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Learn Pandas / lessons / 03 - Lesson.ipynb

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{
 "metadata": {
  "name": "03 - Lesson"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Lesson 3  \n",
      "**Get Data** - Our data set will consist of an Excel file containing customer counts per date. We will learn how to read in the excel file for processing.  \n",
      "**Prepare Data** - The data is an irregular time series having duplicate dates. We will be challenged in compressing the data and comming up with next years forecasted customer count.  \n",
      "**Analyze Data** - We use graphs to visualize trends and spot outliers. Some built in computatiopnal tools will be used to calculate next years forecasted customer count.  \n",
      "**Present Data** - The results will be graphed.  \n",
      "\n",
      "***NOTE:\n",
      "Make sure you have looked through all previous lessons as the knowledge learned in previous lessons will be\n",
      "needed for this exercise.***"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Import libraries\n",
      "from pandas import ExcelFile, DataFrame, concat, date_range\n",
      "import pandas as pd\n",
      "import matplotlib.pyplot as plt\n",
      "import numpy as np"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print 'Pandas version: ' + pd.__version__"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Pandas version: 0.11.0\n"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We will be creating our own test data for analysis."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Function to generate test data\n",
      "def CreateDataSet(Number=1):\n",
      "    \n",
      "    Output = []\n",
      "    \n",
      "    for i in range(Number):\n",
      "        \n",
      "        # Create a weekly (mondays) date range\n",
      "        rng = date_range(start='1/1/2009', end='12/31/2012', freq='W@MON')\n",
      "        \n",
      "        # Create random data\n",
      "        data = np.random.randint(low=25,high=1000,size=len(rng))\n",
      "        \n",
      "        # Status pool\n",
      "        status = [1,2,3]\n",
      "        \n",
      "        # Make a random list of statuses\n",
      "        seed(i)\n",
      "        random_status = [status[randint(low=0,high=len(status))] for i in range(len(rng))]\n",
      "        \n",
      "        # State pool\n",
      "        states = ['GA','FL','fl','NY','NJ','TX']\n",
      "        \n",
      "        # Make a random list of states \n",
      "        random_states = [states[randint(low=0,high=len(states))] for i in range(len(rng))]\n",
      "    \n",
      "        Output.extend(zip(random_states, random_status, data, rng))\n",
      "        \n",
      "    return Output"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Now that we have a function to generate our test data, lets create some data and stick it into a dataframe."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "dataset = CreateDataSet(4)\n",
      "df = DataFrame(data=dataset, columns=['State','Status','CustomerCount','StatusDate'])\n",
      "df"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<pre>\n",
        "&ltclass 'pandas.core.frame.DataFrame'&gt\n",
        "Int64Index: 836 entries, 0 to 835\n",
        "Data columns (total 4 columns):\n",
        "State            836  non-null values\n",
        "Status           836  non-null values\n",
        "CustomerCount    836  non-null values\n",
        "StatusDate       836  non-null values\n",
        "dtypes: datetime64[ns](1), int64(2), object(1)\n",
        "</pre>"
       ],
       "output_type": "pyout",
       "prompt_number": 4,
       "text": [
        "<class 'pandas.core.frame.DataFrame'>\n",
        "Int64Index: 836 entries, 0 to 835\n",
        "Data columns (total 4 columns):\n",
        "State            836  non-null values\n",
        "Status           836  non-null values\n",
        "CustomerCount    836  non-null values\n",
        "StatusDate       836  non-null values\n",
        "dtypes: datetime64[ns](1), int64(2), object(1)"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We are now going to save this dataframe into an Excel file, to then bring it back to a dataframe. We simply do this to show you how to read and write to excel files.  \n",
      "\n",
      "We do not write the index values of the dataframe to the excel file since they are no meant to be part of our initial test data set."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Save results to excel\n",
      "df.to_excel('Lesson3.xlsx', index=False)\n",
      "print 'Done'"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Done\n"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Grab Data from Excel  \n",
      "\n",
      "We will be using the ***ExcelFile*** function and the ***parse*** function to read in data from an excel file. The *ExcelFile* function creates an object and *parse* will help with the actually parsing of the file. Lets take a loook at both of these.  \n",
      "\n",
      "**ExcelFile:**  \n",
      "Parameters  \n",
      "path : string or file-like objec, Path to xls file  \n",
      "kind : {'xls', 'xlsx', None}, default None  \n",
      "Definition:ExcelFile(self, path_or_buf)  \n",
      "\n",
      "**parse:**  \n",
      "Definition: ExcelFile.parse(self, sheetname, header=0, skiprows=None, skip_footer=0, index_col=None, parse_cols=None, parse_dates=False, date_parser=None,   na_values=None, thousands=None, chunksize=None, **kwds)  \n",
      "Docstring: Read Excel table into DataFrame  "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ExcelFile?"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ExcelFile.parse?"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "**Note: The location on the excel file will be in the same folder as the notebook unless specified otherwise.**"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Location of file\n",
      "Location = r'C:\\Users\\hdrojas\\.xy\\startups\\Lesson3.xlsx'\n",
      "\n",
      "# Create ExcelFile object\n",
      "xlsx = ExcelFile(Location)\n",
      "\n",
      "# Parse a specific sheet\n",
      "df = xlsx.parse('sheet1',index_col='StatusDate')\n",
      "df.dtypes"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 8,
       "text": [
        "State             object\n",
        "Status           float64\n",
        "CustomerCount    float64\n",
        "dtype: object"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df.index"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 9,
       "text": [
        "<class 'pandas.tseries.index.DatetimeIndex'>\n",
        "[2009-01-05 00:00:00, ..., 2012-12-31 00:00:00]\n",
        "Length: 836, Freq: None, Timezone: None"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "As you can see the first problem we have here is that the column ***Status*** and the column ***CustomerCount*** are of data type *float64*. We would rather have these columns be an ***int*** data type. Below we will simply solve this issue by casting the columns to their appropriate type."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Convert data types \n",
      "df.Status = df.Status.astype('int')\n",
      "df.CustomerCount = df.CustomerCount.astype('int')\n",
      "print 'Data Types'\n",
      "print df.dtypes"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Data Types\n",
        "State            object\n",
        "Status            int32\n",
        "CustomerCount     int32\n",
        "dtype: object\n"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>State</th>\n",
        "      <th>Status</th>\n",
        "      <th>CustomerCount</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>StatusDate</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>2009-01-05</th>\n",
        "      <td> NY</td>\n",
        "      <td> 1</td>\n",
        "      <td> 721</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-01-12</th>\n",
        "      <td> GA</td>\n",
        "      <td> 2</td>\n",
        "      <td>  86</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-01-19</th>\n",
        "      <td> NY</td>\n",
        "      <td> 1</td>\n",
        "      <td> 441</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-01-26</th>\n",
        "      <td> GA</td>\n",
        "      <td> 2</td>\n",
        "      <td> 992</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-02-02</th>\n",
        "      <td> NJ</td>\n",
        "      <td> 2</td>\n",
        "      <td> 614</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 11,
       "text": [
        "           State  Status  CustomerCount\n",
        "StatusDate                             \n",
