{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#your id here 6304640961"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exam Instruction EE522 Fall 2022:\n",
    "    \n",
    "1. Answer all of the following questions. Each answer should be thorough, complete, and relevant. Points will be deducted for irrelevant details. Use the back of the pages if you need more room for your answer.\n",
    "\n",
    "2. The points are a clue about how much time you should spend on each question. Plan your time accordingly.\n",
    "\n",
    "3. There are 3 questions. The total score is 100 points accounted for 25 percent of the total scores.\n",
    "\n",
    "4. Exam Date and time: October 1, 2022 from 1-4 pm. \n",
    "\n",
    "\n",
    "5. You have to submit (1) the Jupiter Notebook code (.ipynp) with the name: your student id.ipynp i.e 6504610069.ipynp \n",
    "\n",
    "6. You have to submit your code on BE-moodle.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 1 [50 points]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Set Information:\n",
    "\n",
    "Bike sharing systems are new generation of traditional bike rentals where whole process from membership, rental and return back has become automatic. Through these systems, user is able to easily rent a bike from a particular position and return back at another position. Currently, there are about over 500 bike-sharing programs around the world which is composed of over 500 thousands bicycles. Today, there exists great interest in these systems due to their important role in traffic, environmental and health issues. \n",
    "\n",
    "Apart from interesting real world applications of bike sharing systems, the characteristics of data being generated by these systems make them attractive for the research. Opposed to other transport services such as bus or subway, the duration of travel, departure and arrival position is explicitly recorded in these systems. This feature turns bike sharing system into a virtual sensor network that can be used for sensing mobility in the city. Hence, it is expected that most of important events in the city could be detected via monitoring these data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dataset characteristics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\t\n",
    "=========================================\n",
    "Dataset characteristics\n",
    "======================\t\n",
    "hour.csv has the following fields:\n",
    "\t\n",
    "\t- instant: record index\n",
    "\t- dteday : date\n",
    "\t- season : season (1:springer, 2:summer, 3:fall, 4:winter)\n",
    "\t- yr : year (0: 2011, 1:2012)\n",
    "\t- mnth : month ( 1 to 12)\n",
    "\t- hr : hour (0 to 23)\n",
    "\t- holiday : weather day is holiday or not (extracted from http://dchr.dc.gov/page/holiday-schedule)\n",
    "\t- weekday : day of the week\n",
    "\t- workingday : if day is neither weekend nor holiday is 1, otherwise is 0.\n",
    "\t+ weathersit : \n",
    "\t\t- 1: Clear, Few clouds, Partly cloudy, Partly cloudy\n",
    "\t\t- 2: Mist + Cloudy, Mist + Broken clouds, Mist + Few clouds, Mist\n",
    "\t\t- 3: Light Snow, Light Rain + Thunderstorm + Scattered clouds, Light Rain + Scattered clouds\n",
    "\t\t- 4: Heavy Rain + Ice Pallets + Thunderstorm + Mist, Snow + Fog\n",
    "\t- temp : Normalized temperature in Celsius. The values are divided to 41 (max)\n",
    "\t- atemp: Normalized feeling temperature in Celsius. The values are divided to 50 (max)\n",
    "\t- hum: Normalized humidity. The values are divided to 100 (max)\n",
    "\t- windspeed: Normalized wind speed. The values are divided to 67 (max)\n",
    "\t- casual: count of casual users\n",
    "\t- registered: count of registered users\n",
    "\t- cnt: count of total rental bikes including both casual and registered"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 1.1 :"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the scatter plots to visualize the relationship between temp and target values (cnt). Then, plot the heatmap to represent the correlation matrix between features and target values.\n",
    "\n",
    "Also, calculate the median of cout of total bikes (cnt) separated by weathersit, season ,and holiday. Is there any interesting thing you found? Explain carefully.\n",
    "\n",
    "\n",
    "[20 Points]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "%matplotlib inline\n",
    "# activate plot theme\n",
    "import qeds\n",
    "\n",
    "qeds.themes.mpl_style();\n",
    "plotly_template = qeds.themes.plotly_template()\n",
    "colors = qeds.themes.COLOR_CYCLE\n",
    "\n",
    "# We will import all these here to ensure that they are loaded, but\n",
    "# will usually re-import close to where they are used to make clear\n",
    "# where the functions come from\n",
    "from sklearn import (linear_model, metrics, model_selection)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('hour.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#scatter plot\n",
    "def var_scatter(df, ax=None, var=\"cnt\"):\n",
    "    if ax is None:\n",
    "        _, ax = plt.subplots(figsize=(8, 6))\n",
    "    df.plot.scatter(x=var , y=\"temp\",alpha=0.1, s=1.5, ax=ax)\n",
    "\n",
    "    return ax\n",
    "\n",
    "var_scatter(df);\n",
    "plt.savefig(\"temp_cnt_scatter.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>instant</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>hr</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>instant</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.404046</td>\n",
       "      <td>0.866014</td>\n",
       "      <td>0.489164</td>\n",
       "      <td>-0.004775</td>\n",
       "      <td>0.014723</td>\n",
       "      <td>0.001357</td>\n",
       "      <td>-0.003416</td>\n",
       "      <td>-0.014198</td>\n",
       "      <td>0.136178</td>\n",
       "      <td>0.137615</td>\n",
       "      <td>0.009577</td>\n",
       "      <td>-0.074505</td>\n",
       "      <td>0.158295</td>\n",
       "      <td>0.282046</td>\n",
       "      <td>0.278379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>season</th>\n",
       "      <td>0.404046</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.010742</td>\n",
       "      <td>0.830386</td>\n",
       "      <td>-0.006117</td>\n",
       "      <td>-0.009585</td>\n",
       "      <td>-0.002335</td>\n",
       "      <td>0.013743</td>\n",
       "      <td>-0.014524</td>\n",
       "      <td>0.312025</td>\n",
       "      <td>0.319380</td>\n",
       "      <td>0.150625</td>\n",
       "      <td>-0.149773</td>\n",
       "      <td>0.120206</td>\n",
       "      <td>0.174226</td>\n",
       "      <td>0.178056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>yr</th>\n",
       "      <td>0.866014</td>\n",
       "      <td>-0.010742</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.010473</td>\n",
       "      <td>-0.003867</td>\n",
       "      <td>0.006692</td>\n",
       "      <td>-0.004485</td>\n",
       "      <td>-0.002196</td>\n",
       "      <td>-0.019157</td>\n",
       "      <td>0.040913</td>\n",
       "      <td>0.039222</td>\n",
       "      <td>-0.083546</td>\n",
       "      <td>-0.008740</td>\n",
       "      <td>0.142779</td>\n",
       "      <td>0.253684</td>\n",
       "      <td>0.250495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mnth</th>\n",
       "      <td>0.489164</td>\n",
       "      <td>0.830386</td>\n",
       "      <td>-0.010473</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.005772</td>\n",
       "      <td>0.018430</td>\n",
       "      <td>0.010400</td>\n",
       "      <td>-0.003477</td>\n",
       "      <td>0.005400</td>\n",
       "      <td>0.201691</td>\n",
       "      <td>0.208096</td>\n",
