...  \n",
+       "124525             191.610963         167.659593  \n",
+       "124531              97.217912          84.537315  \n",
+       "124534             124.994459         110.411772  \n",
+       "125477             890.124693         880.234419  \n",
+       "133086             132.956224         106.364979  \n",
+       "\n",
+       "[89 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "speed_df >> filter(_.tiff_interp_speed_mph > 80)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "d3cbad40-f49e-47c8-843d-8b0d71f4ce20",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:>"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "speed_df.eric_speed_mph.hist()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "b43d17dc-75ad-4357-8f36-57a7c6b93b08",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# (speed_df >> filter(_.tiff_speed_mph < 80)).tiff_speed_mph.hist()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "169a74a9-c4fc-4c44-ba7b-46e2fc8ba3a8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:>"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "(speed_df >> filter(_.tiff_interp_speed_mph < 80)).tiff_interp_speed_mph.hist()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "9a50b916-a7d1-412e-9c98-6991ed9f7c33",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>stop_sequence</th>\n",
+       "      <th>direction_id</th>\n",
+       "      <th>eric_speed_mph</th>\n",
+       "      <th>tiff_speed_mph</th>\n",
+       "      <th>tiff_interp_speed_mph</th>\n",
+       "      <th>interp_difference</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>121737.000000</td>\n",
+       "      <td>121737.000000</td>\n",
+       "      <td>121737.000000</td>\n",
+       "      <td>121737.000000</td>\n",
+       "      <td>121737.000000</td>\n",
+       "      <td>121737.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>36.838644</td>\n",
+       "      <td>0.513016</td>\n",
+       "      <td>14.809543</td>\n",
+       "      <td>12.060441</td>\n",
+       "      <td>14.905457</td>\n",
+       "      <td>0.095914</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>23.039439</td>\n",
+       "      <td>0.499833</td>\n",
+       "      <td>7.888698</td>\n",
+       "      <td>12.575817</td>\n",
+       "      <td>13.582043</td>\n",
+       "      <td>11.456724</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.056044</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.119131</td>\n",
+       "      <td>-77.173946</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>18.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>8.956067</td>\n",
+       "      <td>6.351169</td>\n",
+       "      <td>8.917777</td>\n",
+       "      <td>-0.301087</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>34.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>13.242002</td>\n",
+       "      <td>9.825973</td>\n",
+       "      <td>13.205725</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>53.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>19.108548</td>\n",
+       "      <td>15.253100</td>\n",
+       "      <td>19.027581</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>133.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>79.688768</td>\n",
+       "      <td>2442.099225</td>\n",
+       "      <td>1559.351151</td>\n",
+       "      <td>1544.777775</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       stop_sequence   direction_id  eric_speed_mph  tiff_speed_mph  \\\n",
+       "count  121737.000000  121737.000000   121737.000000   121737.000000   \n",
+       "mean       36.838644       0.513016       14.809543       12.060441   \n",
+       "std        23.039439       0.499833        7.888698       12.575817   \n",
+       "min         3.000000       0.000000        0.056044        0.000000   \n",
+       "25%        18.000000       0.000000        8.956067        6.351169   \n",
+       "50%        34.000000       1.000000       13.242002        9.825973   \n",
+       "75%        53.000000       1.000000       19.108548       15.253100   \n",
+       "max       133.000000       1.000000       79.688768     2442.099225   \n",
+       "\n",
+       "       tiff_interp_speed_mph  interp_difference  \n",
+       "count          121737.000000      121737.000000  \n",
+       "mean               14.905457           0.095914  \n",
+       "std                13.582043          11.456724  \n",
+       "min                 0.119131         -77.173946  \n",
+       "25%                 8.917777          -0.301087  \n",
+       "50%                13.205725           0.000000  \n",
+       "75%                19.027581           0.000000  \n",
+       "max              1559.351151        1544.777775  "