        "2009-01-05    NY       1            721\n",
        "2009-01-12    GA       2             86\n",
        "2009-01-19    NY       1            441\n",
        "2009-01-26    GA       2            992\n",
        "2009-02-02    NJ       2            614"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Prepare Data  \n",
      "\n",
      "This section attempts to clean up the data for analysis.  \n",
      "1. Make sure the state column is all in upper case  \n",
      "2. Only select records where the account status is equal to \"1\"  \n",
      "3. Merge (NJ and NY) to NY in the state column  \n",
      "4. Remove any outliers (any odd results in the data set)\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Lets take a quick look on how some of the *State* values are upper case and some are lower case"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df['State'].unique()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 12,
       "text": [
        "array([NY, GA, NJ, fl, TX, FL], dtype=object)"
       ]
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "To convert all the State values to upper case we will use the ***upper()*** function and the dataframe's ***apply*** attribute. The ***lambda*** function simply will apply the upper function to each value in the *State* column."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Clean State Column, convert to upper case\n",
      "df.State = df.State.apply(lambda x: x.upper())"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df['State'].unique()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 14,
       "text": [
        "array([NY, GA, NJ, FL, TX], dtype=object)"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Only grab where Status == 1\n",
      "df = df[df['Status'] == 1]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 15
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "To turn the ***NJ*** states to ***NY*** we simply.  \n",
      "\n",
      "***[df.State == 'NJ']*** - Find all records in the *State* column where they are equal to *NJ*.  \n",
      "***df.State[df.State == 'NJ'] = 'NY'*** - For all records in the *State* column where they are equal to *NJ*, replace them with *NY*."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Convert NJ to NY\n",
      "df.State[df.State == 'NJ'] = 'NY'"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 16
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Now we can see we have a much cleaner data set to work with."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df['State'].unique()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 17,
       "text": [
        "array([NY, TX, GA, FL], dtype=object)"
       ]
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "At this point we may want to graph the data to check for any outliers or inconsistencies in the data. We will be using the ***plot()*** attribute of the dataframe.  \n",
      "\n",
      "As you can see from the graph below it is not very conclusive and is probably a sign that we need to perform some more data preparation."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df['CustomerCount'].plot()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 18,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x6cf0b90>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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Lq8GPHy8PkwSCHa3pNCtDfHOjcqLYoAf4YQYvt7gM/uc/d/Vy0ahNVADPL0cHuAD/7LPA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\n/weSeOT2kicY4QAAAABJRU5ErkJggg==\n"
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "If we take a look at the data, we begin to realize that there are multiple values per State, StatusDate, and Status. It is possible that this means the data you are working with is dirty/bad/inaccurate, but we will assume otherwise. We can assume this data set is a subset of a bigger data set and if we simply add the values in the ***CustomerCount*** column per State, StatusDate, and Status we will get the ***Total Customer Count*** per day.  "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sortdf = df[df['State']=='NY'].sort(axis=0)\n",
      "sortdf.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>State</th>\n",
        "      <th>Status</th>\n",
        "      <th>CustomerCount</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>StatusDate</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>2009-01-05</th>\n",
        "      <td> NY</td>\n",
        "      <td> 1</td>\n",
        "      <td> 721</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-01-12</th>\n",
        "      <td> NY</td>\n",
        "      <td> 1</td>\n",
        "      <td> 368</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-01-12</th>\n",
        "      <td> NY</td>\n",
        "      <td> 1</td>\n",
        "      <td> 103</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-01-19</th>\n",
        "      <td> NY</td>\n",
        "      <td> 1</td>\n",
        "      <td> 441</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-01-26</th>\n",
        "      <td> NY</td>\n",
        "      <td> 1</td>\n",
        "      <td> 408</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 19,
       "text": [
        "           State  Status  CustomerCount\n",
        "StatusDate                             \n",
        "2009-01-05    NY       1            721\n",
        "2009-01-12    NY       1            368\n",
        "2009-01-12    NY       1            103\n",
        "2009-01-19    NY       1            441\n",
        "2009-01-26    NY       1            408"
       ]
      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Our task is now to create a new dataframe that compresses the data so we have daily customer counts per State and StatusDate. We can ignore the Status column since all the values in this column are of value *1*. To accomplish this we will use the dataframe's functions ***groupby*** and ***sum()***.  \n",
      "\n",
      "Note that we had to use **reset_index** . If we did not, we would not have been able to group by both the State and the StatusDate since the groupby function expects only columns as inputs. The **reset_index** function will bring the index ***StatusDate*** back to a column in the dataframe. "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Group by State and StatusDate\n",
      "Daily = df.reset_index().groupby(['State','StatusDate']).sum()\n",
      "Daily.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th>Status</th>\n",
        "      <th>CustomerCount</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>State</th>\n",
        "      <th>StatusDate</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th rowspan=\"5\" valign=\"top\">FL</th>\n",
        "      <th>2009-02-02</th>\n",
        "      <td> 1</td>\n",
        "      <td> 385</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-02-09</th>\n",
        "      <td> 1</td>\n",
        "      <td> 125</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-02-16</th>\n",
        "      <td> 1</td>\n",
        "      <td> 378</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-03-02</th>\n",
        "      <td> 1</td>\n",
        "      <td> 722</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-05-18</th>\n",
        "      <td> 1</td>\n",
        "      <td> 962</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 20,
       "text": [
        "                  Status  CustomerCount\n",
        "State StatusDate                       \n",
        "FL    2009-02-02       1            385\n",
        "      2009-02-09       1            125\n",
        "      2009-02-16       1            378\n",
        "      2009-03-02       1            722\n",
        "      2009-05-18       1            962"
       ]
      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The ***State*** and ***StatusDate*** columns are automatically placed in the index of the ***Daily*** dataframe. You can think of the ***index*** as the primary key of a database table but without the constraint of having unique values. Columns in the index as you will see allow us to easily select, plot, and perform calculations on the data.  \n",
      "\n",
      "Below we delete the ***Status*** column since it is all equal to one and no longer necessary."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "del Daily['Status']\n",
      "Daily.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th>CustomerCount</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>State</th>\n",
        "      <th>StatusDate</th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th rowspan=\"5\" valign=\"top\">FL</th>\n",
        "      <th>2009-02-02</th>\n",
        "      <td> 385</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-02-09</th>\n",