       "      <td>0.164411</td>\n",
       "      <td>-0.135386</td>\n",
       "      <td>0.068457</td>\n",
       "      <td>0.122273</td>\n",
       "      <td>0.120638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hr</th>\n",
       "      <td>-0.004775</td>\n",
       "      <td>-0.006117</td>\n",
       "      <td>-0.003867</td>\n",
       "      <td>-0.005772</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000479</td>\n",
       "      <td>-0.003498</td>\n",
       "      <td>0.002285</td>\n",
       "      <td>-0.020203</td>\n",
       "      <td>0.137603</td>\n",
       "      <td>0.133750</td>\n",
       "      <td>-0.276498</td>\n",
       "      <td>0.137252</td>\n",
       "      <td>0.301202</td>\n",
       "      <td>0.374141</td>\n",
       "      <td>0.394071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>holiday</th>\n",
       "      <td>0.014723</td>\n",
       "      <td>-0.009585</td>\n",
       "      <td>0.006692</td>\n",
       "      <td>0.018430</td>\n",
       "      <td>0.000479</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.102088</td>\n",
       "      <td>-0.252471</td>\n",
       "      <td>-0.017036</td>\n",
       "      <td>-0.027340</td>\n",
       "      <td>-0.030973</td>\n",
       "      <td>-0.010588</td>\n",
       "      <td>0.003988</td>\n",
       "      <td>0.031564</td>\n",
       "      <td>-0.047345</td>\n",
       "      <td>-0.030927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weekday</th>\n",
       "      <td>0.001357</td>\n",
       "      <td>-0.002335</td>\n",
       "      <td>-0.004485</td>\n",
       "      <td>0.010400</td>\n",
       "      <td>-0.003498</td>\n",
       "      <td>-0.102088</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.035955</td>\n",
       "      <td>0.003311</td>\n",
       "      <td>-0.001795</td>\n",
       "      <td>-0.008821</td>\n",
       "      <td>-0.037158</td>\n",
       "      <td>0.011502</td>\n",
       "      <td>0.032721</td>\n",
       "      <td>0.021578</td>\n",
       "      <td>0.026900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>workingday</th>\n",
       "      <td>-0.003416</td>\n",
       "      <td>0.013743</td>\n",
       "      <td>-0.002196</td>\n",
       "      <td>-0.003477</td>\n",
       "      <td>0.002285</td>\n",
       "      <td>-0.252471</td>\n",
       "      <td>0.035955</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.044672</td>\n",
       "      <td>0.055390</td>\n",
       "      <td>0.054667</td>\n",
       "      <td>0.015688</td>\n",
       "      <td>-0.011830</td>\n",
       "      <td>-0.300942</td>\n",
       "      <td>0.134326</td>\n",
       "      <td>0.030284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weathersit</th>\n",
       "      <td>-0.014198</td>\n",
       "      <td>-0.014524</td>\n",
       "      <td>-0.019157</td>\n",
       "      <td>0.005400</td>\n",
       "      <td>-0.020203</td>\n",
       "      <td>-0.017036</td>\n",
       "      <td>0.003311</td>\n",
       "      <td>0.044672</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.102640</td>\n",
       "      <td>-0.105563</td>\n",
       "      <td>0.418130</td>\n",
       "      <td>0.026226</td>\n",
       "      <td>-0.152628</td>\n",
       "      <td>-0.120966</td>\n",
       "      <td>-0.142426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>temp</th>\n",
       "      <td>0.136178</td>\n",
       "      <td>0.312025</td>\n",
       "      <td>0.040913</td>\n",
       "      <td>0.201691</td>\n",
       "      <td>0.137603</td>\n",
       "      <td>-0.027340</td>\n",
       "      <td>-0.001795</td>\n",
       "      <td>0.055390</td>\n",
       "      <td>-0.102640</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.987672</td>\n",
       "      <td>-0.069881</td>\n",
       "      <td>-0.023125</td>\n",
       "      <td>0.459616</td>\n",
       "      <td>0.335361</td>\n",
       "      <td>0.404772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>atemp</th>\n",
       "      <td>0.137615</td>\n",
       "      <td>0.319380</td>\n",
       "      <td>0.039222</td>\n",
       "      <td>0.208096</td>\n",
       "      <td>0.133750</td>\n",
       "      <td>-0.030973</td>\n",
       "      <td>-0.008821</td>\n",
       "      <td>0.054667</td>\n",
       "      <td>-0.105563</td>\n",
       "      <td>0.987672</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.051918</td>\n",
       "      <td>-0.062336</td>\n",
       "      <td>0.454080</td>\n",
       "      <td>0.332559</td>\n",
       "      <td>0.400929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hum</th>\n",
       "      <td>0.009577</td>\n",
       "      <td>0.150625</td>\n",
       "      <td>-0.083546</td>\n",
       "      <td>0.164411</td>\n",
       "      <td>-0.276498</td>\n",
       "      <td>-0.010588</td>\n",
       "      <td>-0.037158</td>\n",
       "      <td>0.015688</td>\n",
       "      <td>0.418130</td>\n",
       "      <td>-0.069881</td>\n",
       "      <td>-0.051918</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.290105</td>\n",
       "      <td>-0.347028</td>\n",
       "      <td>-0.273933</td>\n",
       "      <td>-0.322911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>windspeed</th>\n",
       "      <td>-0.074505</td>\n",
       "      <td>-0.149773</td>\n",
       "      <td>-0.008740</td>\n",
       "      <td>-0.135386</td>\n",
       "      <td>0.137252</td>\n",
       "      <td>0.003988</td>\n",
       "      <td>0.011502</td>\n",
       "      <td>-0.011830</td>\n",
       "      <td>0.026226</td>\n",
       "      <td>-0.023125</td>\n",
       "      <td>-0.062336</td>\n",
       "      <td>-0.290105</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.090287</td>\n",
       "      <td>0.082321</td>\n",
       "      <td>0.093234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>casual</th>\n",
       "      <td>0.158295</td>\n",
       "      <td>0.120206</td>\n",
       "      <td>0.142779</td>\n",
       "      <td>0.068457</td>\n",
       "      <td>0.301202</td>\n",
       "      <td>0.031564</td>\n",
       "      <td>0.032721</td>\n",
       "      <td>-0.300942</td>\n",
       "      <td>-0.152628</td>\n",
       "      <td>0.459616</td>\n",
       "      <td>0.454080</td>\n",
       "      <td>-0.347028</td>\n",
       "      <td>0.090287</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.506618</td>\n",
       "      <td>0.694564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>registered</th>\n",
       "      <td>0.282046</td>\n",
       "      <td>0.174226</td>\n",
       "      <td>0.253684</td>\n",
       "      <td>0.122273</td>\n",
       "      <td>0.374141</td>\n",
       "      <td>-0.047345</td>\n",
       "      <td>0.021578</td>\n",
       "      <td>0.134326</td>\n",
       "      <td>-0.120966</td>\n",
       "      <td>0.335361</td>\n",
       "      <td>0.332559</td>\n",
       "      <td>-0.273933</td>\n",
       "      <td>0.082321</td>\n",
       "      <td>0.506618</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.972151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cnt</th>\n",
       "      <td>0.278379</td>\n",
       "      <td>0.178056</td>\n",
       "      <td>0.250495</td>\n",
       "      <td>0.120638</td>\n",
       "      <td>0.394071</td>\n",
       "      <td>-0.030927</td>\n",
       "      <td>0.026900</td>\n",
       "      <td>0.030284</td>\n",
       "      <td>-0.142426</td>\n",
       "      <td>0.404772</td>\n",
       "      <td>0.400929</td>\n",
       "      <td>-0.322911</td>\n",
       "      <td>0.093234</td>\n",
       "      <td>0.694564</td>\n",
       "      <td>0.972151</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             instant    season        yr      mnth        hr   holiday  \\\n",
