davidrichards/The Smart Project.ipynb

## data.csv

          
            texting
            typing

            
              2.2
              40

            
              0.82
              55

            
              2.9
              45

            
              1.2
              80

## The Smart Project.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The Smart Project\n",
    "\n",
    "In order to learn from data, I ueed a Jupyter notebook and Python to analyze and visualize the data.\n",
    "\n",
    "I loaded some tools that I would use:\n",
    "\n",
    "* I instructed Jupyter to print the graphs inside my notebook with `%matplotlib inline`\n",
    "* I imported figsize so I could make larger graphs\n",
    "* I imported numpy for calculating statitistics on my data\n",
    "* I imported pandas for organizing my data\n",
    "* I imported matplotlib for producing graphs\n",
    "* I instructed matplotlib to use a style to make the graphs easy to understand\n",
    "* I set the figure size to a large format\n",
    "* I instructed Jupyter to produce graphics that take advantage of the retina screen I was using"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from IPython.core.pylabtools import figsize\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "plt.style.use('ggplot')\n",
    "figsize(11,9)\n",
    "%config InlineBackend.figure_format = 'retina'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, I loaded my data into a pandas DataFrame.  My data was in a comma-separated file. You can see all of my data below.  The texting column is the number of hours spent texting in the last 7 days. The typing column is the number of words per minute as measured by Free Typing Game, ([http://www.freetypinggame.net/free-typing-test.asp](http://www.freetypinggame.net/free-typing-test.asp))."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>texting</th>\n",
       "      <th>typing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.20</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.82</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.90</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.20</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   texting  typing\n",
       "0     2.20      40\n",
       "1     0.82      55\n",
       "2     2.90      45\n",
       "3     1.20      80"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filename = \"data.csv\"\n",
    "data = pd.read_csv(filename, usecols=[\"texting\", \"typing\"])\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next I wanted to understand the data I have so far.  What I learned was:\n",
    "\n",
    "* I had 4 data samples, a very low number\n",
    "* The average texting time was just under 2 hours in 7 days, but the standard deviation was almost half of that.\n",
    "* The average typing time seems low, but the standard deviation was a little better, around 1/3 of the average."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>texting</th>\n",
       "      <th>typing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.780000</td>\n",
       "      <td>55.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.946714</td>\n",
       "      <td>17.79513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.820000</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.105000</td>\n",
       "      <td>43.75000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.700000</td>\n",
       "      <td>50.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2.375000</td>\n",
       "      <td>61.25000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2.900000</td>\n",
       "      <td>80.00000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        texting    typing\n",
       "count  4.000000   4.00000\n",
       "mean   1.780000  55.00000\n",
       "std    0.946714  17.79513\n",
       "min    0.820000  40.00000\n",
       "25%    1.105000  43.75000\n",
       "50%    1.700000  50.00000\n",
       "75%    2.375000  61.25000\n",
       "max    2.900000  80.00000"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Even though I don't have a lot of data, I wanted to visualize what that would look like if the mean and standard deviation were correct. So I generated some data and produced a histogram of that data.\n",
    "\n",
    "Here is the example from the texting time. I used my data's mean and standard deviation to produce 1,000 random data points. I then filtered the data for anything equal to or greater than zero, because negative texting time doesn't make sense.  Next I set my figure size to a small size and plotted a histogram of the generated data.\n",
    "\n",
    "The histogram looks about right for my texting data, but I would expect that most people in high school spend a lot more time texting to their friends."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAzcAAAK1CAYAAAD13hC9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\niBwCgxsiIiIiInIIDG6IiIiIiMgh/D8l2GOfkb0b6gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10cbc70d0>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 346,
       "width": 411
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mu, sigma = data.texting.mean(), data.texting.std()\n",
    "x = np.random.normal(mu, sigma, 1000)\n",
    "x = x[x>=0]\n",
    "figsize(4,3)\n",
    "plt.hist(x)\n",
    "plt.ylabel(\"Number of Samples\");\n",
    "plt.xlabel(\"Hours Texting in the Last Week\");\n",
    "plt.title(\"Texting Time from Generated Data\\n\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I did the same for the typing test."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAzcAAAK1CAYAAAD13hC9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nkggAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10cc95c50>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 346,
       "width": 411
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mu, sigma = data.typing.mean(), data.typing.std()\n",
    "x = np.random.normal(mu, sigma, 1000)\n",
    "x = x[x>=0]\n",
    "figsize(4,3)\n",
    "plt.hist(x)\n",
    "plt.ylabel(\"Number of Samples\");\n",
    "plt.xlabel(\"Typing Speed (WPM)\");\n",
    "plt.title(\"Texting Time from Generated Data\\n\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, I was interested in the correlation of my data. The `corr` function calculates Pearson's R for our texting and typing data. If I had more colums of data it would compare all variables.  The data shows there is a negative correlation between texting and typing, or the better someone is at typing, the less time they spend texting.  Again, I don't have a lot of data yet, so this test isn't very instructive yet."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>texting</th>\n",
       "      <th>typing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>texting</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.633153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>typing</th>\n",
       "      <td>-0.633153</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          texting    typing\n",
       "texting  1.000000 -0.633153\n",
       "typing  -0.633153  1.000000"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I wanted to combine this information so I produced a scatter plot graph of my data.  I reset the figure size to a large size for this graphic.\n",
    "\n",
    "I also calculated the trendline using numpy's [polyfit](https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.polyfit.html) function.  This uses the [least squares](http://www.stat.wmich.edu/s216/book/node126.html) algorithm for producing a regression line.  You can see this below with the line\n",
    "\n",
    "    z = np.polyfit(x, y, 1)\n",
    "    \n",
    "That means take the texting data for x, the typing data for y, and produce a one-dimensional regression line, or a straight line.  I then produce a \"polynomial class\" with [poly1d](https://docs.scipy.org/doc/numpy/reference/generated/numpy.poly1d.html#numpy.poly1d) to be able to print my regression line."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABzkAAAaFCAYAAACr+3AyAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10d1401d0>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 834,
       "width": 924
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "figsize(11,9)\n",
    "\n",
    "# plot the data itself\n",
    "x = data.texting\n",
    "y = data.typing\n",
    "plt.scatter(x, y)\n",
    "\n",
    "# calc the trendline\n",
    "z = np.polyfit(x, y, 1)\n",
    "p = np.poly1d(z)\n",
    "plt.plot(x,p(x),\"r--\")\n",
    "plt.xlabel(\"Hours Texting in the Last Week\")\n",
    "plt.ylabel(\"Typing Speed (WPM)\")\n",
    "plt.xlim([0, x.max() * 1.1])\n",
    "plt.ylim([0, y.max() * 1.1])\n",
    "plt.title(\"Correlation of Time Spent\\nTexting and Typing Speed\\n\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I converted the regression line into the form `y = mx + b` to make it easier to understand."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "y=-11.901x+(76.184)\n"
     ]
    }
   ],
   "source": [
    "# the line equation:\n",
    "print \"y=%.3fx+(%.3f)\"%(z[0],z[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Summary\n",
    "\n",
    "I did not have a lot of data, but I was able to understand the data in a regular way. I was able to setup a Jupyter notebook so that if I had new data I coud reproduce the same analysis and graphs and learn from the better data.  I took some time looking at each variable to understand what it might mean. I also tried to understand the relationship between typing and texting with Pearson's R and with a Least Squares regression line.  More data would allow me to more-completely understand the relationship between typing and texting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}