{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Import"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "#Please adjust to your file\n",
    "df=pd.read_excel(\"/Users/davidmika/Desktop/First.xlsx\",\"Sheet1\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Scatter Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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VTSyCfTbeWunVPhtrLfT5K5lZ95ub2iLo14KIGMrMnlb3UY99Nt5a6dU+G2ut9LkYDt1I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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112c21a10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure()\n",
    "ax = fig.add_subplot(1,1,1)\n",
    "#Change variables here\n",
    "ax.scatter(df['Age'], df['Sales'])\n",
    "#Show scatter plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}