Data-Visualisation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataSet=pd.read_csv(\"Filtered_Quotes(0-1500).csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=np.array(dataSet)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "cats=[]\n",
    "for item in data[:,0]:\n",
    "    cats.extend(item.split(','))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "cats=np.unique(cats)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "allScores={}\n",
    "for cat in cats:\n",
    "    score=0\n",
    "    for sample in data[:,0]:\n",
    "        if cat in sample.split(','):\n",
    "            score+=1\n",
    "    allScores[cat]=score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "objects = tuple(allScores.keys())\n",
    "y_pos = np.arange(len(objects))\n",
    "performance = list(allScores.values())\n",
    "\n",
    "plt.barh(y_pos, performance, align='center')\n",
    "plt.yticks(y_pos, objects)\n",
    "plt.xlabel('Usage')\n",
    "plt.title('Programming language usage')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}