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Experiment.ipnb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Reproducibility from the start"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Peadar Coyle Thu Oct 22 2015 \n",
"\n",
"CPython 3.4.3\n",
"IPython 4.0.0\n",
"\n",
"numpy 1.10.1\n",
"pandas 0.17.0\n",
"scikit-learn 0.16.1\n",
"matplotlib 1.4.3\n",
"Seaborn 0.6.0\n",
"assertpy 0.8\n",
"nose 1.3.7\n",
"csvkit 0.9.1\n",
"\n",
"compiler : GCC 4.2.1 (Apple Inc. build 5577)\n",
"system : Darwin\n",
"release : 14.4.0\n",
"machine : x86_64\n",
"processor : i386\n",
"CPU cores : 8\n",
"interpreter: 64bit\n"
]
}
],
"source": [
"\n",
"#%install_ext https://raw.githubusercontent.com/rasbt/watermark/master/watermark.py\n",
"%load_ext watermark \n",
"%watermark -a 'Peadar Coyle' -nmv --packages numpy,pandas,scikit-learn,matplotlib,Seaborn,assertpy,nose,csvkit"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Are UFO's real? #\n",
"* We are going to investigate this extremely important question in this notebook\n",
"* Let us start by writing down what the key questions are, so that we have a guide to inform us. \n",
"\n",
"\n",
"The Colonel would like to know:\n",
"\n",
"- What the hell is going on? What are all these reports about?\n",
"- Are UFO's real? Provide hard evidence to support your answer.\n",
"\n",
"Let us start with one of our data sets - we will use two different **frameworks** to scope this problem.\n",
"\n",
"* CoNVO - Context, Need, Vision, Outcome \n",
"\n",
"And for the actual data science workflow we use \n",
"* Obtain, Scrub, Explore, Model, Interpret, Communicate \n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For our case the context is that the military has been hearing things about UFO's - and various resources have been spent on this problem. \n",
"\n",
"* **Context** - We have been hearing things about UFO's and it is making for bad press coverage for the Army and Armed forces, people are scared and Buzzfeed is creating quite a bit of misinformation with its weekly 'I made love to an alien' feature. \n",
"* **Need** - We need to clarify the position of UFO's and what the hell is going on, is it a hoax for example? Are all the settings occuring in the same region of the US or UK. This is a joint NATO project to find out what is happening. \n",
"* **Vision** - We envision a robust, reproducible analysis with diagrams and visuals which can explain the phenomenoa in a rigorous way. We know that although our Colonel isn't highly mathematical - he has experience of listening to technical experts such as his bomb disposal team and taking advice from experts about diseases. So he's got a cultural literacy of scientific evidence. \n",
"* **Outcome** - The review will be in two parts:\n",
"\n",
" - Part 1 - First we'd like you to present and defend your findings in the context of presenting to a statistics lay-person (\"The Colonel\"). You can present it in any way you want, so long as it relevant to that context.\n",
" - Part 2 - Further investigation. Working alongside one of us in a pair programming environment, we'll ask you to extend your analysis in an as-yet unspecified way.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Obtain \n",
"* I used [import.io](http://import.io) to automate the scraping and crawling of the data. \n",
"* I did this because I wanted to spend as little time as possible on obtaining data :) \n",
"* Later we'll come back to this and write a quick scraper, if we have time. \n",
"* We used the magic functionality on Import (disclosure: Peadar was an Intern at Import.io at one point, but has no vested interest in their success) \n",
"* The list of urls we used is in list_of_urls.md \n",
"* We've saved the csv file as ufo_extract_several_years.csv"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# CSV Cutting and cleaning\n",
"* For exploration of csv data I prefer csvkit - this helps explore the data\n",
"* pip install csvkit installs the latest version\n",
"* We want to look at duration value, because at some first explorations (deleted) we saw it had duration data in it.\n",
"* duration_value seems to describe how long the 'ufo' event lasted for. \n",
"* We'll use some Unix fu after this to remove some of the common strings in the data."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"|-----------------------------|\r\n",
"| duration_value |\r\n",
"|-----------------------------|\r\n",
"| 1 minute |\r\n",
"| 5 minutes |\r\n",
"| 3 minute |\r\n",
"| 10 |\r\n",
"| 1 minute |\r\n",
"| 15 minutes |\r\n",
"| 1-2 minutes |\r\n"
]
}
],
"source": [
"! csvcut -c duration_value ufo_extract_several_years.csv | csvlook | head "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* Are there any of the common csv errors - like mixed spacing etc in this column?\n",
"* We will use csvclean to investigate this."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"No errors.\r\n"
]
}
],
"source": [
"! csvcut -c duration_value ufo_extract_several_years.csv | csvclean"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"|-----------------------------|\r\n",
"| duration_value |\r\n",
"|-----------------------------|\r\n",
"| 1 minute |\r\n",
"| 5 minutes |\r\n",
"| 3 minute |\r\n",
"| 10 |\r\n",
"| 1 minute |\r\n",
"| 15 minutes |\r\n",
"| 1-2 minutes |\r\n"
]
}
],
"source": [
"! csvcut -c duration_value ufo_extract_several_years.csv | csvlook | head"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* We see above that 'about' is a string in this and we don't need this, we'll need to replace this with some sed. \n",
"* We also replace things like tilde's and some other thing things in this file \n",
"* Since this is human entered data - we can also remove strings like 'approx.' since that isn't of much use to us. \n",
"* We replace SECONDS with '5 seconds' because that is a fair assumption.\n",
"* Some of the regex looks a bit nasty because I couldn't get GNUSed to work on my Mac. \n",
"* Had difficulty cleaning this stuff up."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Cleaning\n",
"* quick and dirty regex and sed"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"! csvcut -c duration_value ufo_extract_several_years.csv |sed 's/about//' | sed 's/~//' |\\\n",
"sed \"s/\\bmins\\b/minutes/g\"|sed 's/Not sure was driving//g' | sed 's/[[:<:]]hr[[:>:]]/hours/g'| \\\n",
"sed 's/>//g' | sed 's/<//g' |sed 's/[[:<:]]Approx.[[:>:]]//g'| sed 's/[[:<:]]second[[:>:]]/seconds/g' | \\\n",
"sed \"s/[[:<:]]minute[[:>:]]/minutes/g\"| sed 's/[[:<:]]approx[[:>:]]//g' |\\\n",
"sed 's/Not sure//g' |sed \"s/[[:<:]]mins[[:>:]]/minutes/g\"| \\\n",
"sed 's/[[:<:]]SECS[[:>:]]/seconds/g' | sed 's/[[:<:]]hrs[[:>:]]/hours/g'| sed 's/[[:<:]]sec.[[:>:]]/seconds/g' |\\\n",
"sed \"s/[[:<:]]SECONDS[[:>:]]/5 seconds/g\"| sed \"s/[[:<:]]several[[:>:]]/5/g\"| sed \"s/[[:<:]]few[[:>:]]/3/g\" | \\\n",
"sed \"s/[[:<:]]2-5[[:>:]]/5/g\"| sed \"s/[[:<:]]minutes+[[:>:]]/minutes /g\"|\\\n",
"sed \"s/[[:<:]]mins[[:>:]]/minutes /g\" | sed \"s/[[:<:]]min.[[:>:]]/minutes/g\" > new-duration-file2.csv\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"One of the functionalities in CSVKit which is very cool is that you can summarize the statistics of your file. \n",
"Let us first look at the duration_value which is not replaced or has not had additions.|"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" 1. duration_value\r\n",
"\t<class 'str'>\r\n",
"\tNulls: True\r\n",
"\tUnique values: 2432\r\n",
"\t5 most frequent values:\r\n",
"\t\t5:\t7222\r\n",
"\t\t10:\t5622\r\n",
"\t\t2:\t5475\r\n",
"\t\t1:\t5095\r\n",
"\t\t3:\t4250\r\n",
"\tMax length: 25\r\n",
"\r\n",
"Row count: 64775\r\n"
]
}
],
"source": [
"!csvcut -c duration_value ufo_extract_several_years.csv | csvstat "
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" 1. _unnamed\n",
"\t<class 'NoneType'>\n",
"\tNulls: True\n",
"\tValues: \n",
" 2. ---------------------------------\n",
"\t<class 'str'>\n",
"\tNulls: True\n",
"\tUnique values: 6493\n",
"\t5 most frequent values:\n",
"\t\t5 minutes:\t4563\n",
"\t\t2 minutes:\t3342\n",
"\t\t10 minutes:\t3019\n",
"\t\t1 minutes:\t2854\n",
"\t\t3 minutes:\t2513\n",
"\tMax length: 33\n",
" 3. _unnamed\n",
"\t<class 'NoneType'>\n",
"\tNulls: True\n",
"\tValues: \n",
"\n",
"Row count: 64778\n"
]
}
],
"source": [
"!csvlook new-duration-file2.csv | csvstat"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* We see that we have lots of frequent values so we have 4682 occurrences of 5 minutes\n",
"* We have 6296 unique values, which is about 10% of the total row count\n",
"* This indicates a certain amount of human entered data"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"| 4 min |\r\n",
"| 1 hour |\r\n",
"| 10 minutes |\r\n",
"| 2 minutes |\r\n",
"| 1-3 minutes |\r\n",
"| 20-30min |\r\n",
"| 15 minutes |\r\n",
"| 1-3 minutes |\r\n",
"| 5 seconds |\r\n",
"|---------------------------------|\r\n"
]
}
],
"source": [
"! csvlook new-duration-file2.csv | tail"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np \n",
"import seaborn as sns\n",
"import statsmodels.api as sm\n",
"# from pandas_datareader import data\n",
"# from pandas.io import data\n",
"import matplotlib.pyplot as plt\n",
"from itertools import chain\n",
"from toolz import partitionby\n",
"# A cool testing library from Activision Games Science\n",
"from assertpy import assert_that\n",
"%matplotlib inline\n",
"pd.options.display.max_rows = 30\n",
"sns.set_style('white')\n",
"plt.rcParams['figure.figsize'] = (12, 8)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Our first step is to leverage the power of Wes McKinney and all the other cool kids in the Pandas world. \n",
"\n",
"* We'll open up the csv file in a dataframe format, our data is tabular so this makes sense. \n"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"df = pd.read_csv(\"ufo_extract_several_years.csv\", parse_dates=['datetime_link/_text', 'duration_value'])"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": false
},
"source": [
"Now we need to join in the cleaned file from the the csv file - into our data frame"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"df_clean_duration = pd.read_csv(\"new-duration-file.csv\", names=['duration_value_clean'], header=0 )\n",
"\n",
"df_clean_duration\n",
"\n",
"df = pd.merge(df, df_clean_duration, left_index=True, right_index=True)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"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>datetime_link/_text</th>\n",
" <th>shape_value</th>\n",
" <th>posted_value</th>\n",
" <th>datetime_link/_source</th>\n",
" <th>city_value</th>\n",
" <th>datetime_link</th>\n",
" <th>state_value</th>\n",
" <th>duration_value</th>\n",
" <th>summary_description</th>\n",
" <th>pageUrl</th>\n",
" <th>summary_description_dates/_source</th>\n",
" <th>summary_description_dates/_utc</th>\n",
" <th>summary_description_dates</th>\n",
" <th>duration_value_clean</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2015-10-09 08:56:00</td>\n",
" <td>Disk</td>\n",
" <td>10/9/15</td>\n",
" <td>122/S122655.html</td>\n",
" <td>Albuquerque</td>\n",
" <td>http://www.nuforc.org/webreports/122/S122655.html</td>\n",
" <td>NM</td>\n",
" <td>1 minute</td>\n",
" <td>Disk-shaped object above hot air balloons. ((N...</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe201510.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2015-10-09 07:07:00</td>\n",
" <td>Triangle</td>\n",
" <td>10/9/15</td>\n",
" <td>122/S122646.html</td>\n",
" <td>Puget Sound (bet Seattle/Bainbridge Island)</td>\n",
" <td>http://www.nuforc.org/webreports/122/S122646.html</td>\n",
" <td>WA</td>\n",
" <td>5 minutes</td>\n",
" <td>Cloaked aircraft (military?) over Puget Sound ...</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe201510.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>5 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2015-10-09 06:40:00</td>\n",
" <td>Disk</td>\n",
" <td>10/9/15</td>\n",
" <td>122/S122656.html</td>\n",
" <td>Pacoima</td>\n",
" <td>http://www.nuforc.org/webreports/122/S122656.html</td>\n",
" <td>CA</td>\n",
" <td>3 minute</td>\n",
" <td>Seen by a cousin of my employee... cannot veri...</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe201510.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>3 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2015-10-09 00:00:00</td>\n",
" <td>Disk</td>\n",
" <td>10/9/15</td>\n",
" <td>122/S122637.html</td>\n",
" <td>Stroud (UK/England)</td>\n",
" <td>http://www.nuforc.org/webreports/122/S122637.html</td>\n",
" <td>NaN</td>\n",
" <td>10</td>\n",
" <td>Massive spaceship appeared from nowhere in sky...</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe201510.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2015-10-08 23:55:00</td>\n",
" <td>Rectangle</td>\n",
" <td>10/9/15</td>\n",
" <td>122/S122644.html</td>\n",
" <td>Exeter</td>\n",
" <td>http://www.nuforc.org/webreports/122/S122644.html</td>\n",
" <td>PA</td>\n",
" <td>1 minute</td>\n",
" <td>Large Bright green rectangular light moves nor...</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe201510.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>2015-10-08 23:15:00</td>\n",
" <td>Light</td>\n",
" <td>10/9/15</td>\n",
" <td>122/S122652.html</td>\n",
" <td>Nampa</td>\n",
" <td>http://www.nuforc.org/webreports/122/S122652.html</td>\n",
" <td>ID</td>\n",
" <td>15 minutes</td>\n",
" <td>The objects moved across night sky lights on t...</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe201510.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>15 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2015-10-08 23:00:00</td>\n",
" <td>Triangle</td>\n",
" <td>10/9/15</td>\n",
" <td>122/S122648.html</td>\n",
" <td>Martinez</td>\n",
" <td>http://www.nuforc.org/webreports/122/S122648.html</td>\n",
" <td>CA</td>\n",
" <td>1-2 minutes</td>\n",
" <td>Black triangular UFO over Martinez, CA.</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe201510.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1-2 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>2015-10-08 23:00:00</td>\n",
" <td>Unknown</td>\n",
" <td>10/9/15</td>\n",
" <td>122/S122639.html</td>\n",
" <td>Fayetteville</td>\n",
" <td>http://www.nuforc.org/webreports/122/S122639.html</td>\n",
" <td>AR</td>\n",
" <td>5 minutes</td>\n",
" <td>Four blinking lights over Fayetteville.</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe201510.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>5 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>2015-10-08 22:00:00</td>\n",
" <td>Cylinder</td>\n",
" <td>10/9/15</td>\n",
" <td>122/S122634.html</td>\n",
" <td>((Unspecified by witness))</td>\n",
" <td>http://www.nuforc.org/webreports/122/S122634.html</td>\n",
" <td>NaN</td>\n",
" <td>40 seconds</td>\n",
" <td>I saw a bright green cylinder shape craft with...</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe201510.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>40 seconds</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>2015-10-08 22:00:00</td>\n",
" <td>Triangle</td>\n",
" <td>10/9/15</td>\n",
" <td>122/S122643.html</td>\n",
" <td>Clinton</td>\n",
" <td>http://www.nuforc.org/webreports/122/S122643.html</td>\n",
" <td>MT</td>\n",
" <td>30 seconds</td>\n",
" <td>Large black triangle with dull orange lights.</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe201510.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>30 seconds</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>2015-10-08 21:30:00</td>\n",
" <td>Circle</td>\n",
" <td>10/9/15</td>\n",
" <td>122/S122653.html</td>\n",
" <td>Stafford</td>\n",
" <td>http://www.nuforc.org/webreports/122/S122653.html</td>\n",
" <td>VA</td>\n",
" <td>60 seconds</td>\n",
" <td>Large, white, unmoving object above tree line.</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe201510.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>60 seconds</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>2015-10-08 21:00:00</td>\n",
" <td>Flash</td>\n",
" <td>10/9/15</td>\n",
" <td>122/S122620.html</td>\n",
" <td>Rahim Yar Khan (Pakistan)</td>\n",
" <td>http://www.nuforc.org/webreports/122/S122620.html</td>\n",
" <td>NaN</td>\n",
" <td>30 minutes</td>\n",
" <td>Just see moving light on sky. Coming from surf...</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe201510.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>30 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>2015-10-08 10:05:00</td>\n",
" <td>Teardrop</td>\n",
" <td>10/9/15</td>\n",
" <td>122/S122650.html</td>\n",
" <td>Fresno</td>\n",
" <td>http://www.nuforc.org/webreports/122/S122650.html</td>\n",
" <td>CA</td>\n",
" <td>20 seconds</td>\n",
" <td>20 to 30 black objects hovering in sky.</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe201510.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>20 seconds</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>2015-10-08 10:05:00</td>\n",
" <td>Teardrop</td>\n",
" <td>10/9/15</td>\n",
" <td>122/S122640.html</td>\n",
" <td>Fresno</td>\n",
" <td>http://www.nuforc.org/webreports/122/S122640.html</td>\n",
" <td>CA</td>\n",
" <td>20 seconds</td>\n",
" <td>Mass sighting of 30-40 black objects over Fres...</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe201510.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>20 seconds</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>2015-10-08 06:00:00</td>\n",
" <td>Changing</td>\n",
" <td>10/9/15</td>\n",
" <td>122/S122636.html</td>\n",
" <td>Corpus Christi</td>\n",
" <td>http://www.nuforc.org/webreports/122/S122636.html</td>\n",
" <td>TX</td>\n",
" <td>30 minutes</td>\n",
" <td>Taking pictures of the moon when I saw the obj...</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe201510.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>30 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64752</th>\n",
" <td>2004-01-02 11:45:00</td>\n",
" <td>Triangle</td>\n",
" <td>1/17/04</td>\n",
" <td>034/S34385.html</td>\n",
" <td>El Segundo</td>\n",