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "speed_df.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "081f348a-91f2-4727-a2cc-a64c182b55d3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1.8884715484353258"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "speed_df.interp_difference.quantile(.95)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "43f16144-f52c-4b1a-85ba-559a74c8c5a7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-1.8717697511490712"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "speed_df.interp_difference.quantile(.05)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3c362785-d64b-489b-ab5d-071525dd488d",
+   "metadata": {},
+   "source": [
+    "## Differences by route at 80th, 90th percentiles\n",
+    "\n",
+    "* limited opportunity for further investigation, but again generally very good!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "73bc311e-2606-4a70-a64a-153b4ce4cad1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "p80_diffs = speed_df >> group_by(_.route_id, _.shape_id) >> summarize(p80_difference = _.interp_difference.quantile(.8))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "a436bf70-b4e9-46b3-ae43-431195a1f55a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>route_id</th>\n",
+       "      <th>shape_id</th>\n",
+       "      <th>p80_difference</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>280</th>\n",
+       "      <td>51-13168</td>\n",
+       "      <td>510344_JUNE23</td>\n",
+       "      <td>14.594673</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>348</th>\n",
+       "      <td>805</td>\n",
+       "      <td>805WB_190513</td>\n",
+       "      <td>9.230499</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>341</th>\n",
+       "      <td>802</td>\n",
+       "      <td>802EB_190513</td>\n",
+       "      <td>6.481253</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>344</th>\n",
+       "      <td>803</td>\n",
+       "      <td>803WB_120215</td>\n",
+       "      <td>6.030507</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>342</th>\n",
+       "      <td>802</td>\n",
+       "      <td>802WB_190513</td>\n",
+       "      <td>5.432001</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>367</th>\n",
+       "      <td>92-13168</td>\n",
+       "      <td>920299_JUNE23</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>368</th>\n",
+       "      <td>94-13168</td>\n",
+       "      <td>940256_JUNE23</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>369</th>\n",
+       "      <td>94-13168</td>\n",
+       "      <td>940258_JUNE23</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>370</th>\n",
+       "      <td>96-13168</td>\n",
+       "      <td>960250_JUNE23</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>371</th>\n",
+       "      <td>96-13168</td>\n",
+       "      <td>960251_JUNE23</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>372 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     route_id       shape_id  p80_difference\n",
+       "280  51-13168  510344_JUNE23       14.594673\n",
+       "348       805   805WB_190513        9.230499\n",
+       "341       802   802EB_190513        6.481253\n",
+       "344       803   803WB_120215        6.030507\n",
+       "342       802   802WB_190513        5.432001\n",
+       "..        ...            ...             ...\n",
+       "367  92-13168  920299_JUNE23        0.000000\n",
+       "368  94-13168  940256_JUNE23        0.000000\n",
+       "369  94-13168  940258_JUNE23        0.000000\n",
+       "370  96-13168  960250_JUNE23        0.000000\n",
+       "371  96-13168  960251_JUNE23        0.000000\n",
+       "\n",
+       "[372 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "p80_diffs >> arrange(-_.p80_difference)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "93045b44-a5b8-4f29-b827-03ef304b980c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>p80_difference</th>\n",
+       "      <th>n</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>355</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.119273</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.244066</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.361835</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.417922</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>0.451117</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>0.719416</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>0.780447</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>0.821906</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>1.050404</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>1.310236</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>2.872882</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>3.106103</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>5.432001</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>6.030507</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>6.481253</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>9.230499</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>14.594673</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    p80_difference    n\n",