        "      <td> 125</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-02-16</th>\n",
        "      <td> 378</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-03-02</th>\n",
        "      <td> 722</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-05-18</th>\n",
        "      <td> 962</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 21,
       "text": [
        "                  CustomerCount\n",
        "State StatusDate               \n",
        "FL    2009-02-02            385\n",
        "      2009-02-09            125\n",
        "      2009-02-16            378\n",
        "      2009-03-02            722\n",
        "      2009-05-18            962"
       ]
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# What is the index of the dataframe\n",
      "Daily.index"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 22,
       "text": [
        "MultiIndex\n",
        "[FL  2009-02-02,     2009-02-09,     2009-02-16,     2009-03-02,     2009-05-18,     2009-06-08,     2009-06-15,     2009-06-22,     2009-07-06,     2009-07-27,     2009-08-03,     2009-09-14,     2009-09-28,     2009-10-19,     2009-11-23,     2009-11-30,     2010-01-04,     2010-01-11,     2010-02-01,     2010-02-15,     2010-03-15,     2010-03-22,     2010-04-12,     2010-04-19,     2010-04-26,     2010-05-03,     2010-05-10,     2010-05-17,     2010-06-07,     2010-06-21,     2010-06-28,     2010-07-05,     2010-08-30,     2010-10-11,     2010-10-18,     2010-10-25,     2010-11-01,     2010-11-15,     2010-11-29,     2010-12-27,     2011-01-03,     2011-01-10,     2011-01-24,     2011-02-07,     2011-03-07,     2011-03-14,     2011-03-28,     2011-04-04,     2011-04-18,     2011-04-25, ..., NY  2012-10-22,     2012-11-12,     2012-11-26,     2012-12-03, TX  2009-01-05,     2009-01-19,     2009-03-02,     2009-03-16,     2009-04-13,     2009-04-20,     2009-06-01,     2009-08-03,     2009-08-31,     2009-09-21,     2009-12-14,     2010-01-04,     2010-02-15,     2010-04-19,     2010-05-31,     2010-06-07,     2010-06-14,     2010-06-28,     2010-07-05,     2010-08-09,     2010-08-23,     2010-09-06,     2010-10-04,     2010-11-01,     2010-11-08,     2010-12-13,     2011-01-17,     2011-02-14,     2011-02-28,     2011-03-14,     2011-05-16,     2011-06-13,     2011-09-12,     2011-09-26,     2011-10-17,     2011-11-07,     2011-11-21,     2011-12-05,     2012-01-30,     2012-03-05,     2012-03-26,     2012-06-04,     2012-07-02,     2012-07-30,     2012-10-08,     2012-11-12]"
       ]
      }
     ],
     "prompt_number": 22
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Select the State index\n",
      "Daily.index.levels[0]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 23,
       "text": [
        "Index([FL, GA, NY, TX], dtype=object)"
       ]
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Select the StatusDate index\n",
      "Daily.index.levels[1]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 24,
       "text": [
        "<class 'pandas.tseries.index.DatetimeIndex'>\n",
        "[2009-01-05 00:00:00, ..., 2012-12-31 00:00:00]\n",
        "Length: 181, Freq: None, Timezone: None"
       ]
      }
     ],
     "prompt_number": 24
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Lets now plot the data per State.  \n",
      "\n",
      "As you can see by breaking the graph up by the ***State*** column we have a much clearer picture on how the data looks like. Can you spot any outliers?"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Daily.loc['FL'].plot()\n",
      "Daily.loc['GA'].plot()\n",
      "Daily.loc['NY'].plot()\n",
      "Daily.loc['TX'].plot()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 25,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x5850bd0>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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LL7+M9PR09OrVC5s2bfI8v3v3bvTt2xfp6el4hM9SCnlwz0AdoWAgWw0+Azn4MI0M7rrr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\naNECzz//PA4fPoyFCxdi+vTpGDhwIKKiglcUdeHCBdx+++2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      },
      {
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9dYte23xyXlwcfUDLJc8VFTHN3whfzcyZss+vv1p2/mK0U76R//nzQGQkHaB1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\n"
      },
      {
       "output_type": "display_data",
       "png": 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PH5c/z9H0US21K+BjisAX4SsCf38gKopmT/BhMQJblFoEYWEWi6C1lSqQtDTH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\nAAAASUVORK5CYII=\n"
      },
      {
       "output_type": "display_data",
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EgG1toabPgZq0AurSq7RWE8mu7Vy8eBGfffYZ8vPz0alTJ0yaNAlr165t8h6N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\nmZSDZQAAAABJRU5ErkJggg==\n"
      }
     ],
     "prompt_number": 25
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We can also just plot the data on a specific date, like ***2012***. We can now clearly see that the data for these states is all over the place. since the data consist of weekly customer counts, the variability of the data seems suspect. For this tutorial we will assume bad data and proceed. "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Daily.loc['FL']['2012':].plot()\n",
      "Daily.loc['GA']['2012':].plot()\n",
      "Daily.loc['NY']['2012':].plot()\n",
      "Daily.loc['TX']['2012':].plot()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 26,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x6d49530>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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9ewMHDhjfjjnDPXiBadcO+PFHoGNH/a9t3x5Ytcqwa82Nx4/ZjDwnB6hWTbdr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\nRK5CYII=\n"
      },
      {
       "output_type": "display_data",
       "png": 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e5DFv39bOaMCyjHIUdAEdrnLN9u1AmzasBAaHI3fMzdlMbqmp0KjrXCdqJdnY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\nL1+GnZ0dWrZsieHDh7/2nLi4OKipqdVbmltE5F0RRwwifyqys7PRoUM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      },
      {
       "output_type": "display_data",
       "png": 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7d9CmTRv89ttvWLJkCY4dOwYnJyecPHkSS5YsAQC4urpi3LhxcHV1xeDBg7Fp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\nHDiAOXPmYOfOnQCA8+fP46uvvmKHt+LnC9Lyqsk8JSUFVlZWzI6dlJS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      },
      {
       "output_type": "display_data",
       "png": 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A4Ovri0Efgr329vbw9/dHeno6IiIi8PDhQ7Rv3z7f9X58S/Uxzs7AsWNC1VV18l8emoYl\nH1Zc5s4FTE2BCRM+zUlXF1iyBDh0CPD0BL76Sj2zBLKyfxRwn/xhyQUo4eMY3r17h1OnTimFg+bM\nmYOTJ0+icePGOHPmDObMmQMAsLCwgIODAywsLNCvXz9s2rSpWDVh9PWBgQMBP79ifwxOCeboUWDv\nXuC33wo/wX2HDsCNG0JDYWkJXLigHkcOR2q0tlZSXpw9C0yZAty+XfiTAqfkExMjlGP39we6dy/e\nugIChDuOr74S5v8ox7u1ckoYTOUYpKRbNyA1FSig1ytHS8nOBuRyYPz44jcKAGBvL3RrvXNH891a\nORx1ozUNw6fE2DSRhNb22GNxkNJlzRogJQVYuFD58eI4GRr+e+fQrZswY2Bx7r9Z+q4A7lMQLLkA\nJTzHwAJyuRBj5jVxSg9XrwKrVwO//w7oqHjkjkwm3IVcuiSsv29f4Plz1W6Dw9E0pSrHoGDwYGDA\nAKHsAUe7SU4Wupl6ewPDh6t3W5mZwIoVwKZNwiRRw4apd3scTnFgrlaSKilKw/Dnn8Dy5ULxNI52\n4+oKVKgA/PKL5rZ55Qrg4gJ06iRUba1aVXPb5nA+lVKRfC5MjK1PHyAyErh7V1oPTcCSj6ZdduwQ\nwkjr1uX/GnU4WVkJ3VorVABathQqtn4KLH1XAPcpCJZcAJ5jUAk6OkI3w99+k9qEoy4ePQJmzhS6\nplaqpPntV6oE/O9/wh2Dg4MwqC49XfMeHE5RKJWhJACIiADatweiooDy5dUgxpGM9HShDpKLCzB1\nqtQ2QFyc0BsuKkoYYGlhIbURh1NKQkmFpX59YfTqhyrfHC1i4UKhK+mUKVKbCNSsKZTTmDhRGEOx\ncaMwroLDYRWtaRiKEmNTx5gGbY89FgdNuJw4IXQb3bLl00a3a2r/yGTAuHFCh4edO4VurR9XkWfp\nuwK4T0Gw5ALwHINKUUzKEhEhtQlHFcTFCbkjX1/gQ/Fe5jAzE2osdekilOf44w+pjTic3JTaHIOC\nGTOAypWFEsyckkt2tjA2xdIS8PKS2ubTCAkR5nro0EEYNf3551IbcUoTPMdQAGPGAFu3CoOTOCWX\njRuB+HihPHZJoX17oVtr5cpCt9Zz56Q24nAEtKZhKGqM7YsvABMT4K+/pPVQFyz5qMvlxg1hxPHO\nnUJJbBacPpVKlYSR0ps2AV9+GYQrVyTVUULqffMxLPmw5ALwHINa4LO7lVzevhVmY9u4EWjQQGqb\nomNnB4wcKYSUOBypKfU5BkA4uZiYCKWTa9VSkRhHI4wZA2RlAR/mOC/RJCQIjVtYmNDFlcNRJzzH\n8B9UriwUPPswwyinhODvL5Sb0JarbH19YOhQPiKfIz1a0zAUN8amCCcV9/5J22OPxUGVLhERwDff\nALt2AVWqsOFUXIKCgjBpklBKIytLahu29g3Alg9LLgDPMaiN9u2Fomdnz0ptwvkvMjKEePycOUCb\nNlLbqJbWrYHatYUKwByOVPAcQw42bBCqcfr5qWR1HDWxYAFw7Rpw9ChQRgsvbXbsEEZvHz8utQlH\nm+HzMXwir18DDRsKYQp9fZWskqNiAgMBZ2ehi6qhodQ26iE1FahbV5gVzsxMahuOtlIqks+qiLFV\nqwb06ydcrUnpoUpY8imuy6tXwsQ7W7eqrlFgcf9UqCCU9vjpJzZ8WIElH5ZcAJ5jUDtjxwKbNxc/\nCc1RLURC11RHR2GiJW3n66+FXnIpKVKbcEojPJT0EdnZwu37nj1A27YqWy2nmPz4o3CncOkSUK6c\n1DaaYcAAofvqV19JbcLRRpgJJSUmJmLYsGFo2rQpLCwscOXKFcTHx8PW1haNGzdG7969kZiYKL7e\n29sbjRo1grm5OU6cOKERxzJlhCtTPhKaHW7fBhYvFrqmlpZGAQAmTRIaxJJ96cYpiWi0YZg2bRrs\n7Oxw//593L59G+bm5vDx8YGtrS3Cw8PRq1cv+Pj4AABCQ0Oxe/duhIaG4vjx45g0aRKyC5jdRJUx\nNjc34Y7h3bvCv1fbY4/FoSguKSmAkxOwZg3QqBEbTuriY5e+fYXCgFevsuEjNSz5sOQClOAcw5s3\nb3D+/HmMHj0aAKCjo4PPP/8cAQEBkMvlAAC5XI