{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Weekly exercise 8: Simple Matplotlib exercises\n",
    "\n",
    "Follow the compulsory QuantEcon DataScience tutorial at\n",
    "[https://datascience.quantecon.org/applications/visualization_rules.html](https://datascience.quantecon.org/applications/visualization_rules.html)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Task 1\n",
    "\n",
    "Import the necessary libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "hide-output": false
   },
   "outputs": [],
   "source": [
    "# hint: we need pd and plt\n",
    "@@@\n",
    "\n",
    "# print the graphs in the notebook\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Task 2\n",
    "\n",
    "Import the dataset from [https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/07_Visualization/Tips/tips.csv](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/07_Visualization/Tips/tips.csv)\n",
    "\n",
    "Assign it to a variable called tips\n",
    "\n",
    "Take the first look at the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "hide-output": false
   },
   "outputs": [],
   "source": [
    "# write your code here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Task 3\n",
    "\n",
    "Delete the Unnamed 0 column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "hide-output": false
   },
   "outputs": [],
   "source": [
    "# write your code here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Task 4\n",
    "\n",
    "Plot the total_bill column histogram:\n",
    "\n",
    "- create the histogram plot object  \n",
    "- set axes labels and plot title  \n",
    "\n",
    "\n",
    "Follow [https://matplotlib.org/gallery/pyplots/pyplot_text.html#sphx-glr-gallery-pyplots-pyplot-text-py](https://matplotlib.org/gallery/pyplots/pyplot_text.html#sphx-glr-gallery-pyplots-pyplot-text-py)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "hide-output": false
   },
   "outputs": [],
   "source": [
    "# write your code here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Task 5\n",
    "\n",
    "Create a scatter plot presenting the relationship between total_bill and tip,\n",
    "using one function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "hide-output": false
   },
   "outputs": [],
   "source": [
    "# write your code here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Task 6\n",
    "\n",
    "Create one 3 by 3 image with the relationship of total_bill, tip and size.\n",
    "Again, use just one function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "hide-output": false
   },
   "outputs": [],
   "source": [
    "# write your code here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Task 7\n",
    "\n",
    "Present the relationship between days and total_bill value.\n",
    "Use `jitter = True` argument for visual appeal."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "hide-output": false
   },
   "outputs": [],
   "source": [
    "# write your code here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Task 8\n",
    "\n",
    "Create two scatterplot graphs, one for Male and another for Female, presenting the total_bill value and tip relationship, differing by smoker or non-smoker. Add a legend."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "hide-output": false
   },
   "outputs": [],
   "source": [
    "# write your code here"
   ]
  }
 ],
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