+       "0         0.000000  355\n",
+       "1         0.119273    1\n",
+       "2         0.244066    1\n",
+       "3         0.361835    1\n",
+       "4         0.417922    1\n",
+       "5         0.451117    1\n",
+       "6         0.719416    1\n",
+       "7         0.780447    1\n",
+       "8         0.821906    1\n",
+       "9         1.050404    1\n",
+       "10        1.310236    1\n",
+       "11        2.872882    1\n",
+       "12        3.106103    1\n",
+       "13        5.432001    1\n",
+       "14        6.030507    1\n",
+       "15        6.481253    1\n",
+       "16        9.230499    1\n",
+       "17       14.594673    1"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "p80_diffs >> count(_.p80_difference)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "219f9a43-b061-4380-b9da-b0f71b57dd2c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "p90_diffs = speed_df >> group_by(_.route_id, _.shape_id) >> summarize(p90_difference = _.interp_difference.quantile(.9))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "ed7b0281-a0d9-4a97-b749-f80a184c60eb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>route_id</th>\n",
+       "      <th>shape_id</th>\n",
+       "      <th>p90_difference</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>280</th>\n",
+       "      <td>51-13168</td>\n",
+       "      <td>510344_JUNE23</td>\n",
+       "      <td>17.608822</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>348</th>\n",
+       "      <td>805</td>\n",
+       "      <td>805WB_190513</td>\n",
+       "      <td>11.145241</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>342</th>\n",
+       "      <td>802</td>\n",
+       "      <td>802WB_190513</td>\n",
+       "      <td>11.103630</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>341</th>\n",
+       "      <td>802</td>\n",
+       "      <td>802EB_190513</td>\n",
+       "      <td>10.504373</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>291</th>\n",
+       "      <td>577-13168</td>\n",
+       "      <td>5770040_JUNE23</td>\n",
+       "      <td>9.318308</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>367</th>\n",
+       "      <td>92-13168</td>\n",
+       "      <td>920299_JUNE23</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>368</th>\n",
+       "      <td>94-13168</td>\n",
+       "      <td>940256_JUNE23</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>369</th>\n",
+       "      <td>94-13168</td>\n",
+       "      <td>940258_JUNE23</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>370</th>\n",
+       "      <td>96-13168</td>\n",
+       "      <td>960250_JUNE23</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>371</th>\n",
+       "      <td>96-13168</td>\n",
+       "      <td>960251_JUNE23</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>372 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      route_id        shape_id  p90_difference\n",
+       "280   51-13168   510344_JUNE23       17.608822\n",
+       "348        805    805WB_190513       11.145241\n",
+       "342        802    802WB_190513       11.103630\n",
+       "341        802    802EB_190513       10.504373\n",
+       "291  577-13168  5770040_JUNE23        9.318308\n",
+       "..         ...             ...             ...\n",
+       "367   92-13168   920299_JUNE23        0.000000\n",
+       "368   94-13168   940256_JUNE23        0.000000\n",
+       "369   94-13168   940258_JUNE23        0.000000\n",
+       "370   96-13168   960250_JUNE23        0.000000\n",
+       "371   96-13168   960251_JUNE23        0.000000\n",
+       "\n",
+       "[372 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "(p90_diffs >> arrange(-_.p90_difference))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "c5539467-797d-4be5-9ce7-6c276bf37de9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>route_id</th>\n",
+       "      <th>shape_id</th>\n",
+       "      <th>p90_difference</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>280</th>\n",
+       "      <td>51-13168</td>\n",
+       "      <td>510344_JUNE23</td>\n",
+       "      <td>17.608822</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>348</th>\n",
+       "      <td>805</td>\n",
+       "      <td>805WB_190513</td>\n",
+       "      <td>11.145241</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>342</th>\n",
+       "      <td>802</td>\n",
+       "      <td>802WB_190513</td>\n",
+       "      <td>11.103630</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>341</th>\n",
+       "      <td>802</td>\n",
+       "      <td>802EB_190513</td>\n",
+       "      <td>10.504373</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>291</th>\n",
+       "      <td>577-13168</td>\n",
+       "      <td>5770040_JUNE23</td>\n",
+       "      <td>9.318308</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>284</th>\n",