6DH6ZUO3ToEJycnKCrqwtTU1OYmZkhJCREI65G\nRkDnzrxWPgvMnCmU0nZxkdpE85QpI8z6tmmT1Cac0obGcgw3b97EhAkTYGFhgVu3bqFNmzZYv349\njI2NkZCQAAAgIhgYGCAhIQFTp05Fhw4d4OzsDAAYO3Ys+vXrh6FDhyp/ABXnGBQcOgSsXi1MqsKR\nhn37AA8PoWtq1apS20jDq1fCndLDh0D16lLbcLSJgs6dOpqSyMzMxN9//40ffvgB7dq1w/Tp08Ww\nkQKZTAZZAfMx5vecm5sbTE1NAQB6enqwtLSEtbU1gH9vsQq7bGdn/aFnSBDq1Sv8+/ly8ZYbNLDG\nxInAkiVB+Ptv6X2kWr57NwhWVsDWrdaYPVt6H75ccpeDgoKw7UO1ScX5Ml9IQ8TExJCpqam4fP78\nebKzsyNzc3OKiYkhIqLnz59TkyZNiIjI29ubvL29xdf36dOHgoODc61X8RECAwNV7jxnDpG7e+He\now6P4sCSz6e6ZGQQde1KlOPrVxslYf9cuUJUvz5RVhYbPlLBkg9LLkRF8yno9K+xHEOtWrVgYmKC\n8PBwAMCpU6fQrFkzDBw4EL4fypr6+vpi0KBBAAB7e3v4+/sjPT0dERERePjwIdq3b68pXQDA6NHA\n9u1AerpGN1vqWbFC6H3k4SG1CRu0awcYGPASGRzNodFxDLdu3cLYsWORnp6Ohg0bYuvWrcjKyoKD\ngwOePXsGU1NT7NmzB3p6egAALy8vbNmyBTo6OtiwYQP65DGySV05BgU9egCTJwtluTnq5/x5YPhw\n4O+/gTp1pLZhh61bhZzLkSNSm3C0BV4rqRjs3CncNfCrNfWTkCD0QNq0CejfX2obtkhJEeonXb0K\n1K8vtQ1HG2BmgJs6USRZVM2QIUIlz6dPpfUoKiz5FORCBIwbBwwapNlGoaTsn88+A+RyYa4GFnyk\ngCUfllyAEjyOoaRSoYJQ+3/rVqlNtJvNm4FHj4CVK6U2YZeJE4XjMDVVahOOtsNDSZ/A7dtC3ZqI\nCKBsWbVuqlQSGgp07y7kF8zNpbZhm759hbLjpXHAH0e1lIpQkjpp0QKoVQs4eVJqE+0jNRUYMQLw\n9uaNwqegqJ/E4agTrWkY1B3zU8wJLbVHYWHJJy+X2bOFBmHMGM37AOzvn4/p3x+IiQGuX2fDR5Ow\n5MOSC8BzDJIxYgRw+jQQFye1ifYQEAAcPgz88gtQwIB3Tg7KlhXmapB6Eh+OdsNzDIVg9GjAwgKY\nNUsjm9NqoqOBNm2A/fuBTp2ktilZxMUBTZoA//zDp6DlFB2eY1ARinBSyW5KpScrS0ieTp7MG4Wi\nULOmEFL6UPaGw1E5WtMwaCLm17GjUAr54kVpPQoDSz4Kl5UrhcZh3jxpfQA298+nMGmSMBCwgClK\nNOqjCVjyYckF4DkGSZHJPj0Jzcmby5eBDRuA33/nXX+LQ8eOQOXKwKlTUptwtBGeYygkL18CjRsD\nT54An3+usc1qBW/eAK1aAWvXCiOcOcVj82bgzz+BD3NbcTiFgtdKUjEODkDPnkLvEM6nQSRM0Wlg\nwGckUxXv3gn1k27cEP7lcApDqUg+azLmV1A4Sdtjj0Vl2zbgypUgrFkjtYkyrOwfoPAulSoJSfyf\nf2bDR92w5MOSC8BzDExgYyNMuXjjhtQmJYOwMGFuhUWLgIoVpbbRLiZOBH77DUhLk9qEo03wUFIR\nWbpU6E/+ww8a33SJIi1NSJSOGyecxDiqx8ZGGGMzcqTUJpySBM8xqIHISGHugKgofhVcEDNnCsUH\n9+/no5vVxYEDwJo1wIULUptwShI8x6AGTEwAKythVi0pPf4LKX2OHQP27hVCHTIZe/sGYMupqC4D\nBwrzhdy6xYaPumDJhyUXgOcYmIKPacifFy+E8MaOHUJPJI760NEBxo/nvb04qoOHkopBerrQTfDc\nOWFsA0cgO1uYN6BDByEXw1E/L14ATZvy8TWcT6dUhJKkoFw5wNVVCJVw/mXNGqGP/aJFUpuUHmrV\nAvr0EeYn53CKi9Y0DFLF/MaMAXx9gYwMaT3yQ9M+V68Cq1cDO3cKIQ4pXT4FlpyK66Kon6SqG2iW\n9g3Alg9LLgDPMTBHkyZCGOnIEalNpCc5WRjd/OOPQL16UtuUPrp2FRrjwECpTTglHZ5jUAHbtwO7\ndwt1a0ozrq5A+fJCDR+ONPz0kzCh1N69UptwWIePY1AzKSmAsbHQXdDERFIVyfDzA1asAK5dE0o1\ncKQhOVm4W7t9WzgmOZz8KBXJZyljfp99Jkz9uW2b9sce8+LxY2DGDMDfv+BGgbV9A7DlpAqXKlWE\nEdCquGtjad8AbPmw5AKU8ByDqakpWrRogVatWqF9+/YAgPj4eNja2qJx48bo3bs3EhMTxdd7e3uj\nUaNGMDc3x4kTJzSpWmjGjhV6J6lz4hQWSU8X8goLFwItW0ptwwGE0iObN//bIYLDKSwaDSXVr18f\n169fh0GOEU8eHh6oXr06PDw8sHLlSiQkJMDHxwehoaEYOXIkrl69iujoaNjY2CA8PBxlyii3ZSyE\nkhS0bi3MTmZrK7WJ5vD0BO7dAw4f5iUvWMLaWuil5OAgtQmHVZgKJX0sEhAQALlcDgCQy+U4+GHW\nkUOHDsHJyQm6urowNTWFmZkZQkJCNK1bKErbSOiTJ4WZ2LZu5Y0Ca0yezEdCc4qOzn+/RHXIZDLY\n2NigbNmymDBhAsaNG4fY2FgYGhoCAAwNDREbGwsAeP78OTp06CC+19jYGNHR0Xmu183NDYAQqtLT\n04OlpSWsra0B/Bt708TyyJGAu/t6HDpkiS+/1Pz281pev369WvaHhYU13NwAd/cg3Lv3ae/PGQeV\nan9oav8UZVmV+2fQIGtMmwZs3RqE+vWl92Ft/xR3+WOnkuATFBSEbdu2ARDOlQVCGuT58+dERBQX\nF0ctW7akc+fOkZ6entJr9PX1iYhoypQp5OfnJz4+ZswY2rdvX651Kj5CYGCgmqwLh61tIK1dK7XF\nv6hjv2RlEfXrRzRnjvQuxYUlJ1W7LFpENGlS0d/P0r4hYsuHJReiovkUdPqXrLvqkiVLULlyZWze\nvBlBQUGoVasWYmJi0KNHDzx48AA+Pj4AgDlz5gAA+vbtiyVLlsDKykppPSzlGAChbtLEicDdu9ob\nXlm/Hti1SyjzrKsrtQ0nP6KjgebNhcqrVapIbcNhDSZyDCkpKUhOTgYAvHv3DidOnEDz5s1hb28P\nX19fAICvry8GfZgl3t7eHv7+/khPT0dERAQePnwo9mRima5dhd4gwcFSm6iHGzeE8Qq7dvFGgXWM\njIS5yXfskNqEU9LQWMMQGxuLrl27wtLSElZWVhgwYAB69+6NOXPm4OTJk2jcuDHOnDkj3iFYWFjA\nwcEBFhYW6NevHzZt2gRZAZfgOWNtUnL2bBBTSWhV7pe3b4XxGhs2AA0aSOuiKlhyUodLceonsbRv\nALZ8WHIBVO+jseRz/fr1cfPmzVyPGxgY4NSpU3m+Z968eZg3b5661VSOXA6YmwPr1gFVq0ptozqm\nTROm6eRTSJYcevQAsrKA8+eBbt2ktuGUFHhJDDUxdKgwJ8G4cVKbqIbdu4VBbNev83h1SeP774V8\n0O7dUptwWILXSpKAY8eAxYuBK1ekNik+ERHCNKbHjgFt2khtwyksb94ApqZAaChQu7bUNhxWYCL5\nrG5YifkpPHr3Bp4/F4qZseBTVDIyhNCRp2fxGwVWvqOcsOSkLpfPPwccHQuf92Jp3wBs+bDkApTw\nWkmlibJlhTmPS/rsbkuWCCeWGTOkNuEUh4kTgZ9/BjIzpTbhlAR4KEmNPHkCtG0LREUBFSpIbVN4\ngoKEu4UbN4APg9M5JZguXYCZM4EhQ6Q24bBAqQglsYipqRB+KYkT17x6Bbi4CHWQeKOgHfD6SZxP\nRWsaBlZifh97bNwILFsGXL7Mhs+nQCTMZe3oKEwwL6WLumHJSd0uQ4YII/IfPGDDp7Cw5MOSC8Bz\nDCWOJk2lns/aAAAgAElEQVSALVuA4cOFZHRJ4KefhHIKXl5Sm3BUSfnyQoP/009Sm3BYh+cYNMSy\nZUJ3z8BA4QfKKnfuCGUULl0CGjWS2oajap49A1q1Ev7lU7CWbniOgQHmzxdi9d98I7VJ/qSkCCUv\nvvuONwraSt26Qj2v33+X2oTDMlrTMLAS88vPo0wZYPt2oTTBL79I75MXM2cClpaAq6v0LpqCJSdN\nuUyaBPz443/XT2Jp3wBs+bDkApTgWkkcoZTEwYNCt8EvvgA6dZLa6F/27xdmZLtxQ3vLhXMEbGyA\n9++FDhEsHYMcduA5Bgn4809g/Hjg6lWgTh2pbYR4c9u2wrzNH013wdFS1q0Drl3jIaXSDK+VxCDL\nlwsNRFCQtMnorCyhAqedHfCh4jmnFJCQIJRODwsDataU2oYjBaUi+cxKzO9TPebNEwqaTZlStFr5\nqvJZsQIoVw7w8FCfw6e6SAFLTpp00dcXKgAXVLKFpX0DsOXDkgvAxzFoDWXKAL6+QrfQn3+WxuHC\nBWEk7Pbtgg+ndDFpEvC//wl3jRxOTngoSWIePgQ6dwYOHBD+1RQJCUIPpB9/BAYM0Nx2OWzRsSMw\ndy5gby+1CUfTlIpQUkmlUSPhzsHBQRhtrAmIhAmEBg3ijUJpR9F1lcPJidY0DKzE/Iri0a+fUOBs\n6FAgLU39Pr/+Cjx6BKxcqdptFcVFalhyksJl+HChi/LDh2z4FARLPiy5ADzHoLXMnQsYGwsNhDoj\nY6GhQuJ7166SWQqco1oqVBDmDfnf/6Q24bAEzzEwxNu3QIcOQuMwcaLq15+aCrRvL5TlGDtW9evn\nlEwiIoB27YTxLJ99JrUNR1PwHEMJoXJlYWT04sVCjyFV4+EBmJsLFTY5HAX16wsXJP7+UptwWEFr\nGgZWYn7F9TAz+zcZHRWlOp/Dh4GAAKFOk1QlL1j5jnLCkpOULpMn566fxNK+AdjyYckF4LWSSgV9\n+wJTpwrJ6LNni58LiI4WeiHt2wfo6anGkaNd9OkjNA4hIdpTFoVIGKOR119mZvEev3FDCP3m93pr\na6BePan3QNHhOQZGIRLuGqpUEUanFvUqPysLsLUVyl4sXKhaR452sXo1cOqUMHNfcU+cRX1clevK\nzhYGbpYtq/yno5P7sYIeL+x73r4V8jVXrwrPswpTtZKysrLQtm1bGBsb4/Dhw4iPj4ejoyOePn0K\nU1NT7NmzB3ofLmu9vb2xZcsWlC1bFhs3bkTv3r1zfwAtbRgA4QDr1AmYMEG4misK3t7A8ePAmTPC\nQcvh5EdiotA7Li2t+CdHVZ5oi7qNsmWlCZsSCZNdDR0qlLxhlQLPnaRh1qxZQyNHjqSBAwcSEdHs\n2bNp5cqVRETk4+NDnp6eRER07949atmyJaWnp1NERAQ1bNiQsrKycq1P8RECAwM18wH+A1V7PHpE\nVLMm0dmzhX/v5ctEenqB9OyZSpWKDCvfUU5YcmLJhYj7FMR/udy9S1S9OtGLF2z45EVBp3+NJp+j\noqJw9OhRjB07VmypAgICIJfLAQByuRwHDx4EABw6dAhOTk7Q1dWFqakpzMzMEBISokldJmjYUKhl\nNGIEEBn56e978wYYOVKYfMfERH1+HA4nN82aAW5ugKen1CZFQ6MRsBkzZmD16tVISkoSH4uNjYWh\noSEAwNDQELGxsQCA58+fo0OHDuLrjI2NEZ1PzQg3NzeYmpoiKCgIenp6sLS0hLW1NYB/s/WaWlY8\npsr1ly8PTJtmjaFDgeXLg1CuXMGvJwJ++cUaffsK0ziq2qeoy9bW1pJuP69lxWMs+LC2f7hP8ZYX\nLQIaNAjC998DU6dK7xMUFIRt27YBAExNTVEgRb95KRyHDx+mSZMmEZFw2zNgwAAiItLT01N6nb6+\nPhERTZkyhfz8/MTHx4wZQ/v27cu1Xg1+BEnJziZycCBycxP+XxBbtxI1a0aUkqIRNQ6Hkw/+/kQt\nWhBlZEhtkpuCzp0aCyVdunQJAQEBqF+/PpycnHDmzBm4uLjA0NAQL168AADExMSg5odZQ4yMjBCZ\nI3YSFRUFIyOjfNevaBmlRl0eMhmwZQtw/XrBRc/CwoDZs4XBShUrsrNfALZcFLDkxJILwH0K4lNd\nHByA6tWF8vYs+HwqGmsYvLy8EBkZiYiICPj7+6Nnz57YsWMH7O3t4evrCwDw9fXFoEGDAAD29vbw\n9/dHeno6IiIi8PDhQ7Rv315TukxSqZIwMnrZMuDcudzPp6UBTk7A0qXCnNIcDkdaZDLghx+E3+yH\n698SgSTjGM6ePYs1a9YgICAA8fHxcHBwwLNnz3J1V/Xy8sKWLVugo6ODDRs2oE+fPrk/gBZ3V82P\nEycAuVwYjJQzsezuDvzzD7B/v3SjmzkcTm48PYGYGKEjCSswNY5B1ZTGhgEQBiPt3g2cPy+EjI4d\nE8Y73LgBVKsmtR2Hw8nJ27dA06bA778D3bpJbSNQKorosRJ/1JTHrFnCJD9ffy3coo4eDezYkbtR\nYGW/AGy5KGDJiSUXgPsURGFdKlcG1q4VBqpmZEjv819oTcNQ2pDJhAl3bt4USmmPGwd07y61FYfD\nyY9hw4BatUrGjHk8lFTCiYgA1q8H1qxhuy4Lh8MBHjwAunQB7twBateW1oXnGDgcDocR5s4Vqhj4\n+UnrwXMMGoQVDwUs+bDkooAlJ5ZcAO5TEMVxWbBA6G5+9iwbPnmhNQ0Dh8PhlAQqVQLWrVNfIloV\n8FASh8PhaBgiYUKuPn2EQpdSwHMMHA6Hwxjh4cJ8K7dvA3XqaH77PMegQVjxUMCSD0suClhyYskF\n4D4FoQqXxo2FQamzZrHhkxOtaRg4HA6npDFvHnDxIhAYKLWJMjyUxOFwOBJy4AAwfz5w6xagq6u5\n7ZaKUBKHw+GURAYNAurVAzZskNrkX7SmYWAl/siKhwKWfFhyUcCSE0suAPcpCFW6yGTAxo2Ajw8Q\nFSW9D6BFDQOHw+GUVBo1AiZOVE0iWhXwHAOHw+EwQEoK0KyZUByzVy/1b4/nGDgcDodxPvtMKIg5\nZQqQni6ti9Y0DKzEH1nxUMCSD0suClhyYskF4D4FoS4Xe3ugQQOhgZDSR2saBg6HwynpKBLRq1YJ\nFVgl8+A5Bg6Hw2GLb78F7t8H9uxR3zZ4rSQOh8MpQbx/LySif/4ZsLVVzzZKRfKZlfgjKx4KWPJh\nyUUBS04suQDcpyDU7VKxojDgbcoUIC1N8z5a0zBwOByONjFwoFBob906zW+bh5I4HA6HUf75B2jf\nHvj7b6BuXdWuu1SEkjgcDkfbaNAAmDpV85P5aKxhSE1NhZWVFSwtLWFhYYG5c+cCAOLj42Fra4vG\njRujd+/eSExMFN/j7e2NRo0awdzcHCdOnChw/azEH1nxUMCSD0suClhyYskF4D4FoUkXDw/gxg3g\nr78056OxhqFChQoIDAzEzZs3cfv2bQQGBuLChQvw8fGBra0twsPD0atXL/j4+AAAQkNDsXv3boSG\nhuL48eOYNGkSsrOzNaXL4XA4TFCxojC2YerUT0tEqwJJcgwpKSno3r07tm3bhqFDh+Ls2bMwNDTE\nixcvYG1tjQcPHsDb2xtlypSBp6cnAKBv375YvHgxOnTooPwBeI6Bw+GUAr78ErCyEib3UQUFnTt1\nVLOJTyM7OxutW7fG48ePMXHiRDRr1gyxsbEwNDQEABgaGiI2NhYA8Pz5c6VGwNjYGNHR0Xmu183N\nDaampgAAPT09WFpawtraGsC/t1h8mS/zZb5ckpfXrwdatgxCw4aAo2Ph3x8UFIRt27YBgHi+zBeS\ngMTERLKysqIzZ86Qnp6e0nP6+vpERDRlyhTy8/MTHx8zZgzt27cv17oUHyEwMFB9woWAFQ8FLPmw\n5KKAJSeWXIi4T0FI5bJ0KdHgwbkfL4pPQad/SXolff755+jfvz+uX78uhpAAICYmBjVr1gQAGBkZ\nITJHsZCoqCgYGRlJocvhcDhMMHs2cPs2cOyYerejsRzDq1evoKOjAz09Pbx//x59+vTBt99+i7/+\n+gvVqlWDp6cnfHx8kJiYCB8fH4SGhmLkyJEICQlBdHQ0bGxs8OjRI8hkMuUPwHMMHA6nFHHsGPDN\nN8CdO0CFCkVfDxM5hpiYGMjlcmRnZyM7OxsuLi7o1asXWrVqBQcHB/z2228wNTXFng9VoywsLODg\n4AALCwvo6Ohg06ZNuRoFDofDKW306wd88QXw3XfAggVq2kihA1OMAZ5jKBCWfFhyUcCSE0suRNyn\nIKR2iYggqlZN+JdIS3IMHA6Hwyk6pqbAjBnA9OnqWT+vlcThcDglkLQ0IaS0fj3Qv3/h389rJXE4\nHI6WUb488P33QiI6NVW169aahkExkENqWPFQwJIPSy4KWHJiyQXgPgXBikvfvoClJTBxYpBK16s1\nDQOHw+GURtatA/bvF0p0qwqeY+BwOJwSjrc3cPkyEBDw6e/hOQYOh8PRYmbOBMLCgMOHVbM+rWkY\nWIn5seKhgCUfllwUsOTEkgvAfQqCJRcAuHw5CN9/D0ybBrx/X/z1aU3DwOFwOKWZ3r2BNm2AlSuL\nvy6eY+BwOBwtITISaNUKuHIFaNiw4NfyHAOHw+GUAkxMhAqs06YVbz1a0zCwEvNjxUMBSz4suShg\nyYklF4D7FARLLoCyz4wZwKNHxUtEa03DwOFwOBygXDnghx+Kl4jmOQYOh8PRQhwdAXNzYMmSvJ8v\n6NzJGwYOh8PRQqKihHIZwcGAmVnu50tF8pmVmB8rHgpY8mHJRQFLTiy5ANynIFhyAfL2MTYGPD2F\nInuFvXbWmoaBw+FwOMpMmwY8eVK4UhkADyVxOByOVnPmDDB6NBAaCnz22b+Pl4pQEofD4XBy07Mn\n0LGjUGjvU9GahoGVmB8rHgpY8mHJRQFLTiy5ANynIFhyAf7b57vvgJ9+Ah4+/LT1aU3DwOFwOJy8\nMTIC5s4Fpk79tEQ0zzFwOBxOKSAjQ+i+unw5MHgwH8fA4XA4HABBQYBcLiSiK1cuBclnVmJ+rHgo\nYMmHJRcFLDmx5AJwn4JgyQX4dB9ra6BLF8DLq+DXaU3DcPPmTakVALDjoYAlH5ZcFLDkxJILwH0K\ngiUXoHA+q1cDP/9c8Gs01jBERkaiR48eaNasGb744gts3LgRABAfHw9bW1s0btwYvXv3RmJiovge\nb29vNGrUCObm5jhx4kSB68/5PilhxUMBSz4suShgyYklF4D7FARLLkDhfOrUATZtKvg1GmsYdHV1\nsW7dOty7dw/BwcH48ccfcf/+ffj4+MDW1hbh4eHo1asXfHx8AAChoaHYvXs3QkNDcfz4cUyaNAnZ\n2dma0uVwOBytxcGh4Oc11jDUqlULlpaWAIDKlSujadOmiI6ORkBAAORyOQBALpfj4MGDAIBDhw7B\nyckJurq6MDU1hZmZGUJCQvJd/5MnT9T+GT4FVjwUsOTDkosClpxYcgG4T0Gw5AKowYckICIigurW\nrUtJSUmkp6cnPp6dnS0uT5kyhfz8/MTnxowZQ3v37s21LgD8j//xP/7H/4rwlx860DBv377F0KFD\nsWHDBlSpUkXpOZlMBplMlu9783qOeFdVDofDUSka7ZWUkZGBoUOHwsXFBYMGDQIAGBoa4sWLFwCA\nmJgY1KxZEwBgZGSEyMhI8b1RUVEwMjLSpC6Hw+GUSjTWMBARxowZAwsLC0yfPl183N7eHr6+vgAA\nX19fscGwt7eHv78/0tPTERERgYcPH6J9+/aa0uVwOJxSi8ZGPl+4cAHdunVDixYtxJCQt7c32rdv\nDwcHBzx79gympqbYs2cP9PT0AABeXl7YsmULdHR0sGHDBvTp00dpnURUYOiJw+FwOIWnRJXEuHXr\nFrZs2YJmzZrBxcUFFStWlMwlODgYlStXxhdffCGZQ06Cg4PRunVrlCtXTmoVpKSk4LOchd8l5MSJ\nE/jss89gaWmJypUrS63DFHFxcbh06RKaNGmCpk2bSq0DAEhLS4OOjg7Kli0r+YXf/fv3ceXKFdjZ\n2Ykhbik5dOgQoqOj0a5dO7Rr106t2yoRDUN2djYWLlyIw4cPY8yYMTh+/DiMjY2xefNmjbuEhoZi\n5syZePfuHWQyGRwdHTFixAhUq1ZN4y4AsG/fPqxZswYVKlSAsbExHBwcMGDAAElcXr58CXd3d2Rl\nZaF+/fpYvny5JB4AEB4ejlmzZiEuLg7GxsZIS0vDgQMHoKOj8f4WAIROF6tWrUK1atXQrVs3tGrV\nShIPBStXrsS2bdvQpUsXHDt2DHv27EGnTp0kdVq+fDkuXryIBg0awMvLC59//rkkHmlpaXB3d8eF\nCxdgbm4OHR0d9OvXD87OzpL4REVFYfz48Xj79i1sbW2xY8cO/PTTT+jVq5fatlkiSmK8efMGNWrU\nwMGDBzFt2jRs27YNQUFBSslpTZCWloalS5eie/fuOH/+PObMmYPbt28jPj5eox4KAgMD8dtvv2HV\nqlX466+/0K1bN0kaSwC4cuUKrK2tUbduXfj4+OCPP/7Ajh07AGi+51h6ejoOHTqEtm3bIjg4GHv3\n7kVcXBzOnDkjic/evXvRpk0bJCUlISYmBsuXL8eVK1c06pCTO3fu4O7du9i/fz82b96MKVOmYPXq\n1ZL5xMbGwtbWFnfu3MGmTZsQExODefPmAZCm1+Hhw4eRkZGBmzdvwt/fH7169cL169eRnp6ucRcA\nuHbtGnr06IFz585h4cKFmDp1Kn766Sf1brR4IxLUx61btygmJoaIiNLT0+n58+dERJSamkpEREOG\nDKEHDx5Qdna22l0U2yQiun//PiUnJ4vLLVq0oPPnz6vdQUHOzxsdHU2XL18Wl4OCgmj8+PGUnp6u\nkf2Sk3v37tGpU6fE5Z07d1KnTp006pCYmEhEwj4KDw+ntLQ0cT/MmzeP1qxZo1EfBatWrRL3TXx8\nPM2dO5d27typUYfExETKyMggIqK4uDh69uyZ+NzLly+pS5cu4v7TNLGxsXTgwAFxOSoqiurVq0ev\nXr3SmENcXJz4/6SkJHrw4IG4/PPPP9PXX39NRKSx35XifEck/M5z+u3atYsWLFigVh/m7hgSExPx\n5ZdfonXr1jh69Cjev38PXV1d1K5dGwBQvnx5JCYm4v79+9DT01NrDPLIkSPo1asXfs5RcapJkyao\nXLky0tPTkZaWBhMTE1SrVk0jVzZeXl7o0aOHuFynTh1YWVmJyykpKQgPD4eurq7aY7O3bt2Cv78/\n3rx5AwAwMTFBly5dQETIysqCvr4+2rZtCwBqL2Vy8uRJmJmZ4aeffkJiYiJkMhnq16+PcuXKifvh\n4sWLaN68uVo9FDx9+hTPnj0Tl7/66it07NgR2dnZ0NfXR3h4OMqWLQtA/VfEqampcHZ2xsCBA3Hr\n1i0AQI0aNWBiYiK+5tKlS6hatarGQjfJycnYsmULnj59CgDQ19cXwyLp6enQ1dVFy5YtUalSJbUf\nO0+fPkWfPn3QtWtXpKSkAACqVKmCJk2aiNvOmbdT9+8qODgYhoaGsLW1FR+rU6cOatSoIR4rUVFR\nYm0kdfkw1zBERkaiZ8+eWLlyJe7evYsHDx7kes25c+fQokULGBoaIi0tDbGxsSr3+Oeff7BixQoY\nGxsjLCxM/FEpvpxy5cohISEBb9++RYMGDSCTydR2q5mdnY1169bhwoULePToEbw/TN6amZmpNB/F\n3bt30bVrV7U45GTHjh1o1aoVNm7ciBs3bgAQfkzly5cHAJQtWxahoaFiArpMGfUdZjExMfjzzz/R\nqlUrREVF4e7duwAg5hIUDbiurq7YUKWlpanFhYjw7bffonHjxvjqq6/Ex6tXry7uCyJCxYoVxWSm\nOk80GRkZOHz4MNLT02FiYoKQkBAkJCSIHllZWQCAR48eoXv37uL7MjMz1eZ0/fp1NGvWDJ6enjh/\n/rx44acY7FquXDm8fv0aKSkpkMlkaj12AOCXX36Bubk5rKyssHjxYgD/XsgoflcXLlwQLyoU+0wd\npKSk4Pz58/Dy8kLVqlWxdetWJR8Fp06dwvDhwwEAr1+/VosLEw3D6dOnERoaCkC4Ih83bhymTJmC\n5ORkXLhwQTyYFV9KUlIS2rVrBz8/P7Ro0QIXL15UiUfOL6BBgwbw8/PD4sWLUb16dezfvx+AcJJT\nHDCKnkDly5fH/PnzsWXLFmRkZKjEBRBOYNnZ2ShTpgysra2xZ88enDp1CitXrkRycjJ0dHSQnZ0t\nnlwSEhLQv39/PHr0COPGjcPDT53gtRAoTjJXr15F3759ce7cOURHRwNQ7j587NgxDB48WPy/KqtR\nZmVl4fnz5wAAAwMDzJw5E3/88Qd0dXVx7tw5ccAkEaFcuXJ48+YNateujezsbMyaNQvLly9XS+OQ\nnJyMpKQkBAYGoly5cmKORXGiLVOmDOLj43H//n0x0ZvXhU9xUdyt6OrqonPnzti9ezfc3Nxw+fJl\n3L59G4BygxQZGQlLS0ucPXsWdnZ2CAsLU7mTAl1dXezYsQNr1qzBlStX8vz8e/fuRbdu3VC+fHmc\nPXsWERERKnWIiYkRv5Ovv/4aS5cuxZw5c3Ds2DHcv38fZcqUQVZWFsqWLYvU1FTIZDIMHToU27dv\nx9ChQxEeHq4yl8zMTISHh4s9+YYOHYoxY8ZgwYIFWL16NZKTk5Uax8zMTNSuXRv169fHnDlzYGNj\ng6SkJJX5iKglQPWJPHv2jFq2bEnW1tbUq1cv2rx5MyUkJIjPHz16lORyOZ05c0YplmZvb08ymYyc\nnJwoJCREJS6//PILWVpakqenJ+3bt0/puaNHj9L48ePpr7/+IiISY7Xr1q0jMzMz6tixI7m5uVFS\nUpJKXDIzM2ns2LE0fPhwWrRokfi4Yh+MGDGCnJ2diUjIvyho3rw59evXj9q2bUurV69WiQsR0fHj\nx8nb25vCw8OJiCgtLY2IhDyQs7MzHTx4kDIzM0Wf1NRUcnR0pI0bN5K1tTUNHjyY3rx5oxKXTZs2\nUcuWLcnOzo7++OMPev36tfhcSEgIjRo1io4cOaK0X7Zt20Z6enrUuXNnGjdunNJ7iktwcDCFh4eL\neSdFbHjv3r3Upk0b8VjJysoSHUeMGEF3794lGxsbcnd3F/dncXn27BnZ2tpS165dafbs2XTr1i2l\n52fPnk1LliwR8wvZ2dmUkZFBZmZm1Lp1a+rVq1ee9ciKQ1hYGC1fvpzOnDlDWVlZ4jGcmppKY8eO\npY0bN1J8fDwR/fu7mj17Nnl5eZFcLqcWLVpQaGioSlyuX79OLVq0oAEDBpCrqyu9f/9e6fmFCxfS\nsGHDiOjf7ysxMZHq1KlDzZo1o379+tHff/+tEhcion379lGNGjXI3t6eBg8eLO4HBV9++SV5enoS\nEYm/r9evX5NMJqNGjRrRN998o9JjOSeSNgwnTpwgd3d3IiI6efIkzZo1S0yqKHB3d6cVK1YQEdHb\nt2+JiGj9+vW0a9culXmEhIRQmzZtKDg4mPbu3UtWVlZ07Ngx8fm4uDhavXo1TZ06Vel9U6dOpRYt\nWtDdu3dV5pKVlUXLli0jV1dXevr0KXXr1o2WLl2qlIx68+YNVa1ala5du0ZEwg9ckbBzd3dX6cGy\nePFiaty4Mc2YMYOGDBlCP/74o9Lzq1atounTp9OdO3fEx16+fEkymSzXfiwur1+/pn79+tGdO3fo\n6NGjNG3aNJo9e7bSa5YtW0bu7u5Kybrff/+devXqRTdv3hQfU/zwi0pKSgpNmjSJ6tWrR6NHj6aB\nAwcqPZ+ZmUmOjo65koS7d+8mmUxGnTp1ot9//71YDh+zZs0amjVrFr17947mz59Pbm5u4jFCRHTz\n5k0aOXIkHTp0SHwsNTWVevfuTStXrlSpC5Hw+zY0NCR3d3fq06cPrVixgl6+fCk+r7jwy9lpgUi4\nwNHX16dNmzapzCU7O5tcXV3pf//7HxEROTo60tdff03v3r0TX/PixQtq166deAGYmZlJjx49IjMz\nMzp8+LDKXIiEc5mrqysFBwcTEdFXX31FixYtUjqXhIWFkampqfjbf/v2Ld28eZOcnZ1zNfqqRuMN\nw4sXL8QrJG9vb/ryyy+JiOj9+/d06dIlsrOzU7oLiI2NJWdnZ7Kzs6O6desqHVjFQdECExEdOXKE\nPDw8xGU/Pz9q2LCh0uuvXbtG8+bNo1WrVpGnpyfFxcWJDZWqcXZ2pl9//ZWIiEJDQ2nUqFG0c+dO\nSk1NFU8w3333HXXv3p1u3bpF33//PREJVWtzfr7i9FjIzs6m9+/f0/jx4+nJkydEJPzQR44cSX/8\n8Yf4uqioKJLL5RQQEEDx8fF0//59ev/+Pe3fv19pfTn3d2HIeeV/9uxZ6ty5MxEJJ/YbN27QkCFD\nKCAgQHxNXFwcTZo0idatW0f9+vWjK1euKF2RZ2VlFbtRICJ6+PAh9ezZU1zu1q0brVmzRukqNDg4\nmL744gtx+1lZWfTHH3/Q/PnzldalCh8iogEDBoi9e54/f06rV68muVyu9JpffvmF5syZQ+7u7jR+\n/HgiUu51V9TvKS/Wrl1L27ZtIyLh4svDw4Pmzp2r9JpZs2bR2rVr6c2bN+JJcv/+/UoXN4o7ieIy\nevRo8bhMSEggGxsb2r9/v9L+P3jwIHXu3JkWLFig8l5sH981t2vXjo4cOUJEQq8+Dw8P2rBhg9Ln\nXbZsGfXu3ZucnZ1pyZIlKvUpCI01DL///ju1aNGCHBwcxMYgLi6O2rZtS9evXyci4ctavXq10kn6\nzz//pDJlypCzs7NSF7visGjRIpo1a5Z4Qjlx4gR16NBB6TVWVla0atUqcTklJYWsra2patWq9M03\n36jEg0g4sbq7u9Ovv/4qXgWsWbOGNmzYIDY8P//8M02dOpUePXokvk9xS2lkZKTU1S8rK6tYP+7j\nx4+LISMiok6dOtHmzZuJiCg5OZl27NhBgwYNUjoBHjhwgFq1akVVq1alOXPmKK2vOD/qRYsWkaOj\nIw4UCkkAACAASURBVC1cuFB8rF27duL39vbtW9q8eTONGjVK6cdtZWVFBgYG4t2oKlyIhCs4BY8e\nPSJHR0dxX125coX69etHV69eJaJ/7xAWLVpEFhYW1KFDBzpz5ozKfM6dO0e9e/emuXPnivtj7dq1\n1L9/f/E1oaGhNGLECPrzzz/Fx3bt2kW6urrUrVs3unTpkvh4zjBPUQkODqYbN26IIREPDw9ydHQk\nIqGBDw4Opv79+4v7iIgoJiaGOnfuTEZGRtS1a1el4yojI6PITtu3byc7OztauHCh2KX7m2++od27\nd1NKSgoREf366680ePBgpe/h119/JZlMRvb29mJ3eVWwZMkSatOmDXl4eIjRDi8vL/Lx8RGPXT8/\nP5o1axbdv39ffJ+7uzvp6OjkalDVjdobhqysLNqxYwd16dKFLly4QEREDRs2pN9++42IiJYvX05j\nxowhIuHH5OfnR56enpSWlkbv378nX19fOnnypEpcgoODqXXr1vTVV1/R9u3bydLSUlx3y5YtaePG\njeJrz549S9bW1uLV3pQpU8jW1paio6NV4kIkxMvNzMzI09OTZs6cSUOGDKHY2Fjas2cPTZs2TWww\nExMTqW/fvuJ4iRs3bpCNjY0Yf1QFFy9epJ49e1L37t3J1taWJk+eTERC6KN3797ilfs///xDkyZN\nEk9Gr169opYtW1KnTp2UwhbF4eHDh2RlZUVyuZxu3bpFrVu3Fi8W/ve//9Hw4cPF14aEhNCECRMo\nIiKCsrOzaf/+/WRvb09RUVHia4p7wgsJCSEbGxvq2rUrzZo1i4KDg+nFixfk6OhIwcHB4g97+vTp\nNH36dPF99+7do9atW1O7du3o9OnTSuss6l1CRkYGrVixglq0aEF+fn7k6+tLenp6lJGRQS9fviR7\ne3vxQuHVq1e0YsUK2rJlCxEJd+vDhw8X70aJVNMPPjY2llxcXKh58+bk6upKbdq0ISKip0+fUufO\nncXj+PXr17Ry5UoxNJyenk5Tp06lGjVqqCw0nJSURC4uLmRtbU1nzpwhDw8PGj9+PL1+/Zq2b99O\nLi4uSnfWzZs3F8OdFy9epIEDB1JQUJBKXIiEhs/BwYFcXFzo9u3b5OfnRx06dKCkpCQ6fPgwTZ8+\nXbxgiIyMpB49eogXIEFBQTRr1iyKjIxUmc+nopE7hqtXryp9uO3bt9NXX31FRESPHz8mGxsb8ar0\n8OHDuW5/VUVwcLDYIBEReXp60oQJE4iIKDAwkGrVqiUmv0NDQ2nKlCniVfvHiarikp6eTt9++60Y\nm4+KiqJJkybR+fPnKTExkSZNmkQ//PCDuN9mzpwpJqIzMjKUBiMV90pYEX5RfAfPnj2jGjVqUFRU\nFL1584bc3Nzou+++IyKid+/ekZubGx0/fpyIhJNPYGCguC5VhGru3bunFIr6+++/qUWLFpSamkpR\nUVHk6Ogo3s0lJiZSz549xe8tZ9goMzOz2C5BQUHUunVr8vf3p5cvX9KiRYvEqzdPT0/y9PSkFy9e\nEJFwIqxXr54Y7ty2bVuuk3BxT8Tv3r2j3bt3i9skIurXr5948vf19aXu3buLx8SMGTPEWP3Hd5Kq\nCNGkpqbS2rVradasWeJjTZs2pR07dhAR0YoVK5R+z6tWrRIbhpSUlFwnYVU4rVu3TrxruXfvHn35\n5ZfihYKjoyNt2rSJnj59SkRE8+fPV2m+8mOSkpKUckmKRjQsLIxevHhBK1asoNmzZ4uD+YYMGSKG\nl1QVYiwKGmkYFDFMxY/C3d1dKUxz+vRpat26NY0fP55MTEyUfkyqJDk5mVJSUsQfyJEjR2jSpEni\nwThx4kRyc3Mjf39/cnFxIScnJ7V4KL7w6OhopRh6jx49xLuqEydO0MyZM2nUqFH0999/U6dOnZRO\nwIr1qOLgSU1NFXtbKPaNs7MzXb58mbKzs+nixYtkbm4uJm/t7e2VEpgKVBULfv/+vdjwZWVl0YUL\nF2jkyJHi89evX6d69erRtm3bSC6Xk729fa7cU3Fj5YpjNTk5Wemz7tq1i4YOHUpERE+ePKHBgwfT\n1q1bxe/R1dWVYmNjc61PVfuGiMT1p6enU3p6Ojk7Oyv1lnF0dCS5XC724Pq4l52qTzi3bt1SunBa\nvXo1rV27loiEq+Du3buLd+MLFy6kefPm5VqHKvaP4nMpEsqKdXbp0kW8m7148SJNnz6dhg8fTsuX\nL6d69eqptPNIXuTsrRgXF0eWlpbid/jgwQMxGuHi4kKWlpYqC5kXB5U2DP91olJ8URMmTMjVW+Wf\nf/6hPXv2KMVxi8OnnBgmT54sXr0QCQfUn3/+SY6OjjRr1iyV/pgL8snOzqbk5GQaNGiQ0kH6+vVr\nmjlzJtnZ2Yk/NFWQ13eU87HExERq1KiR0gH63XffkZOTE9WvX5+cnZ1V1v30U05SR48epVGjRild\nbZ8+fZpWr15N33zzjVLjWlwU8WeifxuHnN/d+fPnadiwYeLr/vrrL5o8eTLZ29vTF198QXK5XOm4\nKe4dgmLbea1H8ZiiE4KC5ORk2r17N7m6uubq8aMOPj62+/btq1Ty4+LFi2Rvb0+dOnWiNm3a0L17\n91Sy3ZzHYH77OSwsjHr16qV0J5mYmEibNm2i6dOnK5W+UDV5Od2/f18pD6Rg3759tG7dOpUey8VB\nJQ1DdHS0Ul2Tj2/nP6Zbt270+vVrCg0NJS8vL1UoKJHzCzl+/HiufuKKH+7AgQPFH9Tt27fFA01V\n/co/diES8gN5nTjCwsLE2CwRiQdsWlqa0slTlbVR8jopZ2ZmUmhoKPXr1y/Xc0lJSUp9yovb6ymv\n7ee1TrlcTtu3byciIeSXV4Otit40Xl5etGTJEqVeOgoUritXrqRp06YpPZeenk47d+7MdUdXHHJ+\nxpxdKj/mwYMH1KpVKyISLiQU8fyc5Levi+OU3/Pp6enUq1cvsbuw4reUkpKi0i6Wr169EkN6Dx8+\nzHWCVxxHx48fF0NZoaGhGqlrdvz4cfEuQeGh+Pfo0aM0duxYIiIKCAigs2fPqt2nKKhk5LOrqysO\nHjyIt2/fYty4cXB1dYWPjw8AiDVhFISGhiIxMRGLFy+Gs7MzKlSooAoFJWQyGWJjYzF9+nR4e3vj\nyZMnSjVpypQpg+zsbOjp6SE8PBzDhg3D8uXLxZIWqpjTQLE9xQjT4OBgjB49Gv7+/kojrBXPh4WF\nwcrKCleuXEHXrl1x4MABZGdnQ0dHRxyJScWoT59zmD8RYfXq1bh69arSc4DwfcXExKBdu3aIj4+H\nq6sr/Pz8AAhlL5o2bfr/9s47LMorC+Pv2F1FxbXE+GDQRGwgAmILUsRgG+IEdEQjGDBmMYqABbPK\nij5KdLEghA0JihLXigbEhq4oIotYwmJviGIJAgZRQECY4d0/eObLDKAiDOBuvt8/+sFXzle45957\nznmvIKdQW1tUxzZp0gRXr16Fn58frly5IjwP1bNT2aVUKtGsWTNMnToV3t7eQmWz+r1V/s7eBlUV\nrIWFBU6fPl1tNa7qXh8/fgwHBwcoFAoEBgYiJSUFzZs3x9SpU2Ftba0hNVEXVJIe8fHxkMvliI6O\nBlBVkiEtLQ0WFhYICQmBubl5FRUAVWV8XaQlVNdU2fTkyRONd6Nuc2lpKbp06YLWrVvD398fixcv\nBgC0bt0aAwcOBFA3yQ3V9f785z8jIyMDBgYGcHR0FJQTKvPgwQMolUr4+/tj+vTpKCwsrPW1q4PV\naF2FhoZi48aNGj9TfT+JiYl4+fIlZs6cibVr19ZL+6cVautRFAqF0EuLjo7muHHjuGjRInp7ezMl\nJYVmZmbCaEC9t5KUlMQOHTpw/vz5WqsDqNxbzMrK4qJFi9inT59XHnP58mVKJBKam5tXKdrStj1X\nrlyhRCJ57egoICCAEomEo0aN0mpR2KuYMWOGMNdbuZc+e/Zs9uzZkyNGjOCCBQu0NrxV/w6Kiop4\n5MgRWltbc/r06Zw2bZoQJK3cu+3cuTN79OjBsLAwrdjxOhYvXkxPT88qVeyqwPHEiRM5ZcoUIVNK\nfXRR1xGUOufOnaOBgQFdXV05fPhwTps2Teh9qwex16xZQ4lEwi+++ILp6em1vn5NOH36NA0MDCiT\nyTh9+vRq94mJiaGOjg6trKzo5OTEtLQ0rVy7cuA+LS2N/v7+7Nix42t73VKplK1ateKSJUs0VJHr\nivoUX0lJiUYcKiwsjCEhIRrtgMp+e3t79urVS6vFe/XBWzuG8vLyaoft7u7uNDU15eXLl0lWNIa9\nevUShpSqY+7duycUTGmDyoVqqmyEuLg4Dh48WEhHrdzYPHz4kP7+/lotUlO/RmFhIffv3y8ERR0d\nHYXq2OoynAICArhx48ZXnq82tqiOLy8v58WLF+nn5yfEcA4cOEBfX98qxV8k6enpSblcrpHWp+2A\n5Zw5c9i7d28hp/3QoUO0sbER0oFV7zUzM5Ph4eEa70mbsR+lUsmsrCwuX76cycnJfPLkCa2srHj0\n6NEqjXVmZqYgxVJfAUvVt+Hv788ff/yRZEVmlJubm/B9qL+Ln3/+madPnxa2tZGJpf43rlAoWFBQ\nwAULFtDV1ZXHjh1jSUkJhw8fzlWrVlWxZ/v27Rw5cqRGbKOu9qgff/z4cQ4fPpxr166lQqHg2rVr\nKZVKSWoWQ6rsj4qKqnZ6rS62VP4ubt26xS5dujAyMpLFxcWMiIigi4uLhh0qoqOjXzs1+K5QY8fw\n+PFjjcBceno6XVxcuH79el64cIFZWVkcNmwYk5KShBufOHGiVjV7VJw6dUrDQ584cYKWlpaUyWT0\n8PBgaGgoyYoaiYULFwofTENpqe/du5dmZma0tbWlvb09jx8/ztzcXLZu3VroQak+mFfN89cF9YZT\nVaTz9OlTLliwgHK5nBcuXODPP/8szHVWtkE9FVJbmU/qDfD58+eZlZXFDz/8UJiXf/bsGRcsWCAU\npVX3rupS8KTC29ubK1euJPl7dk9JSQnd3d2FEV1oaCidnJw0noPqnZw7d07jnurqvNX/jYyMFJIM\npk2bJtSp5Ofnc9u2bbSzsxMcZ+VR3Ks6bLW1idSsiHZxceHQoUOFzsLVq1f5wQcfCGnCqmtrKzvs\n/v37jI2N5fPnzwWbLly4IDhtdYyMjASNJ1U2mzY7DySrjCDj4uLo4ODAH374gffv32dKSgq9vLw4\nb948FhcX09DQUKPmqTFTT2vDGx2DQqHg3/72N/bq1YupqakkyeTkZJqYmDAiIoI7d+5knz59mJeX\nx2XLltHNzU3445HL5RrVldogOzubEomEJiYmfPDgAcvLy+nn58ezZ88yJyeHY8eO5UcffcTHjx/z\n0qVLdHd3FzIktO0Y4uLiePfuXWG7qKiImzdvpp6enhBoCwsLo6urK3/99VeuWrVKkFF4VZZJbW0s\nLi7WyOgqLCykp6cnzczMuHTpUqEBDg8P52effcbNmzfT0NDwtRIjdWloXtcAqzLB/Pz8KJPJSFbc\ne0pKCo2MjITvTB1tvbuEhATq6ury5s2bnDRpEv/1r3+RJE+ePEk3NzfGxsYKU0bh4eFCA1P5+tps\neFSN6/bt2+nm5sYzZ84wMTGREyZMEPLv9+zZw5EjR9ZLsgapmY1FksHBwRw8eDBXrFjBffv2MTs7\nmxYWFkxJSRFGmVKptIr0iYraPh+lUkkfHx/q6+vzs88+0xCSO3r0qFBJTf7uuHbv3s3hw4fT3d2d\nI0aM0OqCQwqFgjt27NAYXf/00080MTFheHg4V65cyf79+wuKAyNHjqSHhwelUmm9p8HWJ6+NSB07\ndgzdunWDQqFAQkICBg0aBKAigLxu3Tr069cPGzduxCeffIIOHTrAy8sLDx48wNKlSyGVStGkSRMY\nGxtrJRaiCnZ16tQJs2bNQteuXREcHAyJRIKFCxfi2bNnsLGxwcSJEzF69Gj4+vpi4MCB6NWrF5KS\nkgR9d22hCszOmjULYWFhAIBWrVrByMgIpaWlSE9PBwCMGTMGXbp0QWJiIpYuXYr4+HicPHmyWlsk\nEkmtbMzMzES3bt0wZ84cFBcXo7S0FJ6enujcuTPi4uKQmZkJX19fKJVKuLm5wdXVFadPn0ZRUZEg\naV4ddQnoymQybNiwAbdu3cKcOXNw/PhxtGzZEnK5HOnp6Th27Bj8/Pxw9+5dxMTEQCKRoF+/fti8\nebPwnamjjXdHEpaWlrCzs8M333wDR0dHQRrbxsYGenp6OHDgAMrKyjBz5kxEREQIy7ZWvn5t1o4+\nceKEhoT0y5cvERwcDC8vLwDA1KlT0blzZyQkJEBXVxeGhoaYMWMGDh06hM2bN8PMzAyZmZlalTA/\nceIERo0ahRMnTghS5Dt27MDly5cRFRWF5s2bY8mSJdDV1YWlpSVWr16NuLg4JCQkICcnR1jjojK1\nXVt706ZNSE9Px507dxAVFYV169Zh+/btiImJQXZ2Nrp16yYsDtWyZUsUFRVhypQpWLp0KfT19REd\nHa21BYdIomnTppBIJHj+/Dni4uIAVAS0fXx84ObmBl9fX/Tp0wfz5s1D06ZNsW3bNrRo0QLHjh3T\nig2Nxuu8xtmzZymRSITt+Ph4Xrp0ieHh4WzRogVlMplQkFVYWEilUsmIiAjOnTtXqCysK4cOHaKB\ngYFQ2fn8+XN++eWX/Oc//0knJychhrBixQpu3bqVJBkUFMSmTZsyOTmZeXl59SJ2l5eXR6lUym3b\ntnHEiBHcsmWL0MMOCAjQKI6bOXOmML1VX6qIY8eO5ZAhQxgSEkKyonr54cOHHD9+PJ2cnGhjY6Oh\nt/Lbb7+xb9++VbR9tIHqXFOmTKFMJuOuXbvo7Ows/N7Pz4/u7u5UKpXcunUr+/btW+X69THtpzpn\nbm4u27Vrx8jISM6dO5c//fQTSfLf//43u3fvLgS51WMsdSU3N5fvv/8+bW1thdhBeXk5k5OTKZPJ\nhDn5xMRETp48mbGxsVQqlQwMDKSLiwsvXrzIqKgoDcmNuqBShx06dCgjIiJYVFQk9MA9PT0ZHR3N\nxYsXc9iwYYL8SV5eHm1tbeno6Ei5XM49e/ZoxRYVZWVldHBwEKaKVMHiiIgIOjg48Pr165wwYQKD\ngoKYl5fH1NRUfvnll9WOMOvCwYMHOXToUCFFOj8/n99++y2/+eYbvnz5krNnz9Z4D2fPnuXo0aOF\n6aYXL15oTYK/sXjjVJKDgwMdHR2FaYljx47xzp07GgGmrKwsurq6aoh1aYvz589TIpFw8ODBPHjw\nIF+8eMGAgAC6u7tzx44dQkXs559/zrVr1zI2NpZff/01ly1bVq/FKyTp7OzMDRs28MKFC5w1axZX\nrVrF0tJSPnr0iCNGjKC7uzsPHDjAAQMGCLK9leeVa8ODBw/o5eUlOOXffvuNXl5e/Mc//kF7e3tB\n2G3VqlWC7PP333/Prl27ajR2Hh4e3L17d63teBVv2wDX93tSR+W8ly9fTlNTU548eZIDBgzgxYsX\nuXDhQjo7O2vIc2vLQVXXkVBNP2zYsEHDcVpZWVEulwvvMT8/nyEhIezXrx+3b9+uFXvu3LnD8ePH\nC9vq9/ntt9+yadOmGtl6qurmnTt3UiaTaQjMadOJOzk5CVXS6lOZhoaGPHToEFNTU+nh4cExY8bQ\nyMhI69LlZEUcSSKR0MDAgIGBgbx+/bpQobx//37++uuv7NChg5Bos2XLlgYXuatvmi5XrWf3CsaM\nGYPZs2djwIABOHDgAD788EN07NgRLVu2hI+PD65du4Y1a9bA1NQU7u7uWh/RdO/eHTk5Obh9+zZG\njhyJDRs24PPPP0dOTo6Qd66jowN7e3ucOXMGQUFBcHFxgYeHBzp16qR1eyqTnZ0NuVyOjIwMrFy5\nEk+fPsX48ePRoUMH7Nq1CwUFBQgICBCW3FRNSdRlauTIkSPw8fHBvXv3YGJigp49e+LIkSMoKyuD\nsbExYmNjMW7cOGzatAnDhg1Dv379EBsbi7KyMujr66NPnz44efIk/v73v2PevHno2rWrVp6FColE\nAqVSiTZt2qC0tBTh4eHw9PSEr68vPv74Y0RGRqJLly6YPHky3nvvPXTq1EljJbr6RJXPb21tDX9/\nf9jY2MDU1BSrV69Gz549ERISgvfee0/jXrRBq1atcPToUbRv3x5/+ctfEBMTgytXrmDEiBHo2bMn\ndu/ejXv37qGwsBD/+c9/MHHiRFhYWKBZs2Y4efIkbty4gdDQUAwfPlwr9hQXFyMyMhIffPABbt++\njaNHj+LIkSMoKirC4MGDkZGRATs7O/Tu3Rvh4eHC37idnR1CQ0MhkUgwaNAgYapFW+Tm5uLmzZsw\nMzODjo4OCgoK0LJlS2RkZKCwsBCTJk3CuHHjMGjQIPj5+dXLOt7du3dHdnY28vPzMW7cOHh4eMDc\n3BxlZWVIS0vD6NGj0bZtW+zYsQMRERFISEjAF198gd69e2vdlkajJt7Dz89PCJqWlpYKvd309HTu\n37+/3tX/8vLy2K5dO964cYOLFi2ioaGhEITauXMnLSwsNFZ+ayi2bdvGyZMnUy6Xs3///tyyZQs/\n/fRTurm58eDBg/T19RVS+rSRUaPOhAkTOHDgQIaFhXHt2rW8du0avb29mZSURKlUymvXrnHv3r10\ndnYWFktRDzA+evSowZ6Znp4eo6KiuGXLFlpaWlarldOQqL7fXbt2sW/fviTfXK2vDaKiorh69WqS\nFcHddu3acf78+VQoFLx27RodHR1pZ2dXRaW2PuwpLS3lDz/8QD09PRobG3P+/Pm0sbHhlClTuG7d\nOp46dYqWlpa0tbXl+PHjBelqsqJHrS3pmsrcunWLc+fOZWBgoMbP5XK5VlVP38TTp0+po6PDx48f\n8/Dhw/zqq69obm5OFxcXQYgzLy+P+/fvbzCbGpIap6v26NFDWKBFm5IRNeWvf/0rx44dS5LcunUr\nFy9eLEzbhIeHN8qc3rNnz6irqytIVJMVH3Z8fDwVCgVjY2M5btw4jdXXtMUvv/zCdu3aMSMjg1Kp\nlDKZjIsWLWJZWRkDAwMpl8tJVny86jIW2k7jex2N1QDXBJWTtrW1ZWRkpGBPfaYVVu5IbN26lZ9+\n+imnT5/OO3fuaNS3aEvG4k3cuHGDRUVFQv1PWFgYvb29SVZk/ah/O9pYs6EmxMbG0tzcnCtWrGBM\nTAzt7Ow4ZswYrUre14QlS5bQ0tKSZEXcYN68edTR0aGxsbFWa7HeRWrsGFQLfDQmenp6gta8qrfb\nULUJr8LLy0tjKUB18vPz69VhyWQy+vj4sLCwkO7u7nR0dKRSqeSNGzc4e/Zs3r17V3g+2qpHeFsa\nowGuKfn5+bS3t9faOhJvorqOxO3bt6sI3TWmw3R2dq5SaEk2vE1JSUnCCo+q5Tgbgx49eghBdqVS\nyYSEBI2Cwv9X3qryOSgoqMF6DdWxc+fORndOlVFJUDdGQ5ebm0sdHR1hxSdV8VxDjgpqQkM3wDUl\nPj6evr6+Ddrova4j0RiUlZXx7t27/O6774SpEvX1shubxu74vQsd4sbgrZKN582bV1+hjhoxdepU\nQcCrtjn/2iYiIgK6urqNcu2OHTvC29sbkyZNwtWrV/HRRx8B+D2HvLy8vE7iadoiJSUFxsbG1dYn\nNCbW1tawtrZu0GvevXsXJSUlVYT/WAeBxLrQrFkzFBQU4PLlywgICBCeR2PZU5nGtsHJyQk5OTnv\nVJvTEEjIauQBRd6axmyEx44di+3bt6Njx47vhCMQeTV5eXmN1pGoCSTrrFYr8r+P6BhERBqBd2U0\np867aJNI4yB+Bf8naGMNAJGG411sgN9Fm0QaB3HEICIiIiKigdhFEBERERHRQHQMIiIiIiIaiI5B\nREREREQD0TGIiIiIiGggOgaRPxz+/v4wNDSEsbExTExMcP78eQQFBaG4uPiNx27cuLFG+1XHqVOn\n0L59e5iamqJv376wsrLC4cOH33hcQkICkpOTa3VNEZHaULtllkRE/kdJTk7G4cOHkZqaiubNm+Pp\n06coKSnBxo0bMX36dLRu3fq1xwcFBcHZ2fmN+70KS0tLHDx4EABw6dIlyGQytG7dGqNGjXrlMfHx\n8dDR0dGa5LaIyJsQRwwifyiysrLQqVMnNG/eHECFrMi+ffuQmZkJGxsb2NraAgBmz54Nc3NzGBoa\nQrVkSXBwcJX92rZtK5x73759cHV1BQDs3bsXRkZGGDRo0CtlN4yNjbFs2TKEhIQAAA4ePIhhw4bB\n1NQUn3zyCXJycpCRkYEff/wRgYGBMDExQVJSEp48eYJJkyZhyJAhGDJkCM6cOVMfj0rkj0yjqTSJ\niDQChYWFHDRoEA0MDPj1118zISGBJKmvr8/c3FxhP5UMtUKhoLW1Na9cuVLtfm3bthX+v2/fPrq6\nupIkjYyMBLn158+fk6wQ7ZNKpRr2pKamsl+/fiSpsT7Gpk2buGDBApIVq82tX79e+N3UqVOF1fvu\n378vHC8ioi3EqSSRPxRt2rRBSkoKEhMTER8fjylTpmD16tUAKnSCVOzZswebNm2CQqHA48ePcf36\ndRgaGr7x/KpzfPzxx5gxYwbkcjkcHBzeuD8APHz4EHK5HFlZWSgtLUWvXr2q3S8uLg43btwQtgsK\nClBUVIQ//elPNXgCIiJvRnQMIn84mjRpAisrK1hZWcHIyAgREREAflfyvHfvHtavX49ffvkF7du3\nh6urK0pKSqo9l7rapnpQOjQ0FOfPn8fhw4dhZmaGlJSUao9PTU1F//79AQAeHh5YuHAhpFIpEhIS\n8KpVd0ni3LlzaNGixdveuohIjRBjDCJ/KG7fvo20tDRhOzU1Ffr6+tDR0UF+fj4AID8/H23atEG7\ndu2QnZ2N2NhYYX/1/QCga9euuHnzJsrLyxEdHS38PD09HUOGDMGKFSvQuXNnPHr0qIotly9fxqpV\nqzBnzhzhuu+//z4ACM5Kdc2CggJh287ODsHBwcL2xYsXa/s4RESqRRwxiPyhKCwshIeHB549QLUF\nSQAAAOZJREFUe4ZmzZqhd+/eCAsLw86dOzF27Fh0794dJ06cgImJCfr27Qs9PT1YWFgIx3/11Vca\n+61ZswZSqRSdO3fG4MGD8eLFCwCAj48P0tLSQBKjR4/GwIEDcerUKSQmJsLU1BRFRUXo0qULvvvu\nO9jY2AAAli9fjsmTJ0NXVxejRo3C/fv3AQD29vaYNGkSYmJiEBISguDgYMyZMwfGxsZQKBSwsrLC\n999/3/APU+T/FlFET0REREREA3EqSUREREREA9ExiIiIiIhoIDoGERERERENRMcgIiIiIqKB6BhE\nRERERDT4Lxy21xko6aSQAAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 26
