Week 4_Peer graded quiz on Gadfly.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Peer-graded quiz on Gadfly"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Please note that this notebook was created in Julia version 0.4.6."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### After importing `Gadfly` and `DataFrames`, answer the following questions by creating the appropriate code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# using Gadfly, DataFrames;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 1\n",
    "\n",
    "Create a DataFrame called `data` with column names `A`, `B`, `C`, and `D`.  Each column should have $ 30 $ values.\n",
    "\n",
    "- For column `A` generate $ 30 $ random values in the range $ 1 : 10 $\n",
    "- For column `B` generate $ 30 $ random values in the range $ 1 : 10 $\n",
    "- For column `C` generate $ 30 $ random values from the choices `P` and `Q`\n",
    "- For column `D` generate $ 30 $ random values from the choices `X`, `Y`, and `Z`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Create the DataFrame called data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 2\n",
    "\n",
    "Create a scatter plot from columns `A` and `B` using the point geometry."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Create a scatter plot using the point geometry\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 3\n",
    "\n",
    "Change the point marker color to `gray` and increase the size to `5px`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Change the point marker color to gray and the size to 5px\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 4\n",
    "\n",
    "Create a (simple) scatter plot using point geometry using values in columns `A` and `B`, but grouped by the unique elements found in column `C`.  Leave all other elements at their default values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Create a scatter plot using point geometry from the values in columns A and B, grouped by column C\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 5\n",
    "\n",
    "Receate the plot in *Question 4*, but change the point marker size to `10px`, with colors `#AAAAAA` and `#777777`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Recreate the plot in Question 4 with point marker size 10px and colors #AAAAAA and #777777\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 6\n",
    "\n",
    "Create a box plot of the values in column `A` based on the unique values in column `D`.  Render the plot in `grey`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Create a grey box plot of the values in column A based on the unique values in columns D\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 7\n",
    "\n",
    "Recreate the plot in Question 6.  Increase the spacing to `50px` and add the plot title \"`My plot`\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#  Recreate the plot in Question 6 with increased spacing (50px) and add the title My plot\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 8\n",
    "\n",
    "Recreate the plot in Question 7 but add a `ygroup` based on the unqiue values in column C."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Recreate the plot in Question 7 but add a ygroup based on the unique values in column C\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 9\n",
    "\n",
    "Add a new column called `E` and add $ 30 $ values from the standard normal distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Add column E with 30 values form the standard normal distribution\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 10\n",
    "\n",
    "Create a density plot using the values in column `E` and draw a vertical line in `red` with size `2px` though the actual mean of the values in column `E`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Create a density plot from the values in column E and draw a 2px red vertical line through the actual mean\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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