+       "      <td>53-13168</td>\n",
+       "      <td>530240_JUNE23</td>\n",
+       "      <td>7.956904</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>344</th>\n",
+       "      <td>803</td>\n",
+       "      <td>803WB_120215</td>\n",
+       "      <td>7.737499</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>273</th>\n",
+       "      <td>51-13168</td>\n",
+       "      <td>510324_JUNE23</td>\n",
+       "      <td>7.678630</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>339</th>\n",
+       "      <td>801</td>\n",
+       "      <td>801NB_RC_221121</td>\n",
+       "      <td>5.241358</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>346</th>\n",
+       "      <td>804</td>\n",
+       "      <td>804WB_RC_221121</td>\n",
+       "      <td>3.389427</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>345</th>\n",
+       "      <td>804</td>\n",
+       "      <td>804EB_RC_221121</td>\n",
+       "      <td>3.275685</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>139</th>\n",
+       "      <td>212-13168</td>\n",
+       "      <td>2120230_JUNE23</td>\n",
+       "      <td>2.930842</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>311</th>\n",
+       "      <td>66-13168</td>\n",
+       "      <td>660421_JUNE23</td>\n",
+       "      <td>2.892077</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>285</th>\n",
+       "      <td>53-13168</td>\n",
+       "      <td>530241_JUNE23</td>\n",
+       "      <td>2.717356</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>323</th>\n",
+       "      <td>720-13168</td>\n",
+       "      <td>7201278_JUNE23</td>\n",
+       "      <td>2.249340</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>111-13168</td>\n",
+       "      <td>1110401_JUNE23</td>\n",
+       "      <td>2.161038</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>340</th>\n",
+       "      <td>801</td>\n",
+       "      <td>801SB_RC_221121</td>\n",
+       "      <td>2.125345</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>90</th>\n",
+       "      <td>165-13168</td>\n",
+       "      <td>1650208_JUNE23</td>\n",
+       "      <td>1.970811</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>343</th>\n",
+       "      <td>803</td>\n",
+       "      <td>803EB_120215</td>\n",
+       "      <td>1.897613</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>265</th>\n",
+       "      <td>460-13168</td>\n",
+       "      <td>4600200_JUNE23</td>\n",
+       "      <td>1.869998</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>349</th>\n",
+       "      <td>807</td>\n",
+       "      <td>807NB_220810</td>\n",
+       "      <td>1.857321</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40</th>\n",
+       "      <td>111-13168</td>\n",
+       "      <td>1110423_JUNE23</td>\n",
+       "      <td>1.712616</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>105-13168</td>\n",
+       "      <td>1050261_JUNE23</td>\n",
+       "      <td>1.625885</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>80</th>\n",
+       "      <td>16-13168</td>\n",
+       "      <td>160435_JUNE23</td>\n",
+       "      <td>1.515765</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>111-13168</td>\n",
+       "      <td>1110427_JUNE23</td>\n",
+       "      <td>1.489256</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>297</th>\n",
+       "      <td>601-13168</td>\n",
+       "      <td>6010002_JUNE23</td>\n",
+       "      <td>1.470744</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>350</th>\n",
+       "      <td>807</td>\n",
+       "      <td>807SB_220810</td>\n",
+       "      <td>1.395148</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>357</th>\n",
+       "      <td>901-13168</td>\n",
+       "      <td>9010054_JUNE23</td>\n",
+       "      <td>1.358461</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334</th>\n",
+       "      <td>761-13168</td>\n",
+       "      <td>7610074_JUNE23</td>\n",
+       "      <td>1.345373</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>123</th>\n",
+       "      <td>206-13168</td>\n",
+       "      <td>2060180_JUNE23</td>\n",
+       "      <td>1.308359</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>221</th>\n",
+       "      <td>35-13168</td>\n",
+       "      <td>350273_JUNE23</td>\n",
+       "      <td>1.298307</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>269</th>\n",
+       "      <td>487-13168</td>\n",
+       "      <td>4870124_JUNE23</td>\n",
+       "      <td>1.237686</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>330</th>\n",
+       "      <td>754-13168</td>\n",
+       "      <td>7540103_JUNE23</td>\n",
+       "      <td>1.221909</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>248</th>\n",
+       "      <td>3650</td>\n",
+       "      <td>26512</td>\n",
+       "      <td>1.185546</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>322</th>\n",