" <td>http://www.nuforc.org/webreports/034/S34385.html</td>\n",
" <td>CA</td>\n",
" <td>few seconds</td>\n",
" <td>Bright shiny triangular object droped from the...</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe200401.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>5 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64753</th>\n",
" <td>2004-01-02 11:45:00</td>\n",
" <td>Triangle</td>\n",
" <td>3/2/04</td>\n",
" <td>035/S35062.html</td>\n",
" <td>Long Beach/Lakewood City Limt</td>\n",
" <td>http://www.nuforc.org/webreports/035/S35062.html</td>\n",
" <td>CA</td>\n",
" <td>3 sec.</td>\n",
" <td>I also seen the shiny bright triangle!</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe200401.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>lights</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64754</th>\n",
" <td>2004-01-02 07:35:00</td>\n",
" <td>Circle</td>\n",
" <td>1/22/04</td>\n",
" <td>034/S34552.html</td>\n",
" <td>Wailea</td>\n",
" <td>http://www.nuforc.org/webreports/034/S34552.html</td>\n",
" <td>HI</td>\n",
" <td>10 min</td>\n",
" <td>A Bright Orange Pulsating Orb</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe200401.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>30 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64755</th>\n",
" <td>2004-01-01 22:00:00</td>\n",
" <td>Triangle</td>\n",
" <td>8/5/09</td>\n",
" <td>070/S70685.html</td>\n",
" <td>Kosovo</td>\n",
" <td>http://www.nuforc.org/webreports/070/S70685.html</td>\n",
" <td>NaN</td>\n",
" <td>5 - 10 seconds</td>\n",
" <td>Massive silent black triangle over Kosovo</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe200401.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2min</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64756</th>\n",
" <td>2004-01-01 18:00:00</td>\n",
" <td>NaN</td>\n",
" <td>1/17/04</td>\n",
" <td>034/S34408.html</td>\n",
" <td>Beatty (near)</td>\n",
" <td>http://www.nuforc.org/webreports/034/S34408.html</td>\n",
" <td>OR</td>\n",
" <td>nan</td>\n",
" <td>Unusual object.</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe200401.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Aircraft activities over</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64757</th>\n",
" <td>2004-01-01 17:41:00</td>\n",
" <td>Changing</td>\n",
" <td>1/17/04</td>\n",
" <td>034/S34252.html</td>\n",
" <td>Multiple</td>\n",
" <td>http://www.nuforc.org/webreports/034/S34252.html</td>\n",
" <td>NH</td>\n",
" <td>1 hour</td>\n",
" <td>Three possible communicating ufos above highwa...</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe200401.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64758</th>\n",
" <td>2004-01-01 17:38:00</td>\n",
" <td>Flash</td>\n",
" <td>1/17/04</td>\n",
" <td>034/S34254.html</td>\n",
" <td>Longview</td>\n",
" <td>http://www.nuforc.org/webreports/034/S34254.html</td>\n",
" <td>WA</td>\n",
" <td>30 seconds</td>\n",
" <td>Entire sky lit up with two seperate flashes ne...</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe200401.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>4 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64759</th>\n",
" <td>2004-01-01 17:30:00</td>\n",
" <td>Changing</td>\n",
" <td>1/17/04</td>\n",
" <td>034/S34277.html</td>\n",
" <td>Atlanta</td>\n",
" <td>http://www.nuforc.org/webreports/034/S34277.html</td>\n",
" <td>GA</td>\n",
" <td>30 minutes</td>\n",
" <td>The black object changed from a rectangle to a...</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe200401.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1 hour</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64760</th>\n",
" <td>2004-01-01 15:30:00</td>\n",
" <td>Disk</td>\n",
" <td>1/17/04</td>\n",
" <td>034/S34294.html</td>\n",
" <td>Flowery Branch</td>\n",
" <td>http://www.nuforc.org/webreports/034/S34294.html</td>\n",
" <td>GA</td>\n",
" <td>several minutes</td>\n",
" <td>HBCCUFO CANADIAN REPORT: Disk shaped object.</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe200401.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>10 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64761</th>\n",
" <td>2004-01-01 12:30:00</td>\n",
" <td>Light</td>\n",
" <td>1/17/04</td>\n",
" <td>034/S34289.html</td>\n",
" <td>Bakersville</td>\n",
" <td>http://www.nuforc.org/webreports/034/S34289.html</td>\n",
" <td>NC</td>\n",
" <td>lights</td>\n",
" <td>I walked into the woods alone!</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe200401.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64762</th>\n",
" <td>2004-01-01 12:00:00</td>\n",
" <td>Fireball</td>\n",
" <td>1/17/04</td>\n",
" <td>034/S34482.html</td>\n",
" <td>London (UK/England)</td>\n",
" <td>http://www.nuforc.org/webreports/034/S34482.html</td>\n",
" <td>NaN</td>\n",
" <td>30 mins</td>\n",
" <td>a bright light. It was hitting me it wouldnt s...</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe200401.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1-3 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64763</th>\n",
" <td>2004-01-01 11:30:00</td>\n",
" <td>Changing</td>\n",
" <td>3/2/04</td>\n",
" <td>035/S35046.html</td>\n",
" <td>Saint-Louis (Canada)</td>\n",
" <td>http://www.nuforc.org/webreports/035/S35046.html</td>\n",
" <td>NB</td>\n",
" <td>2min</td>\n",
" <td>three dots making circles around themselves</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe200401.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>20-30min</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64764</th>\n",
" <td>2004-01-01 10:45:00</td>\n",
" <td>Triangle</td>\n",
" <td>1/17/04</td>\n",
" <td>034/S34248.html</td>\n",
" <td>Tampa</td>\n",
" <td>http://www.nuforc.org/webreports/034/S34248.html</td>\n",
" <td>FL</td>\n",
" <td>Aircraft activities over</td>\n",
" <td>prior to the football game between Iowa&amp;Florid...</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe200401.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>15 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64765</th>\n",
" <td>2004-01-01 02:30:00</td>\n",
" <td>Triangle</td>\n",
" <td>4/27/04</td>\n",
" <td>036/S36074.html</td>\n",
" <td>Belleville</td>\n",
" <td>http://www.nuforc.org/webreports/036/S36074.html</td>\n",
" <td>IL</td>\n",
" <td>nan</td>\n",
" <td>Irritating sounds from a low flying object</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe200401.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1-3 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64766</th>\n",
" <td>2004-01-01 02:00:00</td>\n",
" <td>Formation</td>\n",
" <td>1/17/04</td>\n",
" <td>034/S34241.html</td>\n",
" <td>Boston</td>\n",
" <td>http://www.nuforc.org/webreports/034/S34241.html</td>\n",
" <td>MA</td>\n",
" <td>4 min</td>\n",
" <td>Two amber lights just above the city skyline a...</td>\n",
" <td>http://www.nuforc.org/webreports/ndxe200401.html</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>5 seconds</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>64767 rows × 14 columns</p>\n",
"</div>"
],
"text/plain": [
" datetime_link/_text shape_value posted_value datetime_link/_source \\\n",
"0 2015-10-09 08:56:00 Disk 10/9/15 122/S122655.html \n",
"1 2015-10-09 07:07:00 Triangle 10/9/15 122/S122646.html \n",
"2 2015-10-09 06:40:00 Disk 10/9/15 122/S122656.html \n",
"3 2015-10-09 00:00:00 Disk 10/9/15 122/S122637.html \n",
"4 2015-10-08 23:55:00 Rectangle 10/9/15 122/S122644.html \n",
"5 2015-10-08 23:15:00 Light 10/9/15 122/S122652.html \n",
"6 2015-10-08 23:00:00 Triangle 10/9/15 122/S122648.html \n",
"7 2015-10-08 23:00:00 Unknown 10/9/15 122/S122639.html \n",
"8 2015-10-08 22:00:00 Cylinder 10/9/15 122/S122634.html \n",
"9 2015-10-08 22:00:00 Triangle 10/9/15 122/S122643.html \n",
"10 2015-10-08 21:30:00 Circle 10/9/15 122/S122653.html \n",
"11 2015-10-08 21:00:00 Flash 10/9/15 122/S122620.html \n",
"12 2015-10-08 10:05:00 Teardrop 10/9/15 122/S122650.html \n",
"13 2015-10-08 10:05:00 Teardrop 10/9/15 122/S122640.html \n",
"14 2015-10-08 06:00:00 Changing 10/9/15 122/S122636.html \n",
"... ... ... ... ... \n",
"64752 2004-01-02 11:45:00 Triangle 1/17/04 034/S34385.html \n",
"64753 2004-01-02 11:45:00 Triangle 3/2/04 035/S35062.html \n",
"64754 2004-01-02 07:35:00 Circle 1/22/04 034/S34552.html \n",
"64755 2004-01-01 22:00:00 Triangle 8/5/09 070/S70685.html \n",
"64756 2004-01-01 18:00:00 NaN 1/17/04 034/S34408.html \n",
"64757 2004-01-01 17:41:00 Changing 1/17/04 034/S34252.html \n",
"64758 2004-01-01 17:38:00 Flash 1/17/04 034/S34254.html \n",
"64759 2004-01-01 17:30:00 Changing 1/17/04 034/S34277.html \n",
"64760 2004-01-01 15:30:00 Disk 1/17/04 034/S34294.html \n",
"64761 2004-01-01 12:30:00 Light 1/17/04 034/S34289.html \n",
"64762 2004-01-01 12:00:00 Fireball 1/17/04 034/S34482.html \n",
"64763 2004-01-01 11:30:00 Changing 3/2/04 035/S35046.html \n",
"64764 2004-01-01 10:45:00 Triangle 1/17/04 034/S34248.html \n",
"64765 2004-01-01 02:30:00 Triangle 4/27/04 036/S36074.html \n",
"64766 2004-01-01 02:00:00 Formation 1/17/04 034/S34241.html \n",
"\n",
" city_value \\\n",
"0 Albuquerque \n",
"1 Puget Sound (bet Seattle/Bainbridge Island) \n",
"2 Pacoima \n",
"3 Stroud (UK/England) \n",
"4 Exeter \n",
"5 Nampa \n",
"6 Martinez \n",
"7 Fayetteville \n",
"8 ((Unspecified by witness)) \n",
"9 Clinton \n",
"10 Stafford \n",
"11 Rahim Yar Khan (Pakistan) \n",
"12 Fresno \n",
"13 Fresno \n",
"14 Corpus Christi \n",
"... ... \n",
"64752 El Segundo \n",
"64753 Long Beach/Lakewood City Limt \n",
"64754 Wailea \n",
"64755 Kosovo \n",
"64756 Beatty (near) \n",
"64757 Multiple \n",
"64758 Longview \n",
"64759 Atlanta \n",
"64760 Flowery Branch \n",
"64761 Bakersville \n",
"64762 London (UK/England) \n",
"64763 Saint-Louis (Canada) \n",
"64764 Tampa \n",
"64765 Belleville \n",
"64766 Boston \n",
"\n",
" datetime_link state_value \\\n",
"0 http://www.nuforc.org/webreports/122/S122655.html NM \n",
"1 http://www.nuforc.org/webreports/122/S122646.html WA \n",
"2 http://www.nuforc.org/webreports/122/S122656.html CA \n",
"3 http://www.nuforc.org/webreports/122/S122637.html NaN \n",
"4 http://www.nuforc.org/webreports/122/S122644.html PA \n",
"5 http://www.nuforc.org/webreports/122/S122652.html ID \n",
"6 http://www.nuforc.org/webreports/122/S122648.html CA \n",
"7 http://www.nuforc.org/webreports/122/S122639.html AR \n",
"8 http://www.nuforc.org/webreports/122/S122634.html NaN \n",
"9 http://www.nuforc.org/webreports/122/S122643.html MT \n",
"10 http://www.nuforc.org/webreports/122/S122653.html VA \n",
"11 http://www.nuforc.org/webreports/122/S122620.html NaN \n",
"12 http://www.nuforc.org/webreports/122/S122650.html CA \n",
"13 http://www.nuforc.org/webreports/122/S122640.html CA \n",
"14 http://www.nuforc.org/webreports/122/S122636.html TX \n",
"... ... ... \n",
"64752 http://www.nuforc.org/webreports/034/S34385.html CA \n",
"64753 http://www.nuforc.org/webreports/035/S35062.html CA \n",
"64754 http://www.nuforc.org/webreports/034/S34552.html HI \n",
"64755 http://www.nuforc.org/webreports/070/S70685.html NaN \n",
"64756 http://www.nuforc.org/webreports/034/S34408.html OR \n",
"64757 http://www.nuforc.org/webreports/034/S34252.html NH \n",
"64758 http://www.nuforc.org/webreports/034/S34254.html WA \n",
"64759 http://www.nuforc.org/webreports/034/S34277.html GA \n",
"64760 http://www.nuforc.org/webreports/034/S34294.html GA \n",
"64761 http://www.nuforc.org/webreports/034/S34289.html NC \n",
"64762 http://www.nuforc.org/webreports/034/S34482.html NaN \n",
"64763 http://www.nuforc.org/webreports/035/S35046.html NB \n",
"64764 http://www.nuforc.org/webreports/034/S34248.html FL \n",
"64765 http://www.nuforc.org/webreports/036/S36074.html IL \n",
"64766 http://www.nuforc.org/webreports/034/S34241.html MA \n",
"\n",
" duration_value \\\n",
"0 1 minute \n",
"1 5 minutes \n",
"2 3 minute \n",
"3 10 \n",
"4 1 minute \n",
"5 15 minutes \n",
"6 1-2 minutes \n",
"7 5 minutes \n",
"8 40 seconds \n",
"9 30 seconds \n",
"10 60 seconds \n",
"11 30 minutes \n",
"12 20 seconds \n",
"13 20 seconds \n",
"14 30 minutes \n",
"... ... \n",
"64752 few seconds \n",
"64753 3 sec. \n",
"64754 10 min \n",
"64755 5 - 10 seconds \n",
"64756 nan \n",
"64757 1 hour \n",
"64758 30 seconds \n",
"64759 30 minutes \n",
"64760 several minutes \n",
"64761 lights \n",
"64762 30 mins \n",
"64763 2min \n",
"64764 Aircraft activities over \n",
"64765 nan \n",
"64766 4 min \n",
"\n",
" summary_description \\\n",
"0 Disk-shaped object above hot air balloons. ((N... \n",
"1 Cloaked aircraft (military?) over Puget Sound ... \n",
"2 Seen by a cousin of my employee... cannot veri... \n",
"3 Massive spaceship appeared from nowhere in sky... \n",
"4 Large Bright green rectangular light moves nor... \n",
"5 The objects moved across night sky lights on t... \n",
"6 Black triangular UFO over Martinez, CA. \n",
"7 Four blinking lights over Fayetteville. \n",
"8 I saw a bright green cylinder shape craft with... \n",
"9 Large black triangle with dull orange lights. \n",
"10 Large, white, unmoving object above tree line. \n",
"11 Just see moving light on sky. Coming from surf... \n",
"12 20 to 30 black objects hovering in sky. \n",
"13 Mass sighting of 30-40 black objects over Fres... \n",
"14 Taking pictures of the moon when I saw the obj... \n",
"... ... \n",
"64752 Bright shiny triangular object droped from the... \n",
"64753 I also seen the shiny bright triangle! \n",
"64754 A Bright Orange Pulsating Orb \n",
"64755 Massive silent black triangle over Kosovo \n",
"64756 Unusual object. \n",
"64757 Three possible communicating ufos above highwa... \n",
"64758 Entire sky lit up with two seperate flashes ne... \n",
"64759 The black object changed from a rectangle to a... \n",
"64760 HBCCUFO CANADIAN REPORT: Disk shaped object. \n",
"64761 I walked into the woods alone! \n",
"64762 a bright light. It was hitting me it wouldnt s... \n",
"64763 three dots making circles around themselves \n",
"64764 prior to the football game between Iowa&Florid... \n",
"64765 Irritating sounds from a low flying object \n",
"64766 Two amber lights just above the city skyline a... \n",
"\n",
" pageUrl \\\n",
"0 http://www.nuforc.org/webreports/ndxe201510.html \n",
"1 http://www.nuforc.org/webreports/ndxe201510.html \n",
"2 http://www.nuforc.org/webreports/ndxe201510.html \n",
"3 http://www.nuforc.org/webreports/ndxe201510.html \n",
"4 http://www.nuforc.org/webreports/ndxe201510.html \n",
"5 http://www.nuforc.org/webreports/ndxe201510.html \n",
"6 http://www.nuforc.org/webreports/ndxe201510.html \n",
"7 http://www.nuforc.org/webreports/ndxe201510.html \n",
"8 http://www.nuforc.org/webreports/ndxe201510.html \n",
"9 http://www.nuforc.org/webreports/ndxe201510.html \n",
"10 http://www.nuforc.org/webreports/ndxe201510.html \n",
"11 http://www.nuforc.org/webreports/ndxe201510.html \n",
"12 http://www.nuforc.org/webreports/ndxe201510.html \n",
"13 http://www.nuforc.org/webreports/ndxe201510.html \n",
"14 http://www.nuforc.org/webreports/ndxe201510.html \n",
"... ... \n",
"64752 http://www.nuforc.org/webreports/ndxe200401.html \n",
"64753 http://www.nuforc.org/webreports/ndxe200401.html \n",
"64754 http://www.nuforc.org/webreports/ndxe200401.html \n",
"64755 http://www.nuforc.org/webreports/ndxe200401.html \n",
"64756 http://www.nuforc.org/webreports/ndxe200401.html \n",
"64757 http://www.nuforc.org/webreports/ndxe200401.html \n",
"64758 http://www.nuforc.org/webreports/ndxe200401.html \n",
"64759 http://www.nuforc.org/webreports/ndxe200401.html \n",
"64760 http://www.nuforc.org/webreports/ndxe200401.html \n",
"64761 http://www.nuforc.org/webreports/ndxe200401.html \n",
"64762 http://www.nuforc.org/webreports/ndxe200401.html \n",
"64763 http://www.nuforc.org/webreports/ndxe200401.html \n",
"64764 http://www.nuforc.org/webreports/ndxe200401.html \n",
"64765 http://www.nuforc.org/webreports/ndxe200401.html \n",
"64766 http://www.nuforc.org/webreports/ndxe200401.html \n",
"\n",
" summary_description_dates/_source summary_description_dates/_utc \\\n",
"0 NaN NaN \n",
"1 NaN NaN \n",
"2 NaN NaN \n",
"3 NaN NaN \n",
"4 NaN NaN \n",
"5 NaN NaN \n",
"6 NaN NaN \n",
"7 NaN NaN \n",
"8 NaN NaN \n",
"9 NaN NaN \n",
"10 NaN NaN \n",
"11 NaN NaN \n",
"12 NaN NaN \n",
"13 NaN NaN \n",
"14 NaN NaN \n",
"... ... ... \n",
"64752 NaN NaN \n",
"64753 NaN NaN \n",
"64754 NaN NaN \n",
"64755 NaN NaN \n",
"64756 NaN NaN \n",
"64757 NaN NaN \n",
"64758 NaN NaN \n",
"64759 NaN NaN \n",
"64760 NaN NaN \n",
"64761 NaN NaN \n",
"64762 NaN NaN \n",
"64763 NaN NaN \n",
"64764 NaN NaN \n",
"64765 NaN NaN \n",
"64766 NaN NaN \n",
"\n",
" summary_description_dates duration_value_clean \n",
"0 NaN 1 minutes \n",
"1 NaN 5 minutes \n",
"2 NaN 3 minutes \n",
"3 NaN 10 \n",
"4 NaN 1 minutes \n",
"5 NaN 15 minutes \n",
"6 NaN 1-2 minutes \n",
"7 NaN 5 minutes \n",
"8 NaN 40 seconds \n",
"9 NaN 30 seconds \n",
"10 NaN 60 seconds \n",
"11 NaN 30 minutes \n",
"12 NaN 20 seconds \n",
"13 NaN 20 seconds \n",
"14 NaN 30 minutes \n",
"... ... ... \n",
"64752 NaN 5 minutes \n",
"64753 NaN lights \n",
"64754 NaN 30 minutes \n",
"64755 NaN 2min \n",
"64756 NaN Aircraft activities over \n",
"64757 NaN NaN \n",
"64758 NaN 4 minutes \n",
"64759 NaN 1 hour \n",
"64760 NaN 10 minutes \n",
"64761 NaN 2 minutes \n",
"64762 NaN 1-3 minutes \n",
"64763 NaN 20-30min \n",
"64764 NaN 15 minutes \n",
"64765 NaN 1-3 minutes \n",
"64766 NaN 5 seconds \n",
"\n",
"[64767 rows x 14 columns]"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"From that exploration we probably noticed that some renaming is needed. \n",
"\n",
"We shall rename some of the columns and only select the coluns that interest us"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"df.rename(columns={'datetime_link/_text': 'datetime', 'datetime_link/_source': 'source', 'datetime_link': 'link'}, inplace=True)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"df = df[['datetime', 'shape_value', 'city_value', 'state_value', 'summary_description', 'duration_value_clean']]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Some quick testing on your data \n",
"Let's look at some sanity checks using the assertpy package."