       "instant     1.000000  0.404046  0.866014  0.489164 -0.004775  0.014723   \n",
       "season      0.404046  1.000000 -0.010742  0.830386 -0.006117 -0.009585   \n",
       "yr          0.866014 -0.010742  1.000000 -0.010473 -0.003867  0.006692   \n",
       "mnth        0.489164  0.830386 -0.010473  1.000000 -0.005772  0.018430   \n",
       "hr         -0.004775 -0.006117 -0.003867 -0.005772  1.000000  0.000479   \n",
       "holiday     0.014723 -0.009585  0.006692  0.018430  0.000479  1.000000   \n",
       "weekday     0.001357 -0.002335 -0.004485  0.010400 -0.003498 -0.102088   \n",
       "workingday -0.003416  0.013743 -0.002196 -0.003477  0.002285 -0.252471   \n",
       "weathersit -0.014198 -0.014524 -0.019157  0.005400 -0.020203 -0.017036   \n",
       "temp        0.136178  0.312025  0.040913  0.201691  0.137603 -0.027340   \n",
       "atemp       0.137615  0.319380  0.039222  0.208096  0.133750 -0.030973   \n",
       "hum         0.009577  0.150625 -0.083546  0.164411 -0.276498 -0.010588   \n",
       "windspeed  -0.074505 -0.149773 -0.008740 -0.135386  0.137252  0.003988   \n",
       "casual      0.158295  0.120206  0.142779  0.068457  0.301202  0.031564   \n",
       "registered  0.282046  0.174226  0.253684  0.122273  0.374141 -0.047345   \n",
       "cnt         0.278379  0.178056  0.250495  0.120638  0.394071 -0.030927   \n",
       "\n",
       "             weekday  workingday  weathersit      temp     atemp       hum  \\\n",
       "instant     0.001357   -0.003416   -0.014198  0.136178  0.137615  0.009577   \n",
       "season     -0.002335    0.013743   -0.014524  0.312025  0.319380  0.150625   \n",
       "yr         -0.004485   -0.002196   -0.019157  0.040913  0.039222 -0.083546   \n",
       "mnth        0.010400   -0.003477    0.005400  0.201691  0.208096  0.164411   \n",
       "hr         -0.003498    0.002285   -0.020203  0.137603  0.133750 -0.276498   \n",
       "holiday    -0.102088   -0.252471   -0.017036 -0.027340 -0.030973 -0.010588   \n",
       "weekday     1.000000    0.035955    0.003311 -0.001795 -0.008821 -0.037158   \n",
       "workingday  0.035955    1.000000    0.044672  0.055390  0.054667  0.015688   \n",
       "weathersit  0.003311    0.044672    1.000000 -0.102640 -0.105563  0.418130   \n",
       "temp       -0.001795    0.055390   -0.102640  1.000000  0.987672 -0.069881   \n",
       "atemp      -0.008821    0.054667   -0.105563  0.987672  1.000000 -0.051918   \n",
       "hum        -0.037158    0.015688    0.418130 -0.069881 -0.051918  1.000000   \n",
       "windspeed   0.011502   -0.011830    0.026226 -0.023125 -0.062336 -0.290105   \n",
       "casual      0.032721   -0.300942   -0.152628  0.459616  0.454080 -0.347028   \n",
       "registered  0.021578    0.134326   -0.120966  0.335361  0.332559 -0.273933   \n",
       "cnt         0.026900    0.030284   -0.142426  0.404772  0.400929 -0.322911   \n",
       "\n",
       "            windspeed    casual  registered       cnt  \n",
       "instant     -0.074505  0.158295    0.282046  0.278379  \n",
       "season      -0.149773  0.120206    0.174226  0.178056  \n",
       "yr          -0.008740  0.142779    0.253684  0.250495  \n",
       "mnth        -0.135386  0.068457    0.122273  0.120638  \n",
       "hr           0.137252  0.301202    0.374141  0.394071  \n",
       "holiday      0.003988  0.031564   -0.047345 -0.030927  \n",
       "weekday      0.011502  0.032721    0.021578  0.026900  \n",
       "workingday  -0.011830 -0.300942    0.134326  0.030284  \n",
       "weathersit   0.026226 -0.152628   -0.120966 -0.142426  \n",
       "temp        -0.023125  0.459616    0.335361  0.404772  \n",
       "atemp       -0.062336  0.454080    0.332559  0.400929  \n",
       "hum         -0.290105 -0.347028   -0.273933 -0.322911  \n",
       "windspeed    1.000000  0.090287    0.082321  0.093234  \n",
       "casual       0.090287  1.000000    0.506618  0.694564  \n",
       "registered   0.082321  0.506618    1.000000  0.972151  \n",
       "cnt          0.093234  0.694564    0.972151  1.000000  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "correlation_data = df.corr()  \n",
    "correlation_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#heat map\n",
    "\n",
    "_,ax=plt.subplots(figsize=(15,10))\n",
    "colormap=sns.diverging_palette(220,10,as_cmap=True)\n",
    "sns.heatmap(df.corr(),annot=True,cmap=colormap)\n",
    "plt.savefig(\"correlation_bike.jpeg\") "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From a scatter plot, we can see that registered users have the highest correlations in absolute value compared to other features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "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>instant</th>\n",
       "      <th>dteday</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>hr</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.2879</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.2727</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>8</td>\n",
       "      <td>32</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.2727</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>5</td>\n",
       "      <td>27</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.2879</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.2879</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17374</th>\n",
       "      <td>17375</td>\n",
       "      <td>2012-12-31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.2576</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.1642</td>\n",
       "      <td>11</td>\n",
       "      <td>108</td>\n",
       "      <td>119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17375</th>\n",
       "      <td>17376</td>\n",
       "      <td>2012-12-31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.2576</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.1642</td>\n",
       "      <td>8</td>\n",
       "      <td>81</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17376</th>\n",
       "      <td>17377</td>\n",
       "      <td>2012-12-31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.2576</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.1642</td>\n",
       "      <td>7</td>\n",
       "      <td>83</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17377</th>\n",
       "      <td>17378</td>\n",
       "      <td>2012-12-31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.2727</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.1343</td>\n",
       "      <td>13</td>\n",
       "      <td>48</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17378</th>\n",
       "      <td>17379</td>\n",
       "      <td>2012-12-31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.2727</td>\n",
       "      <td>0.65</td>\n",
       "      <td>0.1343</td>\n",
       "      <td>12</td>\n",
       "      <td>37</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>17379 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       instant      dteday  season  yr  mnth  hr  holiday  weekday  \\\n",
       "0            1  2011-01-01       1   0     1   0        0        6   \n",
       "1            2  2011-01-01       1   0     1   1        0        6   \n",
       "2            3  2011-01-01       1   0     1   2        0        6   \n",
       "3            4  2011-01-01       1   0     1   3        0        6   \n",
       "4            5  2011-01-01       1   0     1   4        0        6   \n",
       "...        ...         ...     ...  ..   ...  ..      ...      ...   \n",
       "17374    17375  2012-12-31       1   1    12  19        0        1   \n",
       "17375    17376  2012-12-31       1   1    12  20        0        1   \n",
       "17376    17377  2012-12-31       1   1    12  21        0        1   \n",
       "17377    17378  2012-12-31       1   1    12  22        0        1   \n",
       "17378    17379  2012-12-31       1   1    12  23        0        1   \n",
       "\n",
       "       workingday  weathersit  temp   atemp   hum  windspeed  casual  \\\n",
       "0               0           1  0.24  0.2879  0.81     0.0000       3   \n",
       "1               0           1  0.22  0.2727  0.80     0.0000       8   \n",
       "2               0           1  0.22  0.2727  0.80     0.0000       5   \n",
       "3               0           1  0.24  0.2879  0.75     0.0000       3   \n",
       "4               0           1  0.24  0.2879  0.75     0.0000       0   \n",
       "...           ...         ...   ...     ...   ...        ...     ...   \n",
       "17374           1           2  0.26  0.2576  0.60     0.1642      11   \n",
       "17375           1           2  0.26  0.2576  0.60     0.1642       8   \n",
       "17376           1           1  0.26  0.2576  0.60     0.1642       7   \n",
       "17377           1           1  0.26  0.2727  0.56     0.1343      13   \n",
       "17378           1           1  0.26  0.2727  0.65     0.1343      12   \n",
       "\n",
       "       registered  cnt  \n",
       "0              13   16  \n",
       "1              32   40  \n",
       "2              27   32  \n",
       "3              10   13  \n",
       "4               1    1  \n",
       "...           ...  ...  \n",
       "17374         108  119  \n",
       "17375          81   89  \n",
       "17376          83   90  \n",
       "17377          48   61  \n",
       "17378          37   49  \n",
       "\n",
       "[17379 rows x 17 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 17379 entries, 0 to 17378\n",
      "Data columns (total 17 columns):\n",
      " #   Column      Non-Null Count  Dtype  \n",
      "---  ------      --------------  -----  \n",
      " 0   instant     17379 non-null  int64  \n",
      " 1   dteday      17379 non-null  object \n",
      " 2   season      17379 non-null  int64  \n",
      " 3   yr          17379 non-null  int64  \n",
      " 4   mnth        17379 non-null  int64  \n",
      " 5   hr          17379 non-null  int64  \n",
      " 6   holiday     17379 non-null  int64  \n",
      " 7   weekday     17379 non-null  int64  \n",
      " 8   workingday  17379 non-null  int64  \n",
      " 9   weathersit  17379 non-null  int64  \n",
      " 10  temp        17379 non-null  float64\n",
      " 11  atemp       17379 non-null  float64\n",
      " 12  hum         17379 non-null  float64\n",
      " 13  windspeed   17379 non-null  float64\n",
      " 14  casual      17379 non-null  int64  \n",
      " 15  registered  17379 non-null  int64  \n",
      " 16  cnt         17379 non-null  int64  \n",
      "dtypes: float64(4), int64(12), object(1)\n",
      "memory usage: 2.3+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 17379 entries, 0 to 17378\n",
      "Data columns (total 15 columns):\n",
      " #   Column      Non-Null Count  Dtype  \n",
      "---  ------      --------------  -----  \n",
      " 0   season      17379 non-null  float64\n",
      " 1   yr          17379 non-null  float64\n",
      " 2   mnth        17379 non-null  float64\n",
      " 3   hr          17379 non-null  float64\n",
      " 4   holiday     17379 non-null  float64\n",
      " 5   weekday     17379 non-null  float64\n",
      " 6   workingday  17379 non-null  float64\n",
      " 7   weathersit  17379 non-null  float64\n",
      " 8   temp        17379 non-null  float64\n",
      " 9   atemp       17379 non-null  float64\n",
      " 10  hum         17379 non-null  float64\n",
      " 11  windspeed   17379 non-null  float64\n",
      " 12  casual      17379 non-null  float64\n",
      " 13  registered  17379 non-null  float64\n",
      " 14  cnt         17379 non-null  float64\n",
      "dtypes: float64(15)\n",
      "memory usage: 2.0 MB\n"
     ]
    }
   ],
   "source": [
    "df1 = df.copy()\n",
    "X = df1.drop([\"instant\", \"dteday\"], axis=1).copy()\n",
    "for col in list(X):\n",
    "    X[col] = X[col].astype(float)\n",
    "X.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Median of total retal bikes in clear day 159.0\n",
      "Median of total retal bikes in mist day 133.0\n",
      "Median of total retal bikes in light snow day 63.0\n",
      "Median of total retal bikes in heavy rain day 36.0\n"
     ]
    }
   ],
   "source": [
    "med_cleardays = (X[X['weathersit']==1]['cnt'].median())\n",
    "print(f\"Median of total retal bikes in clear day {med_cleardays}\")\n",
    "\n",
    "med_mistdays = (X[X['weathersit']==2]['cnt'].median())\n",
    "print(f\"Median of total retal bikes in mist day {med_mistdays}\")\n",
    "\n",
    "med_lsnowdays = (X[X['weathersit']==3]['cnt'].median())\n",
    "print(f\"Median of total retal bikes in light snow day {med_lsnowdays}\")\n",
    "\n",
    "med_hraindays = (X[X['weathersit']==4]['cnt'].median())\n",
    "print(f\"Median of total retal bikes in heavy rain day {med_hraindays}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The median of total rental bikes in clear days is the highest, this could implies that people tends to rent a bike on a clear day. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Median of total retal bikes in springer 76.0\n",
      "Median of total retal bikes in summer 133.0\n",
      "Median of total retal bikes in fall 199.0\n",
      "Median of total retal bikes in heavy rain day 155.5\n"
     ]
    }
   ],
   "source": [
    "med_springer = (X[X['season']==1]['cnt'].median())\n",
    "print(f\"Median of total retal bikes in springer {med_springer}\")\n",
    "\n",
    "med_summer = (X[X['season']==2]['cnt'].median())\n",
    "print(f\"Median of total retal bikes in summer {med_mistdays}\")\n",
    "\n",
    "med_fall = (X[X['season']==3]['cnt'].median())\n",
    "print(f\"Median of total retal bikes in fall {med_fall}\")\n",
    "\n",
    "med_winter = (X[X['season']==4]['cnt'].median())\n",
    "print(f\"Median of total retal bikes in heavy rain day {med_winter}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Median of total retal bikes on holiday 97.0\n",
      "Median of total retal bikes on normalday 144.0\n"
     ]
    }
   ],
   "source": [
    "med_holiday = (X[X['holiday']==1]['cnt'].median())\n",
    "print(f\"Median of total retal bikes on holiday {med_holiday}\")\n",
    "\n",
    "med_normalday = (X[X['holiday']==0]['cnt'].median())\n",
    "print(f\"Median of total retal bikes on normalday {med_normalday}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 1.2 :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = df.copy()\n",
    "y = df2[[\"cnt\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import linear_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_model5 = X\n",
    "X_train5, X_test5, y_train5, y_test5 = model_selection.train_test_split(X_model5, y, test_size = 0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_modelc = X[[\"atemp\", \"weathersit\"]]\n",
    "X_train, X_test, y_train, y_test = model_selection.train_test_split(X_modelc, y, test_size = 0.2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will start by training our data. Please split the dataset into 80 % train data and 20 % test data. Then, use two features which are atemp and weatherlist to train the Regression algorithm and make predictions. What is the MAE and RMSE of train and test data in this model? Interpret the coefficients of these tow variables carefully.[10 Points]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fit model: price = 34.4244 + 411.9009 atemp + -28.7195 weathersit\n"
     ]
    }
   ],
   "source": [
    "at_wt_model = linear_model.LinearRegression()\n",
    "\n",
    "# fit the model\n",