+       "      <td>720-13168</td>\n",
+       "      <td>7201275_JUNE23</td>\n",
+       "      <td>1.123097</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>114</th>\n",
+       "      <td>2-13168</td>\n",
+       "      <td>21124_JUNE23</td>\n",
+       "      <td>1.065693</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>329</th>\n",
+       "      <td>754-13168</td>\n",
+       "      <td>7540100_JUNE23</td>\n",
+       "      <td>1.021511</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>351</th>\n",
+       "      <td>81-13168</td>\n",
+       "      <td>810319_JUNE23</td>\n",
+       "      <td>0.983131</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>110</th>\n",
+       "      <td>18-13168</td>\n",
+       "      <td>180339_JUNE23</td>\n",
+       "      <td>0.966541</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>213</th>\n",
+       "      <td>30-13168</td>\n",
+       "      <td>300816_JUNE23</td>\n",
+       "      <td>0.928976</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>328</th>\n",
+       "      <td>720-13168</td>\n",
+       "      <td>7201299_JUNE23</td>\n",
+       "      <td>0.927439</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>325</th>\n",
+       "      <td>720-13168</td>\n",
+       "      <td>7201296_JUNE23</td>\n",
+       "      <td>0.887781</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>117</th>\n",
+       "      <td>20-13168</td>\n",
+       "      <td>200801_JUNE23</td>\n",
+       "      <td>0.831867</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>111-13168</td>\n",
+       "      <td>1110417_JUNE23</td>\n",
+       "      <td>0.816518</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>283</th>\n",
+       "      <td>51-13168</td>\n",
+       "      <td>510347_JUNE23</td>\n",
+       "      <td>0.776240</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>43</th>\n",
+       "      <td>111-13168</td>\n",
+       "      <td>1110428_JUNE23</td>\n",
+       "      <td>0.763027</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>326</th>\n",
+       "      <td>720-13168</td>\n",
+       "      <td>7201297_JUNE23</td>\n",
+       "      <td>0.746771</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>111-13168</td>\n",
+       "      <td>1110414_JUNE23</td>\n",
+       "      <td>0.740132</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>307</th>\n",
+       "      <td>66-13168</td>\n",
+       "      <td>660417_JUNE23</td>\n",
+       "      <td>0.737124</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>235</th>\n",
+       "      <td>3637</td>\n",
+       "      <td>26463</td>\n",
+       "      <td>0.724721</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>51</th>\n",
+       "      <td>115-13168</td>\n",
+       "      <td>1150537_JUNE23</td>\n",
+       "      <td>0.699571</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>158</th>\n",
+       "      <td>233-13168</td>\n",
+       "      <td>2330157_JUNE23</td>\n",
+       "      <td>0.689547</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>79</th>\n",
+       "      <td>16-13168</td>\n",
+       "      <td>160434_JUNE23</td>\n",
+       "      <td>0.626378</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>126</th>\n",
+       "      <td>207-13168</td>\n",
+       "      <td>2070299_JUNE23</td>\n",
+       "      <td>0.623644</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>264</th>\n",
+       "      <td>460-13168</td>\n",
+       "      <td>4600199_JUNE23</td>\n",
+       "      <td>0.561841</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>140</th>\n",
+       "      <td>212-13168</td>\n",
+       "      <td>2120231_JUNE23</td>\n",
+       "      <td>0.543471</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>108-13168</td>\n",
+       "      <td>1080360_JUNE23</td>\n",
+       "      <td>0.542826</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>48</th>\n",
+       "      <td>115-13168</td>\n",
+       "      <td>1150530_JUNE23</td>\n",
+       "      <td>0.433483</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>165</th>\n",
+       "      <td>236-13168</td>\n",
+       "      <td>2360123_JUNE23</td>\n",
+       "      <td>0.416887</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>313</th>\n",
+       "      <td>660-13168</td>\n",
+       "      <td>6600011_JUNE23</td>\n",
+       "      <td>0.409033</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>204</th>\n",
+       "      <td>28-13168</td>\n",
+       "      <td>280646_JUNE23</td>\n",
+       "      <td>0.408705</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>275</th>\n",
+       "      <td>51-13168</td>\n",
+       "      <td>510326_JUNE23</td>\n",
+       "      <td>0.408559</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>364</th>\n",
+       "      <td>910-13168</td>\n",
+       "      <td>9100212_JUNE23</td>\n",
+       "      <td>0.381431</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>281</th>\n",