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<assertpy.assertpy.AssertionBuilder at 0x10d1b9b38>"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"assert_that(df['shape_value']).contains_duplicates().is_not_empty()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This makes sense since we would expect shape_value to be non-empty and since it is a categorical variable it definitely has duplicates. "
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<assertpy.assertpy.AssertionBuilder at 0x10d1b9ba8>"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"assert_that(df['duration_value_clean']).is_not_empty()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We would expect the duration_value_clean to be non-empty as well. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Summarize ALL THE THINGS\n",
"* Please don't remove marks from me for my american spelling"
]
},
{
"cell_type": "code",
"execution_count": 17,
"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>datetime</th>\n",
" <th>shape_value</th>\n",
" <th>city_value</th>\n",
" <th>state_value</th>\n",
" <th>summary_description</th>\n",
" <th>duration_value_clean</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>64767</td>\n",
" <td>63566</td>\n",
" <td>64631</td>\n",
" <td>60268</td>\n",
" <td>64759</td>\n",
" <td>62907</td>\n",
" </tr>\n",
" <tr>\n",
" <th>unique</th>\n",
" <td>53926</td>\n",
" <td>22</td>\n",
" <td>15977</td>\n",
" <td>65</td>\n",
" <td>64453</td>\n",
" <td>6421</td>\n",
" </tr>\n",
" <tr>\n",
" <th>top</th>\n",
" <td>2014-07-04 22:00:00</td>\n",
" <td>Light</td>\n",
" <td>Phoenix</td>\n",
" <td>CA</td>\n",
" <td>((NUFORC Note: No information provided by witn...</td>\n",
" <td>5 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>freq</th>\n",
" <td>46</td>\n",
" <td>14105</td>\n",
" <td>348</td>\n",
" <td>7156</td>\n",
" <td>21</td>\n",
" <td>4976</td>\n",
" </tr>\n",
" <tr>\n",
" <th>first</th>\n",
" <td>2004-01-01 02:00:00</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>last</th>\n",
" <td>2015-10-09 08:56:00</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" datetime shape_value city_value state_value \\\n",
"count 64767 63566 64631 60268 \n",
"unique 53926 22 15977 65 \n",
"top 2014-07-04 22:00:00 Light Phoenix CA \n",
"freq 46 14105 348 7156 \n",
"first 2004-01-01 02:00:00 NaN NaN NaN \n",
"last 2015-10-09 08:56:00 NaN NaN NaN \n",
"\n",
" summary_description duration_value_clean \n",
"count 64759 62907 \n",
"unique 64453 6421 \n",
"top ((NUFORC Note: No information provided by witn... 5 minutes \n",
"freq 21 4976 \n",
"first NaN NaN \n",
"last NaN NaN "
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.describe()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"So we have in this data set 64k different dates, of which about 54k are unique. \n",
"We have 22 shape_values which seems to be how the 'shapes' are described. \n",
"* This data set is about 11 years of data - which I feel is a representative sample of UFO activity. \n",
"* In statistics a good rule of thumb - is that a sample size of greater than 1000 is representative of a population. \n",
"* **Note** - Peadar cannot remember if this rule is empirically based or just one of those things that one of his Statistics Professors told him as part of a cabalistic ritual to join the ranks of the chosen people **statisticians**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let us write down the value_counts of this column. Because we want to investigate whether it is appropriate to ignore it. \n",
"\n",
"* It is not a good rule of thumb at this stage to 'delete' data. \n",
"* We should and must **transform** it. "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"datetime datetime64[ns]\n",
"shape_value object\n",
"city_value object\n",
"state_value object\n",
"summary_description object\n",
"duration_value_clean object\n",
"dtype: object"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.dtypes"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Warning: Bad performance ahead\n",
"* It is bad practice that we have everything stored as a pythonic object\n",
"* This is bad for a few reasons \n",
"**bad performance** and **some of the values are categorical"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/peadarcoyle/anaconda/lib/python3.4/site-packages/ipykernel/__main__.py:4: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
"/Users/peadarcoyle/anaconda/lib/python3.4/site-packages/ipykernel/__main__.py:5: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
]
}
],
"source": [
"df.head()\n",
"# df.posted_value = df.posted_value.astype('datetime')\n",
"# Check the documentation for what types there are in pandas\n",
"df['shape_value'] = df['shape_value'].astype('category')\n",
"df['state_value'] = df['state_value'].astype('category')"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"datetime datetime64[ns]\n",
"shape_value category\n",
"city_value object\n",
"state_value category\n",
"summary_description object\n",
"duration_value_clean object\n",
"dtype: object"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.dtypes"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": []
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"65"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.state_value.nunique()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* Last time I checked there were 50 states in the US, which means that the \n",
"* state value contains some non-US states"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* Can we plot that easily? "
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"CA 7156\n",
"FL 3737\n",
"WA 3051\n",
"TX 2804\n",
"NY 2579\n",
"PA 2281\n",
"IL 2167\n",
"AZ 2130\n",
"OH 1984\n",
"NC 1731\n",
"MI 1643\n",
"OR 1449\n",
"CO 1243\n",
"ON 1241\n",
"NJ 1235\n",
" ... \n",
"DE 174\n",
"SD 167\n",
"WY 148\n",
"MB 129\n",
"NS 121\n",
"SK 101\n",
"ND 99\n",
"NB 99\n",
"DC 81\n",
"NF 24\n",
"PE 12\n",
"YT 11\n",
"NT 8\n",
"SA 3\n",
"PR 1\n",
"dtype: int64"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.state_value.value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.text.Text at 0x1014b3668>"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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AXIdhs9lsZhdRVzk5OQoNDdWqVasqja2XOKIQAAAAdVPWd+7cubNOSe3E1gMAAABORmIm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\nrkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10d1b9b00>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ax = df.state_value.value_counts().plot(kind='barh')\n",
"ax.set_ylabel('State', fontsize=16)\n",
"ax.set_xlabel('Number of UFO sightings', fontsize=16)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* We see here a distibution is occuring. \n",
"* Specifically we seem to have some sort of 'long tail' in Califonia. \n",
"* I know that California is a very populated state, so normalization seems to be a good thing to do. \n",
"* Need to adjust the setting of matplotlib plot. "
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"(array([ 38., 15., 5., 4., 1., 1., 0., 0., 0., 1.]),\n",
" array([ 1.00000000e+00, 7.16500000e+02, 1.43200000e+03,\n",
" 2.14750000e+03, 2.86300000e+03, 3.57850000e+03,\n",
" 4.29400000e+03, 5.00950000e+03, 5.72500000e+03,\n",
" 6.44050000e+03, 7.15600000e+03]),\n",
" <a list of 10 Patch objects>)"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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gEMgAAFAIZAAAKAQyAAAUAhkAAAqBDAAAhUAGAIBCIAMAQCGQAQCgEMgAAFAIZAAAKAQy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\nQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10de9b630>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.plt.hist(df.state_value.value_counts())"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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3AAAUEd8AAFBEfAMAQBHxDQAARcQ3AAAUEd8AAFBEfAMAQBHxDQAARcQ3AAAUEd8AAFBE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\nhM9jCiAqBgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10e40e828>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df.shape_value.value_counts().plot(kind='hist', bins=5, color='k', log=True,\n",
" title='Log kinds of shape');"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Timeseries data\n",
"* We notice in the dataset that we have time series data, let's do some Pandas Kung Fu about that. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"** How do you rename columns in Pandas 0.17"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"ufo_times = df['datetime'].value_counts().sort_index()"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"DatetimeIndex(['2004-01-01 02:00:00', '2004-01-01 02:30:00',\n",
" '2004-01-01 10:45:00', '2004-01-01 11:30:00',\n",
" '2004-01-01 12:00:00', '2004-01-01 12:30:00',\n",
" '2004-01-01 15:30:00', '2004-01-01 17:30:00',\n",
" '2004-01-01 17:38:00', '2004-01-01 17:41:00',\n",
" ...\n",
" '2015-10-08 21:00:00', '2015-10-08 21:30:00',\n",
" '2015-10-08 22:00:00', '2015-10-08 23:00:00',\n",
" '2015-10-08 23:15:00', '2015-10-08 23:55:00',\n",
" '2015-10-09 00:00:00', '2015-10-09 06:40:00',\n",
" '2015-10-09 07:07:00', '2015-10-09 08:56:00'],\n",
" dtype='datetime64[ns]', length=53926, freq=None)"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ufo_times.index\n"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x10eb86940>"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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dtOXO78y5aQ+LOb/Odn7bYw8u3bTpuEOUKEnTVLyKg37rIvMLAGhUdJz8osPk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\n9go6TwWeCzQXcAu6/tPAqpvrb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YBSEX4v0NfXX6oFLQE9/9pHuT7WqZgzNy1V+fVlZjGb\niy7iiXENDI9qYVtALdm5p0V7fs+a9iBJnW1BufPm+lL5RTVbd9VCSdLCNuuFxvw5vz0nR+R2OXNP\nVmsFlV8AM4Hwe4HqPC79862rlE4beurFd8/7+Wbl10pVpIkVx5m5xidOZ/p9O9uCqve6FfR5ii66\nGAon5HY5FcgL+m6Xc9KoJXp+Uc2uuqxd3Vct1MYvdlX6Ui6YOec3Gk/q40/Duqh98hPPWtAU9Mrl\nzIycofILoFS19T/jHFm7skMrL2nWm+99mns5/1yi2cqvOUHBCs6e9mCOOTMPALU01WvgHKPOQg3e\ngsUAi7OH3pwOa663hn143E7tuGeNuq++qNKXcsHMJ9gf9Q0rMZaqucNuUmbRhRl6qfwCKBXht0Q3\ndy+VJL2w/6MpP8+s/PosNGszeFb47Ts7/IZ8io6O52YYS5JhGBoKJxQKFoZb85dwftUGwMwy/4/5\nOLvZrVbWGp+tNdv6QOUXQKkIvyX6wmc61D7Pp1fe/EThKdYexyxY+TVHnUXPqvyap9/NWZv5h97i\niXGNjacVKtLWYIZf+n2B2eNyOlRfNzH6q6vDen3L02GG39YQlV8ApSH8lsjlcmrTl5YoMZbSS//T\nc87Pi45ab9SZOZliovIblcvp0Px5fkkTK0UH8sadDUUKZ/yaFnc2yuHgZUpgtuX/P1Orld+vX3+p\n7rhxec2GewCzj/Bbhhs/36X6Opde3P+RxlPpop8TH7XekgtvnUtul0PReFKGYeh4f0QdLQG5sodn\nmrMhNv/QmznmrKlI28O8hnr925bP6R83rZyDqwfsy5cdd+avd0+ajFBLLr04pLs2Xl5wtgAApovw\nW4agz6Mb1i7S6eFR/ffbJ4p+TtSCPb8Oh0MBn0eRWFIj0TFF48lJ265aQ4XjziZm/Bbvw/viFQu0\nqMYG7gPVxqz8dnU0Eg4B4BwIv2X62rolkqTn9x0p+vFYfFw+r9tyB72CPo+i8aT6+s0xZxPbrlqL\nVH6Hi2x3AzC3cuG3RlseAGAmEH7L1NkW1NqV83W454ze7xks+HgskbRUv68p6KtTJJ5Ub3/m5Hh+\n5belWM+vWfkt0vYAYG6Y7VWL6YcFgHMi/M6AW9Zlxp49/1rh2LNofNxS/b6mgM+j8VRaR/syW+zy\nw2/A55G3zjWp8nsmMnXbA4DZZ7ZXLaLyCwDnRPidAVcua1VXR4NeP9Sn03nLHwzDUGw0OWnjmVWY\ns37/+vEZSZPbHhwOh1qb6jWY1/M7PMW0BwBzY/01F6n76oW6vGtepS8FAKoW4XcGOBwO3dy9VKm0\noef+9GHu/WPjaaXShmUrv5J0pHdY9XUuNTdOrui2NPk0FEkoOZ6SlGl7YIMbUFlXL2/XjrvXyON2\nnf+TAcCmCL8z5G9WX6yOFr9+f+CoTg5kDonF4tab8WsyF10kx9PqbAsWnBzP9f1mq79D4YQaA2xw\nAwAA1Y3wO0M8bqfu+dsVGk8Zeub370mSYgnrbXczBfKq1fn9viZzu5IZfocjCSY9AACAqkf4nUFf\n+uxCXXpxSPve6tVfPz6TWw9spRm/JrPyK03u9zW15K04HkumFB0dL7rgAgAAoJoQfmeQ0+nIbTH7\n2YvvKJZdcGHFym/QNxFki1V+zbaH00OjeauNmfQAAACqm/VKklXuykvbtGbFfL353qda0NIryZo9\nvwHfxDUXbXvIq/yy4AIAAFgFld9Z8A9fXSmnQ3r5jY8lSX6vtSu/na1F2h7yVhybCy5oewAAANWO\n8DsLuhY06strF+Xezq+iWoXZqtEUrFPQXxhqmwJeuV0OnR6O58LvPCq/AACgyhF+Z8ldGy9XnScz\na9OKc34bsgfeOlsLWx6kTH9zc2O9BobiEz2/bHcDAABVjvA7S1qafLrjxsvkcTuL9sxWu6C/Tlu+\nulJ33rT8nJ/T0uTTYDihwZHMuDPaHgAAQLWz3uvxFvJ3X75Mt3QvzVWArWbzhmVTfrw15NN7xwZ1\n7MSIJKY9AACA6kfld5ZZNfhOhznu7KPeYUlSqIHKLwAAqG6EX5TMXHQRGx1XoN4tj7t2gz4AAKgN\nhF+UrDU00ebAjF8AAGAFhF+UzFx0ITHpAQAAWAPhFyVrbpoIvEx6AAAAVkD4RcmaG+vlcGT+HArS\n9gAAAKof4Rclc7ucua1utD0AAAArIPyiLM3Zvt8QbQ8AAMACCL8oS2u275dpDwAAwAoIvyhL+zy/\npEz/LwAAQLVjvTHKcsv1SzW/2a/LFs2r9KUAAACcF+EXZWmf59fN3UsrfRkAAADTQtsDAAAAbIPw\nCwAAANsg/AIAAMA2CL8AAACwDcIvAAAAbIPwCwAAANsg/AIAAMA2CL8AAACwDcIvAAAAbIPwCwAA\nANsg/AIAAMA2CL8AAACwDcIvAAAAbIPwCwAAANsg/AIAAMA2CL8AAACwDcIvAAAAbIPwCwAAANsg\n/AIAAMA2CL8AAACwDcIvAAAAbIPwCwAAANsg/AIAAMA2CL8AAACwDcIvAAAAbIPwCwAAANsg/AIA\nAMA2CL8AAACwDcIvAAAAbIPwCwAAANsg/AIAAMA2CL8AAACwDcIvAAAAbIPwCwAAANsg/AIAAMA2\nCL8AAACwDcIvAAAAbOO84ffQoUO65557Ct7/yiuvaPPmzbrjjjv029/+dlYuDgAAAJhJ7qk++OST\nT+r5559XIBCY9P5kMqldu3Zp7969qq+v15133qkNGzaopaVlVi8WAAAAKMeUld+uri49+uijMgxj\n0vuPHDmiRYsWqaGhQR6PR6tXr9bBgwdn9UIBAACAck1Z+b3pppt0/PjxgvdHIhE1NDTk3g4EAgqH\nw1P+RalUSpJ08uTJUq4TAAAAOC8za5rZ82xTht9zaWhoUDQazb0djUbV1NQ05df09/dLku66665S\n/koAAABg2vr7+9XV1VXw/pLC75IlS9TT06Ph4WH5fD4dPHhQ991335Rfs2rVKv3iF79QW1ubXC5X\nKX8tAAAAMKVUKqX+/n6tWrWq6MenFX4dDock6cUXX1QsFtPtt9+uhx56SPfdd5/S6bQ2b96s9vb2\nKb9HfX291qxZc4GXDwAAAFyYYhVfk8M4+zQbAAAAUKNYcgEAAADbIPwCAADANgi/AAAAsI2Spj3Y\nTTKZ1Pe//3319fVpbGxM27dv19KlS/XQQw/J6XRq2bJlevjhh+VwOPSb3/xGv/71r+V2u7V9+3at\nX79ehmGou7tbixcvliRdffXVevDBByv7oGyo3Pv4xBNP6LXXXpMkjYyMaGBgQPv376/wo7Kfcu/j\n8PCwdu7cqZGREfl8Pv3oRz9SZ2dnpR+WLV3IvZSkwcFB3XnnnXrhhRdUV1cnSerp6dEDDzygF154\noZIPxbbKvYexWEzf+973FA6H5fF4tGvXLs2fP7/Cj8p+yr2Plss5Bs5r7969xiOPPGIYhmEMDQ0Z\n119/vXH//fcbb7zxhmEYhvHDH/7QePnll41Tp04ZmzZtMsbGxoxwOJz787Fjx4xt27ZV8iHAKO8+\nJhKJSd9r27Ztxuuvvz7njwHl38ddu3YZjz/+uGEYhnHgwAFj+/btFXssdjfde2kYhrFv3z7jlltu\nMVavXp37eXzuueeM2267zbjuuusq8wBQ9j186qmnjN27dxuGYRjPPvus8eMf/7gCjwLl3ker5Rza\nHqZh48aN+va3vy1JSqfTcrvdevfdd7V27VpJUnd3tw4cOKC3335b11xzjTwej4LBoLq6unT48GG9\n8847OnXqlO69915t3bpVR48ereTDsa1y7uP777+f+z4vvfSSmpqadO2111bkcdhduffxyJEjWrdu\nnaRMdYLV7JUz3XspSS6XS0899ZQaGxtzXx8KhbRnz565v3DklHsPt2zZovvvv1+S1Nvbe96FWZgd\n5d5Hq+Ucwu80+P1+BQIBRSIRfec739F3v/tdpdPp3MfN9c7F1j5HIhG1t7dr27Zt+vnPf65t27Zp\nx44dlXgYtlfufTQ98cQTeuCBB+b02jGh3Pu4YsUK/fGPf5QkvfLKK4rH43P+GJBxvnvp9/sVDocl\nSddee61CodCkr1+/fr18Pt+cXjMmK/ceSpLT6dSWLVv0y1/+UjfccMOcXTsmlHsfrZZzCL/TdOLE\nCW3ZskW33nqrNm3aJKdz4p8uEomosbFRwWCwYO1zY2OjVq1apQ0bNkiSVq9erVOnTs359SOjnPso\nSR9++KEaGxt18cUXz/m1Y0I593Hr1q3q7e3V3Xffrd7eXi1YsKASDwFZU93L/J89VK+ZuIdPP/20\n9uzZo29961uzeamYQjn30Wo5h/A7DadPn9Y3v/lN7dixQ7fddpskacWKFXrjjTckSfv27dOaNWt0\n5ZVX6s0339TY2JjC4bCOHDmiZcuWaffu3Xr66aclSYcPH+ZwTYWUex8l6cCBA+ru7q7YY0D59/Hg\nwYO6/fbbtWfPHi1atIjNkxU03XuJ6lXuPXz88cf1u9/9TlKmuuhyuWb/olGg3PtotZzDtIdpeOyx\nxxQOh7V7927t3r1bkvSDH/xAP/nJT5RMJrV06VJt3LhRDodD9957r77xjW8onU7rwQcfVF1dnbZu\n3aodO3bo1Vdfldvt1k9/+tMKPyJ7Kvc+StKxY8d03XXXVfJh2F6593HJkiXauXOnDMNQKBTSI488\nUuFHZF/TvZf5zNPmqA7l3sPNmzdr586d2rt3r9LpNL8fK6Tc+2i1nMN6YwAAANgGbQ8AAACwDcIv\nAAAAbIPwCwAAANsg/AIAAMA2CL8AAACwDcIvAAAAbIPwCwAAANsg/AIAAMA2/h9Iu13ZN7nqUwAA\nAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10eb60d30>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ufo_times.resample(\"M\").plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* We resampled this, on the basis of monthly frequency, to see what we see in the ufo_times\n",
"* ufo_times is jsut the number of observations for a given date. \n",
"* We see that there are definite increses in observations around 2010 \n",
"* And also around 2014. \n",
"* Did Buzzfeed start their 'campaign' in 2014? "
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x10ea007b8>"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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YmePDURwDAIBIvLOYx2hF1DmO5XKvv7qh5n5fe+3+ui5rYcyCk3EmVkHm+HAUxwAAIBLv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CnHJJFDbGNN6hUqhmNKY9xGFfJ56vYzpzXqMsId+7xAxImhR7kR5bhDEk54bBWVOkSBLj8m+aAf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\nYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10e458a20>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ufo_times.resample('M', how='sum').plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* Is there some sort of timeseries analysis we can do to look at the seasonality here. \n",
"* Why don't we look at things in 5D intervals?\n",
"* Pandas makes this very easy :) "
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"2004-01-01 02:00:00 52\n",
"2004-01-06 02:00:00 42\n",
"2004-01-11 02:00:00 53\n",
"2004-01-16 02:00:00 38\n",
"2004-01-21 02:00:00 51\n",
"2004-01-26 02:00:00 49\n",
"2004-01-31 02:00:00 52\n",
"2004-02-05 02:00:00 45\n",
"2004-02-10 02:00:00 77\n",
"2004-02-15 02:00:00 57\n",
"2004-02-20 02:00:00 41\n",
"2004-02-25 02:00:00 42\n",
"2004-03-01 02:00:00 59\n",
"2004-03-06 02:00:00 74\n",
"2004-03-11 02:00:00 73\n",
" ... \n",
"2015-07-27 02:00:00 93\n",
"2015-08-01 02:00:00 112\n",
"2015-08-06 02:00:00 107\n",
"2015-08-11 02:00:00 114\n",
"2015-08-16 02:00:00 75\n",
"2015-08-21 02:00:00 100\n",
"2015-08-26 02:00:00 75\n",
"2015-08-31 02:00:00 58\n",
"2015-09-05 02:00:00 133\n",
"2015-09-10 02:00:00 122\n",
"2015-09-15 02:00:00 124\n",
"2015-09-20 02:00:00 86\n",
"2015-09-25 02:00:00 151\n",
"2015-09-30 02:00:00 85\n",
"2015-10-05 02:00:00 54\n",
"Freq: 5D, Name: datetime, dtype: float64"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ufo_times.resample('5D', how='sum')\n"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x10d41bba8>"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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AQxEQUyCyE1mauTuEYQAAABiLMAwAAFLPY94FNEAYBgAAgLEIwwAAAGOKevfVIwwDAACk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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10ed53e80>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"c = ufo_times.resample('5D', how='sum')\n",
"ax = c.plot(alpha=.5)\n",
"pd.rolling_mean(c, window=8).plot(ax=ax)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* What inference can we infer from this? \n",
"* The rolling mean seems to fit it very well, which indicates that there some general trend.\n",
"* This to me looks psychological because the trend I see is a priori very close to momentum, indicating a psychological trend. \n",
"* There will always be people who 'see things' in the sky. \n",
"* Also there is generally a baseline of military activity in the skies not to mention normal aircraft. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"At this point, we've done some time series analysis, and should probably do some text analytics next.\n",
"Our time series analysis isn't very conclusive, but doing good time series analysis is hard. \n",
"Consideration. We should gather more data to get a better view of the time series. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* Let us look at bi-monthly sample, and let us take the sum, to see if this tells us anything. "
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x10ed44208>"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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9bnpsqjj/eEn/MdBePciapntaEgKUj3ljQK6EAZmIiKjDabrpuAopiQKiEQWpbHsGZF03\nMDGXRk8ibFfDy0ltNOZN1U1PEyyAwvuUJAE5HtKriAGZiIiog+mGCdM0HR/SAwqTLDJZzd7A104m\n5tLQdbNi9RgoWxTSDmPeNN1zQAYKkyy4aroyBmQiIqIO5mZJiCUeVWACSGXbbxZype155UotFsEO\n/6ZpQtNNzy0WQGGSBXuQK2NAJiIi6mBWFdjNQa92nmQxNpUqjHfrjVb883Y5pGdV/uurIIvQNAOm\nGez32goMyERERB1MK7YSyA6WhFgSbTrJIpnOYyGdx9r+2Io3BO1ySM8az1ZPBTmkSDAB5DnqbRkG\nZCIiog7mpYJsHW5rt0kW1va8DYOV2yuAUgU56If0tDrWTFu4LGRlDMhEREQdTNXdryu2K8htNsmi\ntF56+fxji71JL+AHEO0103Ue0gMYkCthQCYiIupg1rQGp4tCACAaliGJQltVkHXdwMRsCt3xkB3w\nK2mXFgvNhxYLpbhNL89Rb8swIBMREXUwL1MsBEFAPKog2UY9yJNzGei6WXF7Xrl2CciqDy0WdgWZ\ny0KWYUAmIiLqYF4CMlDoQ86rettsYpu+mgEArB2IVX2cVUkPfED2o4IsWxXk9vgdNhMDMhERUQfz\n0mIBlPqQ26XNQi22EURCUtXHicUeZCPgc5A1X3uQg/1eW4EBmYiIqINphvcKMoC2abNw+j5FARAQ\n/CkW/lSQeUhvJQzIREREHczrYa92m4Xs9H0KggBREgLfYuHHmLdQ8ZCeyjnIyzAgExERdTCvLRZt\nV0G25z3Xfp+SKAY+IPsx5i1UbLHguunlGJCJiIg6mNcWi0QsBKCdAnIh8DqZ9yyJgn3jEFReD1eW\nswJyuxy0bCYGZCIiog7mtcUiJItQZLF9Wix0AwJKm/KqkcTgt1j4UUGWRAGyJCLHQ3rLMCATERF1\nMK0YBGWXLRaCICARVZDM5GGawQ6TQGFRiCyLEARnATnoUyysqm89ARko9CGrbLFYhgGZiIiog+l2\nb677SJCIhqDrJnL54AcsVTccV8lFKfg9yH60WACFNgv2IC/HgExERNTBrN5c2UHrwVLtdFBP00zH\nBxFFoT1aLGTJWUW8mpAsQtWMwI+1azYGZCIiog6m6UZhtJmHgJyItc+oN90wHB3QA6wWCzPQrSOq\nbtTdXgGUHdTTg91S0mwMyERERB1M1w3IkuCpEtkuFWTTNKFphuM2knZYN61p/gRkLgupjAGZiIio\ng2m6CUn0FgdK66bzfl6S7wzDhAnn/bqSGPyA7KanuprSumkG5HIMyERERB1M0w3Isrc+VquCnMoG\nu4JstQ84b7EoPE4PaNuBYZjQddOfCnJxm16eo94WYUAmIiLqYFodlUhZEhEJyUimgx2QNZfbAq1+\n7KAeXFN9mmABlFWQuSxkEQZkIiKiDqYb3lssgEIVOZXVAhsmgVIlWHZYcQ16D7Lmw5IQi/UcbLFY\njAGZiIioQ+mGCcMwoXhssQAKkyxM00Q6p/l4Zf6yZwY7vBGQgl5B9jEgl3qQ2WJRjgGZiIioQ9lL\nQuqoICciwR/1Zs96dngjEPRDen4tCQFKY95YQV6MAZmIiKhD+RG04rHgT7LQXN4I2If0AhqQ/awg\nW89hPScVMCATERF1KCsAOj28VkmiDSZZWAHZaaAU7QpyMEOjWjxQ57SnuhqrxYLrphdjQCYiIupQ\n1mGveirIpVnIAQ7ILt+nfUhPD2YF2WoZcTq2rhqFLRYVMSATERF1KLs3t44KcjSiQBCEgPcgF1ss\nHL7P4B/S86+CLIkCZElEni0WizAgExERdSirhcDpCuZKJFFALCIHet2024pr0HuQ7ffjQ0AGgJAi\nsoK8BAMyERFRh7IPe9X5UX0iqiCT0wK7ea5UQV5dPciKJPnyfCFFYkBeggGZiIioQ/lxSA8orZwO\nahVZd9lKEvwxb+7G1tUSkkWomhHYlpJWYEAmIiLqUH7N07UnWQQ0ILt9n3ZADughPbuCLPtXQQZK\nK6yJAZmIiKhj+RWQg15BVl2+TzHwh/Ss9+NPBdkK2myzKGFAJiIi6lBWhbTeFotENAQguAHZ6o12\nOvWhdEgvmBXV0lxnfyrIYY56W4YBmYiIqEPZFeQ6Vk0DQDwqA2iDFgvRYQ+yFOweZFUzIIqC3QpS\nr5BS+P3n1WDeELQCAzIREVGH8quCHA3LkEQhsBVkTTchCILdOlFL4A/paYYvS0IsVg9yXmMF2cKA\nTERE1KH86kEWBAHxqBLoCrIsCRCEVbIoRDd8m4EMlAVktljYGJCJiIg6lF8BGShMssireiBDlqYZ\nrt6jGPAKsqoZvmzRs4RktlgsxYBMRETUofxqsQBKkyyCWEXWdNNVQLYWihgBHPNmmmbjWiwCeHPT\nKo5+uocOHcLDDz8MAHj99dexd+9ePPzww3j44Yfxve99DwDw5JNP4v3vfz8+8IEP4NlnnwUAZLNZ\nfPSjH8VDDz2E3/md38Hs7Gxj3gURERG5Zo0/8yNsBXmShdVi4ZQU4E16mm7ChPOJHE4odgWZAdki\n13rAP/zDP+Bb3/oW4vE4AODo0aP40Ic+hA996EP2Y6ampvD5z38eTz31FHK5HB544AG86U1vwpe+\n9CXceOON+MhHPoLvfve7+Nu//Vs8/vjjjXs3RERE5JiuGxAAx4fXqknEgllBNk0Tuu6yxUIIbotF\nacSbfwHZHvOmBe+GoFVq/nQ3bdqEz33uczDNwv9Ijhw5gmeffRa//uu/jscffxypVAqHDx/G7t27\noSgKEokENm3ahBMnTmD//v3Yu3cvAODee+/FCy+80Nh3Q0RERI5phglJEh0fXqsmqMtCdMN9xVUU\nCxMvghiQrSUhfrZYKGyxWKbmT/ed73wnJKk0iPq2227Do48+ii984QsYGRnB5z73OaRSKXR1ddmP\nicfjSCaTSCaTduU5Ho9jYWGhAW+BiIiIvHB7eK2aREADstdZz1JAA7LmcumJE5IoQJZEVpDLuP7p\nvuMd78DOnTvt/z527BgSiQRSqZT9GCswl389lUqhu7vbp8smIiKieumGu97cakKKBEUWkUrnfXk+\nv2jFg3ay7O59ioIAQw9eYLQryD4GZKCwLIQV5BLXP93f+q3fwuHDhwEAzz//PHbt2oVbb70Vr7zy\nCvL5PBYWFnDmzBls374du3fvxr59+wAA+/btwxve8AZ/r56IiIg803TTntjgh0QshGRWtdsyg0Ar\nBkq371OSgllBVovLPPyq/FtCisSAXKbmIT2L1Z/0yU9+Ep/85CchyzKGhobwp3/6p4jH4/jgBz+I\nBx98EIZh4GMf+xhCoRAeeOABPProo3jwwQcRCoXw2c9+tmFvhIiIiNzRXU53qCURUTB3LYtsXkc0\n7DhiNJQ1icJtoBRFwR6DFyRWRdz3CrIsYV7LwTBMXw5ttjtH/+sdHh7Gl7/8ZQDAjh078KUvfWnZ\nY+6//37cf//9i74WiUTw13/91z5cJhEREfnJMEzohrv5wLXEi5Mskmk1MAHZaklweyMgiSLyqtaI\nS6pL4yrIhedTdQNhUarx6NWPi0KIiIg6kFVZ9bXFwloWkg3OQT2rTcJtoCwc0gteD7KmNaiCzEkW\nizAgExERdSD78JqfLRbWJIsAHdTTNG8tFpIowNDNQPVTA4CqFwKsIvtb5Q3JDMjlGJCJiIg6kD0u\nzM8WiwCum1Y9vk9JEmACCNo5PauC7OeNDVBqscirwauatwIDMhERUQdqZEAO0ixkXffWgywW5yYb\nAUvIVg+y7xVktlgswoBMRETUgawJDZKPEwtkSUQkJAeqglxqJXHfYgEgcH3IqsfAX4sdkDUGZIAB\nmYiIqCM1YiMbACRiClJZLTCVV6+VcisgB+V9WDR7UYjfPchssSjHgExERNSBvK5griURVWCaJtK5\nYIxI83ojUKogBysgq5oBAQ2sILPFAgADMhERUUeyWyx8DlrxgE2ysDfpuWwlscbfBW1ZiKYbkGXR\nXuDmF8WuIDMgAwzIREREHcnrdIdaEgGbZKEZ3uYGi0HtQdYM32cgA0DY7kEO1vttFQZkIiKiDuR1\nukMtQZtkYVeQPR/SC1YFWdUM329qAEBhi8UiDMhEREQdyOt0h1oiocKK6VxAgpZVAXb7PsWgHtLT\nG1NBlkQBsiSyglzEgExERNSBGrFqGgDCoWBVIlXNhCgK7nuQA1hB1g0TumE2pIIMFA7qBeX31moM\nyERERB2ocRvZghWQNd3wNOvZDsh6cCqq1kSORlSQgcI2vaD83lqNAZmIiKgDaR5bD2qxPqrP5YMR\ntHSPLQlScfxdkCrIqtaY35klJEtQNSNwbSWtwIBMRETUgazKqN8tFkChipwLyMKJQgXZQ0CWgtdi\nUVoS0rgKMsBtegADMhERUUdqVIsFUOhDDspH9ZpuetoWGMRDemrDA7K06HU6GQMyERFRB2pUiwUA\nhBURmm60vH/XNM1Ci4WHm4BSD3KAArJeuOloZIsFEJz+8VZiQCYiIupAdouFhwNstViVyFaPetMN\nEya8tZFYbRmGGZyA3LQWi4C0x7QSAzIREVEHUnUTkiT4vrIYKJ9k0dqgpdVxqE0K4Ca9hh/SC9gE\nklZiQCYiIupAhdaDxsSAcECCllbHtkD7kF6AWiwaP+bNWjfNgMyATERE1IE03WzIBAugFJBb3WJR\nz7ZAMYCLQkqH9KSGPD9bLEoYkImIiDqQrhuQG9B/DASnB7lUQa6jBzlAAbme9+MED+mVMCATERF1\nIE03PI0/cyIo66brC8jB7UFueIsFAzIDMhERUacxDBO6YXpaoOFEUCqR9QTkILdYNOrGJiRbi0KC\nc1PQKgzIREREHcYKfY1YEgIEp5fV6kGWVskc5EYf0lNYQbYxIBMREXUYu7LaqBYLqwc5H4wKspdA\nKQW5gtygHmRJFCBLIgMyGJCJiIg6TmlJSGN7WYNySM/LMpTSqungtBtougFJFBqy3MUSUiS2WIAB\nmYiIqOOUxp81JmiJogBFFls+T9dqj/BSKReEQhANWgW5Ue0VlpDCCjLAgExERNRx7Mpqgz6qBwpt\nFi1vsaizJUEMYEBuVHuFJSRLUDUjUOPtWoEBmYiIqMPYvbkNDFshRWp5JVKtc26wJIqBO6TX6Apy\nmNv0ADAgExERdRyrKupluoNT4ZAE3TDtMN4Ker0BWQpOBdk0TWhNqCArxQkkaof3ITMgExERdZhG\nb2QDgrF0ot5ea0kUAtNqoOkmTDRuxJslCL+3IGBAJiIi6jD19uY6EYRRb/XeCBQO6QWjkqoWWx4a\nNZrPYi8LafEM61ZjQCYiIuowTWmxCMCot3oDsiiKgaogA43tGwdYQbYwIBMREXWY5rRYWJXI1rZY\niKJgzzR2yxrzZpqtD8lWBVkprvFulBAP6QFgQCYiIuo4ze1Bbt1H9Zpe36E2q8IehCqyvUVPblzV\nHwjOmvBWY0AmIiLqMI1eFAIEp8WinvcYpHXTpdF8Da4gy63/vQUBAzIREVGHafSqaaAw5g1obdDS\n66wgiwEKyM2rIBd+byoDMhEREXWSUotF48JWEA57qfW2WAQoINsV5Eb3IHOKBQAGZCIioo5TarFo\nfA9yq8a8maYJXTfrbLEo/Hz0Fi47sVgV5EbPQVZ4SA8AAzIREVHHsVssGhmQZRECWldB9uMmwGqx\nCMIhvWYcrAQKVXNFFjnmrdUXQERERM3VjEN6giAgpEgtDMj13wQEqcWiWRXkwmtIyHPVNBEREXUS\nTTcgSQIEofEHvnIt6mXVPVRcTdPEt44/jeNTpwGUxrwFKSA3uoIMAGGFFWQGZCIiog6j6wbkBk6w\nsBQCst6SRRuq7r7ienbuIr5w6Ov4/KGnAJT1IAdg3bTm4f14pcgSVM0IRGtJqzAgExERdRjNMBva\nf2wJKyJM07TDXTPpxTYSycUWvRcv7QcAnJ29gKyWK7VY6K0Pin5VkI9MHMdjP/wULs5fXvExYR7U\nY0AmIiLqNJpmQGlg/7GlNAu5+QHZPtTmsOJqmiZeHD0AANBNAyenz5YO6QVg1bSmGRBQf9/406ef\nw5nZC/jMv/0/SOZTFR+jFLfpqR3ch8yATERE1GE0w2hKBbmVs5DtiqvDVpIL86OYSE6hL9IDADg6\nedKuIAc+WVnRAAAgAElEQVSh1UDVDciyWFffuGboODTxOgRBwERyCv/thf8Bo0L7SBBmWLcaAzIR\nEVEH8WM+sFOtnIVsHaxzunnuxdFCe8UHbnkPBEHA61On7JuIoLRY1Nt/fHL6LDJqFm+/4S24Y/3N\nOHjldXz5yLeWPc5aFtLJ66YZkImIiDqINeKtOT3IratEai56dk3TxAuX9iMkKXjTdXfihr7rcHr2\nPHRTBRCQQ3qaAaXO39mB8SMAgDs33IKP3vMhrE0M4hvHfmD3XltK66Zb/75bhQGZiIiog3gZf+aV\nFZBbUYnUDOfv89LVMYwvTOKO9bsQkcPYObgNuqHj0sJFAAEZ81ZssajHwfGjUEQZNw/diEQojo+/\n+XcRlsN44uV/XnRoL9TC31tQMCATERF1EM1o/JIQSyuDlpsKsnU4756ROwAAO4e2AwDOXD0LoPUB\nWTdMGIZZV4vFTHoOF65exs6h7QjLIQDAdb0b8Xt3fRA5Lbfo0F6Ih/QYkImIiDqJFRybc0iv8Bot\nabGwN+nVvhF46dJ+KKKM3etvAQDsWLMFgiDg9FwhIBst7kFWi+PW6qn6Hxw/CgC4Y/3Ni75+z8hu\nvO+md2EiOYW/efGfYBhGSyv/QcGATERE1EF0F60H9QqHZACtCsiFUFurb/fytSu4dG0ct63biagS\nAQDEQzFs7h3GhasXoJtayyvI9nupo4J8wA7Iu5b92a/teg9uX7cTB8aP4itHvg1FtnqQGZCJiIio\nA1hhqxktFmHFmobQujnItSrlL9ntFbsXff3mwe3QTB2z2njLD+lZFWQruLql6RpemziOdYlBrO8a\nWvbnoiji9/c8grWJQXz92PdxaPIwACDPQ3pERETUCaxDelITVk3LUmFub0vGvDm8EXjx0n5IooQ7\nN9yy6Os7h7YBAKa1yy2vIJe26Hm7qTk+fQYZLYvbl7RXlCs/tPf3r34BC/oMsnnN0+utBgzIRERE\nHUQtBuR6Z+o6IQgCworYmkUhDt7nlYVJnJ8fxa1rb0I8FFv0ZzsGt0KAgBm99QFZs9+LtwrywSuF\n9ordFdoryl3XuxH//q6HkdNzeCn9Hcxnkp5ebzVgQCYiIuogVmXV2hLXaGFFaklAdlIpt6dXDN+x\n7M8SoThGejZiVhtHXlUbc5EO1VtBPjB2BIqkYOfgtpqP3TNyJ95307uQ1Ofx8vyPYQZgzXYrMCAT\nERF1EK2Jc5CBwqi3vKo3PWhpugFJFCBWuRF46dIBSIKIN268reKf7xzcBgM6xjOjjbpMR7K5QqtD\nJCy7/t7p1CwuXRvHrqEbESqOd6vl13a9B91KL0Zzp5DOZ12/5mrAgExERNRB3Iw/80NIkWACyDd5\npq6mGVUP6E2mZnBm7gJ2rb0RiXC84mOsPuTR9IWGXKNTqWwhIMfCiuvvPbDCeLdqRFHEjp6boUPF\nyxdfc/2aqwEDMhERUQcpHV5rTgQIh1qzblozzKrv8aVLhfaKu4d3r/iYm4sBeSxz0d+LcylTDMjx\nqPsK8oEr7gMyANw6eCsA4KXLB1y/5mrAgExERNRBWtFiAbQgIGsGlCpV8pdGD0AQBNy1QnsFAHSF\nE+iR1mAidxmq3ro+5FRWhSAIiITcBWRVV/HaxHGs7xrC2sSgq+/d1DOMuNiD16aOIqflXX3vasCA\nTERE1EGa3WLRqq1smrFyi8VMeg4nZ85i5+A2dEe6qj7PUGgYuqnhzGzr2izSWRXRsFy1n7qS49Nn\nkNNyFZeD1BKLKNiobIdqqDgwfsT197c7BmQiIqIO4nTDnF+sddPNnIVsGCZ0feUWC3s5SJX2Csva\n8AgA4PWpU/5doAuGYSKT1RCPeGivGCsEW7ftFQAQDcvYGCq0mDx/6VXX39/uGJCJiIg6iLUVrtaG\nOb+EW9BiUVqnXbni+tLoAQgQcNfw7TWfa10xIB+dPOnfBbqQyWkwUajounXgylGEpRBucjDebalI\nWEa3uAZ9oX7sH3sNWS3n+jnaGQMyERFRB2nmqmmgvAe5eVMs7PdYYUnIXOYqjk+dwY7BLeiL9tR8\nrriSQLc0gJPTZ6EZzZ/nnMoWep9jLivIk6kZXL52BTevvREhyX24joYkCIKA6+M7kNdV7B/rrDYL\nBmQiIqIOomnNWzUNtKYHudpBxJdHD8KEibsrLAepRBQFDMrDyOl5nG1BH3JpgoW7kHuw2De820N7\nBVD4hCGkSBhWtgMAXuiwNgsGZCIiog6iG7UXaPgpFLCA/OLofgBwHJAlUUC/vBFAa9osrApy1OWS\nkP3F+ce3ezigZ4mGZYSNPmzsWof940eQVTtnaQgDMhERUQfRdLNp/cdAa+Yga1rlNpKr2Wt4feoU\ntg1cj4FYn6PnkkQBA9IGAK05qJf2UEHO6yqOTpzAxu51GIoPeH7taFiCqhm4e/gOqLqKV8c7Z2kI\nAzIREVEH0XSjaf3HQCFgSqLQ3ICsVz6I+LPLh2CapqPpFRZJFBAR49jQtRbHp880vQ857aEH+djU\nKeT0PO5Y5629wmLNXb5jbeEw4wsX99f1fO2EAZmIiKiD6LrRtCUhACAIAkKK1NQxb1ZAXjrKzhrv\ndveIs/YKoNSrvWPNNuS0HM7NNXerXiqrQRIFu5fbCXu99Abv7RVAqa2jPzSI4e71ODB+BJkOabNg\nQCYiIuogjW6xyOsqvnnsaZyaOWd/LaRILelBLl+GspBL4rWJE9jSt8lV24FYfI7t/VsAAK9PNrfN\nIp1REYsoEATnVf+D40cRlsPYsWZLXa9tBeRsXsOekd1QDQ2vjh2u6zmb4YXXxvDq8Ym6nsP91Gki\nIiJqS6ZpFirIDTyg94+vfhk/Ofc8AGDvprvx4G3vQ1iRcDWZg2GYTTkcqNuj7Eo3Aq9cPgzDNFxV\nj4FCiwUAbLMC8tRJvPemd/p0pdVpuoGcqqOvO+z4eyaSUxhbmMAbNt4GxcN4t3JWQM7kNOwZuRNf\nPfqveP7Sfrxl0111Pa8X85mr+Mbxp/Hc+ZfQG+3B5t5hbO4dwabejdjcN4LucAIAkEzncW7sGhJR\nBXfuWOv59RiQiYiIOoRumDBReT6wH54581P85Nzz2NSzEaIgYt+Fl/DS5YPY3fsmrDF3Iq/pdl9r\nI1WaYmFNr7jH4fQKixWQu5RurO8awvGpM9ANHZLovOXBK+uAXjTsPOja7RV19h8DhWUhQCEgb+9Z\nj5GeDTg4fhRpNYOYEq37+Z24lkviW8efxvdPPYu8rqI7nMBkchqXro7huQsv24/rj/ZiU+8wuoQB\nZPJxXBfaXNfrMiATERF1CDs4NmAG8pnZC/jH/V9BIhTHx+/9MNZE+/Djc8/jS699Ey9M/wQxcT+u\nu/jvsHfLna7aBbxQlwTkZC6Fw1eO4freEazrGnL1XFYPsm4Y2Dm4Hc+c/SnOzV3C1oHNvl5zJdYB\nvXjUeVyzA7LH+cfl7BaLXCGo7xm5E08e+TZeuXwYezffXffzV5PMpfDtEz/C9079BFkth/5oL35l\n5334hevfDFEQcSU1hQvzozg/N4rz86O4MD+KA+OlZSZn8mvxAdzi+fUZkImIiDqE1Xog+TzF4lou\nic/+299DN3T8/j2P2D2+b9/yFuwZ2Y3/+6dfxStTL+OJV/8Rz40+j9+8434M96z39RrK6UsC8s8u\nH4JuGthz3Z2un8uqIBsGcPPQNjxz9qd4fepUkwJyIZg6XTOd1/I4OnkCI93rsSbeX/frR8OFKnnG\nDsi78eSRb+OFS682LCCn8xl85+Qz+NeTzyCjZtET6cav3fIevH3LvYs2Am7oWosNXWuxZ6T0O528\nNocv7fsZDmZ+jHltGoZpQBS83QwyIBMREXUIu4LsY4uFYRj4mxf/B6bTs/jVXb+M29fvXPTn8VAM\nv3T9u9Gd3YbLyks4PHEMf/SDP8O7tv4c7t/1S0iE4r5di2XpOm27vWLE+Xg3i3VIz6ogA4V5yO/Z\n8Q4/LrUqt2umX586hbyu1j29wiJLIiRJQKY4gWRj9zps6tmIQ1eOIZVPIx6K+fI6AJBVs/juqZ/g\n2yd+hFQ+ja5wAg/f9n68c+tehOWQo+e4dk3AoHIdevKDSBlXMZ+9hv5or6fr4RQLIiKiDtGIFosn\nj34Hh64cw+71u/ArO++r+JiQIqFL6sdv3PQh/Me3fBiD8QF879RP8NgPP42clvftWizlNwKL2isS\ng66fq1RBNtEf68XaxCCOTZ2CYRi+XnMl9ppphxVkq73idh/6j4HCiL5oWLavAwD2XHcnNEPDK5f9\nm2Zxcf4yPv70X+DLr30LAPDALe/FE7/0n/HLO97uOBwDwOjEAgCgJ1QIxZPJGc/XxIBMRETUIfxu\nsXh17DU89fr3sDa+Bh+55zdX/DjbmuGragbesPFW/F/3/Sf8wg1vxkRyCv968hlfrqVc+SG9etor\ngFJA1o3Cz+7mwW3IqFmcnx/152KrKFWQnQXkg1eOIipH6h7vVi4akpHLazCK79+qwr9w6VVfnv+F\nS6/i8Wc+g4nkFH75xrfjiXf/Gf73nfchokRcPY+q6bgym0ZvVxgD0UKLz0RyyvN1MSATERF1iErT\nHby6kpzC37z4T1AkBf/hzb9TtVXCCsjWLGRFUvDB296PrnAC3zj2A8xnr9V9PeXKWyzqaa8Ayg/p\nFZ5z55DVZnGy3susKZ1RocgiFActMal8GuMLk9g2cD1kyb8O2mhEhonCLGSg0Pu7uXcYhyaOIZlP\neX5ewzDwL4e/gb96/r8DAD72pt/Gw7e/3/N0jLGpFAzDxMhQF3qUQgV5ghVkIiIiqqUUkOurIOe0\nPD77b3+PtJrBb9/5ADb3jVR9fKgYkMvXTcdCUfzqze9GVsvhq0e+U9f1LKVphfeZ0TJ1tVcAsOc2\nWwf/dg5uA9D4hSGmaSKV1RCPOqseWxXtWr8Lt6yxfNmyTYh7Ru6Ebuie2yySuRT+8rkn8I1jP8D6\nxBD+4u3/0fMNjGV0MgkAGB5KoCfUBwCYTE17fj4GZCIiog5hVUHr2aRnmib+4ZV/wYX5Ubxjy714\n6/V7an5PSCm83tJtem/b8hZs6FqLH539KUavjnu+pqU03YAkCnh17HBd7RXA8haLNfF+DMUHcGz6\nNAyzcX3IqmZA0w3H7RXn5i4BAK7vG/b1OpaOegMK0ywAb20WF+ZH8dgPP4VDV17HHet34S/e8ShG\nejbUdY26bmBsOolEVEFvV9juQZ5KsYJMRERENaha/S0WPzyzD/suvISt/Zvxm3fc7+h7whUqyAAg\nixJ+/bZfgWma+MKhpzxf01K6bkCWxLrbK4BSBdnqwQWAnYPbkcqncXF+rL4LrcLtBIvzVkDu9beC\nbAXkdFlAXtc1hOv7RnD4yjEkc87bLJ6/+Cr+zx99BhOpabx/5y/i0Xs/7MskjInZNFTNwPBQFwRB\nQFhWEBHimGRAJiIiolr0JePP3Do9cx7/dOCr6Aon8LE3/bbjVcaSJEKWROTU5RXXOzfcgpuHtmP/\n+BG8NnHc03UtpeomdDFXd3sFUDrQqJcF5B2DWwEAJ6bP1HehVbidYHF+fhRhOYx1CXeLUGqJFGch\nl1eQgWKbhWng5cuHaj6HYRj4wqGv47++8N8hCAL+6M2/iw/c8sueZxQvdak4vWJ4bWHdtCgKiInd\nmM3MQTP0at+6Is5BJiIi6hCaUV8F+anXvwfd0PEH9zziehFFSJGWVZCBwiixh297P/74h3+Jfz74\nNXz6HY9BrHMMna4bGFPP1N1eASzepGfZMViYEnF8+jTete3n6nr+lbipIOd1FaPXxrG1f3PdP7ul\nomXrpsvtGdmNfzn8DTx/8RXcsf5mpPJpJPNppNR08b9TSOUL/31m9gJOzJzF+q4hfPzN/4evS2IM\nw8TlqSQiIQlregoH/ERRQFzswaw+jun0rKcbJAZkIiKiDmEdNJM8hCjTNHFy5izWxPpx67qbXH9/\nWBGxkFYr/tkN/ddh76a7se/CS9h34SVHfc3VaLqBi9nClIl6D3/ZPch6qYK8PjGE7nACxxtYQU5n\nnG/Ru3R1DIZpYLPP/cdAYcwbAGRzi29u1iYGsaVvEw5PHMPvfuuPaz7PnRtuwUfv/hBiIW9TKlYy\nPZ9BNq9j63Cv3Q4jCoUKMgBMJqcZkImIqPlyqo7nDlzGbdsGMdjn7z9+5C97/JnsvsViMjWNa7nk\notW+boRDEuYWctAN0w6d5X7t1vfghdH9+NJr38SekTtdLYgoZxgmMloGl7Pn626vAJYf0gMKVe8d\na7bi5csHMZ2a9WWt81LpXOFmIu6ggnyuQf3HQOH3JgjCoh5kywdueQ++d+rHiMgRxEMxJEIxxJVY\n6b+L/393OIGBWB8Ewd8V58Di6RWWQotFDwB47kNmQCYiorrMzGcwOZfGpYkFBuSAq2cO8qmZ8wCA\nbQObPb12+ag362P7cmti/Xj39rfh68e+j++c+BHef/Mvenod3TAwrp6BifrbK4DKh/SAQpvFy5cP\n4vj0abwlflfdr7NUKqNBACr+rJY6P29NsPA/IBe26Un2HORyt6/fuWy1eDOZpolLkwtQZBFr+0uH\n/SRBQFwqVpA9jnrjIT0iIqqLWgxdVs8kBZe9Sa9CBbeWUzPnAADbBq739NqVZiEv9b6b3oWecBe+\ncfxpzGeuenodVTMwphZmFNfbXgGURuLpS1ZL71hTOKh3fKoxbRbprIpwSHY0ku/83ChEQcRwnePS\nVhINy8jmNJimWfvBTTS/kEMqo2LDmsSin5N1SA/wXkFmQCYiorpYSxnS2eUVJgoWtY4K8umZc5BE\nyfPH+GG5uE0vv3JAjioR3L/r3chpOTzpcXnI1WwSk9olDEXW191eAZRuJpbkY2zuG0FIUhrSh2ya\nJtI5DfFo7eqxYRi4MD+K4e71CDmcKuJWJCRDN0zktcbNffbi0uTi6RUWURQQFRKQBAlTSVaQiYio\nBayP7dOsIAee7jEgq7qKc/Oj2NwzjJDH3uBwaPG66ZW87YY3Y2P3Ojxz7t9wcf6y69d5dewwTBjY\n0evPR/+lHuTF4VAWJWwbuB6Xro7VtXK5kmxeh2GYjg7ojScnkdPzDTmgZ6m0LCQIRieTkEQBG9Ys\nXnMuiQIEQURvpJcVZCIiag3r4Fc2py06yETBo+kmRFGw+2qdOjd3CZqheW6vAJy1WACAJEp4uLg8\n5IuHv+76dV4ZPwgAuLl/l/uLrHg9yw/pWXas2QoTJk5On/XltSxpFyPe7P7jBhzQs6w06q2VFtJ5\nzC/ksHYgDqX46YTF+t93f7gPV3MLyGo518/PgExERHWxWixMBOsfUFrOWsHs1unZ8wCArR4P6AEr\nr5uu5I71u3DL2htxYPwoDl855vg1krkUjs+cRI80hMHYGs/XWk6sMObNUpqH7G+bRdrFkpBzc6MA\nCi0fjWItCwnS3+/RieXTKyxicVpGX6QwXcTLymkGZCIiqovV1wqwzSLodN2AIrv/p/9k8YDe9iZU\nkIHS8hABAj5/8GswljYAr+Bnlw/BMA1sVLbWtU576bVIolCxgrxt4HoIgoDjU6d9eS2LmyUh1orp\nzb2Nb7EIUkC+NLkAAcDwYIWAXLyp6Qv3AfB2UI8BmYiI6qItCsjB+QeUltN009OSkNMz59AVimNt\nHYfewnZAdhZ2N/eN4Oc234MLVy/jv730T0jl0zW/58XR/QCAjco23wIyUAhclUJ6TIlic88wTs9e\nQF737+bQ6ZIQ0zRxbv4ShuIDiIdiVR9bj1IPsre1zX7L5DTMzGcw2BdFpMIYPCsg9xYD8kRyyvVr\nMCATEVFdNFaQ24ZuGJAldy0W89lrmEzNYGuxWuqVFZCdtFhYHrrtfdjavxnPX3wFf/T9P8ORieMr\nPjaZS+HwlWPYEN+AuNQL2UOlfCUrVZAB4MbBLdAMDWdnL/r2etaSkFoV5LnMVSzkkg1trwDKKsgV\nZiG3wujkAkwAw2u7Kv651UXUG+oFwAoyERG1gKaxggwA11J5/PiVi5iYrV3pbAXTNKFphuvK6uk6\n5x9brBaLamPeluqJdOM/v+2P8Ku73o257FX86bN/jX8+8P9WrNb+7PIh6KaBncXDeV56rVciiuKK\nAdmehzztX5tFKqMVRpXVWBJybt5qr2hsQA4X101nAvL3u7Q9b4WAXPzd9yiFHmQGZCIiajpWkAvv\n+yevXsKVmTROj863+nIqMgwTJuBo8US5ejfoWURRgCKLyGvuPqaXRAn/7uZfwp+97eNYnxjCd04+\ng8ee/kucLx5Os1jtFTf23AwAnnqtV74GoeIhPQDYscb/g3rprIpoWK5ZsbdXTDe4giyJAsJK5W16\nzZZXdUzMptHXHUEiWrkFxQrIESmKsBz2NAuZAZmIiOqi6iYkqXCQKRWQClMz5VUdz+4fRSqjQgAw\nOZsO3MYxANCKFVC3LRbWBr2t/ZvrvoawIjk6pFfJ1oHN+PS7/gTv3LoXl66N47EffQrfPPY0DMOw\n2yuu7xtBt1z4WN1Lr/VKJElYNgfZ0h/rxVB8ACemz8Aw61+koRsmsjkNcRcH9Bo54s0SjciBOKQ3\nNp2CYZgVp1dYrN+9aQJD8QFMpmZc/51kQCYiorpomgFFkhCLKMh0WAVZ0w3sOzCK+YUctl/Xh5F1\nXcjkNCykg/dzsFph3FSQDcPAmdkL2Ni9zpdDYCFFctWDvFREDuO37nwAj+39PXSF4vji4a/jk8/+\nFb536ifQTQN7Ru60WyFk2b8WC0kUYFSZ8b1jzVak8mlcvnal7tfK5DSYqH1ADyjMQO4OJ9AX7an7\ndWuJhGSomrHoE6NWuDRR2J43skJ7BVAa82YYJobiA8hoWdfLXBiQiYioLppuQJYFxCIysnnd3ta2\n2hmGiecPj2FyLoPr1nVh941DGOorhMjJAPYhW8FGcRGQR6+NI6Nlsa2/vv5jS0iRoOtm3SHrjvW7\n8F/u+0+4a/h2HJs6ja8e/VcAwD0ju6Fq7t9nLdYhvZWqkPY85Kn62yzSGWcH9FL5NCZTM7i+b6Su\nw5NOBWHUm6YbGJ9OIRFT0JNYeaOj9eGBbpoYihfmYbvtQ2ZAJiKiumi6AUUS7YpXOgAfwzaaaZp4\n5dgERieTWNsfw55d6yGKAtb2FwLyxFzwArJVWZVctFic8umAnsVaN+21zaJcdziB//Cm38G/v+uD\niMoR3Dy0HesSg3YrhNte62rEYuJaqYrs50E96+9PrQry+flCD/amJrRXAEA0AMtCJufS0HQDI0Nd\nVW8KrB5kq4IMAJMpd33ItRtciIiIVlA+GcGqeKUyKrpiK1d3VoPDp6dxenQefd0R7L1jox3GuuMh\nREKS3YfcjMqeU1aLheyiN/dUcYNevQf0LOWj3py0ENQiCALeev0e7Bm50/6a/T59riADhZsMSVr+\n5xu61yIRivtyUC9VrCDHVziAZikd0GvcgpByQaggJ4utS33dkaqPW9Ri0V2sICdZQSYioibRi5MR\nZFm01+IG4SBPI524MIujZ2eQiCl46+5hKHIpMQmCgKH+WCD7kLViZdXNfOBTM+cQlkIY6dngyzXY\n66ZdjHpzIiyHEJYLN2VW+4bbw4jVWFX3lSrIoiDixjU3YCo1g5n0XF2vZU2CidUY8XZ+vnkH9ADY\nCzmyLfz7bU3RiIQq3KWUKb+hWWu3WLirIDMgExGRZ+XVuvIK8mp1Yfwa9h+fRCQk4xfuHKk4pzao\nfcjWmDKnLRYZNYvRq+PY0r8Jklg9kDjlZt20V1pxqoqf1fvywLUSq83iRJ1VZGuWeKxGBfn83CjC\nchjrEkN1vZ5T0VDrt+lZc5hrzYe2WyzM8hYLVpCJiKhJStW61d+DfGUmhReOjEOWRfz8ncNIrNBG\nEtQ+ZPt35bDF4szseZgwsdWn/mPA/bppL6yeeD9ZY8OqBmSfDuqlsypkSUSoSqU/r6sYvTaOTT0b\n7f7oRosWb4Bb+fc7U/zkoWZALmuxiCgRdIUTmHQ5C5kBmYiIPFOtyQhyqYKcXoUV5NlrWew7cBkA\ncO/tG6v2QC7tQw4KOyA7bLGwFoRsb0BArmfUWy2FCrK/8Ua0K8grB/sb+q6DIsp1H9RLZTXEItWX\nhFy6OgbDNLC5Sf3HQGHMG4CWLgvJ5jRIxYUz1SxtiRmKD2AqPetqTjUDMhEReaZppeUTIUWCIour\nsoJ87NwsNN3AnlvWY91AvOpjg9qHbLdYOFzBbC8I8emAHlC2brqhAdn9Ou1ayqcirESRFGwd2IwL\nVy8jnc94eh1NN5B3cICxmQtCLIosQpHFlp4xyOQ0RxsG7QqyaQXkNdAMDXOZq45fiwGZiIg8K2+x\nAAoHi1ZjD3JOLYSC4SrLCcrZfcgBarNY+ruqxjRNnJo5h4FYH/qjvb5dQ3N6kA1fD+gBZT3IK6yb\ntty4ZgtM08TJ4s2FWymHM5DPzTdnxfRSkZDcskN6hmEim9ftw4LViEt+X15GvTEgExGRZ0s/to9F\nFaiaYS9rWC1UzYAkCo6rr1YfcpAO6lm/KyeH9KbSs7iaW/Bt/rHFzznIlRiGCcMwfa8gOzmkB9Q/\nD9k6oBevWUEehSiIGPZpuohT0XBxGVCNn0Mj5FQdpmnahwWrEYTCIc3yCjLgbtQbAzIREXlWqYIM\nlEZVrRaq5u5je7sPeS44fchasZrm5ADbqZmzAODbBj1LSBYhoHEB2U2V3I3SIb3qN343rrkBAgTP\nkyzsEW9VKsiGYeDC/CiGu9cjJNU/S9oN63BcrgV9yFblOlqjum4RxbIe5AQryERE1ERL1/pao6ms\nSthqoWpGzYNB5QRBwGBfDOmshmRAWk503fmGOeuAnt8VZEEQoCiS73OQLQ0LyJKzCnI8FMN1PRtw\nauYcNN393wF7xFuVCvKV5CRyer6pB/QskRZu08s4nIFsEStVkF2MemNAJiIiz5a1WKzSCrKmuwvI\nQNm4t4C0WVgVZCf9uadmzkESRNzQgB7XsCIh16Axb27eoxtODulZbhzcgryu2n3CbjipIJ9r8oKQ\ncii3UqwAACAASURBVK3cpud0BrJFEgX797Um1gcBAgMyERE1x9KKXXwVVpBN03RdQQaCtzDEaXVV\n1VWcm7uETb3DCMn+rwwPKRLymt6Q1hPNRZXcDaeH9ICyPmQP85BTVg9ylSUh5+ZGAQCbm3xADyiF\n01YsC8k6nIFsEUXRDsiKpKA/1ssWCyIiao7yMW9A6R+v1VRBLlXJ3W2T60mEEFaC04ds9c/WCo8X\n5i9DMzRfx7uVCyuF4GL9XP1kPaf/i0Jqz0G22AtDPBzUS2dVhBSp6k2MNeJtc2/zWyxaWkEuvqaT\nKRZAsQe57O/dUHwNZtPzjltfGJCJiMizlSrIqVVUQV7aZ+2UNQ85KH3IqmZCEGpP4jhZPKC3feCG\nhlxHaRZy4wKy02UoTlk3FU6mN6yJ9WNNrB/Hp8+4ujEyTRPprIZ4lfYK0zRxfv4ShuIDiIdijp/b\nL9aykEwLDulZAdlxi4UgLGqJGYoPwISJ6fSso+9nQCYiIs/KN+kBhaAcUiRkVlEF2Q7IHkJXkPqQ\ndcPZfODTDTqgZ2nkqDd7GUqj5iA7HG+2Y80WLOSSGF+YcPwaec2AphtVD+jNZa7iWi7ZkvYKoDRB\nItOCG+BsToOA0jbGWkRRWPT7smYhTzhss2BAJiIizzRteV9rLCIjldUC0Vbgh3qqkkHqQ3a6Ye7U\nzDkkQnGsSww25DoauSykUVMs3BzSA8rbLJz3IacdLAmxDuhtbsEBPaAwpk8UhZasm87kNETCsv27\nqEUUl1aQ3c1CZkAmIiLPKh2KikUUaPrqWRZSTwU5SH3Ium7WrKxeyy5gIjWNbQOba67z9cqqADZi\n1Fvj5iC7rSC7P6hnrWivVkE+N9eaDXoWQRAQCcnINPmQnmmayOQ1x/3HQHHMW3lAdjkLmQGZiIg8\n0/TlG+asClhqlbRZeO1BBhb3Ibd6BbeTCvKp2fMAgK39mxt2HaUe5AYEZK0xY96sRSFOK8jDPesR\nU6KuDupZ//uoNsHifAtHvFkK2/Sa+wmRphvQdRNRhzOQgUIF2UTZshCXs5AZkImIyDOtwoY5a01u\nK/oUG8EKyF4PfgWhD9k0TWh67RXM9ga9Bh3QA0oV5HZqsbAXhTicvCEKIm5cswVXklOYz1x19D32\nDOQqVdLzc5fQHU6gL9rj6DkbIRqWYBhmQ25wVpJ2OQMZKGuLKQb5vmgPZFFmBZmIiBpP1c1lwXH1\nVZALQcBLiwUADPZFAQCTc60LyIZZCMm1KqvWBr2tA5sadi0hpfBzzDdyioXfPciCuxYLoHBQD3De\nh2xv0VuhgpzKpzGZmsHm3pGGtb840YpRb9YMZDctFtKSvnFREDEY62cFmYiIGq/Sx/ZWD+VqWRZi\nbWfzGpB7E2GEFQkTsxnXY7/8YveKiyu/B8M0cHr2PDZ0rUUiFPfttZeye5BV///3EZQeZAC4abDQ\nh/zTiz9z9Ph0VoWAlauk5+dbtyCkXKQFy0LcjngDKh+sHEqswUIuiayarf39Lq+RiIjIVjkgr65l\nIXYFWXK3KMQiCAKG+mJIZ1XHfchnL1/FV5855VvVWXcwiWPs2gQyarZh490s1pi3xsxBblAPsuQ+\nIG9fcwO2DVyPl0cP4sjEiZqPT2ULh9BWmlNdOqDX/AUh5VpSQfYSkIXFLRZAadSbkyoyAzIREXmi\nGyYMw4QiL/4HPWZv01sdFeRSD7L30DXUX2izcNKHfGUmhZeOXoGmG76Nh7ODY5URWSdnzgEAtjVo\ng55FlkQIgtBWPciifUjPeagXBREfuuNXAQD/88BXoRsrv1/DMJHJaVUnWAThgB7QmoBsb9ELua8g\n65VGvTnoQ2ZAJiIiT1YKI5IkIhKSVlEPsjXmzVsFGQCGigf1alWEryZzeO7gZaBY9VpI5z2/ZrlK\n4/iWOmUH5MYd0AMKFfWwIjY0INdap+2WKAACSotInNo6sBlvvX4PLl69jB+d+emKj8vmNRiGiXi0\n2gG9UYSlENYlhlxdg98ixU8AWhGQo1VmRC9VucWCFWQiImqwSktCLLGIgswqWRai6d7nIFuc9CFn\n8xr+v/2jUDUDd928DqIo4FrKn5sM+z1UCY6nZ84hJCm4rmeDL69ZTUiRGjIHWdcNCPC/xUIQBIiS\n4KrFwvLgLe9FVI7gK0e+jWQuVfEx9gG9cOUKcl5XMXptHJt6h+1qdqtYFeRmLguxXsvVmDehQkC2\nl4WwgkxERA1SbcNcLCJDN8yGhKBmq2cOsqVWH7KuG3juwGUkMyp2bRnAluFeJKIKrqVyvtxk1FrB\nnFWzuHhtDFv6N0ESvVfKnQorEvKq7vsNlKqbkIotHH6TRNFTQO6N9uD9N/8ikvkUvnLk2xUfY494\nW6GCfOnqGAzTwOYW9x8DhTYHAaW+4GbIZDUosujqk4GlY94Ad+umGZCJiMiTav2e9iSLJv4j2iiq\nZkCSBMcrbleyUh+yaZp48egVTM1nsGl9N27ZUqhydcVCUDXDl5uMWr25Z+cuwTRNbGnggpByIUWC\nCfi+bVHXDd+rxxZJFKC76EEu94vbfh7ru4bw9Jl9uDh/edmfWxXkeIUe5LyWx/868FUAwI0DWzy9\nvp9EUUA4JDf173Ymr1edD12JVGE0XyIUR1SOsMWCiKhdpLMqXjk20ZC+zEapVlm1ZyG3eHucH1TN\nqKt6bCn1IWcWff3ImRlcGL+GNb1R3HPzOrv62RUPAQCu+dCHXCsgn5m9AADY2t+4+cflGrVNz8m2\nQK8kUXC8SW8pWZLxm3fcD9M08U8HnlxWObf69WNLemx1Q8d/feEfcXz6DN40cifevOkN3i7eZ9Gw\n1LQxb7puIK/qrmYgA4AoLW+xEAQBQ/EBTKZman56wYBMRBQAxy/M4eTFOYxPV+5RDKJqocveprdK\nKshet+iV602EEVKkRQf1zo1dxWtnppGIKth7+8ZFHyF3FwPyQqr+gFyrxeJMccX0liYF5EZt0ytU\n+xsXkN0e0it3x/pd2L1+F45OnsRLowcW/Zndg1xWQTZNE3//yr/glbHDuGXtDvze3b8BUQhGbIuG\nZWi6YY9AbKRM8RMUNyPegMpj3gBgMLEGOS2HVL76gdlg/KSJiDrc+FQSQCl0tgN7dFiF8WfRVVRB\n1nSjrgkWFkEQsLYvhlRGRTKjYnI2jZeOXoEii/i53cPLKmTdsWJA9qOCbNSuIHeF4vYhpkYrzUL2\nN2DpRu112l6JkrgsbLn1G3fcD0mU8PmDX0NeK/1e01kVoijYEyIA4EuvfRM/Ofc8bui7Dn/05t+F\nIq08Aq7ZIvaot8YHZKvX2W0FeekmPYvVhzyTmav6/QzIREQtlkzncbVYJfRyCKhVqk2xiK+SHmTD\nMAsB2afQNVjsQz4zOo/nDl6GaQL33r4RPYnwssd22RXk+m8yrN9VpQryQi6JidQ0bujf1LQVxo1Y\nN73SXG6/FHqQ6/v7ub5rCL+0/RcwlZ7Ft078yP56KqMhFpbtn/93T/4Y3zj2A6xPDOGxvb+HqBKp\n63X9Fg01bxayPeLNxQxkoPIcZABYW7wJnEkzIBMRBdpYWVtFe1WQVw7I0XDhpHumzWch+zHirdza\nvkIf8tGzM8ipOt64cy3WDVRe6xwJSVBkEddSubpfV7c3zC1/H2dmLwJoXnsFUNaD7OOoMN3BOu16\nWD3IXvuQLb+y839DT6Qb3zj2fUynZ4vTXkpLQn564Wf4nwe+it5INx7/uY+iJ9Ltx+X7yvqEqBmT\nLLzMQAYqj3kDCuumAWCaAZmIKNjGiu0VQHtVkNUq4VEUBUQjMlJtvk2vtEXPn38ue7vCdjjceX0/\ntg73rvhYQRDQFQthIaPWHcqqtVhY/cfNOqAHlPcg+3dDWG3soB+kCmPDvIgpUTx06/uQ11V84dDX\nkcmqMAHEozIOXXkdT7z8vxBVIviTvR+1w1zQ2MtCmjAL2ZqBHHExAxmovCgEKGuxYEAmIgouTTcw\nMZu2P1rV26mCXKXFAgCiYQWZXHsvCylt0fPnn0tBEHDbtjXYeX0/bts2WPPxXfEQDMO05+R6ZbdY\nVBhVZ02waNaIN6AUkP3sQXayTrseK31k78XezXdja/9mPH/xFfz/7L15nFxXeeb/3LX26n1TS2rt\nmyXZlmVb3gTGxtjs4J8hmEDYZ5IJMIFMSD6BCTOThHySQIbghF9CWBI2A8GAwYAxwpZtrMWybEmW\nZG0ttXrfu6trv8uZP6rOrVKruuquVbeq7/cfg9RVddRVde973vO8z3Ns9CwAYFYex9//9l/BgsGn\nbv8DV3geL0UgH2iSqsIGmL6G4SG9JTY0HV6B7OHh4eF+JmaSUFSCrrwFmGxhSr7aVLIOCwV4qCqp\naycLPQl0Rtm4qgXXberUpfeN2mT1JueLulKF/oWZAbQGmtESaLL0GkYQHXCxcL6DnHteOzaxLMPi\n/bveAQD4welHsKDM4Pv930JWyeLjt3wQ2zo3Wn4NJwn4cu9fNdL0zLtY5P67uIPs531o8kW8IT0P\nDw8PN0P1x6u7IgCuvpi7mUoFCY3NrecC2e4OslE0JwuLVm+aPndRoT+TnMNser6q+mPAGR/kSica\nVlnqyN4sG9vWYu+amzGSGMVTCw8jKSfx4RsexE0rr7Pl+Z2k4GJRBYlFRgbHMoa/g/SzXirbpTPU\nhunUXNnHewWyh4eHR40ghGBkMg6BZ9HVRjvI9SSxoINfpTuhNDa3nq3eqM9rrQpkLSzEYoG8lPzg\nfJX9jyk8x4BjGXs7yBWs7KxCHUDsnBN49863QWBFKJDw5k334e71t9v23E7CcywEnq2KzVsqI+eG\nfg06rCzlgwzkvJBVtfzajfWrPTw8PDxsI5bIIp6SsKorohVgVoIIqo1UQX5Ao2Hr2epNcrgrWYmI\nTV7IsqKCYa6Oyy7oj6tbIDMMA1HgHOogO2fzBthbILcEmnBfzwMYnBnHA9e83rbnrQYBH+94B1lV\nCdJZBW1Nxm3uynX86aBeObwC2cPDw6NG0NS83o5wQd9Y6jzQpSxVdFGobVUyVb8Fst02b0YReBYB\nH4+YRS9kRVHBc8xVXbj+2XyB3FLdAhnIySysDh8WQwtXJ5P0APs3sW3cSgjBDk12Ui/kPpdZKIpz\n6YUZSQEhxLD+GCh0kEtdU/UE4ngSCw8PD48aMZy3d+tpD2ldr3ob0itVdFGCftpBrmeJBS2Qa1e8\nREMikmnJkvxGVshV/sCEEFyYuYyucAfCvtJezE7iE1hIsmqbpld7rxwrkJ3ZxGayCvyicQlBraE6\n5HTWOZkF9Vk2VSDnPwal3q4uHfZ5XoHs4eHhUQMkWcHkXAqtUb+mr7MjqauayLJatrNKb/qJOu4g\n13pIDyhK1LMgs6CbmWLGE1OIZxNVl1dQfEKu6MnK9hRYsjaI6KzNm92DtBlJ1mzv6olAFQb1UiY9\nkIGlbd4AfRILr0D28PCoKapKMLuQrvUyqs7YdBKqSrCio9C5Y1mm7iQW5bS5LMsg6OeRqucOcgUr\nu2pgh5OFrKhXuY3UIiCkGLvjpsulBdqBE0N6kqxCUQh8JgrAWlONuGmzHsjA0kl6ANAWbAUqdOy9\nAtnDw6OmDIzF8IvnLmFsOlH5hxsImp63oj2s/RnPsXXlYiFVKJCB3KBeKi3XlX1dMW7qIFtxslDU\nqyUWF6ZrM6BHKcRN29NBLpfsaAdODOnRIcW67CD7nS+Q0yY9kIHy7xfPcmj1l/f99gpkDw+PmjK3\nkAEATM2laryS6kEIwchUAj6BQ2u0MJ3NsUzdFJKqSqAopHKBHBBAUL9eyLIbCmSLThaKSqCq5CqJ\nxYXZATAMg7Utqy2v0Qy0a2qXxELzemad1SDb+R3N5CUE9dhBprIHJ8NC6HXDb0qDXD4avC3YUv7x\nhl/Rw8PDw0boBXA+bs3Gqp6YW8gglZGxoiN0hQMEx7F1M6RHpSCVUsuo1VvCRreCalJrmzcACAcE\nMAxj2slCKSETUVUV/bODWBntgZ/32bJOo9idpud8kt7SrghmoR1kv1h/pmKaBtnBuOmUpSG98ppx\nr0D28PBwNcn8xXU+kanxSqrHcAl5BZDzb7UjxrYa6HUMCAXyaXoO3kSdhMpIlrKyqwYsyyASFLCQ\nzIIs0Q0rR6lI8KHYKDJypmbyCqAgK7BLYqEF1zj0XrFOSCyydSyxoAWywy4WDMz9frgKBXIlqzev\nQPbw8KgptEMQS2TrRl5glZGpBBgA3e1XWmtRFwszRVC10ZLZKjgGBOq+g6zUtHtMiQRFZCXFVLAG\nfa+K3R1oQEitBvSAogLZrg6yzlMNs2hDejae8mga5DqUWAg8C45lnB3Sy8jw+3hTG9SCD3Lp9+uO\nvpvKP97wK3p4eHjYBCFE88hVVWI5LaweSGdlTM+l0N4cuKorQs3268HqTe9xNu0gJ+u0g1zJyq5a\naFZvJmQWpSQWhQS9NdYXZxLbJRayCgaFzqHdlHNFMEs9d5AZhkHAx2texXZDCEEqK5vSHwOVJRYB\noXw6X+2/9R4eHssWanFEsTKlXy+MTSdBAKzoCF/1d3x+CKgenCxkndpcLW66XjvIijsKZGr1FjMh\nRSrV7b8wMwCe5bG6aYU9CzQBtXmzr4NMwHGsY4EbTgSF1HMHGcgNz6WziiOnf/T+EDD5u2GYXIjR\nUkN6laj9t97Dw2PZQruKNHFtPt74OmTN3q3j6uQylnMmiMAJSulaS+ETOXAsU5cdZOrU4YYC2UpY\nCC3o6AmFpEi4ND+EvqZeCJxg3yIN4nOgg+ykHMYJH+RMpn47yEBOQkUIsW2TU4yVAT0Ky5q/ntb+\nW+/h4bFsoRfA7rZcsdjoThaqSjA6lUDQz6M5fLVzAB0uqgcnC72eswzDIODn67KD7LSvrhGiFiQW\nmhNHvgM6MDcMRVVqOqAH5Ap2nmORsSkopFRaoJ0444OcG0IT67hABpw5IaIeyGYlFkBOFuN1kD08\nPOoOWiC3NwfAcUzDO1lMz6eRkRSsaA+XPAYuaJAbR2IBACG/gHRWqRuHDoobLN4ofpGDwLOImeog\n5yUWfO4zV9Af17ZABnKFoW0uFiXSAu1EK5DtHNLLKhAErqYuKVYI52cMEin7C2Q7Osgcy3odZA8P\nj/qDdh2Cfh5NIV/DO1mMTOXkFT3tV8srAGduwE5RkFhUvrFTCU2yzsJCpHyAhRs6yAzDIBIUEU8a\n/44slsNcmHVPgewTWBt9kCsH11ih0tCXGTKSogVu1CPad9sBCVXaFomF+fCl2n/rPTw8li3FHYKm\nsK/hnSxGphJgWUaTlCyG3tzrYkiPDn7pKB6D/vp0sqC+um4okIGcDllRieHjbFlLmCt0kH28Dyuj\nPbav0Sg+kYOsqJZlC9Qe0VGJhc0nPDntrlq3+mOg4FITd7CDbCVEhWXNS2Lc8a338PBYlhSG9AQ0\nhemUfmMWyMm0hNlYGp0tgSULLic6VE5hRGJR6DLVlw5ZUmgH2R0FjOZkYXATqRRtZtJyBkOxUaxr\nWQXWoUhmI4haWIi1zZPeoVEr2K1BzsoqCCF162ABFNs4Oiix8FuQWDBeB9nDw6MOSWVkcCwDkWfR\nlB9aa1Qni9GpBIDS9m4U2v2qhw6yNsCmU4MM1F8HWUsLdEkHuTCoZ6xAphpfnmNxcfYyCCFY31J7\neQVQ7IVs7TNP9e2ckxILxl4JVD17IFN8AgeOYxzRIKfzmyazNm9AXmLhDel5eHjUG8m0jICfB8Mw\nRQVyY3aQR2iB3L50gdyIQSFAoQNUdx1kFw3pAcVWb/p/j4QQjEzFwXEMWiL+woBemzsKZLus3vRG\nn1uBZRmw+bRLO9AK5DruIDMMg7BfcEZikZYhCpylTY+nQfbw8Kg7FJUgk5W1IImQn29YJwtFJRib\nTiAcFBAJLu07W59Devo7yIk66yDLLrJ5A6B9dozIkObjWcQSWaxoC0PgWZx3QYJeMXbFTVdDYgHk\nvqNmO5KLoR1Sn2BeQuAGggEBkqxqQ612kcoqlrrHQN7mLa9PN/xYPT907NgxvOc97wEADAwM4F3v\nehfe/e5347Of/az2ot///vdx//33453vfCeeeuopAEA6ncZHP/pRvPvd78ZHPvIRzMzMGF6gh4dH\nY5LOyCAAAr7cTZ9hmIZ1spicTUKS1SXt3SjakF6D2bwJfM7vNlWnHWS3FMgCzyHg4w0Nsg5OLAAA\nVnVHAOQG9MJiCF2hdkfWaBTRpgKZbio5B4f0gHyBbJMEqt5T9ChODOopioqspFjyQAZynwcCwMye\npuK3/itf+Qo+/elPQ5Jy//DPfe5z+MQnPoFvf/vbIIRg3759mJycxDe/+U08/PDD+OpXv4rPf/7z\nyGaz+O53v4vNmzfj29/+Nt761rfiy1/+svEVenh4NCSlBjAa1clCk1eUSM8rRkvqqqsOcuWChGEY\nhPx83XWQ3VYgA0AkKCKZknTr1AfHF8CyDHo7QohnEhiPT2J962rH4piNQotDqxKLanWQWZa1XWJR\nzzZvgDMzBqn878aKxRtQ0I2b6fpX/CT19fXhoYce0jrFp06dwo033ggA2Lt3L5577jmcOHECu3bt\ngiAICIfD6Ovrw5kzZ3D06