    "model1 = at_wt_model.fit(X[[\"atemp\", \"weathersit\"]], y) \n",
    "predict1 = list(at_wt_model.predict(X[[\"atemp\", \"weathersit\"]]))\n",
    "\n",
    "# print the coefficients\n",
    "beta_0 = at_wt_model.intercept_[0]\n",
    "beta_1 = at_wt_model.coef_[0,0]\n",
    "beta_2 = at_wt_model.coef_[0,1]\n",
    "\n",
    "predict1 = np.concatenate(predict1)\n",
    "\n",
    "print(f\"Fit model: price = {beta_0:.4f} + {beta_1:.4f} atemp + {beta_2:.4f} weathersit\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 1.3 :"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Perform the cross-varidation by spliting the dataset into 10 folds and train the model with Regression algorithm by using the two features as in question 1.2. What is the MAE and RMSE in model?.[10 Points]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Here is the space for your codes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The last excercise, using all features which are\n",
    "- holiday : weather day is holiday or not \n",
    "- weekday : day of the week\n",
    "- workingday : if day is neither weekend nor holiday is 1, otherwise is 0.\n",
    "+ weathersit : \n",
    "    - 1: Clear, Few clouds, Partly cloudy, Partly cloudy\n",
    "    - 2: Mist + Cloudy, Mist + Broken clouds, Mist + Few clouds, Mist\n",
    "    - 3: Light Snow, Light Rain + Thunderstorm + Scattered clouds, Light Rain + Scattered clouds\n",
    "    - 4: Heavy Rain + Ice Pallets + Thunderstorm + Mist, Snow + Fog\n",
    "- temp : Normalized temperature in Celsius. The values are divided to 41 (max)\n",
    "- atemp: Normalized feeling temperature in Celsius. The values are divided to 50 (max)\n",
    "- hum: Normalized humidity. The values are divided to 100 (max)\n",
    "- windspeed: Normalized wind speed. The values are divided to 67 (max)\n",
    "\n",
    "to train the model with the same process in question 1.2 What is the MAE and RMSE in this model? Interpret the results carefully"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Here is the space for your codes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 1.4 :"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Should we use all features or only the two features? Why? Is there the problem of overfitting in the model you select? Why? [10 Points]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Here is the space for your codes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 1.5 :"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the model you selcted in 1.4 to create the dataframe that contains three columns which are : Actual value, Predicted value, and the error/residual. Then fill in these values from the test data.[10 Points]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Here is the space for your codes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 2 [20 points]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 2.1:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2.1 The below information shows the U.S unemployment rate (unemp)in 2010 from January-December \n",
    "\n",
    "\n",
    "Task: write down the python code using control flow  \"if\" to print the message ONLY the months that have the unemployment rate above 8% i.e.\n",
    "\n",
    "\n",
    "- The umemployment rate in Apr is 14.8%\n",
    "\n",
    "- The unemployment rate in May is 13.3%\n",
    "\n",
    "\n",
    "\n",
    "[10 Points]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "unemp= [3.5,\n",
    "3.5,\n",
    "4.4,\n",
    "14.8,\n",
    "13.3,\n",
    "11.1,\n",
    "10.2,\n",
    "8.4,\n",
    "7.8,\n",
    "6.9,\n",
    "6.7,\n",
    "6.7]\n",
    "month =['Jan','Feb','Mar','Apr','May','June','July','Aug','Sep','Oct','Nov','Dec']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The unemployment rate in Apr is 14.8%\n",
      "The unemployment rate in May is 13.3%\n",
      "The unemployment rate in June is 11.1%\n",
      "The unemployment rate in July is 10.2%\n",
      "The unemployment rate in Aug is 8.4%\n"
     ]
    }
   ],
   "source": [
    "unemp_mth = list(zip(month,unemp))\n",
    "unemp_mth\n",
    "\n",
    "for i in range(len(unemp_mth)):\n",
    "    if unemp_mth[i][1] > 8:\n",
    "        print(f'The unemployment rate in {unemp_mth[i][0]} is {unemp_mth[i][1]}%')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 2.2 :"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2.2 write the list [.] of even numbers from 2-500. Then using control flow to find out the summation of the log of even numbers from 2-100. i.e. log(2)+log(4)+....log(100) \n",
    "[10 Points]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "ename": "IndentationError",
     "evalue": "unexpected indent (1242818966.py, line 7)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  Input \u001b[1;32mIn [24]\u001b[1;36m\u001b[0m\n\u001b[1;33m    while value <= 100:\u001b[0m\n\u001b[1;37m    ^\u001b[0m\n\u001b[1;31mIndentationError\u001b[0m\u001b[1;31m:\u001b[0m unexpected indent\n"
     ]
    }
   ],
   "source": [
    "even_num = list(range(2,501,2))\n",
    "\n",
    "total_log = 0.0\n",
    "i = 0 \n",
    "\n",
    "import math\n",
    "    while value <= 100:\n",
    "        if value in even_num:\n",
    "        total_log = total_log + math.log(value)\n",
    "        \n",
    "print('summation of the log of even numbers =', total_log)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 3 [20 point]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3.1 Consider the stock prices: TESLA (TSLA) stock.from June 29, 2010 to Sept 30, 2022. The data are downloadable from Yahoo Finance."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot (1) the TESLA prices and (2) TESLA log returns. Then, check the stationarity condition of these two series. [10 points]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime as dt\n",
    "from pandas_datareader import data\n",
    "import pandas_datareader.data as web\n",
    "import pandas as pd\n",
    "\n",
    "import datetime as dt\n",
    "\n",
    "df = web.DataReader('TSLA', 'yahoo', start='2010-06-29', end='2022-09-30')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Open</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Adj Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-06-29</th>\n",
       "      <td>1.666667</td>\n",
       "      <td>1.169333</td>\n",
       "      <td>1.266667</td>\n",
       "      <td>1.592667</td>\n",
       "      <td>281494500.0</td>\n",
       "      <td>1.592667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-06-30</th>\n",
       "      <td>2.028000</td>\n",
       "      <td>1.553333</td>\n",
       "      <td>1.719333</td>\n",
       "      <td>1.588667</td>\n",
       "      <td>257806500.0</td>\n",
       "      <td>1.588667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-07-01</th>\n",
       "      <td>1.728000</td>\n",
       "      <td>1.351333</td>\n",
       "      <td>1.666667</td>\n",
       "      <td>1.464000</td>\n",
       "      <td>123282000.0</td>\n",
       "      <td>1.464000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-07-02</th>\n",
       "      <td>1.540000</td>\n",
       "      <td>1.247333</td>\n",
       "      <td>1.533333</td>\n",
       "      <td>1.280000</td>\n",
       "      <td>77097000.0</td>\n",
       "      <td>1.280000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-07-06</th>\n",
       "      <td>1.333333</td>\n",
       "      <td>1.055333</td>\n",
       "      <td>1.333333</td>\n",
       "      <td>1.074000</td>\n",
       "      <td>103003500.0</td>\n",
       "      <td>1.074000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                High       Low      Open     Close       Volume  Adj Close\n",
       "Date                                                                      \n",
