From 77a533fa064f19e399dcc8fd79939bb55b51bf05 Mon Sep 17 00:00:00 2001
From: Yun <infoforreview@gmail.com>
Date: Sat, 28 Sep 2019 21:12:59 -0500
Subject: [PATCH] added changes

---
 README.md                                     |   2 +-
 ...to-Matplotlib-and-Line-Plots-py-v2.0.ipynb | 104 +-----
 ...ts-Histograms-and-Bar-Charts-py-v2.0.ipynb | 302 +-----------------
 3 files changed, 5 insertions(+), 403 deletions(-)

diff --git a/README.md b/README.md
index a3018bd..3201d1a 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
 # IMB-Data-Visualization-With-Python
 
-## My data visualization projects using pandas and matplotlib, seaborn, and Folium.
+## My data visualization projects using pandas, matplotlib, seaborn, and Folium.
 
 Objective: enhance my skills in advanced data visualization. 
 
diff --git a/Yun-1-1-1-Introduction-to-Matplotlib-and-Line-Plots-py-v2.0.ipynb b/Yun-1-1-1-Introduction-to-Matplotlib-and-Line-Plots-py-v2.0.ipynb
index b1a8154..493a627 100644
--- a/Yun-1-1-1-Introduction-to-Matplotlib-and-Line-Plots-py-v2.0.ipynb
+++ b/Yun-1-1-1-Introduction-to-Matplotlib-and-Line-Plots-py-v2.0.ipynb
@@ -1,20 +1,5 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "button": false,
-    "new_sheet": false,
-    "run_control": {
-     "read_only": false
-    }
-   },
-   "source": [
-    "<a href=\"https://cognitiveclass.ai\"><img src = \"https://ibm.box.com/shared/static/9gegpsmnsoo25ikkbl4qzlvlyjbgxs5x.png\" width = 400> </a>\n",
-    "\n",
-    "<h1 align=center><font size = 5>Introduction to Matplotlib and Line Plots</font></h1>"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -37,49 +22,6 @@
     "------------"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "button": false,
-    "new_sheet": false,
-    "run_control": {
-     "read_only": false
-    }
-   },
-   "source": [
-    "## Table of Contents\n",
-    "\n",
-    "<div class=\"alert alert-block alert-info\" style=\"margin-top: 20px\">\n",
-    "\n",
-    "1. [Exploring Datasets with *pandas*](#0)<br>\n",
-    "1.1 [The Dataset: Immigration to Canada from 1980 to 2013](#2)<br>\n",
-    "1.2 [*pandas* Basics](#4) <br>\n",
-    "1.3 [*pandas* Intermediate: Indexing and Selection](#6) <br>\n",
-    "2. [Visualizing Data using Matplotlib](#8) <br>\n",
-    "2.1 [Matplotlib: Standard Python Visualization Library](#10) <br>\n",
-    "3. [Line Plots](#12)\n",
-    "</div>\n",
-    "<hr>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "button": false,
-    "new_sheet": false,
-    "run_control": {
-     "read_only": false
-    }
-   },
-   "source": [
-    "# Exploring Datasets with *pandas* <a id=\"0\"></a>\n",
-    "\n",
-    "*pandas* is an essential data analysis toolkit for Python. From their [website](http://pandas.pydata.org/):\n",
-    ">*pandas* is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, **real world** data analysis in Python.\n",
-    "\n",
-    "The course heavily relies on *pandas* for data wrangling, analysis, and visualization. We encourage you to spend some time and  familizare yourself with the *pandas* API Reference: http://pandas.pydata.org/pandas-docs/stable/api.html."
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -4948,6 +4890,7 @@
    "execution_count": 88,
    "metadata": {
     "button": false,
+    "collapsed": true,
     "jupyter": {
      "outputs_hidden": false
     },
@@ -6127,51 +6070,6 @@
     "* `scatter` for scatter plots\n",
     "* `hexbin` for hexbin plot"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "button": false,
-    "new_sheet": false,
-    "run_control": {
-     "read_only": false
-    }
-   },
-   "source": [
-    "### Thank you for completing this lab!\n",
-    "\n",
-    "This notebook was originally created by [Jay Rajasekharan](https://www.linkedin.com/in/jayrajasekharan) with contributions from [Ehsan M. Kermani](https://www.linkedin.com/in/ehsanmkermani), and [Slobodan Markovic](https://www.linkedin.com/in/slobodan-markovic).\n",
-    "\n",
-    "This notebook was recently revised by [Alex Aklson](https://www.linkedin.com/in/aklson/). I hope you found this lab session interesting. Feel free to contact me if you have any questions!"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "button": false,
-    "new_sheet": false,
-    "run_control": {
-     "read_only": false
-    }
-   },
-   "source": [
-    "This notebook is part of a course on **Coursera** called *Data Visualization with Python*. If you accessed this notebook outside the course, you can take this course online by clicking [here](http://cocl.us/DV0101EN_Coursera_Week1_LAB1)."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "button": false,