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We will assume that per month the customer count should remain relatively steady. Any data outside a specific range in that month will be removed from the data set. The final result should have smooth graphs with no spikes.  \n",
      "\n",
      "***StateYearMonth*** - Here we group by State, Year of StatusDate, and Month of StatusDate.  \n",
      "***Daily['Outlier']*** - A boolean (True or False) value letting us know if the value in the CustomerCount column is ouside the acceptable range.  \n",
      "\n",
      "We will be using the attribute ***transform*** instead of ***apply***. The reason is that transform will keep the shape(# of rows and columns) of the dataframe the same and apply will not. By looking at the previous graphs, we can realize they are not resembling a gaussian distribution, this means we cannot use summary statistics like the mean and stDev. We use percentiles instead. Note that we run the risk of eliminating good data."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Calculate Outliers\n",
      "StateYearMonth = Daily.groupby([Daily.index.get_level_values(0), Daily.index.get_level_values(1).year, Daily.index.get_level_values(1).month])\n",
      "Daily['Lower'] = StateYearMonth['CustomerCount'].transform( lambda x: x.quantile(q=.25) - (1.5*x.quantile(q=.75)-x.quantile(q=.25)) )\n",
      "Daily['Upper'] = StateYearMonth['CustomerCount'].transform( lambda x: x.quantile(q=.75) + (1.5*x.quantile(q=.75)-x.quantile(q=.25)) )\n",
      "Daily['Outlier'] = (Daily['CustomerCount'] < Daily['Lower']) | (Daily['CustomerCount'] > Daily['Upper']) \n",
      "\n",
      "# Remove Ouliers\n",
      "Daily = Daily[Daily['Outlier'] == False]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 27
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The dataframe named ***Daily*** will hold customer counts that have been aggregated per day. The original data (df) has multiple records per day.  We are left with a data set that is indexed by both the state and the StatusDate. The Oulier column should be equal to ***false*** signifying that the record is not an outlier."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Daily.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th>CustomerCount</th>\n",
        "      <th>Lower</th>\n",
        "      <th>Upper</th>\n",
        "      <th>Outlier</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>State</th>\n",
        "      <th>StatusDate</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th rowspan=\"5\" valign=\"top\">FL</th>\n",
        "      <th>2009-02-02</th>\n",
        "      <td> 385</td>\n",
        "      <td> -69</td>\n",
        "      <td>  702</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-02-09</th>\n",
        "      <td> 125</td>\n",
        "      <td> -69</td>\n",
        "      <td>  702</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-02-16</th>\n",
        "      <td> 378</td>\n",
        "      <td> -69</td>\n",
        "      <td>  702</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-03-02</th>\n",
        "      <td> 722</td>\n",
        "      <td> 361</td>\n",
        "      <td> 1083</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-05-18</th>\n",
        "      <td> 962</td>\n",
        "      <td> 481</td>\n",
        "      <td> 1443</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 28,
       "text": [
        "                  CustomerCount  Lower  Upper Outlier\n",
        "State StatusDate                                     \n",
        "FL    2009-02-02            385    -69    702   False\n",
        "      2009-02-09            125    -69    702   False\n",
        "      2009-02-16            378    -69    702   False\n",
        "      2009-03-02            722    361   1083   False\n",
        "      2009-05-18            962    481   1443   False"
       ]
      }
     ],
     "prompt_number": 28
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We create a seperate dataframe named ***ALL*** which groups the Daily dataframe by StatusDate. We are essentially getting rid of the State column. The ***Max*** column represents the maximum customer count per month. The Max column is used to smooth out the graph."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Combine all markets\n",
      "\n",
      "# Get the max customer count by Date\n",
      "ALL = DataFrame(Daily['CustomerCount'].groupby(Daily.index.get_level_values(1)).sum())\n",
      "ALL.columns = ['CustomerCount'] # rename column\n",
      "\n",
      "# Group by Year and Month\n",
      "YearMonth = ALL.groupby([lambda x: x.year, lambda x: x.month])\n",
      "\n",
      "# What is the max customer count per Year and Month\n",
      "ALL['Max'] = YearMonth['CustomerCount'].transform(lambda x: x.max())\n",
      "ALL.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>CustomerCount</th>\n",
        "      <th>Max</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>StatusDate</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>2009-01-05</th>\n",
        "      <td> 1525</td>\n",
        "      <td> 1551</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-01-12</th>\n",
        "      <td>  471</td>\n",
        "      <td> 1551</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-01-19</th>\n",
        "      <td> 1551</td>\n",
        "      <td> 1551</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-01-26</th>\n",
        "      <td>  408</td>\n",
        "      <td> 1551</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2009-02-02</th>\n",
        "      <td>  385</td>\n",
        "      <td>  977</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 29,
       "text": [
        "            CustomerCount   Max\n",
        "StatusDate                     \n",
        "2009-01-05           1525  1551\n",
        "2009-01-12            471  1551\n",
        "2009-01-19           1551  1551\n",
        "2009-01-26            408  1551\n",
        "2009-02-02            385   977"
       ]
      }
     ],
     "prompt_number": 29
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "As you can see from the ***ALL*** dataframe above, in the month of January 2009, the maximum customer count was 1,743. If we used ***apply***, we would have a dataframe with (Year and Month) as the index and just the *Max* column with the value of 1,743. "
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "----------------------------------  \n",
      "There is also an interest to gauge if the current customer counts were reaching certain goals the company had established. The task here is to visually show if the current customer counts are meeting the goals listed below. We will call the goals ***BHAG*** (Big Hairy Annual Goal).  \n",
      "\n",
      "* 12/31/2011 - 1,000 customers  \n",
      "* 12/31/2012 - 2,000 customers  \n",
      "* 12/31/2013 - 3,000 customers  \n",
      "\n",
      "We will be using the **date_range** function to create our dates.  \n",
      "\n",
      "***Definition:*** date_range(start=None, end=None, periods=None, freq='D', tz=None, normalize=False, name=None)  \n",
      "***Docstring:*** Return a fixed frequency datetime index, with day (calendar) as the default frequency  \n",
      "\n",
      "By choosing the frequency to be ***A*** or annual we will be able to get the three target dates from above."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "date_range?"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 30
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Create the BHAG dataframe\n",
      "data = [1000,2000,3000]\n",
      "idx = date_range(start='12/31/2011', end='12/31/2013', freq='A')\n",
      "BHAG = DataFrame(data, index=idx, columns=['BHAG'])\n",
      "BHAG"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>BHAG</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>2011-12-31</th>\n",
        "      <td> 1000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2012-12-31</th>\n",
        "      <td> 2000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2013-12-31</th>\n",
        "      <td> 3000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 31,
       "text": [
        "            BHAG\n",