       "2010-06-29  1.666667  1.169333  1.266667  1.592667  281494500.0   1.592667\n",
       "2010-06-30  2.028000  1.553333  1.719333  1.588667  257806500.0   1.588667\n",
       "2010-07-01  1.728000  1.351333  1.666667  1.464000  123282000.0   1.464000\n",
       "2010-07-02  1.540000  1.247333  1.533333  1.280000   77097000.0   1.280000\n",
       "2010-07-06  1.333333  1.055333  1.333333  1.074000  103003500.0   1.074000"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>Adj Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-06-29</th>\n",
       "      <td>1.592667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-06-30</th>\n",
       "      <td>1.588667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-07-01</th>\n",
       "      <td>1.464000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-07-02</th>\n",
       "      <td>1.280000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-07-06</th>\n",
       "      <td>1.074000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-26</th>\n",
       "      <td>276.010010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-27</th>\n",
       "      <td>282.940002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-28</th>\n",
       "      <td>287.809998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-29</th>\n",
       "      <td>268.209991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-30</th>\n",
       "      <td>265.250000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3087 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Adj Close\n",
       "Date                  \n",
       "2010-06-29    1.592667\n",
       "2010-06-30    1.588667\n",
       "2010-07-01    1.464000\n",
       "2010-07-02    1.280000\n",
       "2010-07-06    1.074000\n",
       "...                ...\n",
       "2022-09-26  276.010010\n",
       "2022-09-27  282.940002\n",
       "2022-09-28  287.809998\n",
       "2022-09-29  268.209991\n",
       "2022-09-30  265.250000\n",
       "\n",
       "[3087 rows x 1 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['Adj Close']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[['Adj Close']].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "df['return'] = np.log(df[['Adj Close']]).diff() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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vjNkdTJnB8PlMBy08jB524BHkCFTW8HNYUnFFLeb/cAkvfMXNJmbtNpRdUIlFWy/zsjtcHWNyJKcXodOsJOzSUnaqwRSvpTEOKQwLWfDjJY3PfLvSqi9J8V05FBxH8IxMcjNkO3alANUcd+Dqw9qmoKJymcZnO9Hvdglfz4bxXCooMzyIYAbU5txXwaEa6qtqH+24ip+OZeOfq/fNuLN+JA0C6es3mOXObcdva1xn0lu7bZDCsJAd/xif5pqCQqHQGMWkCGhAZKb1xuocU5Wt3ZHSWeLs5JdUC75kVlBaw+08eb4GSFxfcUM6c2a7q/cZXgI1BHPsLN8zG0ZhsJ2+12lWkupv5vHU1skx9cvTOJOh3OdmbaM3KQwzMLfOaHe4bHz75y10m30AxRXKtHM2mh5O5Up2qcbniuo6VTCz5PRC1VnCXM+5YNK98n9nWa9rcy2nDBl5+sNLG+JeSY1q9MRlBmTnjmiCMHD+YYz/+B/B8q+XK9B/3l+Y+73x9XVrLw1ZMngwt6yLtl4WbHDEKIzT6dxO+ssuqMTJq/dRUa1UYLQk5SSY25H9/m8OAKCy1vy14TErTmh8fnFNsiqY2eTP/1WNZrg2AlMNjE8sP47hS0x3X7yeU4YB8//ClqNZGve1tU6wF5uTOobOe7AUZunxfxzOt7b2o7F0H4Y5/HQsW7BjZ8Uce2BGbonW4I6M3g4Al1dkboV2kfBTAXIKq1TB2M5lFLOmsdTewrcH182GWdCJhnViOunPPLILKnFa4D0yDObYtdjgvCKlsmEo71tYVoviCu5eh1zz10YlJc9VUVsB6IMpl/YSFM0w7ACjRmA91/+6mI+f/842+X7HUwtUdguphJ9XMmjhEUz+7BSntMaN3tzv+8817kZBdYUllzfabphlB74dCE5fL8S4lSd593SxN4YkHsWzLGvibBy+fB8XM0s0rpny2PWlvZVfYTB6rLkwHSZz335zD6HPO4d4v48+mKby6W/XeMlPYmqYIRH7Z0sdS7hCCoNHZqw9iz1nlDvYudaDk2n38cLqZKzckWbS77iQZiQEgiGjcnlVHaatSTboF8/WWUxZddqkMjIs/Oky3tx4QVkerWUHU57J2qQb+K1hWU+b97ZcwoXMEqz4NQ03TFnSUZOzrEqGoYlHdTpZeyWnsAqVNfo77rc2p+HplSc1L/Kgp4ctPoYpq7gpLS7cvl+J0R8eV+1hsvYyYertRrvgLR4PN+I+e1am024LjAL98Nc03spkCFIYNuDN786j62zleR7LflEeKrX5iHLd3prhRAx1yLuTc3D0SgHWsOwnseye7C19+4lGt0HtzbymGDo/330d72y6wPpdfcM69I9Hs/DURydZ0xgjOb0IWQWV+GqP+R431mTQwiOc9zYAyvhiVTLu9jNDs8BLWY2dLBNWJq+4Gtdz9A9k9GW38c9bSL1dpjIOC6UvmLo2bPFRjeuMw0rCt+cxjMfDjbguSVU32DT3ntEMqURutXZIcnoR6ri4GGqhr1KfSLsPWZ3y25o6043bCgUMjho552PAqNw4++B3NNf51caDr27qG6lpzTC0bSWFZbVmGSHVf1NlplOBSok5kFnFlNhOM9aexUNv/8k5Pde68cMRZeTnRxYcxuPLj+t83zir5Jah0KdZqkeBVofvZTauCuNCw4xWeylMXzmFghSGEc5mFGHy56d4H2kzqI+e399yCWduGHev+2pvOmLmHERppXE3XU5lYOn91DtGcxtncrphw2vKTcPLOqqw6mq3zymsQr+5h7D+D81IxlzKaIbO1ygHAHzzx00A3I2NKTeL0WlWkiBxjITg2BXTop9yrRl5JfxGE7YXzzW2/TD1cgWGJB7B3jPGvcwkYhHu3HeMugGQwjDKqt3XAYA11AfDwfN5iHv/iMa12jo5p05F3a3uZ63dnPq4maccmffmMBIcq+Viq46hJSmFnNlJKtLbKRgLC/HBdvPWVRuN3rrfMY3ryGXTwzrXc5iV1BhZjlEpdI4ag3GCOMnTDmE+PYIcheraevzQsGTLIFSMtY2HbhmtA+r8dKzRyYVZhaiqqUd2QRXe23JJ389UJKcXYbBW32HPkMIwApegYu//dBm3tUYJKTdL7CKkxGWtTXzqGBqVM9+IRfpHc/9NEmjWZSD8Q1298qpUIsJ3h24ht6i64TfGe3BjJ60dupiPR987bEpRVcobgFkzvrQ7Zej8ahLrKDM5vRD31Ebmhy/la3gEVdXWI+1OGWrr5Hh65UmcMsFDjS+4utUamwEy76+0qg6bD2eirKrxWX6+W9cjScgZBrNp1lSiXj8AuVyhMpAr5MCxK/fwRcOgkw19Z+6w8fZ37LY5hkMCHiLGQAqDBaOhMjhWVjmHBW9rb+1XR3uGcSu/AusOKJd6+AifbEhZGUKlMOSNS1I3csvRaVYSpn6l9MLKK6nBh7+m4WjDEsqX/9PfKBmMncw5c+1Z1t34bO+beW/bTzbOCv+8oL/B6qsz2/7OhkKhVAbaTP78X4z9qHGGqL0bePiSY3jyg+NIu1OGi5kleP+ny5yXD/+9XohkjruL1dFeWjtkQGYuZBdUotOsJA0vpGW/pCLh28YIB1zfCV/s4bBhUR8PvfOnyqW5srYeL605w9vA6vfT7N5/DDPX8n88szaCnYfhjHSalYQgPzfMGBamcf1+GfsygcrIaqB2W1NfFGqFVdf2Qpqy6jRyi6vxzIB2jUUWiax+NOveM7n4/IXG8ikUCmzV2t+i/dgK9LwDdfQtSVXW1CHfxDV21mU8A+9545+3IHUR48mHWrOWSZ97ZX5JDa7llOGJ5cfRv3MLje/uNsyuatWWUH49aTi2WdqdMpRWylhjF3Ehr7gaJWoj8LN6NoVqo+/RMKPiHVrlVp+5addbQNgd5h/tND9ce1mVc4fFJ4VhInnFNZw7eaYz+OdaoV4DsCkzDENJL2UZ3xew4AfNNVWmw2EUQlm1rKFM6uXjXDzeYTqZ3/7Nwfda56tLXUybHMvlCr2ebq+tP4e/U3WXcxQKhd6lLjZX3y/3pGP1vhu4c79K5zCl9NxyvLPpgo7CYDs57ZX/O4voDs1Un5lz2o+nGV9yUo8jxqbAnvxA10OJ4UBKrt7vGEQiEUYbsIvpo7C8ljWQpsqFWquo6ku8bIZ4ob2k+OZk2n0E+rkhLNh2B4HxAS1JmQHXusqst2feq8Tkz9lHdHzNMN7fctloGvV1YTaYJRuxSKSaHYkM2DCEhlFkbB5qUpYQKtqb6Q5fysc3f9zE6euFiHxtv97dsGzKAgD+OJ/XUA7272pkmo4Nd4uqdWwR2u/3k11XNRSX9gzjlxO38eeFfHz2e+MSmzE7gfrXf6c2dq7qE6rIV5Mw/wf9wQRzCqvw2voUg/cBlBsjzeFASh6e+UQ3YCKjkE0NMeJg+gJTvzptleNhP9ieikVbjfcF5kIKQ0DqjS2ag9sM4+3vLuicp60NF3uBus83Y6sAgLj3j+Lg+TyNJZtGo7fIZgdCGOoU2GYY2gcyTf/vWXy866rRMBn6ZlGvrU/BjdxyvaPZrScMrymzsf6PmxreY4xiZvTfez/qetac4nia2638SmTeazSiLt12pfE+CsPLVdqRiBle/+achnvoX5fucSqLMe6V1OC/STcM2sg6zUpCIYelRqKRTX9lanhu8Q0tSZnB94czjScCUGfEjbNWJucUGuD30zno3NaH0z0NkX63MRyGtgyz1p1rPMwFjSO+o5cLeAswZwrGOgq2mFvmTtYMvaYRS//G5EfYz2Cvkclx5bb+ECNTVv3L6mV3ICUP7z/TBUDj3hBD9cCYK+2mv9jroykdR+pt9t3X+8/lYf+5PM75cOXN787j1LVCPP1wWwD6l5j6zWWPE1XC0x4kW+Aoe3LYIIXBhpFRv7pBzhBnjWzC66bn6FI23KWWTwbVDcP3WY5HZWYYi7Zexu7TylGlkGG0DdFv7iF4ukn0fn/nvq47oqm7t8uqZOj1lvG9LD8ezWK9vu6g/g65tk6u1yVbfe8Nmw1DG2OzS2bpzJFgZk31DRrT1I37H/6ahkejAvguluBk5JVj1z+mz0ztBVIYbPA0ota3Nm4OrlIJr+u2hhoooyxsjaGNgXcKdYMiqi/1nORgIP7YAm8YYyT+pH8dWdJgI1r6S6rqzIm3N11A6+burOlzivQHgHR0dp5Sdp6Mvc8U4pfwF9PJWphzTow5nL5eiN4PNOc9X1FVVZWDmY+4kZ+v9Czx9fUFAJSVlcHHh9uyzrJtV1TBAAnnpW9Ec04bM/mmbQsPrPhPNx3biqerxKKDswhCHW1PPVNwd2cfvJDRmw1HiixHmI0tlAWgdBnVjgwAANUmhKQgCFtACoMgbMD1u7q2IYFOASUI3iCFQRA2QKgzoglCSEhhEIQNUN9gRxCOAikMgrABbEtSBGHvCOZWu2fPHuzYsQNFRUVo3749pk2bhqioKL3pb926hbVr1+L69evw9vZGfHw8JkyYYNUjSwmCIAj9CDLDOHbsGNavX4/x48dj1apViIyMxKJFi1SurtpUVlZi4cKF8PPzw2effYaXX34ZO3fuxK5du4QonlFIRxEEQegiiMLYtWsX4uLiMGzYMLRr1w7Tp0+Hv78/9u3bx5r+8OHDqKmpQUJCAkJCQtC/f3889dRT2LVrl02iUjpaYDOCIAhrwLvCkMlkSE9PR0xMjMb1mJgYpKamsv4mLS0NUVFRcHNz00hfWFiIvDzHC3tAEAThjPBuwygtLYVcLoefn5/GdT8/P5w/f571N0VFRWjZsqVOegAoLi5GcHCwxndJSUnYv3+/wXLMmzcPgHKHN6AMbsb8bYzNHIMLEgRB2Ctc+zs29O30Fszobaqx2pT08fHxiI83vO2dsZcw4UBMCQ1CEATh6AjR3/G+JOXr6wuxWIyiIs1IrcXFxTqzDgZ/f3/W9AD0/oYgCIKwLrwrDKlUivDwcKSkpGhcT0lJQWRkJOtvOnfujMuXL6O2tlYjffPmzREUFMR3EQmCIJwefUcSW4IgXlKjR4/Gn3/+if379yM7Oxvr1q1DYWEhhg8fDgDYtGkTFixYoEr/6KOPws3NDV988QUyMzNx4sQJbN++HaNHj6Z9GESTZv7TnW1dBEIAJg5sJ/g96gUIPyOIwhg4cCBeeuklbNu2Da+//jquXLmCxMREBAYGAgAKCwuRm9t44LyXlxeWLl2KwsJCJCQkYO3atRgzZgxGjx4tRPGIJszQ6MYZ6+Flj9qwJNwIC/bG0eWxti6G3eLhqv+QLXvm8V6tBL+HyOwzKPUjmNF75MiRGDlyJOt3CQkJOtc6dOiAFStWCFUcwsHo1MYHV++Y7+WhD/UJa2Azdk8Qe4Lm14Zx1AUIF5Yjhh0Bxyw14fR4ukrw7phOOteXT+5qUb6pt0tVfztKX+OonaI1MHS0rT3Tyt8KgxUBHg0pDDPoG8H/0Yf2wqoXu+PiqsdsXQwAwJTBHXSuBTRz001oAtkFjQcXiURA947NML5/W4vyNMQzA3TXqju14e7u6KD9odUIDfKydRFMRmyldypE3SGFYQY+HlJbFwEA8MnUB/HRc90szqd/5xaqv+N7BMPVxT6qhUQswqBuARrX/L34e/YikQg/v9UPTz7Umrc8de7Bcm36Y6FwMdJrRLX3xSNdWqJnmL8ga9Hq+PH4TK3N3Ke4OwW8OKSjgCXRT7Cf5mzCWkehCFFr7KNncDCsNUIwxhO9W2Nwt0BbF0MQFFC2Kle1td7FE7rgwQ5+AtxNuBfKFgtNrlCgmZFOOjTIC+tn9YKbVGLRSDGmo5/e744uj8Xeeb0cwqjewseV9bopgxtreCax0bFhFsS2xOpokMIwBysoDGsqAnte9hCraeeBXQIMpORG+5ae+L+ZPbBpdm+1e3D/vaeJXjmj+7bRuaauQ76a1t1oHpa8H7ZlPYYgP3cENnODm9T+PY34mAXZop5/M6unaoDZPsBT0HsNi9HcsybElgRSGGYQHxNsPJGFTHrEeqOhnmG6NhkfD8Ec6DjBFjG4maflncaQ6EDEdg1E34jGZThTmpVIT4v55Z1+rNe93HSfowKN8jX3Zh85a9zTzBFK4jNdUC/X3bzl7y3cEtT6V3panMfOuQ/zUBLbMv/pzri6Jh4DuwSoFJX64CfQQlscG+HB3hqfaUnKThjRU3gf6gGRmsEYvdzZR4HmDiKYEdus4WGYMSxU53u2hj9tqDBrwP95tL3ONW2FsWRiFLwblNiUQSFm30vMsp5oykhMoWfzbEsfV0hdlPmkfD60Mb2aIMyySoCvq9r37Pm1baE2GjXzHU96pD3q6nVv8P3sh/DPR4NNykt9/4ohfHlQ6kI5BehTvP+J1V+f+nVqofc7Q/R5QHcQJlErrBCjf+0syejtYKgvN+hbg9WHSCTC64+Hqz778dAQ1XmkSwB2L+iP10aGs3ai/iwjX7ZrfODGYZlHfcZjTkOI7tAMANAxUNerRp9Nau2MHjrX9Nkr1cuknp26QpgxLBQbX+uFhzs3DgZaNXeH1EWEZVruwt7u3Gd4xz6IxZtPRqg+b3urL/a8NwAAWBWGm4uY07uMau8LQFl3V7+seVzBQw/4s/6GD/uesSzefDLCpOejyteKS1Kahm2Rxn9CIbRzBEAKQ1DC1KaI2p2yu1SMq2sMR9ydNTwcBxc/IkjZRCIgorWPxSMdiZZccQ8GIuGJBzj9lmn0PUJ1Ox9DjiTmNIz4mGD8mNAHT/XTtSno60nYLsv1TAlEDf8MpZeIRRrKAlDuVL60ahjGPdwW+94foLrurTaj9HIzrFADm7mju5px+8EOzRDeSln32MJDGHq22h49AH8Hij0aZdwGdXVNPOsARp2XHwtV2QNEAJI/icOxJX3xjJnu0ULsujZ08JtgxnedGQbZMBwKDYWh9e7YNhyd/XSIyfewxqjCEO+O1fT8GNilJWbEh3H6bZd2yqUHb3cJ4h7UNPIbanBs7WCdkbVzkQjoFe5vUiNq5inFjwl9VJ/3Jw7U23mKRPoUDHt6xgtM/f2FBnnj4qrHsHBcJMb1b+xU2IzS2oONXmHsI35mZjamT2teN4vpfT0Gnm/fiOZo08KDtzIw+HhI4eEqMagIAc2iqbuShwXr38vBpbo8xLL8pF4W9TzSVg/DoglRxjM1A5EIWPEfy93sDUEKQ2AYA6N2Y2UzPDpiXBzt9jSBZaMaG13a+Wp8luvpWWcND0NYsBf6q9l02Dp9qaTx2t6FA3S+N6Qo9H0TE+qPyLY+qvw7BHqplmkModD3t4Llb62bu7qI8WxsiM7MjeG5QSF4bWS4znX1Ubm6rMN7BOOTqQ9i6eSunFxQNTp0M2YWhvpXsVik9z0bg3lePyY8ZNbvAU3l/O1rjV5ylobp6NxW1+ai/q4Zm1vX9r6CBlMVQYQxLF55fEIKw0zWvBzDydVv/MPKDvTLl2LwxYvdVdc3zdat+Fzr0otDOuosrZjq7ilUveXSIA693wdb32wcuSugu3TCfHqgtQ/2Lhyo4SHFdgumw5SIlR27Nmw7rlW/NVBk7Xutm9kTP6mVXT0dWzbBfvx6wyx4OhKvjtBVGPoQiUR4ondrSDl2imvUbBXmdO3qipsNfUt6XPHzUtpeDM1ATUVfiUM4usEqFLrLberlG9glAFfXxKOFD/+eUepYw0ZDCoMju7Rc/YZEB2EkB2+phFEP4MIXQxHk547hPRrdcdu11K2MbJ0tWyV488kIfPBsw9ST5fvPX4jGT2/2weY3uI/Gds59GAcSB3JObw6MgvX1dIGbVIKghvVyT1eJ7tKNif0Bs8RXL1doPJLt7/TDmU+HGJy9sb0LBtU7afjP11PKanMRQQT3hnuodxaBzdwxpk/rhry4SCI8hvpadWM4I4eC5WU8/TC7vUDfzIjLvQ2h79mptxljj9fU5881/eO9WuHjqQ9qXONRnyGitbfxRLDOhmJSGByJbGd8KYINkUjE+8YojXrBsrShUCgNyWxrq/ro0s4XIWojcyHq3t6FA/D7/P6qz4smROGj57rhwQ5+OiNPQ+2NrWGoX1Nv6N1Cmhn1qPH1lOK9ceyHe6nyNPJERCJgy5w+ePPJCHi6uWDvwgH49HllJ+LBsheDD+Y91RkfPss9GCPzXNgUABvau+p/fquv6u/RfdiXPtSXdzpruceKRfqXHg3xzIB2Oh2wuR2y9l4FwHJF3r2jn07t4DP6x1ujO+Ht0cZ3iVvj7CBSGBZgbqXQZ6A0eC8jN1OvK1w6BHOqlqXVsYWPm4aPvbe7i6rjMeWwF7bOW6EAeof7ayz7WQITLoOrzCKR0snh5ceUe1rCgr3xeC/9Mapea1hWMsc9lGHq4A4Y20+4wIna+3O6GwgzwuCitiT1fFwHje9EIpFqJsnIP7ZvG6MbYdneAZsJiIvRe9f8h3HxC27BNUUi3ZrWI9RPb97q8OVgsHRSFB6NCkCoAcO8NSGFYWX2Jw406tFjKXxOhwHunZolU2JTRp763F1/SOiD4T2CVSOt9gaWmrQZ06eNasmsZ5i/armMT9Tfy7OxIbi6Jt4mgR651g/GbvQKR683QKkwZgwLxbqZPXUUjAiNNgx1I30ki9FYKKQSMVylms9c3+yRLVihRCzSCcGhnoenmwTnPx9qVv357PlonWts9jh9kA3DTtDXET6sZxfo3oUDdGweDB0CveBlwagSMF4x2PpesQgam7u40r6lJ8bpWa9+bWS4qnOeOLCdRWHR+2iFjDdo1GSRv3NbzSXD/5vZAz/O4W7D8fZw0TD46tzSyDO3tXszF0xdspC6KPcKPTeoA+ffuIjFSBgVgUe7Bug8EZHakpS6Dd560Vu5y391Tbzeem/sDA53M70d3aS63bEpxn1r1EHbBgxyAN544gGdPQIMQ7vrjjSkEpHG/gtz8DSyUUsdtuUntkrWMchLYzTLtfNQz187V/Xd1xKxyCL3xFeGh6NzG194e7hg6penDabVbhhHlsXqxJmK7cpP8EY93q9shTKKvRi9uWJOeSVqS1I6dUxtSUp9hmFsCZWtHG2ae+DqnTKTOme9hnMTqq3+/SdMAu55cbqfCWmtUb9IYRjh2UfbGzz/wtNVgsraetXnGcO4T9/Z2LtwgFF3XVZvKrUei61Sm7pMxUWhuLmIIWMJPQEAMaF+eKRLAFb97zqn+0nEIgztHoQr2coT8QxOMLSK5mLElZMr7M+tYYOdkefhYLpAMKQaCkPzO/UlKfW4Ssxzf2W48bbD/GzllG74O/W+KnS4JZj67tiqgkD6wqR2a406SArDCMameaHBXriUpezkjIX64IL27MScaSbbDEMBy0cg2j93dRFDVl/Pmnbrm0qPGq4KQ/sehkODaGLMldMSmLwfaGV41ij06O5/C/rjym3+zzjng1MrB6PPO4cAGN4EJxI1doAaMwzGrqHnGfaNaIFT1wob0iqv+XhINdzUzeHQkkehgMLkpTq21J5uEjw3KASjept+GFfiM10Q3aEZ7hZV635pgsLw4TneHBukMCxk/axe6PfuIZvdn20EEt6a3YjYXyuOkTn5D4hsiYzccuQUVaOlrxsq7lWanKchuLRd7TRcN6WZg5tUgu9e723UMMul07HEGeGB1j54QM975UpsVABu5lVwPluCazeqPgM3pLzFIlGj0VstGbNMxTY4OrVyMPy8XE0eeHCB2dXOJQzNjGGhWLs/o2HgxbZfSoQFTxt2zdbHpEeU0ZrZNvYxz0vfUz39cRykLmLs+OcOxjbs8o7p6IdzN4vNKosxyOhtIVzOM+ADLi6DTAj0B0Oa6f5eoUB4K28sn8zdb5+NDa/2wv7ER/DFi90xsEujAuLbM8twI9ZsPnwtSemjX6cWqh3GDAue7ozPpzR2EI6wJPX2mE44ujxW0B3HLhohSjS/E4nUlqQ0ZhgN37P0RtrPXYiZnCFlz0QI0Bdyfepg80PtaxPs7465o5WuzMxGU2bFQV9r8PVUxtGa/Eh71TPd8GovwYKW0gzDCOp16ac3++BiZontCmOEEx8O1luxLFnrbdcQIiG4wbfcVSpWLQfw3n459AhC2TBM4blBHVBW1rhEZM7MiG+GxQRh/7k8vd9LxCKT3D3ZOlIXsQgjtaK7qqfSiGnFFr1XrpuucUlK2AdkTvaPdQ/G1TXxSE5nlsQ0W9i8p8ybVRhjVO9WWDLJvMGdl7uLxZ6Y+iCFYYDXHw/XePA9Qv1Zw0LYEvXqy+YxcubTIUhOL0QvllP1DKHeuCYOaIeOgZ5mHyZj0n3N+A1fNgzOHlEs2INb7aoXu/M+09Pm8lfDOKfVPvpWpLYkpf7OmEOXDB2+NHFgOyzfnoYAX/2zI2Oyc3027C7xyvLyYQs0hL7Zju1rlxJSGAYY/ZCwkR+5wLVy6kvm7e6i4WJqTn8iZjnHQWgMb8PQlNYaIRGMYg9FEIl47cwszSrYzx0vxHXA2YwipNwsgQiAh1TpVag+m3huUAg83SQY319/gMjnBnUwaT+IJbCFAXJ3VWo/fy9XQQcHfAZVFAKyYTg4zJ4NUzflce1YrF19VfGOOLjVjugZzLo71hbYgb7gHWMHGRlDJBLh3bGdERrk3fBZefb53LGdNOqfVCLGxIHtBfV2Y+5vLlHtfJH4TBd8+J+uNlkCtRdohmEnaB/RyRWpxPjJfY4El6bI9CttW3jorKfbCnuY5PBFrzB/JN8o4pzeeOSBRk+f8FbeCG/ljVPX7gMw7fxuc8ox7uG2+OXEbR7yFqm8mVo2nMk++RHds+j5uI89QwrDANZ8d/rCEDgKvG9YMpAj06jsafZu7w3dFL55tRdKK2W856v+jPpEtMCv7/ZDlJlRoLny5pMROHghD0Xl/MnDRExo1VyIeGN2VKlZ4F1hyGQyfPvttzhy5Ahqa2sRHR2NmTNnomVL/WvgmZmZ2LJlC27cuIG8vDxMnDgRkyZN4rtoBMC5l2WWB3yMeFvw3U+a0vEK1bRMkUkqEUFWr3D4JakeoX4qu4KHq4TX0x9VbrNaD6lre133bz7uo3EN/DskvDikIypr6vGfR/lzqTWHL1/qbvV78m7DWL9+PU6cOIG3334bK1asQGVlJZYsWYJ6PTuCAaCmpgaBgYF49tlnERSkG5+J4H80baxjbt3cA/Oe6oy1M3vwe2OOcLFhmHvcpz6YE9aeMGG3LnP4kn2PC43z05t98eMc3ZMEjeEiFhmtS5aesmcpXM//4IqnmwveHdvZ7CCDhjBlwDTMSFh4IeB1hlFRUYE//vgDs2fPRkxMDABgzpw5ePHFF3H+/Hn06MHe+URERCAiQmm0/eWXX/gskkVYY5Vh65t9kF1QZdMy6GPq4A5WvycXeeNjgvHZb9fwFM9nQQT5uePKV8NMCtP+3eu98e/1Qoc8j91Sji6PZY2wqk3jDMP6ldnRZ372Bq8KIz09HXV1dSplAQABAQFo27YtUlNT9SqMpkxMqD9irLi3w1FGwobK2a6lJ1JXC2PoN9VTJ8jP3aQZiTNh6pkP1HlbzqNRAZj/dGdczym3yf15VRhFRUUQi8Xw9dU0ZPn7+6OoiLvXhTGSkpKwf/9+g2nmzZsHAKrduAqFQmNnLhfKyytQ5lLHOb2p+XOhrkZprAsN8kBucbXF96muVuZRJ5PxUt7qmhoAgKy21mh+XN5FZYUyNlV9fb0gz5NPuNYpWW0tAOWzsjeZzGkXhmDLq1amrMM1NdUm34treoVCAZlM17BdXl6uMiRXlFfAFbW83ZMvNO7XUNZarfZZVaVchaivr0MLDzlahHkKWk53d/bBACeFsXnzZmzbts1gmg8++EDvdwqF6REhDREfH4/4eMMjzPz8fACAj4/Sba+srEz1N1e8vb3g4+PBOb2p+XPLE/h+dm9EtWuGnm8dtPg+g6IlWL7jBsYP7MBLed3dlCETXKRSo/lxeRdelcp6IhaLBXmefMK1TkldlW6Y7m5udieTOe3CEGx5ubgouxlPDw+T78U1fVlZGaRS3Z3iXt7eqr7Hy9sLPhziaFn7HWncT5QLAHDVak8eHkqFIZG42LQOcVIYo0aNQmxsrME0AQEBkMvlkMvlKC0tRbNmjR4QxcXFiIqKsqigtsAewj0AShdEvmjX0pPffRtO5E5KCIM+LynC8eCkMJo1a6ahAPQRHh4OFxcXnDt3TqVgCgoKcPv2bURGChOki3AM2CLossEoaTt3RydMwKbvUgEM6hqIHf/cgbu06Tkm8A2vNgwvLy8MHToUGzduhJ+fH3x8fLBhwwZ06NAB0dGNIRwWLFiAiIgITJkyBYBy70Z2drbq76KiImRkZMDd3R2tWzdNg6KzwdVl0xlHoc8+2h5JZ3MxJLppuoxzPbVQKJZMisLsxx/gFMH113f7WaFEpmMv7YL3jXsvvfQSJBIJVq5ciZqaGkRHRyMhIQESSaN2z83N1djIV1hYiNmzZ6s+3717F0lJSejatSs+/PBDvovIGXt5SU0RZ5phhAV74+RHg21dDJtjq+YklYhVofmNwfdmQr6wl/bAu8JwdXXF9OnTMX36dL1pNmzYoPE5KCgIu3fv5rsohBUxVqFNjbrL92YrwnaowsYLrDGoxggPRaslLIJrH8A1naQhEqinG4U5cxZUwQdpxm429vLsqFUSdkWb5h5488kIPG4nUWgJy1F5SQm8KGUnfSovaM+WnHZJiiDY4GrwFIlEePmxUIFLQ1gTW7rVOtrS5sgeAbh6txoJT5h2vo21IIVBEISgWKvTdizVwI67VIIP/9NN5zotSTkA9vKSnAF6lE2Yhp7c0hP8nI2f3+qLi5klnNIywS39vfWfe24NSGEQvOAMoztCGFReUjYthf3RvaMfunf045T2oQeaY9GELjYPdEkKg7AIzu6y1Fs0WSg0iOWIRCJMHMj/kbCmQm61BrCXWFLOgDMdYUqYRuOZ3lQHHB1SGARBCMrYvm0AABFtvK1yv8e6N80QLNaAlqQIghCUET1bYURP6+2r6RDoqfrbXvYvOAs0wzAAraIQhONBS1/CQQqD4AcayhE88srwMAT4Gj/siI3WzU07OpbgDi1JERZBYzmCoU9Ec97ymv34A5j9+ANm/Vb9XHYax/ALKQwWRCKqaARhCn8tfRT+3q62LgYhMKQwWHARiyCrV5ANgwMPdvADADwSFWDbghA2pXVzD1sXgbACZMNgQUIhDDjTpZ0vLnwxVO9pcjPiKZAgQTgLpDBYYM5kILjhZuCs5IQnInB1TbwVS0MQhFCQwmDBRax8LOSeRxAE0QjZMFhglqTkHC3fP7zxEC5nlwpZJIIgjKAgTxXBIYXBArMkVS/nVgF7P9AcvR/gz6WQIAgLUPNWcbQDlOwdWpJiwUVsmsIgCMKOoJmGYJDCYEFCCoMgHA6KiCw8pDBYiO7QDADgJqXHQxCOApsNw8fDtifUORtkw2Bh+bPd8NygDghsRjFpCMLhUJtpMEebEvxAQ2gWPFwlnI9OJAiCaCqQwiAIgiA4QQqDIAiC4AQpDIIgnIJW/kqbo78XGbqFgnejt0wmw7fffosjR46gtrYW0dHRmDlzJlq2bKn3N/v378ehQ4eQlZUFhUKB0NBQTJ48GVFRUXwXjyAIJ2VGfBgiWvsg7sFAWxfFaeF9hrF+/XqcOHECb7/9NlasWIHKykosWbIE9fX1en9z8eJFDBw4EMuWLcMnn3yCNm3aIDExETk5OXwXjyAIJ0UqEWNYTDDtxxAQXhVGRUUF/vjjDzz//POIiYlBeHg45syZg1u3buH8+fN6f/fWW2/h8ccfR1hYGNq2bYtXXnkFHh4eOHPmDJ/FIwiCICyAV4WRnp6Ouro6xMTEqK4FBASgbdu2SE1N5ZxPXV0dZDIZvL29+SweQRAEYQG82jCKioogFovh6+urcd3f3x9FRUWc89m8eTPc3d3Rp08f1u+TkpKwf/9+g3nMmzcPAFBWVgZAuQuU+dvRcXQ5nOVdOIMcziADoF8OU2Wz9bOwl/fh7s6+aZmTwti8eTO2bdtmMM0HH3yg9zuFQsF5XfH3339HUlISli1bBk9PT9Y08fHxiI83fChPfn4+AMDHxweAsiIwfzs6ji6Hs7wLZ5DDGWQA9Mthqmy2fhb2/j44KYxRo0YhNjbWYJqAgADI5XLI5XKUlpaiWbNmqu+Ki4s5eTz9/vvv+OGHH5CYmIiIiAguRSMIgtDhkS4tcfRKga2L4XRwUhjNmjXTUAD6CA8Ph4uLC86dO6dSMAUFBbh9+zYiIyMN/nbXrl348ccfkZiYSO60BEFYxNqZPSnatADwasPw8vLC0KFDsXHjRvj5+cHHxwcbNmxAhw4dEB0drUq3YMECREREYMqUKQCAHTt2YPPmzZgzZw7atGmjsne4urrCy8uLzyISBNEEkIhFqmMKCP7gfePeSy+9BIlEgpUrV6KmpgbR0dFISEiARNIYNTI3N1djI9+ePXtQV1eHlStXauQ1ePBgJCQk8F1EgiAIwgxEVVVVTjlvY4zejMeWvRuTuLDvdCZu3a/DzPgwWxfFIpzhXQDOIYczyABYLkenWUkAgKtrDDvTCI29vA+LvKQI+2BA5+YYbgeViSCIpgkFHyQIgiA4QQqDIAiC4AQpDIIgCIITpDAIgiAITpDCIAiCIDhBCoMgCILgBCkMgiCaPG2as+87IDShfRgEQTR5fl8wAJU1dbYuht1DCoMgiCaPt7sLvN2pOzQGLUkRBEEQnCCFQRAEQXCCFAZBEATBCVIYBEEQBCdIYRAEQRCccPrzMAiCIAjTCQwM1LlGMwyCIAiCE047w9AmISEBn3/+ua2LYRHOIANActgTziADQHJYC5phEARBEJwghUEQBEFwghQGQRAEwQlSGARBEAQnSGEQBEEQnCCFQRAEQXCCFAZBEATBCVIYBEEQBCeajMIYNmyYrYtgMc4gA0By2BPOIANAcliLJrPTmyAIgrCMJjPDIAiCICyDFAZBEATBCVIYBEEQBCdIYRAEQRCccHiFoVA4h83eWeQgCL5xlrbhDHI4tMIoKSlBVVWV6rOjvpDy8nLU1dWpPjuqHDk5OTh79qzDlh8Abt++jU8//RQpKSm2LopF5OfnIy0tzeFPnqQ2bl+42LoA5lBfX481a9bg/Pnz8PX1RZs2bfDyyy/D19fX1kUzibq6Oqxfvx43btyAq6srwsLCMHXqVEgkEigUCohEIlsXkTM3b97E7Nmz4e3tjc8++wzBwcG2LpJJyOVyfPvtt9i3bx969+6t0Uk5EnV1dVi7di1OnDiBgIAA5OXl4c0330TPnj0hFjvO+JDauH3iODWogfr6enzxxRfIysrCG2+8gYEDByIjIwPLly9Hdna2rYvHmXPnzmHWrFnIysrCuHHj0L59e5w8eRIbN24E4HgjEJlMhpiYGEilUvz6668OV/6UlBRcv34dixYtwty5c9GvXz9bF8lkqqqqsGLFCuTk5GDZsmVYsGABunbtiq1btzqcsqA2bp84Ti1qoLCwEFevXsWIESPQrVs3jB07FkuXLkVOTg727t2L4uJiWxfRKJWVlfj7778RExODJUuWoE+fPpg2bRqGDx+OtLQ0VFZWOlQDB4D09HT4+vpizpw5OHDgANLS0hyqQSQlJSEkJATdunXDxYsXsWnTJuzbtw85OTm2LhpnsrOzkZWVhfHjxyM0NBSBgYEYMGAAPD09UV9fb+vicYbauP3icCUuLy/H/fv38cADDwBQjmxbtGiB8ePH48yZM7h8+bKNS2gchUKBLl26YOjQoZBKpVAoFJBIJKitrQUAeHp6Qi6X27iUpiEWixEYGIjo6Gh06tQJW7duhUgkQmVlpa2LZpSqqiqUlZWhe/fu+Pnnn7Fy5Urk5OTg119/xcKFC3Ho0CFbF5ETdXV1yM3NhYuLcqW5pKQEO3fuRIsWLXDgwAFUV1fbuITcKCsrc/g2LpfLna6NA3auME6dOqVzrXXr1vDz88ORI0cAQLUG+MQTT8DDwwOnT5+GTCazajmNoS2Hl5cX4uLiEBYWBgCqilNWVoaWLVsCgF2OPtjeB0NGRoaqMcyZMwcpKSlITEzEggUL7GoZgU0GDw8PyGQyHDx4EDk5OZg/fz7eeecdfPPNNwgLC8Phw4eRnp5ug9Lqh02OLl26oFu3bvjyyy+RmJiI5557Dn5+fvD09MQPP/yAzz77DDdv3rRBafWzd+9e7NmzB2fOnFFdc8Q2ri2Ht7e3Q7ZxY9hliZOTk/H8889j+fLlSE5O1vl+wIABOHLkCIqKiuDi4oKamhoAygr1zz//2M1SiDE5GJiKc/36dXTr1g2Afa1vGpKDKef9+/fRt29fAMCFCxfg4uKCCxcuYOzYsWjXrp3Vy6yNPhmYhjxs2DAkJyfj6tWraN26NSQSCQDgqaeewp07d1BaWmqTcmtjTI6FCxdi0aJFqKqqwtSpU7F48WK8/PLLWLp0KTIyMuxGeR89ehTPPvssDh8+jEOHDuHjjz/G5s2bAShlcZQ2bkgO9WVAe2/jXLE7hXH58mXs3r0bDz/8MPr27YtNmzZpuKO5ubmhR48e8Pb2xpYtWwAArq6uAICAgABIpVLcuXPHJmVXx5gc6ohEIty7dw93795F165dVdfsoXEbk4PpqDw8PPDXX39hzpw5+P777zF+/Hi4u7sjLy/PVkVXYUgGpiF37twZXbt2hVgs1lgqCA8PR1lZmV2sm3ORw93dHVVVVSgtLUVsbKyqUwoJCUFFRQUKCgpsVn6GI0eOYPv27Zg8eTJWrlyJ999/Hy+99BJ++eUXlJWVwdPTEzExMXbfxg3JUV5erhp0APbdxk3BbhQGU7H9/f0RExODJ554As899xzy8/Pxv//9D0Bj5xQZGYnY2FgcOnQIx48fV01P09LS0K5dO3To0MEmMgDc5GDj7Nmz8Pf3R0hICG7cuIG33noL7777rs1GtlzlkEgkqK6uxv379/H3338jIiICq1atwjPPPIOnnnoK33//vc0Mx1xkYNK0bt0ao0aNQm5uLvbt24f79+8DUC79tG/fHg8++KBNZFAvo7F3waRzc3NDTk4OCgoKVMs5//77LwIDA+1Cjrq6OkRERGDQoEEAgGbNmiE0NBRBQUHIyMgAoFxes/c2bkgOtqU/e2vj5mDz8Obp6elo1aoVvLy8VNfq6+tV2nnLli3YvXs3vv76a/j7+0Mul0MsFqOyshLbtm3D3r17ERoaCj8/P5w+fRovvPACRo4caXUfZ1PlYGDKuX79ety7dw+BgYHYvXs34uLiMHPmTEilUqvJYI4czHdXrlyBp6enRkOWyWTYvXs3Ro8ebdX1WlNlUK8ru3fvxvbt2+Hh4YH27dsjJSUFY8aMwcSJE61WfnPlYCgrK8PatWtx6tQpDB48GDU1NTh58iSefPJJTJo0yeq+/+np6QgODoa3tzcAoKKiAu7u7hoj8KysLMyfPx+rV6+Gn58fANhlGzdHDntr45ZgM4Vx/PhxfPPNN5BKpairq0NcXBxGjBihasCAcspWXFyMd955B9HR0Zg1axZrPpmZmSguLsaoUaPQtm1bh5NDLpdj2rRpuHfvHrp27YoZM2agffv2DiGHPW0+4qtOXb16FRkZGbh37x7i4uLQpk0bh5OjpqYGW7ZsQUlJCRQKBcaPH29zOQYPHoyRI0eqlBsz+AOAPXv24NChQ/j0008hk8k0OlF7a+Nc5airq1N5rNlDG+cDm+z0vn79On744QeMGTMG3bp1w+XLl1WV+7nnnoO3t7dqJOXn54cJEyZg1apViI+PR1hYGOrq6lBbWwtPT0/0798f/fv3t4UYvMhRV1cHsVisutajRw+HlcPd3d1mCoTPOtWpUyd06tTJ6jLwLcfzzz+vMSOxBzlKS0tVcgCNM6ZLly4hJCQEAFTKgulw7bGNc5FDXVnU1NTYtI3zhVVtGMzoKD09HVVVVRgyZAg6duyIxx9/HBMmTEB6ejr27NkDABqVvH///ujatSs2bdqEy5cvY8mSJTh16pTNvAz4lOPkyZNwdXXFuHHjrF6R+JbDFsqC6pRhOaytLEyRQywWq+rLjRs30Lt3bwDAnTt3sGLFCly9etWqZVeHTzlSU1Ph4eFhkzbON1ZVGMxDzcvLQ6tWrTS+e+yxxxAWFobk5GRkZWUBaDRyu7m5IT4+HikpKZg3bx6kUin69etns6UQvuWwFc7wPpxBBqDpyiEWi3H9+nW4ubkhIiIC69evx6uvvoqqqiqEh4dbvfwMziIH3wi6JHX27FmcOnUKgYGB6NSpk8qdLDIyEr///juKiopUOx7d3d3Rr18/3Lx5E2fPnkX79u0hFoshk8lw4MABrF+/HlFRUZgxY4ZqymctSA77kcMZZCA5GuUAlHtLMjMzMXPmTLRs2RIff/yx1TtZZ5FDaASZYRQWFmLp0qX4/PPPUV1djaNHj2Lx4sWq0Nc9evRAUFAQduzYofG7Hj16QCwWa7hhlpeXIycnB6+//jo+/PBDqzYIksN+5HAGGUgOdjkkEgl8fX2RkJCAr7/+2qqdrLPIYS14n2FUV1dj06ZNcHNzw8cff6wKcz137lwcOHAAPXr0gEQiwbhx47Bq1SoMGjRIpc0B5cYc9U05/v7+mDZtGt/FJDkcSA5nkIHk0C/HsGHDMH78eJLDAeB9huHu7g6pVIrBgwcjODhYteHmoYcewu3bt1UuaAMHDkSfPn2wevVqnD9/HgqFAkVFRbh79y4effRRvotlMiSH/cjhDDIAJIc+OZo1a0ZyOAiC7MNQ9z9mPGe+/PJL1NXVYc6cOaprtbW1WLRoETIzMxEaGoqsrCwEBATg3XffRUBAAN/FMhmSw37kcAYZAJKD5HBsBDF6My8A0PQ2GDBggOp6fX09XF1d8fbbb+PWrVtIT09HXFwcYmNjhSiSWZAc9iOHM8gAkBwkh2NjlY17eXl5yMrKQseOHQEoXwyz0cXf318VI8feITnsB2eQASA57A1nkUMoBN2HwWx+uXLlClxdXdG5c2cAwNatW/Hxxx87zGlmJIf94AwyACSHveEscgiNoDMMZop37do1PPzwwzh79izWrFkDmUyGN954A61btxby9rxBctgPziADQHLYG84ih9AIHnywtrYWr776quroyEmTJuHpp58W8paCQHLYD84gA0By2BvOIoeQCG7DcHV1RVBQEGJiYvDiiy+qDkJxNEgO+8EZZABIDnvDWeQQEquEN7dVxEy+ITnsB2eQASA57A1nkUMobH6AEkEQBOEY2M0RrQRBEIR9QwqDIAiC4AQpDIIgCIITpDAIgiAITpDCIAiCIDhhlVhSBOEsHDx4EKtWrVJ9lkql8PHxQUhICHr16oUhQ4bA09PT5HwzMzNx/PhxxMXFISgoiM8iEwRvkMIgCDOYNGkSgoODUV9fj6KiIly8eBHffPMNfvvtN7z33nuq4HVcyczMxE8//YRu3bqRwiDsFlIYBGEGMTExqgB1ADBu3DicP38eS5YswbJly/D111/Dzc3NhiUkCP4hhUEQPBEdHY0JEybg+++/x+HDhzFs2DDcvHkTu3btwpUrV3D//n14eHige/fumDp1qurgHfVlrvnz56vymz17NoYMGQIAuH79OrZs2YLU1FTIZDKEhIRgwoQJeOihh6wvKNFkIaM3QfDIoEGDAADnzp0DAKSkpODOnTuIjY3F9OnTMXToUCQnJ2PBggWoqakBAHTt2hUjR44EoJypzJkzB3PmzFGdH33x4kW8++67KC4uxvjx4zF16lS4uLhg2bJlOHHihA2kJJoqNMMgCB5p2bIlvLy8cPfuXQDA8OHDMWbMGI00vXv3xty5c3Hy5EnExsYiODgYXbp0wZ49exATE4Nu3bqp0ioUCqxZswaRkZFYunQpxGLlGG/kyJF45513sHHjRjz88MPWE5Bo0tAMgyB4xt3dHVVVVaq/GaqqqlBaWoq2bdvCy8sL6enpRvO6efOmaoZSVlaGkpISlJSUoKysDD179kRubi7y8/MFk4Ug1KEZBkHwTHV1NZo1awYAKC8vx3fffYcTJ06grKxMI11FRYXRvO7cuQMA+PLLL/WmKS4uRmBgoAUlJghukMIgCB4pKChARUUFWrVqBQBYuXIlLl++jDFjxiA0NBQeHh4QiURYuXIl5HK50fyYo0OnTJmC8PBw1jRt27blTwCCMAApDILgkb/++guA0u22vLwc586dw6RJkzBx4kRVmtraWp3ZBXNEqDbBwcEAoPKuIghbQjYMguCJ8+fPY+vWrQgKCsKgQYNUBmpmlsDw22+/6cwumD0b5eXlGtfDw8PRunVr7Ny5k3UJq6SkhE8RCMIgNMMgCDM4d+4c7t69i/r6ehQXF+PChQtISUlBQEAAFi5cCFdXV7i6uqJbt2749ddfUVdXh4CAAFy5cgWXLl2Cj4+PRn5hYWEQi8X45ZdfUFFRAVdXV0RERCA4OBivv/46EhMT8corr2Do0KEICAhAUVER0tLSkJ+fj6+//tpGT4FoatCJewRhAtqxpFxcXFSxpHr37q0TS6qwsBDr1q3DhQsXUFdXh6ioKEybNg0LFy5E165dkZCQoEp74MABbN++HXl5eZDL5Rob9zIzM7F161ZcvHgRFRUV8PPzQ8eOHREXF4f+/ftb7wEQTRpSGARBEAQnyIZBEARBcIIUBkEQBMEJUhgEQRAEJ0hhEARBEJwghUEQBEFwghQGQRAEwQlSGARBEAQnSGEQBEEQnCCFQRAEQXCCFAZBEATBif8HsHmXM++DbzUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['return'].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3.2 Using the library seaborn to plot the distribution of TESLA log returns. [10 points]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df['return'].plot(kind='bar')\n",
    "ax.set_xlabel('year', fontsize=12)\n",
    "ax.set_ylabel('TSLA log return', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