+       "      <td>51-13168</td>\n",
+       "      <td>510345_JUNE23</td>\n",
+       "      <td>0.379124</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>122</th>\n",
+       "      <td>206-13168</td>\n",
+       "      <td>2060178_JUNE23</td>\n",
+       "      <td>0.374014</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>173</th>\n",
+       "      <td>242-13168</td>\n",
+       "      <td>2420003_JUNE23</td>\n",
+       "      <td>0.342196</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>274</th>\n",
+       "      <td>51-13168</td>\n",
+       "      <td>510325_JUNE23</td>\n",
+       "      <td>0.321498</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>108-13168</td>\n",
+       "      <td>1080417_JUNE23</td>\n",
+       "      <td>0.312257</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>203</th>\n",
+       "      <td>28-13168</td>\n",
+       "      <td>280634_JUNE23</td>\n",
+       "      <td>0.301458</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>321</th>\n",
+       "      <td>70-13168</td>\n",
+       "      <td>700302_JUNE23</td>\n",
+       "      <td>0.291651</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>324</th>\n",
+       "      <td>720-13168</td>\n",
+       "      <td>7201293_JUNE23</td>\n",
+       "      <td>0.252039</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>147</th>\n",
+       "      <td>222-13168</td>\n",
+       "      <td>2220081_JUNE23</td>\n",
+       "      <td>0.249317</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>56</th>\n",
+       "      <td>125-13168</td>\n",
+       "      <td>1250150_JUNE23</td>\n",
+       "      <td>0.240534</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>109</th>\n",
+       "      <td>18-13168</td>\n",
+       "      <td>180337_JUNE23</td>\n",
+       "      <td>0.232762</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>254</th>\n",
+       "      <td>4-13168</td>\n",
+       "      <td>40330_JUNE23</td>\n",
+       "      <td>0.216359</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>266</th>\n",
+       "      <td>460-13168</td>\n",
+       "      <td>4600205_JUNE23</td>\n",
+       "      <td>0.202816</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>46</th>\n",
+       "      <td>115-13168</td>\n",
+       "      <td>1150442_JUNE23</td>\n",
+       "      <td>0.196068</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>100</th>\n",
+       "      <td>177-13168</td>\n",
+       "      <td>1770041_JUNE23</td>\n",
+       "      <td>0.188112</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>260</th>\n",
+       "      <td>40-13168</td>\n",
+       "      <td>400947_JUNE23</td>\n",
+       "      <td>0.156627</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>306</th>\n",
+       "      <td>62-13168</td>\n",
+       "      <td>620347_JUNE23</td>\n",
+       "      <td>0.141522</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>110-13168</td>\n",
+       "      <td>1100284_JUNE23</td>\n",
+       "      <td>0.141359</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>70</th>\n",
+       "      <td>152-13168</td>\n",
+       "      <td>1520163_JUNE23</td>\n",
+       "      <td>0.137985</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>288</th>\n",
+       "      <td>55-13168</td>\n",
+       "      <td>550290_JUNE23</td>\n",
+       "      <td>0.131606</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>302</th>\n",
+       "      <td>605-13168</td>\n",
+       "      <td>6050045_JUNE23</td>\n",
+       "      <td>0.123064</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>10-13168</td>\n",
+       "      <td>100751_JUNE23</td>\n",
+       "      <td>0.121139</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>278</th>\n",
+       "      <td>51-13168</td>\n",
+       "      <td>510342_JUNE23</td>\n",
+       "      <td>0.098545</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>300</th>\n",
+       "      <td>603-13168</td>\n",
+       "      <td>6030026_JUNE23</td>\n",
+       "      <td>0.090212</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>47</th>\n",
+       "      <td>115-13168</td>\n",
+       "      <td>1150445_JUNE23</td>\n",
+       "      <td>0.079408</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>347</th>\n",
+       "      <td>805</td>\n",
+       "      <td>805EB_190513</td>\n",
+       "      <td>0.073547</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>89</th>\n",
+       "      <td>165-13168</td>\n",
+       "      <td>1650207_JUNE23</td>\n",
+       "      <td>0.069372</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>157</th>\n",
+       "      <td>233-13168</td>\n",
+       "      <td>2330156_JUNE23</td>\n",
+       "      <td>0.061581</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>72</th>\n",
+       "      <td>154-13168</td>\n",
+       "      <td>1540042_JUNE23</td>\n",