-    "new_sheet": false,
-    "run_control": {
-     "read_only": false
-    }
-   },
-   "source": [
-    "<hr>\n",
-    "\n",
-    "Copyright &copy; 2019 [Cognitive Class](https://cognitiveclass.ai/?utm_source=bducopyrightlink&utm_medium=dswb&utm_campaign=bdu). This notebook and its source code are released under the terms of the [MIT License](https://bigdatauniversity.com/mit-license/)."
-   ]
   }
  ],
  "metadata": {
diff --git a/Yun-2-2-1-Area-Plots-Histograms-and-Bar-Charts-py-v2.0.ipynb b/Yun-2-2-1-Area-Plots-Histograms-and-Bar-Charts-py-v2.0.ipynb
index ab481c4..e80e6f7 100644
--- a/Yun-2-2-1-Area-Plots-Histograms-and-Bar-Charts-py-v2.0.ipynb
+++ b/Yun-2-2-1-Area-Plots-Histograms-and-Bar-Charts-py-v2.0.ipynb
@@ -4,25 +4,6 @@
    "cell_type": "markdown",
    "metadata": {
     "button": false,
-    "deletable": true,
-    "editable": true,
-    "new_sheet": false,
-    "run_control": {
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-   },
-   "source": [
-    "<a href=\"https://cognitiveclass.ai\"><img src = \"https://ibm.box.com/shared/static/9gegpsmnsoo25ikkbl4qzlvlyjbgxs5x.png\" width = 400> </a>\n",
-    "\n",
-    "<h1 align=center><font size = 5>Area Plots, Histograms, and Bar Plots</font></h1>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "button": false,
-    "deletable": true,
-    "editable": true,
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@@ -38,34 +19,6 @@
    "cell_type": "markdown",
    "metadata": {
     "button": false,
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-    "editable": true,
-    "new_sheet": false,
-    "run_control": {
-     "read_only": false
-    }
-   },
-   "source": [
-    "## Table of Contents\n",
-    "\n",
-    "<div class=\"alert alert-block alert-info\" style=\"margin-top: 20px\">\n",
-    "\n",
-    "1. [Exploring Datasets with *pandas*](#0)<br>\n",
-    "2. [Downloading and Prepping Data](#2)<br>\n",
-    "3. [Visualizing Data using Matplotlib](#4) <br>\n",
-    "4. [Area Plots](#6) <br>\n",
-    "5. [Histograms](#8) <br>\n",
-    "6. [Bar Charts](#10) <br>\n",
-    "</div>\n",
-    "<hr>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
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@@ -3534,8 +3327,6 @@
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@@ -3753,9 +3534,6 @@
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@@ -3792,9 +3570,6 @@
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@@ -3928,9 +3696,6 @@
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@@ -4003,8 +3766,6 @@
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@@ -4087,8 +3846,6 @@
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@@ -4106,7 +3863,6 @@
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@@ -4183,7 +3939,6 @@
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@@ -4211,64 +3966,13 @@
     "plt.show()\n",
     "-->"
    ]
-  },
-  {
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-   },
-   "source": [
-    "### Thank you for completing this lab!\n",
-    "\n",
-    "This notebook was originally created by [Jay Rajasekharan](https://www.linkedin.com/in/jayrajasekharan) with contributions from [Ehsan M. Kermani](https://www.linkedin.com/in/ehsanmkermani), and [Slobodan Markovic](https://www.linkedin.com/in/slobodan-markovic).\n",
-    "\n",
-    "This notebook was recently revamped by [Alex Aklson](https://www.linkedin.com/in/aklson/). I hope you found this lab session interesting. Feel free to contact me if you have any questions!"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
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-   },
-   "source": [
-    "This notebook is part of a course on **Coursera** called *Data Visualization with Python*. If you accessed this notebook outside the course, you can take this course online by clicking [here](http://cocl.us/DV0101EN_Coursera_Week2_LAB1)."
-   ]
-  },
-  {
-   "cell_type": "markdown",
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-    }
-   },
-   "source": [
-    "<hr>\n",
-    "\n",
-    "Copyright &copy; 2019 [Cognitive Class](https://cognitiveclass.ai/?utm_source=bducopyrightlink&utm_medium=dswb&utm_campaign=bdu). This notebook and its source code are released under the terms of the [MIT License](https://bigdatauniversity.com/mit-license/)."
-   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "conda-env-python-py"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -4280,7 +3984,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.7"
+   "version": "3.6.3"
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