Data_Visualization_Charts.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "051b104f",
   "metadata": {},
   "source": [
    "**By Gaurav Nagpal**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "826a3297",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Import Python libraries\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pylab as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2962ade6",
   "metadata": {},
   "outputs": [],
   "source": [
    "ApplianceShipments_df = pd.read_csv('ApplianceShipments.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c70f7436",
   "metadata": {},
   "outputs": [],
   "source": [
    "ApplianceShipments_df = ApplianceShipments_df.iloc[0:,1:2]\n",
    "date_range = pd.date_range(start='1/1/1985', end='12/31/1989', freq='Q')\n",
    "ApplianceShipments_df['Date'] = pd.to_datetime(date_range)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3e03caeb",
   "metadata": {},
   "outputs": [],
   "source": [
    "Shipments_ts = pd.Series(ApplianceShipments_df.Shipments.values,index=ApplianceShipments_df.Date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "4bbc9dde",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Shipments')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Shipments_ts.plot(ylim=[3000, 5500], legend=False)\n",
    "plt.xlabel('Year') # set x-axis label\n",
    "plt.ylabel('Shipments') # set y-axis label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f789a0ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "RidingMowers_df = pd.read_csv('RidingMowers.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6c04ea70",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = RidingMowers_df.plot.scatter(x='Income', y='Lot_Size',figsize=(6, 6),color='Red')\n",
    "points = RidingMowers_df[['Income','Lot_Size','Ownership']]\n",
    "_ = points.apply(lambda x:ax.text(*x, rotation=20, horizontalalignment='left',\n",
    "verticalalignment='bottom', fontsize=8),\n",
    "axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "033b5b68",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Lot_Size')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(RidingMowers_df.Income, RidingMowers_df.Lot_Size, color='Green')\n",
    "plt.xlabel('Income'); plt.ylabel('Lot_Size')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c42ae270",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}