+       "      <td>0.039409</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>271</th>\n",
+       "      <td>501-13168</td>\n",
+       "      <td>5010013_JUNE23</td>\n",
+       "      <td>0.037952</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>262</th>\n",
+       "      <td>40-13168</td>\n",
+       "      <td>400949_JUNE23</td>\n",
+       "      <td>0.037253</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>150</th>\n",
+       "      <td>224-13168</td>\n",
+       "      <td>2240271_JUNE23</td>\n",
+       "      <td>0.028583</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>310</th>\n",
+       "      <td>66-13168</td>\n",
+       "      <td>660420_JUNE23</td>\n",
+       "      <td>0.028280</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215</th>\n",
+       "      <td>33-13168</td>\n",
+       "      <td>330654_JUNE23</td>\n",
+       "      <td>0.010921</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>256</th>\n",
+       "      <td>4-13168</td>\n",
+       "      <td>40345_JUNE23</td>\n",
+       "      <td>0.002339</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      route_id         shape_id  p90_difference\n",
+       "280   51-13168    510344_JUNE23       17.608822\n",
+       "348        805     805WB_190513       11.145241\n",
+       "342        802     802WB_190513       11.103630\n",
+       "341        802     802EB_190513       10.504373\n",
+       "291  577-13168   5770040_JUNE23        9.318308\n",
+       "284   53-13168    530240_JUNE23        7.956904\n",
+       "344        803     803WB_120215        7.737499\n",
+       "273   51-13168    510324_JUNE23        7.678630\n",
+       "339        801  801NB_RC_221121        5.241358\n",
+       "346        804  804WB_RC_221121        3.389427\n",
+       "345        804  804EB_RC_221121        3.275685\n",
+       "139  212-13168   2120230_JUNE23        2.930842\n",
+       "311   66-13168    660421_JUNE23        2.892077\n",
+       "285   53-13168    530241_JUNE23        2.717356\n",
+       "323  720-13168   7201278_JUNE23        2.249340\n",
+       "37   111-13168   1110401_JUNE23        2.161038\n",
+       "340        801  801SB_RC_221121        2.125345\n",
+       "90   165-13168   1650208_JUNE23        1.970811\n",
+       "343        803     803EB_120215        1.897613\n",
+       "265  460-13168   4600200_JUNE23        1.869998\n",
+       "349        807     807NB_220810        1.857321\n",
+       "40   111-13168   1110423_JUNE23        1.712616\n",
+       "13   105-13168   1050261_JUNE23        1.625885\n",
+       "80    16-13168    160435_JUNE23        1.515765\n",
+       "42   111-13168   1110427_JUNE23        1.489256\n",
+       "297  601-13168   6010002_JUNE23        1.470744\n",
+       "350        807     807SB_220810        1.395148\n",
+       "357  901-13168   9010054_JUNE23        1.358461\n",
+       "334  761-13168   7610074_JUNE23        1.345373\n",
+       "123  206-13168   2060180_JUNE23        1.308359\n",
+       "221   35-13168    350273_JUNE23        1.298307\n",
+       "269  487-13168   4870124_JUNE23        1.237686\n",
+       "330  754-13168   7540103_JUNE23        1.221909\n",
+       "248       3650            26512        1.185546\n",
+       "322  720-13168   7201275_JUNE23        1.123097\n",
+       "114    2-13168     21124_JUNE23        1.065693\n",
+       "329  754-13168   7540100_JUNE23        1.021511\n",
+       "351   81-13168    810319_JUNE23        0.983131\n",
+       "110   18-13168    180339_JUNE23        0.966541\n",
+       "213   30-13168    300816_JUNE23        0.928976\n",
+       "328  720-13168   7201299_JUNE23        0.927439\n",
+       "325  720-13168   7201296_JUNE23        0.887781\n",
+       "117   20-13168    200801_JUNE23        0.831867\n",
+       "39   111-13168   1110417_JUNE23        0.816518\n",
+       "283   51-13168    510347_JUNE23        0.776240\n",
+       "43   111-13168   1110428_JUNE23        0.763027\n",
+       "326  720-13168   7201297_JUNE23        0.746771\n",
+       "38   111-13168   1110414_JUNE23        0.740132\n",
+       "307   66-13168    660417_JUNE23        0.737124\n",
+       "235       3637            26463        0.724721\n",
+       "51   115-13168   1150537_JUNE23        0.699571\n",
+       "158  233-13168   2330157_JUNE23        0.689547\n",
+       "79    16-13168    160434_JUNE23        0.626378\n",
+       "126  207-13168   2070299_JUNE23        0.623644\n",
+       "264  460-13168   4600199_JUNE23        0.561841\n",
+       "140  212-13168   2120231_JUNE23        0.543471\n",
+       "24   108-13168   1080360_JUNE23        0.542826\n",
+       "48   115-13168   1150530_JUNE23        0.433483\n",
+       "165  236-13168   2360123_JUNE23        0.416887\n",
+       "313  660-13168   6600011_JUNE23        0.409033\n",
+       "204   28-13168    280646_JUNE23        0.408705\n",
+       "275   51-13168    510326_JUNE23        0.408559\n",