        "2011-12-31  1000\n",
        "2012-12-31  2000\n",
        "2013-12-31  3000"
       ]
      }
     ],
     "prompt_number": 31
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Combining dataframes as we have learned in previous lesson is made simple using the ***concat*** function. Remember when we choose ***axis = 0*** we are appending row wise."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Combine the BHAG and the ALL data set \n",
      "combined = concat([ALL,BHAG], axis=0)\n",
      "combined = combined.sort(axis=0)\n",
      "combined.tail()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>BHAG</th>\n",
        "      <th>CustomerCount</th>\n",
        "      <th>Max</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>2012-12-10</th>\n",
        "      <td>  NaN</td>\n",
        "      <td>  73</td>\n",
        "      <td> 633</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2012-12-17</th>\n",
        "      <td>  NaN</td>\n",
        "      <td> 138</td>\n",
        "      <td> 633</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2012-12-31</th>\n",
        "      <td> 2000</td>\n",
        "      <td> NaN</td>\n",
        "      <td> NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2012-12-31</th>\n",
        "      <td>  NaN</td>\n",
        "      <td> 633</td>\n",
        "      <td> 633</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2013-12-31</th>\n",
        "      <td> 3000</td>\n",
        "      <td> NaN</td>\n",
        "      <td> NaN</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 32,
       "text": [
        "            BHAG  CustomerCount  Max\n",
        "2012-12-10   NaN             73  633\n",
        "2012-12-17   NaN            138  633\n",
        "2012-12-31  2000            NaN  NaN\n",
        "2012-12-31   NaN            633  633\n",
        "2013-12-31  3000            NaN  NaN"
       ]
      }
     ],
     "prompt_number": 32
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fig, axes = plt.subplots(figsize=(10, 5))\n",
      "combined['BHAG'].fillna(method='pad').plot(color='green', label='BHAG')\n",
      "combined['Max'].plot(color='blue', label='All Markets')\n",
      "plt.legend(loc='best')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 33,
       "text": [
        "<matplotlib.legend.Legend at 0x593ee90>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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PHo3Tp08Hbd+iRYtw5MgRXHfddcjMzMSGDRtaHKsdENkfoSByjCLHpiByjCLHpiByjC2J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\n"
      }
     ],
     "prompt_number": 33
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "There was also a need to forecast next year's customer count and we can do this in a couple of simple steps. We will first group the ***combined*** dataframe by ***Year*** and place the maximum customer count for that year. This will give us one row per Year.   "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Group by Year and then get the max value per year\n",
      "Year = combined.groupby(lambda x: x.year).max()\n",
      "Year"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>BHAG</th>\n",
        "      <th>CustomerCount</th>\n",
        "      <th>Max</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>2009</th>\n",
        "      <td>  NaN</td>\n",
        "      <td> 2421</td>\n",
        "      <td> 2421</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2010</th>\n",
        "      <td>  NaN</td>\n",
        "      <td> 2598</td>\n",
        "      <td> 2598</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2011</th>\n",
        "      <td> 1000</td>\n",
        "      <td> 2604</td>\n",
        "      <td> 2604</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2012</th>\n",
        "      <td> 2000</td>\n",
        "      <td> 2420</td>\n",
        "      <td> 2420</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2013</th>\n",
        "      <td> 3000</td>\n",
        "      <td>  NaN</td>\n",
        "      <td>  NaN</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 34,
       "text": [
        "      BHAG  CustomerCount   Max\n",
        "2009   NaN           2421  2421\n",
        "2010   NaN           2598  2598\n",
        "2011  1000           2604  2604\n",
        "2012  2000           2420  2420\n",
        "2013  3000            NaN   NaN"
       ]
      }
     ],
     "prompt_number": 34
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Add a column representing the percent change per year\n",
      "Year['YR_PCT_Change'] = Year['Max'].pct_change(periods=1)\n",
      "Year"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>BHAG</th>\n",
        "      <th>CustomerCount</th>\n",
        "      <th>Max</th>\n",
        "      <th>YR_PCT_Change</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>2009</th>\n",
        "      <td>  NaN</td>\n",
        "      <td> 2421</td>\n",
        "      <td> 2421</td>\n",
        "      <td>      NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2010</th>\n",
        "      <td>  NaN</td>\n",
        "      <td> 2598</td>\n",
        "      <td> 2598</td>\n",
        "      <td> 0.073110</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2011</th>\n",
        "      <td> 1000</td>\n",
        "      <td> 2604</td>\n",
        "      <td> 2604</td>\n",
        "      <td> 0.002309</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2012</th>\n",
        "      <td> 2000</td>\n",
        "      <td> 2420</td>\n",
        "      <td> 2420</td>\n",
        "      <td>-0.070661</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2013</th>\n",
        "      <td> 3000</td>\n",
        "      <td>  NaN</td>\n",
        "      <td>  NaN</td>\n",
        "      <td>      NaN</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 35,
       "text": [
        "      BHAG  CustomerCount   Max  YR_PCT_Change\n",
        "2009   NaN           2421  2421            NaN\n",
        "2010   NaN           2598  2598       0.073110\n",
        "2011  1000           2604  2604       0.002309\n",
        "2012  2000           2420  2420      -0.070661\n",
        "2013  3000            NaN   NaN            NaN"
       ]
      }
     ],
     "prompt_number": 35
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "To get next year's end customer count we will assume our current growth rate remains constant. We then will increase this years customer count by that amount and that will be our forecast for next year. "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "(1 + Year.ix[2012,'YR_PCT_Change']) * Year.ix[2012,'Max']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 36,
       "text": [
        "2249.0015360983102"
       ]
      }
     ],
     "prompt_number": 36
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Present Data  \n",
      "\n",
      "Create individual Graphs per Market.  "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# First Graph\n",
      "ALL['Max'].plot(figsize=(10, 5));plt.title('ALL Markets')\n",
      "\n",
      "# Last four Graphs\n",
      "fig, axes = plt.subplots(nrows=2, ncols=2, figsize=(20, 10))\n",
      "fig.subplots_adjust(hspace=1.0) ## Create space between plots\n",
      "\n",
      "Daily.loc['FL']['CustomerCount']['2012':].fillna(method='pad').plot(ax=axes[0,0]); axes[0,0].set_title('Florida')\n",
      "Daily.loc['GA']['CustomerCount']['2012':].fillna(method='pad').plot(ax=axes[0,1]); axes[0,1].set_title('Georgia')\n",
      "Daily.loc['TX']['CustomerCount']['2012':].fillna(method='pad').plot(ax=axes[1,0]); axes[1,0].set_title('Texas')\n",
      "Daily.loc['NY']['CustomerCount']['2012':].fillna(method='pad').plot(ax=axes[1,1]); axes[1,1].set_title('North East')\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 37,
       "text": [
        "<matplotlib.text.Text at 0x73e1c10>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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jjB05coS53W7mdrvZY489xqZOncoYY2z27Nls+fLl3s9NmzaNrV69mu3YsYMNGTLEu/3L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\n3Ve5oeTn52PixInw8PCAo6Mj5HI5cnJyRtyuoKAAxcXFD/WZjLGxhRc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      },
      {
       "output_type": "display_data",
       "png": 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6KJ9++mmWx/j4+OCTwxns5X4WFhZGUFAQAKVLl6Zu3bo0adIEuDAVIf32N99E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\nq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Sqcj4b7ddu2bXTkyBFhWewCmTqdTvjuZ2dnU2pqKk2cOJGGDBlC+/bt+z97dx4WVdn+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\n"
      }
     ],
     "prompt_number": 37
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 37
    }
   ],
   "metadata": {}
  }
 ]
}