+       "364  910-13168   9100212_JUNE23        0.381431\n",
+       "281   51-13168    510345_JUNE23        0.379124\n",
+       "122  206-13168   2060178_JUNE23        0.374014\n",
+       "173  242-13168   2420003_JUNE23        0.342196\n",
+       "274   51-13168    510325_JUNE23        0.321498\n",
+       "27   108-13168   1080417_JUNE23        0.312257\n",
+       "203   28-13168    280634_JUNE23        0.301458\n",
+       "321   70-13168    700302_JUNE23        0.291651\n",
+       "324  720-13168   7201293_JUNE23        0.252039\n",
+       "147  222-13168   2220081_JUNE23        0.249317\n",
+       "56   125-13168   1250150_JUNE23        0.240534\n",
+       "109   18-13168    180337_JUNE23        0.232762\n",
+       "254    4-13168     40330_JUNE23        0.216359\n",
+       "266  460-13168   4600205_JUNE23        0.202816\n",
+       "46   115-13168   1150442_JUNE23        0.196068\n",
+       "100  177-13168   1770041_JUNE23        0.188112\n",
+       "260   40-13168    400947_JUNE23        0.156627\n",
+       "306   62-13168    620347_JUNE23        0.141522\n",
+       "32   110-13168   1100284_JUNE23        0.141359\n",
+       "70   152-13168   1520163_JUNE23        0.137985\n",
+       "288   55-13168    550290_JUNE23        0.131606\n",
+       "302  605-13168   6050045_JUNE23        0.123064\n",
+       "1     10-13168    100751_JUNE23        0.121139\n",
+       "278   51-13168    510342_JUNE23        0.098545\n",
+       "300  603-13168   6030026_JUNE23        0.090212\n",
+       "47   115-13168   1150445_JUNE23        0.079408\n",
+       "347        805     805EB_190513        0.073547\n",
+       "89   165-13168   1650207_JUNE23        0.069372\n",
+       "157  233-13168   2330156_JUNE23        0.061581\n",
+       "72   154-13168   1540042_JUNE23        0.039409\n",
+       "271  501-13168   5010013_JUNE23        0.037952\n",
+       "262   40-13168    400949_JUNE23        0.037253\n",
+       "150  224-13168   2240271_JUNE23        0.028583\n",
+       "310   66-13168    660420_JUNE23        0.028280\n",
+       "215   33-13168    330654_JUNE23        0.010921\n",
+       "256    4-13168     40345_JUNE23        0.002339"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "rt_utils.show_full_df((p90_diffs >> arrange(-_.p90_difference)) >> filter(_.p90_difference > 0))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "e55b76e3-10f3-4afb-bfd8-5de1e95a3743",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>p90_difference</th>\n",
+       "      <th>n</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>274</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.002339</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.010921</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.028280</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.028583</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>94</th>\n",
+       "      <td>9.318308</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>95</th>\n",
+       "      <td>10.504373</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>96</th>\n",
+       "      <td>11.103630</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>97</th>\n",
+       "      <td>11.145241</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>98</th>\n",
+       "      <td>17.608822</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>99 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    p90_difference    n\n",
+       "0         0.000000  274\n",
+       "1         0.002339    1\n",
+       "2         0.010921    1\n",
+       "3         0.028280    1\n",
+       "4         0.028583    1\n",
+       "..             ...  ...\n",
+       "94        9.318308    1\n",
+       "95       10.504373    1\n",
+       "96       11.103630    1\n",
+       "97       11.145241    1\n",
+       "98       17.608822    1\n",
+       "\n",
+       "[99 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "p90_diffs >> count(_.p90_difference)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cfbb866a-797b-4f68-bd34-9f124d545f9e",
+   "metadata": {},
+   "source": [
+    "# Conclusion\n",
+    "\n",
+    "* `rt_delay` and post-interpolation `rt_segment_speeds` results are now substantially in alignment\n",
+    "* Accuracy is no longer a blocker to publishing/promoting this data\n",
+    "* Speedmaps could be transitioned with a few more steps, for example by\n",
+    "    * porting the \"virtual segments\" approach for long stop spacings into a version of `rt_segment_speeds`\n",
+    "    * deprecating `rt_analysis.rt_parser`\n",
+    "    * reworking `rt_analysis.rt_filter_map_plot` and associated `RtFilterMapper` class to provide an interface to `rt_segment speeds`\n",
+    "* Routes highlighted above could be investigated further to understand remaining discrepancies "
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {},
+    "version_major": 2,
+    "version_minor": 0
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}