FHs3bsXAHDHHXfgwIEDhhfo4eHRmGgeyL7iArkxnSzGpxPgOAZdLcGy\nP8ex9RMUIuU9Z/UWWgG/gKyk1MUAIsVIl7xaREMiCPRFTi8ks5hbyKC7NQiB51zlf0wRebsLZOc7\nyLYVyA3WQbZzUI96IFvtIFtxBqr4rb/nnnvAcYU3r1jHEQqFsLCwgHg8jkgkcsWfx+NxxONxhEKh\nK37Ww8PDA1i6gww0npNFMi0j7BcqDpsUXCzqoIMsq4YKR2r15sS0u1O4sYNsxMlicDwvr+gqyCsA\n9+iPAUAUcr9bq2l6mi+34x1kB4b06tjFAnDmu03vD0GbCmQz75nhT1Kxb2I8Hkc0GkU4HEYikdD+\nPJFIIBKJXPHniUQC0WjU8AI9PDwak1Ixoo3oZKGqBBlJgU+H2X1d+SArqhZdrAd6DJuqozQ9yWVD\neoAxJ4vB8QUwDIPezpxzijag5xKLN6BYYmHtZKGaQ3p2nfA0SgdZi5u2ccYgZVcHmXGwg7yYrVu3\n4vDhwwCAp59+Grt378bOnTtx5MgRZLNZLCws4MKFC9i0aRN27dqFp59++oqf9fDw8ACuDAmhhPw8\neI417WShqkQ7mnML9Cbo91W+CdZXkp5qyFIrUIcdZFku+Ae7hUhQnwwpkZIwPZ9GV2tASyK7MHMJ\nLf4mtAabHV+nXqjEwjYXC4c3M7khPXOuCIvJZBWwLOOqz5cZ/GLOqjORsu/aSx0+rOqztaaDifdL\nd2lOdWZ/+qd/is985jOQJAnr16/HvffeC4Zh8N73vhcPPvggVFXFJz7xCYiiiHe961341Kc+hQcf\nfBCiKOLzn/+84QV6eHg0JqU6yAzDIBoSMRfPQFWJdnHTy8mL0zjZP4033r5O62rUmsKFvvLltl5s\n3gghhiUW2iCPyzYw5ZBkFQKvX2ddDUIBAQzDVNQgU/eKlZ05ecVMag6zqXnsXrHT8TUagWUZCDxb\nPzZveVcElQBW5c4ZSYZP4Fz1+TIDy+aHcO2UWKSvvj+YwcqpnK5XXrlyJR5++GEAwJo1a/DNb37z\nqp954IEH8MADD1zxZ36/H1/84hcNL8rDw6PxSaZl+EVOKwopTWEfZmJpLCSzmuRCL5fHFqCqBJOz\nSYQDTXYu1zRGwgAKQSHu7iArKgGBsW6dFjddRx1kyeAmoBpwLINwQKjYQR4aXwCDgv64f8Z9A3oU\nn8jZMKRHNcjOFptUZqqqKjjWWnczk1W0Abd6JxQQMD6ThKKotqQZ2u5iUQ2JhYeHh4dVCCFIZeSS\nFz+zThbJtKQN983E0tYXaRNpA1ZOPFsfQ3pm3B2CddxBdhvRkIispGinE4tJZWRMzqbQ3hzQvmNu\nCwgpxifkCmQrsoVqapAB66c8ikogyWrdD+hRgjaHAaUyMrj86YIVOAsSC/d98z08PBoeSVYhK+oS\nBbI5J4ux6aT2v2ddVSDrl1iwLAMGOZN8N2OmGBF4FgLP1lUHWVbcWSBrg3qJ0r/LoYkFEBTCQYBi\nB4vVjq/PKKLAQVGJpY0h3bTZ0b0sB2fBFaGYjIHrQj1AJW12xcmn8w0Uq/KTqrpYeHh4eFhFs/Dx\nX328aNbJYnQ655gj8CxmYhlbhmjsIJPRL7FgGAYsZ5+NlFOYdXcIBwTE01JduHQoKoGiElcWyNEg\ndbIo/R3R7N3y+mNCCC7MDKAr1I6IL1ydRRqAdlGtyCyUKkksbCuQG8TBgkIlVHak6akqQTprPUUP\ncNgH2cPDw8NukmUGMMw4WRBCMD6dQMDHo7cjDFlRddlgVQMjHWQA4FnW/R1k2Vwx0hzxQ1FIXQTB\nSHkHC4FzXwETKeOFnJEUjM+k0Br1a/rWicQU4tmEK/XHQCFu2kqBrG3aHB/Ss2dOoFE8kCl2hoVk\n8nIbq/pjwNMge3h41BmlQkIo1MkilsjqvqjNLmSQzirobguhNeoH4B4dshENMpC7Abu9g2xW79nW\nlHtvZhfc8d6UQ9NZG/B6rhaRYK4YKbXRGJ6IgxCiDecB7gwIKYYWiVacLBRFBQMYdr4xil1e5Y3W\nQQ7ZKLFIl3A4MouVjr9XIHt4eFSdSilJTWEfVJXoitMFgNGpnLyipz2EFhcWyKyBYROOZdw/pGfS\nc5ZuXqbn3fHelKMgI3FfARPw5U5ZYiW+H5cXpecBwLOXjwAANratrc4CDaKl6VkokHPBNc5b8tmn\nQW6sDnLQL4CBPR3klE0eyIA1H2SvQPbw8Kg6tMtQqoMMGHeyGMvrj7tbg2iN5jTMbhnUy2RzdnZ6\nb9w8Z19Sl1OY7SA3R3xgGMY1m5dyaDHTLrN5AwqnLPFk9gqtvSQrGJtOoDni0yKpj42dwpHhY9ja\nsQGb29fVaslloSmTViUWHOv8e8XZ1UE2YP9YD3AsA7+Pt8XFwi4PZMCTWHh4eNQZpUJCiqGDSSav\n/AAAIABJREFUenM6nCwkWcXkXAotUT/8Ph4CzyESFDETS7tiUC+d1RczTWFZ90sszBaPPMeiKSxi\ndiHt+kG9gsTCnbfJSEiEopIrCpLhyQRUlWjDebIi4+tHvw+GYfD+69/h2kAKrYOctTakVw05DC3C\nbRvSa5AOMpCTWSTTsuXvdtomD2TAG9JzFEUl6B+er4voVw+PeiGZznlcLnVzoAVyTIeTxeRsEqpK\n0NMW1P6sNeqHJKu2TFRbgdrZGTkq5DkGqkpcXUBaifVtqZNBPW0T4NICWXOyKPo9Di6SV/zi3FMY\nWRjHa9fdgTUtq6q/SJ0UXCzM32dzntXOF5scR32QbRrSa5AOMpBLy6Qe91ao1EAxgueD7CAXhuZw\n8OVR9A/P13opHh4NQ6qCx6URJwtq79bdFtL+rCUvs6j1UT7tEhkpkOshTc9KKEO9DOq5vUDWnCzy\nOmRZUTEyFUckKKIpLGIuNY//PPkYwmII79zxploutSJWh/QkWcn5qleh2KRH9tY7yLkisLE6yLmC\n1qoOmRbIns2byxmaiAPQd9Tr4eFRGVUlSGdkzTezFAzDoCmsz8libCoBjmPQ0RzQ/owOg9Vah0yn\nsY1ILOxK6nISszZvQK6DDLh/UK9ayWxmWexkMTqVgKIQrO6KgGEYfPv4j5GS0/idHW92pfdxMaLF\nAjmVse9IvhJaB9kGDbLAs44Hm1QTzerNopNFOiODgT2bh0KBbOKxll+9gclKCsZnculcsWVeICdS\nEvYfHTKcbubhsZh0VgYBEPBdHRJSTDRU2ckimZYwn8iiqyV4xY2m4GRR289r2sQ0Ni065XqQWJi4\nubdEc4N6td68VMLtHWQ6hEcLZCqvWNkVxtmpfuy/dBBrmlfi7nW312yNehHy7hNmh/TK2UbajZ02\nb43UPQZyEgvAng6y38fbYtlX6Pgbr5Dd+c13CSNTCW3Ix+16Oac5eXEaw5NxjEwmar0UjzqnXEhI\nMXqcLKi9W3d76Io/9wkcwgEBszUe1Ct4IBvoIFOJhYvnHswm6QGFQb0Zlw/qub1AFngOAR+PhWQW\niqJieDKOUEBAc0TE145+DwDwgV3vBFsFZwerMAwDn8BaLpCrEdtsxwkPIQSZrNJQ+mOg2AvZvAaZ\nEIJUVrZFXgF4Nm+OMZyXV4QDAtJZxZJHYz2TkRRcHMlpsK3Y8Hh4AMUx0+UvgM06nCzGpnMnPD1t\noav+riXqR0ZSbLEdMkvGYEgIYJ/PqpNoDg8mj4frYVCPJum5VWIBAJGgiGRKwshUApKsYlVnBE9d\nPID+2cu4ve8mbOnYUOsl6kYUOPMFso22YJUouFiY38DKSi7GvNE6yMF8B9nKcLQkq1AUe1L0AM/m\nzREUlWBkKo5wQMDK/ESwnon6RuTC0Jy2W87KXoHsYQ3NA7nCBTBawcmCEIKx6QSCfl47bi7GDTpk\nKrEw0ini8zdgNzvn0LWZ1U/Ww6CelS55tYiGRBAApy5OAwBaW1l858RP4ON9+N2db6vt4gwiChwy\nkmrqxEfvptsO7NjAZkxcF+oBgWfhEzhLaXqaXMam3w09QPE0yDYyMZOEJKvo7QxrN189E/WNhqoS\nnL08p7kNWLHh8fAA9OsFKzlZzMTSyEi5eOlSbhhuiJw2J7GwR+PoJLKigmMZrVgwSj0M6smye5P0\nKJG81dv0fBoBH48nh/ZhIRPH/dvuQ2uwucarM4ZP4EAI0aQtRrDTFqwSdgzpFTyQnV9vtQkGBCTS\nkmlpm3bN9CQW7mVoIj/w0Bm5ahhiOTE0sYBkWsLaFVEAXgfZwzqVYqYplZwsyskrgILVWy07yBkT\nQ3pcPXSQZdWS9KAl6gOD2ruMlEOSVTAw59RRLSKhwqCrL5rE4+efRk+4E2/Y9JoarsocouaFbPwe\nk6KuB1XQINsxpNeIHsiUsF+AohDToS92b3bo9dSTWNgEIQTDk3GIAoeO5sCyLpDPDMwCALauaQXH\nmp8y9vCg6B3SA8o7WYxOJcAA6CoKCCnGL/II+oWaJuqlTVg5FYII3NtBlhRiKWGO51hEwz5XD+pJ\nigo+767gVqKh3CaQEILfTv0KKlHxe9c/AIEr7xDjRqx4IacyMnwib/pEwwiaBtnCBlbrIDdggRyk\nXsgmZRZpmwtk1oIkxiuQSzATSyOZltHbEQLLMvCLPPwih9gyk1jMxNKYnEuhpz2EprAPAs95EgsP\ny6QyMnwCp6toXMrJQpJVTM3n46XLdI1aoz6ks4rlZCezpDOK4cn6uhjSU6x1kIGcBEZRytv41ZJc\nMpu7b5GhgACGYTBJ+nFu9gJ2rdiBXSu213pZpqDFotkCOeCrTrFpjwa58WKmKdTJwuygXtJmRxK6\nZ/IkFjZBw0FW5vPsgdwwRCIpudp6yW7ODMwAADavbgEASzY8Hh6UZLp8SEgxSzlZTGjx0qXlFZRa\n6pAJIchIiiF5BVBwTXC1xMKGApkO6tU67XApZFmF4GIHCyBXrF2/pRWnMs+CZ3m877r/r9ZLMo0o\n5H7XRpswWopeFfTHgLXoYkojSyyoF3IyZa4pkbbZ01qTxJg4kXP3t79GDE3EwbHMFdG10ZAPBEDM\npd0Ou0llZAyMLSASFNGT95gVBA5Z2dyUsYfzuLnjSDF6M1vKyWIp/+PFFJwsqn/6k5EUEEKMd5Bd\nLrFQVAJVJRB4a8fZbh7UI4TkJRbuLmBUVcXzM09jLjOHN26+C92RzlovyTRaml7WWGFlRLJlB3Z8\nPwtDeu7+fJnBapoedf6xy8VC6/ibqFsab4TSIvFkFvPxDFZ0hK84XosWHfXSC3sjc35oDqpKsLmv\nRdPgifkpY1lRXT3ZvdwghODQyTEMji/gTXesq4pZvlmM3syWcrIYm06A51i0F8VLl6Klhh1krUtk\n8OjXDp9VJ7ErgtnNg3qqtglwZw9pPh3DkxcP4IkLz2AyMY3WQDPevvXeWi/LEj5tSM/Y576aKXoA\ntOAVWyQWDdhBpqeDZtP0UmkZok4Jnh6s+CC7905aIwryiiuz65fToJ6iEpy7PAeBZ7F2RZP25yJf\nOALzCmT38OLZSfQP54JcEinJ1QVywa9U3xARdbKYXchAVQlYlkEiJSGWyGJFR7jiUE7AxyPg42vi\nt5s2ERICuL+DbDUkhLJ4UM+OWFm7cGOKHiEEpyfP4VcXnsGhoRehqAp8nIjXrLsNb9lyD/xCfTdu\nzA7p0e9ZtTrImqbVwgY2nc25bogNeB/1CRx4jjXdQU5lFdu6x4A11xH33klrxNBEHAyA3o7FBXL5\n0IJG4vJYDOmsjC19rVfcIIpteOgxikdtOXVxGq9cmtH+v9uHKM0ch0ZDPkzPp7GQzKIp7MPodE5e\n0bOEe8ViWqN+DE/G84M81bvkpbPmhk00DbLbO8g2FI+tUT/m4xntvXULkk1dcjtIZJPYf+kgnrjw\nDIZjYwCAldEe3LNhL/b23YygWP4UpV4QTRbI1UzRA3Kbdo5lLPsgiwLnqk2hXTAMg1BAMNVBVhQV\nWUlBS8S+awHDMGAYxpRm3CuQi0hnZUzOJtHWHLjqyxby8+A4puGdLAghODMwCwbAptVXGs1rQxQm\njNw97Kd/eB4vnZ1E0M9jdXcUr1ya0eJx3YqZxKtiJ4umsA9j+QK5u8KAHoUWyLOxNAKLNr5OYvQY\n9fjYafz7iz/Ah677PQDu1ZTbJbEAci4jF0dyEhg3FciyyQ5ySkrjO8d/jO1dm3FT73WWLOImE9P4\n4cmf49nLzyOrSOBYDret3o17NuzFlvYNrrafM4NZH+RqhoRQWKsFclZpSHkFJeTnMR/PIJvfCOgl\n5dBpAMcyXgfZKiOTCRBc3T0GcruQaMiHWCIDQkjDXZwoU3NpzMTSWNkZRjh4ZXyvFSN3D3sZnozj\n0MkxiAKHO29YpQ06uX3zYuZmVuxk0dsRxth0EkG/UDJeuhQ0MGQmlsaKKhbIRjrIs6l5fPHg17CQ\niePA8GH4scO1jjma/MCWAjnX/ZyJpa+Qc9UasxKLff2/xePn9+Px8/uxu/dafHDXO9EWbDH0HLKq\n4LEz+/CfJx9DRsmiM9SGu9ffgTvX3oImf9TQc9UTPMeY8tqvRYHMsaxpCZSqEmQlRdv4NyLFg3pG\nCmTqYGFXih6FZb0OsmWGl9AfU6IhEbOxNBJpGeEGlRicuZy3dutrvervqF7KK5Bry+RsCs8eGwbL\nAq+6fiWawj5NGy+7vEBO5nVpRgZqip0sZhfSyEoKVnWGdW9Sa+VkoVeDrBIVDx36BhYyuevPi2Mn\nsIffviw6yHRQb8ZlThZUYmGkQCaEYF9/zm5tQ2sfjgwfw8nxM3jXzrfgng17wTKVn+uVyfP4ygvf\nxeD8CKK+MD50w7twx5qbdD223mEYBqLAGU5gS2UkMLDPN1cPHGe+g5yVFRA0Zsw0hc6YJFKSIVMD\nvSmrRmEZxtSGpnHfIYPIioqR6TiiIXHJoz5tUC+eacgCOZGSMDgeR3PEh86Wq3VtZn0qPexjbiGD\n/S8OQVWBvdf3oiP/Pmnd/TqQWHAsY8jeqNjJQq+9WzEBXy7oZ7rKbgmZjD6JxU9f+TVOjL+CXSt2\ngGc4HB5+CfHILGQlUvZxtULO32h4izZvgHsH9cx0kM9M9WM4NoZbV92Aj93yATzZ/xy+dewRfO3o\n9/DswPP4yO4Hsbq5t+RjY5k4vn3sR3jy4nMAgLvX34EHd7wFYZ/+z3kjIAqctonWSzKfolfNz46V\nVNlGdrCg0PqIzpzoJeWyDnLjb0t1MjadgKKQkvIKSqM7WZwbnAUhBJtXt5TszmkdZJcXYY1KIiXh\nqaODyEoK9mzvvuKzKvD1sXlJpnODckYkStTJIpbIYiQfL61Xf0wf3xr1I5mWNNlDNaCT6uU2A+en\nL+HhEz9Bi78Jf3DTe7G7dycAYFTqd63Ewi4XC4obE/Wolt/Iv3Ff/7MAgLvW3w6WYXHX+tvxD/f9\nBW5ZdQPOTvfjU7/6azx84ifIKoUCkBCCJ/ufwx/9/LN48uJz6GvqxV/e9T/wkd0PLrviGMh9VyRZ\n1a0XJYQgnVGqZvFGsTKk18geyBTaQTaapleQpdn7u2FZz8XCEsMl0vMW00SdLBqwQJYVFeeH5uET\nOKzpKa1z8zTItSOdlfHkC4NIpmVct6njKr0mteCTXCyxUFWCdEau6F1cCupkMTWXQluT3/DNpSXq\nx8hUArOxDHraq3PZS2cV+MSlNwNJKYUvHvwaVELwh3veh6gvjF0rdoBhGIxJ/VDUO6qyTqPYKbEA\n3DmoJ8u5m6neDnIim8SBwRfQFWrHNZ2btD9vDjThj279EPaO3Ix/e+G7eOTUL3Hg8lF85MZ3I+oL\n499e+C5OT56Hj/fhvdfdj/s23gmObdzCqRK+onuMni6irKhVTdGjsCxrvkBeBh3kUCD3fhg9DXDK\nkYRjGEgmXIG8Ahm5G/fwZBx+kdfiT0sRCQpgAMzHG8/J4tJIDFlJwTXr2pY06PYkFrVBklXsPzqM\nWCKLLWtasW1t21U/w2sFsns3L+msDAJzhv7FAy1GuseU4sjpHgPyDCuks3JZO8SvvvAwxuOTeOvW\n12FH1xYAQNQXxpb29Tg9eR7x7EJV1mkUM/rccrhxUE9Sct8jvX7vzw7knCZo93gxN6zYgW0dG/G9\nE4/iF+eewv968h/AMixUouKmldfhfdc/gPbg1XMfyw16j8noLJA128gqF5vUFcHMwP5yKJADPl7z\nrDeCUy4W3pCeBabn00hnFazvbSqrY+I4FqGg0HAdZEIIzlyeBcMw2Liqecmfqxeda6Nx4MQIpudT\nWNMTxfWbOkr+DL2Ru7mDXBjAMK7fby7qLPaYKJBpol61AkMURYUkq0seFT596RCeGTiMDa1r8I7t\nb7ri73avuBanJ89jIHkBwPYqrNYYis0dZDcO6hnRINPhPI5h8eo1e5b8uYDgx/t2vQO3992Erxz5\nDpJSCu/b9Q7csGKHbeuud2jRqLcJU+0UPYoW5qMS8JzBAnkZSCwYhkHQzxsqkAkhmJlPwy9ytgf0\nsJ7Nm3mGJnKdmpVdlYdioiEfRibjSGdlVyeWGWF8Jon5eAZ9PdGyCWccy4C1MJzgYZyspGBoIo6W\nqB83b+9ZslvBsQx4jnW1zZuZkBAKdbLgORZtJiQaIT8Pn8BVrQjTboIlrhFjCxP4txe+iwDvx8dv\n+QD4RUfqu3t34pvHfojLqXNVWatRtCE9mwpkOqhXnJZYayQDOuv+2cu4NDeEm3qvQ3Ogcgd8Q9sa\n/M09fwYADWsXahajTZhaWLwB0BI8cwWysccuhw4yAIT8AsZnkpAVVdf3KNeolLGut8n274XZjr83\npIdceh7HMehqrZzM1dRgg3qpjIwXz04CADavLu/XyTAMRJ7zJBZVhBaVbU3+irHKAs9CcvHmxUxI\nCCXk59Ea9WNdb1PF30MpGIZBS9SPeEoynNRlhqUs3mRFxhcPfg1pOYMP734XusJXnwj0RDrRxLdh\nLDOAjOy+64xWPNrY5WmN+iErqmsG9Yx0kPddoMN5t+l+fpru5XElWpqeTqu32hXIuc+Fma5kRsqt\nudTmuZHQvJB1dpFpo7KcUYJZWJYBAWBUZbHsC2Qac7qiLaxrl1OwenPHhdwK0/MpPH7wEmbz2j89\nw1OiwHod5CqSzOQuLnp8IUWedbXEQvNANnEzYxgG996yBru3dpl+/dZ8YMhsFezelgoJefjln+LC\nzAD2rrkZt/fdtOTjVwc3QIGME+OnHV2nGQpDevYVeK1FYS5uQNaps05LaTx7+Xm0B1txbde2aiyt\nofEZHARPZ5zRrFaCLeogG0XrIDewxAIoFMh6rd5oo9KJGRGWMfd+LfsCeYi6V3Tp27VEG8TJ4tJo\nDL8+fBmptIxrN3Zgz/ZuXY8TBQ5ZWQUxIXj3ME4ylbu4lBv2ovC8u98bKx1kO2ipYmBIqWPU42On\n8egrv0J3uAMf3PU7ZR+/NphzQnh++LhzizSJVjzaJLEArhzUcwOSrIJhmIqnFc8NvoC0nMGda28B\nyy7726llaNGo95SnZh1kqkE2YcWYkZS8JK6xTxBCfv0d5Fgii1gii562kG3SrWLohsbooF5j9/h1\nMDQRB8Po37VEw1RiUZ9OFqpKcPz8JE5dnIHAs7j9ul5DRxoiz4IQAllRdU94e5iHdpD13ABEIffe\nmBkcqQa1uplRNCeLKgzq0c4WlVjE0gt46NA3wLEcPn7LBxEQyqdLdQd74WMCeGHkBFRVdVXxJeeL\nRzu1wm4b1JNkFQLPVpRB7LvwLBiGwZ3rbq3Syhob0XCBXP0UPaDQkTQlscgq8Ilcw0tsiuOmK+Gk\nvAIoKpC9DrJ+UhkZM/MpdDQHdH/BfAIHv8jXZQc5Kyl4+qVhnLo4g0hQxD039xn+QBa8kN17lN9I\n0OOpcsOTlEJYiDslMMm0DJ/ALWkj6DThgACBZ6tShBVLLFSi4p8O/zvm0jG8a8dbsL61r+LjRZ5D\nt7AOscwCzs9ccni1xsgN3diroV08qFdrJLnyYNHluWGcm7mE67qv8SzabKLgYqHvGlaLFD3gyiE9\no2QkpeHlFUBubgTQ10EemoiDgYMFsskNzbIukIcn4iAAVnYae1OiIRGJlKQdNdYDsUQWvzo0gJHJ\nOHraQ7hnT58pU34vLKS6FApkPRpkd1u9pTJy1e2YiqGJegvJrON+0cVDej869Uu8OHoS13Zvwxs3\n36Xr8RzLoltYBwB4fviYY+s0g6SottswATkdslsG9WQd/8Zf0+S8dfqH8zzKY+T+Qgip2TWl2ObN\nCNT+sdEdLAAg4M/lRlQKC0llZEzPpdDRErA9YppiVmKxrAtkzd7NaIEcFkEALNRJF3l0KoHHD17S\ngiZedf1K0ztYLSzEpUVYo5FMS/AJnC5dluDiND1JViDJqq5hQyeplg45k+8gn509h++//DO0B1vx\n0T3vLxkiUQqOY9DBr4LICjgy4i4dsiwTR3SCxWEutYQQokksliIrZ/HMpUNo9kexy/Mxtg1qV6nH\nxUKSVSgKqYlki7pYKAbT2QoeyI2vbuVYBgE/j3iq/JDe8GSuUdnbUdlm18paAK+DrJuspGBsJonm\niA/hoFj5AUVE68jq7ZWBGTz1wiBUleCWHT3YtbnT0nEU7VJ6HWTnIYQgmZZ1D7VpEgsXBrlY8UC2\nk2rpkNNZBRks4J8Ofx0cy+ETt34YUZ/+jTjHMuAZAVvbN2M4NobRhQkHV2sMvb6mRnHLoJ6S90st\nVyAfHHoRCSmFV6+95Sofaw9riAKHjA4JXyF4qBYFMh3SM1ZwLRcPZErILyCVkcsWpsMGjRLM4GmQ\nDTI8GYeqEqzWEQ6ymKY6cbKYj2dw9JUJ+H087r5ptS0xrp7EonpIsgpZURHQoT8GCu+NGzvItUq8\nWkyr1kF2tghLZDI4nPg5FrIJvO/6B7ChbY2hx1Od9s7OawAAR1ziZkEHdJ0okN0yqKfHA3lf/28B\nAK/x5BW24xM5XfeXWg79mi24CgFCy6NADgaEXKMnU7qLLMkqxqYTaAr7EDHYqDSCpkH2JBb6GBzP\nyStWmSiQaQd53uVOFlTLt7mvBW1NxtPHSlEYBHNfEdZoGNEfA0USCxe+N1Zipu0kEnR+UI8Qgufn\nfoNpaQx7+27Ga9ffYfg5qAvJltatYMC4Rmahpeg5oEF2y6BepRS9kdgYTk+ew46uzeguEfTiYQ2f\nwEJW1IoWavSa4vdVv9g0O6S3XDyQKeF8cye5xKDe2HQCikqw0qHhPAprsuO/LAtkSVYwOpVAU0g0\nNagW9PPgOdb1HWRaYIV0diD14DMYBephHjrcoPf9qwuJRY07yAzDoCXiQyyRdazT/tTFg+jPHEer\n2IkP737QlNsD1TiGhBA2ta3FK1PnEcvE7V6qYZzwQC7GDYN6lUJCaPf4rnW3V21Nywm9Vm+17CDT\nEx7TGuRl00HOO1ksMahnNIfCLN6QngFGJnO7llXd5kThDMMgEhKxkMi6wpJoKWiBpcciTC8CHdLz\nJBaOY7SD7GYXi1rqBRfTEvWDAJhbsP8E6PLcML76wnfBQ8RbVj8AH2/u2LAQREBwQ+9OEELw4sjL\ndi7VFE6k6BXjhkG9chILWZGx/9JBRMQQbuy9ttpLWxb4dFqJ1rRA9jrIuqBeyPESHWRVJRiZjCPg\n47XvvVN4Nm8GuGxBXkFpColQVFLRwqSWJAwWWHoodJDdV4Q1GkZCQgB3u1hYiZm2G02HbPOgXjKb\nwud/+6/IqhJ2Be9BT6TT9HPx+Q6yrKhaIfb8SO3t3mQqP3BAYgG4Y1CPWgAK3NVFzPMjxxDLxPGq\nNXsgcLWVCzUqddFBNjukt8w6yKEyEovJuRQykoLezrDjoSlmNzTLrkCWZBUjU3FEgiKaTcgrKAUd\nsntlFslULmXIzguI4LlYVA0jISEAIGhDeu57b1IZGSzLuOLGQAvk6fmUbc9JCME/H/4PjMYncOeq\nV2OFuN5Sulexz+qKSBd6wp04NnYaWaW2G3JJKa/PtQod1HN6iLIc5TrI+y7kh/PWe8N5TuHTOQie\nzsg1SdEDzA/p0QCh5dZBLiWx0NwrDNrsmsGTWOhkdCoORcm5V1jZtWhWb3EXF8h5E3U7U4Z4Lhcx\n6w3pOU9BImPQ5s2F700qIyPg410RrxoNifAJHMZnUiAGL5hL8dMzv8bh4ZewrWMj7lyZCwOxshko\ndKhysc67e3ciI2fw8vgZW9ZrFtnhApkO6s3EajeoJy3RJZ+IT+H4+GlsaV+PldGeWixtWUC/N5U6\nyLVK0QMs+CBrNm+1P0mrBjzHwi9ySCzyQiaEYGhiAQLPoqsl6Pg6PJs3nQzmdy1m9ceUqGb15k4n\nC1WlHrr2HgMyDAORZ70OchWg0cx6ixE6OOU2iYWqEqQyiiv0x0DuM9zZGkQyLZXUxhnl1MRZfOf4\nj9Hib8J/v+WDkPJPaaWzxWtDQLkL+u7enQBQczcLWYcFmlVqPai31JDeby4+B8AbznMaTWJRJiyk\nlil6QOGEx2B9jIykQOBZbQO8HAj6BSTT0hXNiLl4BvGUhJ72kDbw6CReUIgOFEXF8EQc4YCAloh5\neQWQs4tiGMa1ThbprAxCiK0OFhRR4Fx5jN9IGA0JAXK7ZIFnXffe0M9irR0siulqzXUtxmeSlp5n\nPD6JfzjwVQDAH936ITQHmrQbu99CB3mxLdHmtvWIiCG8MHwcKqndBkizeXPwplbQiNem+aBJLIr+\njYQQPHf5CHy8D3tW7arJupYLesKoapmiBxRrWo13kN0gM6smoYAARSVIF214CvIK59LzivF8kHUw\nOp2ArKhYZVFeAeRsXsIBAfOJrG3HtHbipK2WwOeSjtz4724UjIaEUASedd0AZS2HaZbCjgK5f+Yy\nPv3rv8N8Oob3Xnc/tnRsAFCkM7RwI6QFKO1msiyLXSt2YDY9j/6Zy6af1ypOu1gAQCQvX6tVB7mU\nBnk4Noax+CSu777GtDOJhz7o96ZcgVxrVxzWxNAXIQQZSVkWMdPF0CZdoui0bmgiDoZhsKI9VJU1\nmHm/gGVWINNwkNUW5RWUaEhEVlJ05cZXm4TmoWv/l9EnsPlELa9Adgqz75/Ac66TWGjDhjUOCSkm\nGhLhF3lMzCRNbfSOj53GZ5/8AmKZOD6w6514/abXaH+XzljXGZaauqZuFkdq6GaxlD7XTmiiVtxF\nBfLh4ZcAwLN2qwKiUHmWotabbjOuCLKiQlXJMuwgX+mFnExLmIml0dUa0OQ0TuNpkCugKCqGJuII\n+gXbPPe0QT0XyixSBh0QjCAs47hpVSWYjaUd756bff9yEgt3dffdEjNdDMMw6GoNIpWRDX9/n7l0\nGJ97+iEoqoI/uvVDuHfjq6/4+0xWhihwlnSGWhBBUZrYzq4tEFgeR4ZPmH5eqzg9pAfkPvMMw2Ah\nWRvHjlL/xueHjoFjWOxasb0ma1pOiDwHBkBGKh1PDNS+QNYKLgNNouXmgUwJLuogD1U89RoeAAAg\nAElEQVRZXgF4PsgVGZ9JQpJVy+4VxdAUPjcWyAmDDghGWI5peoQQDI4v4BfPXcQvDlxC//C8o69n\nNCSEIvLu6+5rxb6LJBYA0Nma89ydmNUnsyCE4NFXnsCXDn0dPt6HP3/Vx0rqUdNZxZL+GChIGOSi\nC7pf8GNH1xZcnh/GRHzK0vObxekkPSDXnQv5ecRrVCAv7iBPJWdwYXYA13RuRkh0fuJ+ucOyDAQh\nJ+NbilrGTAPmXCzS2eXlgUwJ563e6D2NFsi9DsdLF+PZvFXAjnCQxRS8kN3nZGHUQ9cIbrYTc4KJ\nmSSeOHwZz7w0rPleOx1kYDQkhOJGL2Tt3+KiDjIAdLXm9G96dMgqUfEfL/0Q3zr2CFoDzfjfr/kk\ntnVuvPrnVIKsZL1AXqpDVWs3C6eDQijhoIh0Vq6JXEiSVbAso3XxjwznfteevKJ6iEJ5p6Rad5DN\nSCy0kJDl1kEuStPLSgomZpNoifo1j+Rq4HWQy6CoBEMTuUjD9mb7Ig3dLLFIpiVwLGP5Rl0KvUbu\n9c5sLI2nXhjEr5+/jKm5FFZ1RvC6PX0A4PjxL/WNNHoRcePmpdY3s6WIBAUEfJV1yJIi4R8Pfh2P\nnd2HldEe/OXd/wOrm3tL/mxGUkBg3edUG9Jb1KG6YUWuQD409JKl5zdLNVwsgNx7A9RGhyzLyhUd\n8uc9/XHV8Qlc7ru0xPey1tcUlmXAMIyxAnmZdpBFnoXAs0imJYxOJaCqBCur2D0GzNvyueuO5RAT\nM0lkJQWbVrfYGlQgChz8Iu/KAjmRynlEOhHMUCjCGrNAXkhmcfz8FAZGYwByjgfXbepAW1PuSN4v\n8o7fuFMmO8iiC+OmU+mcJtfposoo1A95YDSG+XgWzSWsH5NSCn//7L/g5Ykz2NK+Hn9y++8j7Ft6\n8po6WFjdmBYHhRTTEmjCto6NODV5DuPxSXSFOyy9jlGcTtKjhAP5Qb2UhBabZkb0Iimq1iGPZxI4\nOXEOG1rXoDXYXNV1LGd8AgdVzUnFBP7qe1gqXbsUPQrHmiuQnWhauRmGYRAKCEikpCL9cXULZM/m\nrQyDDsgrKE1hEYmUpGnz3ICiEmSysmOuAaJ2jO+ef7MdpDMyjpwex8+evYiB0Rhaon7cecMqvGb3\nKq04BnLdrURKMmwZYwSjISEUGgXuLomFMT/nakLt3krpkGdT8/iL33wBL0+cwY291+LTr/pY2eIY\nKL4JWvv3Mgyz5A341WtvAQDsv3TI0muYQZNYOGjzBgDhfAe5FlZvkqxqTYCjoy9DJarXPa4yYoVT\nylRWht9XmxQ9CscyUA3c9+nQ4XKzeQNyUk9JVjE0uYBQQCjZjHASz8ViCVQ1F2noFzl0NAcqP8Ag\nbpRZpNISCAr2KnajJR01UAeZEIL9Lw7j7OVZhAI8brt2Be7d04ee9tBVXfhwUATBlb6Odq8lkZY0\n7ZYRBJd1kCVZhSSrrpNXUDQ/5OkrC+SMnMVf7f8SBuaG8Nr1d+CTt34Eog7/WzqIY8fwEMexJYct\n96zaBT/vw/6LB6oeGiIrKniOdTwyvGD1Vt1BPUIIZFnVJBbU3u2mlddVdR3LnXL3GC1Fr8bXFI7z\nJBZ6oYN6ikLQ2xF2/PqxGNZksEvDF8gTs0mkswpWdkUc2W26sUB22neW+lS6pQizg7HpJKbnU1jR\nEcYbbluHvu7okl/iiMPdrWw+JcqM64Mmf3FJBzlJ3VRcWiCHAwKCfgETswUdMiEE/3rk27g8P4y7\n19+BD93wLrCsvktlQWJh/d+b6yBf/R3z8z7csuoGTCZncGrirOXXMQItkJ2GdpDjqepeV2WFgIAG\n7mRxbPQUVkS60Bvtruo6ljvl5lxoip6/xtcU1qjEQlq+BXLxCWK15RUAQEs/oxrkhi+QtXAQB+QV\nQLHVm3ucLDSLN6c6yHzjdZBP9udss3ZuaK/oX+t00lfSgkVf4WjSHZsXN3ogF5PzQw4gIymYi+e+\nw09ceBrPDBzGhtY1eP/1DxjqdmQy9t0EOY7RoqYX8+q1ewAAT148YPl1jCArKvgSmlC74TkWAR9f\ndS9kKk0SeA7Hx08jo2Q9eUUNoN+fUveYWqfoUTiWNdxBZhhGmxNZTtBhc1Hg0NlSfatET2JRAlUl\nGByPw+fgm+LmDnLIAYs3oEiD3CAF8vhMEhOzue6xnhAZp49/rYS80A6y7JLufq2nzfVQbPd2bvoi\nvv7iDxDxhfGJ2z4MgTP2HtjZQeY5dsnZhi3tG9Ad7sChoReRzKYsv5ZepCL5gdNEggKSDmv9FyMV\naawPD+cSCz15RfXRJBYlUmrdck1Z6oRnKdJZBT7BeXmSG6H3zN6OUE1049rQszekV2BqLoV0VsbK\nzrBjb0rAx4PnWMzH3VQgO+s7y3M5i5tyRu71BO0eb1/XpuvnnZZYWAl5cZ/Ewjk/brvozOuQByYm\n8YXffgUqUfHxPR9Ae7DV8HOlbZxU51hmyY4HwzB49dpbkFUkHBh8wfJr6YEG0FTLjSQUcFbrXwq6\nIeE44IXh42jxN2F9a1/VXt8jRyFu2t0FspEj+4ykLDsPZEpLxIdbdvTguk2dNXl9zwe5BIMTefeK\nbuciDRmGQTQkYiGZNfzLd4qEwx1khmHgE1hXOSWYZWouhbHpJLrbgmjXOcQp8Bz8IuegxMJ8USny\n7nIYccvNrBw5HTKHnw4+gunULN65/U3Y2b3V1HOls0ouCcyGY1R6hLvUdWXvmpvBgMFTVZJZqCoB\nIcTxkBBKLbyQ6fdmLD2EhWwCu3t3gmUa+jbpSnxlpGJukW1xHANClv5+FqOqBJKkLEv9MZCrGdau\naKp9NLhXIOeg0cACz2pHqE7RFBahqkTr/NWaVFoCz7G23KSXQuC5hvBBfrl/GgBwzbp2Q48LB0Uk\nUrIjx79mY6aB4g6ySwpkl8ZML+a8fBgT0mXs7LwGb936OtPPk8nK8IucLceo1Eptqc9Ye7AVO7q2\n4Mx0P0ZiY5ZfrxLV8kCm0GPZalq90QL5XOwVAJ68olb4NBcL+aq/c8umm3Yl9dwDsjYFCHmYg2EY\nsCzj+SBTpufTSKZlrOyMVBy6sko0RAf13CGzSKRlhBwKCaGIAoesrJZNIHM7M7E0Ribj6GwJaHZf\neokExZwdmwPHvzQkxKyLBQP36MOTGQksy7i6c3Jk+BgOTz2LENuE1698m6WOYTqr2HYT5PLOGeV0\njtQT+alLB215zXJUK0WPUnCyqK7EghCC07OnEBD8uKZjU9Ve26NAweZt6Q5yrQM39Hw/KcvZwcIt\nsMzSkrUlH+PQWmrOZepe4aC8gkIH9ebjtXeykGQVWUkx5aFrBFFgtaSjeuWkye4x4OzxbyKV60Jy\nJgoRhmHA86zW7aslkqxiPp5FOCBUbTAlK2cxsjCue+M2tjCBhw79O0ROwE2hNyC2YP7zLMkqZEW1\n7cZN41GXcrIAgJt6r0VQCGD/pYNQjXoYGYQOfjp5MlVMWOsgV69AlmQV88oU5jJz2NWzHTzndfxq\ngcDnhtlKapBdkKIHFL6fpQYJF6N5IC9TDbIbMGrLBzRo1HSxvKLbYGfQDG5ysnDSdzaeTSAs5uQq\nhTQ9pWo3TDuZW8hgcHwBbU1+dLcZ/4w4dfxLCEEyI2mnEmbIyV9qXyAPTSxAVtSqbFLnUvP45fn9\neOLCM1jIxNEWbMGelbuwZ9X12Ni2tmRXOCNn8fnf/iuSUgr/7abfQ2yoE5OzSagqMTXUS7tEdhXI\ntFNbLqVT5EXctno3nrjwDI6Pn8Z1PdfY8tqlkJXqpOhRfAIHUeCqrkEelc4DAG7s9eQVtYLOuSzl\nYlHrFD0A6G4L4dJoDJfHFrBjQ/nrtddBrj1mOsgNWSBPzaWRSEno64ma6sIZJRwUwTCMK5wsNP2q\nTR3kudQ8nr38PPZfOoSBuSH81xvfg9esu1XzcsxIiqsdCpbi5EXaPW4z1d0sROHa290yGxIyujCB\nE+Ov4K51t0EU2KpO/i/FxZEYAGBNT5Njr3FpdgiPnd2H314+AlmVERZDuKn3Orw8cQaPnd2Hx87u\nQ0ugCTevvB57Vu7Clvb1YFkWhBB85YXvYGB+GK9dfwdetXYPDifHcH5oDrML6SuixfWSyVu82SWx\n0DtYcufaW/HEhWfw5MUDVSqQq7chDgcEzMczIIRU5RRCllWMSv3gGQ7XO/i79KiMKHBXFcg0RY/m\nD9SSVV0RHDk9jv6ReWxfX/4+4nWQa48ZDXJDFshnB2cBAOt7nbsxF8OxDEIBHokqpz6Vwo4OclbO\n4sjIcey/dBDHxk5DJSo4hgXP8vjeiUdx2+rdRV7Ite9UGiWWyOLyaAwtER96O8yl+jjVQTYTEhLP\nJPCXT30Rk8kZxDJxNHHXQM7rw2vluZlMSxifTqCtKaCdsNiFSlS8NHoSj53dhxPjZwAAKyJdeMOm\nu7B3zc3w8SJkRcaJiVdwcPBFPD98DL889xR+ee4pNPmjuLn3OgTFAJ6+dAgbWtfgfdc/ACAXO31+\naA5j00lTBbKdFm9AoVNbSca0vrUPvdFuPD98DPFMAmGfM0PJmkdwFU+MIkERM7HcPEnIYdkYAEwm\npxBTp7C9YysCQmVPdA/n8AkcFhLZK65jkqxCUUnNB/SAnAxkdXcE/cPzGJ9Jortt6e9dWts8ewVy\nrWDZ8nK1UtT+U2YzybSEwfEFNIVEw4NXVggHRIxNJ3JG+jWUHGghIQZvJoQQvDJ1HvsvHcKBwReQ\nktIAcjffV63Zg1tX78ZjZ/bhR6d/icfP78dG3w0A6jNN79TFaRAA20x2j4Fcd8MJqzejFm+EEPzz\n4f/AZHIGHMvhP08+hretbANBE2RFhcDX5oI8MLoAAmDtiqhtz5mRs9h/6SB+fvY3GFkYBwDs6NqM\nN2y6G9f1bLtCRsFzPK7v2Y7re7bjw+qDODVxFgcHj+LQ8Ev41YWnAQARMYRP3FoIA6F+yBOzSVwD\nfZ7YxaQz9oWEAPqHgBiGwZ1rb8G3jv0Iz15+HvdufLUtr7+YmnSQizzHq1EgvzJ3GgBwwwovPa/W\niAIHglxRTBsybrF4o6zrbUL/8Dz6h+fLFsiaxMLrINcMjmEgGZzTcMenzEYuDM1DVQk29bVUtXsW\nzl+8EykJzZHaHf8UQib03Uzi2QSeOP8M9vU/i4lETnbQGmjG6za8Cnv7bsbKph7tZ9+05W48fn4/\nfnz6cXzy+h0A3OO3q5d4SsLFkRiiIRGrOq1pY8NBEdPzaSgqsc0pxWgH+bGzv8GRkePY3rkZb936\nOvzV/i9h39ijuD34TmSl2hXIF0fnwbKMbfrjqcQM/uI3n9c2Aq9ecwtev+k1WNOysuJjeZbDzu6t\n2Nm9FR+84XdwevI8Xhx9GXtW7UJ7qBAGEvDxaAqJmJxNmXpP7e4gcxVs3orZ23czvnP8J9h/8aDj\nBXK1kvSAwnW1Wk4W5/P2brtX7KjK63ksTcHJQrm6QHaJXVpHcwCRoIjB8QVki9a5GE1i4ZJ1L0dY\njoVKrrYNLEdDvVuKSnBucA4CzzqqeyxFSLuQZ2taIOv10J1KzuDnZ36DX/c/i7ScgY8TsbfvZrxq\n7R5c07EJLHv1TTAshvDmLa/FwycexYHx5xDEtpp7ISsqQVZSdB+5nb44DUIIrlnXZnnIIxIUMDWX\nQjItaZILqxjpIJ+d6se3jz2CJn8UH9vzfjQHmvDGzXfhp2d+jROpZ/AmeRNCqL4+fDaWxtxCBqs6\nI7Z0U+OZBP7q6S9hMjmD+zbeibdufR1aAua+3xzLYXvXZmzv2lzy7ztbgzg3OIeZ+TQ6WozJLAo3\nweoN6VGaA024rucaHB05gctzw1jd3GvLGoqR5bzNW5UlFkB1wkLm0zGMpobQyvWgPdzi+Ot5lId+\nj4rvMW7xQKYwDIN1vU04dm4SA2MxbFxV+nNj9wCvh3GWvc3b4PgC0lkZ63ubqy5zKO4g15JkWoJP\n4JY8Br08N4yHDn0DH/3ZZ/Czs/sQEPz43Wvfhn9589/gD/e8Dzu6tpQsjimv33gnmnwRPD34NDJq\nquaRxi9fmMKPnjqP3xwZxNh0oqy9VzIt4cLwPMIBAX3d1o/+NRsqG91L9G5w4pkE/u+Br0IlBB/P\nF8cA8Ds73ozOQDcGsi/jhZHjtq3LCNpwng3yioycxd88888Yjo3hjZvuwvt3vcN0cawHKrMYn0kY\nfizVGdolsTCa/nQn9UR2KFmvthIL56+rL4ycAAFBr7jBce98j8r4ijrIFHp9dIvEAsjJyBgA/cPz\nS/5MJquA45iqfnc8roRjcw01I9kN7vmU2cCZgVkwADaubq76a9fC1H4xhOTS/KKLupmEEJyePI9H\nX/kVjo6+DADojXbjzZtfi9v7btQ0mHrwC368bdu9+MaLP8C5zBHskFbY+m8wyth0Mv/fBMamE2iJ\n+rFtTStWdUWu6hCfvjQDVSXYZkP3GID2e7ZTh6xnyJIQgn86/O+YSs7ggWvegO1dW7S/EzgB969/\nAP/y8j/j2ye/j92rN2vFczVQVYJLozGIAocVJgcgKYqq4B8O/BvOTvfj9r6b8LvXvd2mVS5NV0tB\nh2yUdA07yABwQ88ORMQQnhk4jAevfRt41t5ulVRlmzcg1ynkOKYq19XDw8cAAKsDGxx/LY/KiELe\nKSnr3g4ykDvt62kPYWQqgbmFTMkT5IykwCe4Z83LEa3hQAC9l7CG2c5Mz6cwPZ9CT0fYtuNuI4T8\nte8gaxZh+bUQQnB46CV8+td/i88++QUcHX0Zm9vX409u/318/t7P4M51txoqjil3r78DrYEW9GeO\nYSY5Z/c/QzeqSjC3kEZLxIfX7enD6u4I5mJp/Pb4CH72bD/OXp7Viot0Rsb5oTkE/QLWrrCnYHSi\nu5VMVw4JeezsPrwwcgI7ujbj/m2vv+rvV0Z7cE3gdiSkBL78/DermnY4NpNAOiujr9tagiUhBP96\n5Ds4OnICO7u24g9ufI+lhDu9+H08msK+nA7ZYNhKJitD4FnbukT096d38prneNzedxPmMwt4Kb8R\ntpNadJAZhkE4ICKezDr6OU5LaZwYO40mvh0tPuMDmh72QzvIxRILekrjpgIZANbmHbP6R0p3kTNZ\nxXOwqDE0GtyIzKJhCuSzl3PWbptX10Y75hNzsoZadpCT+dcOBQRMJWfwN8/8E/7+t/+CczOXsLv3\nWvzv1/wx/s9df4zdvTstFRsiJ+DtW++DCgUHJp62a/mGiSWyUFSClqgfbU0B3H5tL954xzpsXNWM\nVEbGkdPj+Mn+CzhxfgonLkxBUQi2rW217fjUbn0kDQkJlNEf53THP0KzP4qP7vlASTmMyHNYJ16L\nDU0b8eLoSTx+fr8t69MDlVdY3YR87+Wf4smLz2Fdy2p88raPVDXRrKs1CEUlmJ5PG3pc2uaboJEh\nPQqVWTzpgMyi2kl6lEhQgCSruhLLzPLS2ClIqowVwvq6DD5qREStQC5sVFNpOR8i4q5ic2VHGKLA\n4dLI/FXfV1nJJWy6bc3LjUIHeZkVyOmMjIGxBURDoqlUNDtgGAbhoIB4Uqpqx66YZEYGIQQn54/i\nk7/4P3hx9CR2dm3FF+77n/iT2/8rtnSst+217lx3C0JsM07FXsJ4fNK25zXC7EKugGmNFvxKI0ER\nN27rxlv2rsf29W0gAE5cmMK5wTn4RR7rbPTGFgUu59VpUwe5UkhIPJPAPxz4N6gg+NieD6DZX1rj\nS2Na37zmbYiIIXzz2CMYio3assZySLKCofEFRIIi2prMe8g+fm4/Hjn1C3SFO/Bne/9b1f1ouzQd\nsn6ZBSEE6axia/wtzxqTWADAmpZVWNO8EkdHTmA+HbNtLcXrqLaOMhzIb0QdbD5QeUUXt84rkF1C\nKQ1yKpM7Yat1it5iOI7Fmp4o0lkFo1PxK/7O7uFdD3MYnekAGqRAPj80l7N2W11da7fFhPwCZEWt\nmTfwwMwono3/EI8NPAqWYfD7N74Hf/6qj2JltKfygw0icDx2hm8FgYofnHzM9ufXw0wsVyC3RK4u\noPw+Hjs3dOAte9fjhi2daIn6sWtLp+0393BQRDwlGZ6OLUXxCcBiCCF46PC/Yzo5m9cdl3ZhAKBZ\nu/nZED5y47shKRK+dODrkBVjFjdGuTy2AEUluaEVk9/Dg4NH8bWj30OTL4I/f9VH0bTEJsBJOluD\nYGCsQM7mg1nsnFLXOsgGze1fvfYWKETFMwPP27YWoFAgW0knfbL/OTxy6heQFP3FbrEXshNkFQlH\nR06gLdCCJq4DfI2sET2uRFxUINMUPbfJKyg0mGzxsJ7ngewOlqXEotjazc5QAjPQC3m1dciqquLR\nV57AQ8f+EdPKMHZ2bMcX7vsL3LnuVkc3DOtD29DEteOZgcMYmne+Q7mY2VgaDFDWVk/gWWzua8V9\nt6zBmh77Px/RkKANR1olWWYA5Wdn9uHoyAns6NqCt2+9r+zz0A5YVlZx88rrcefaW3FxbhDfP/kz\ny2ssR8G9wlyX/uTEWfzjwa/Dx4v4s71/iO5wh53L041P4NAc8WFqPqW7e2t3SAigPyhkMbf33QSO\n5fDUxQO2nmZJcs4b2qxE6aXRU/jy89/Ewycexaf3/Z0W9lKJgpTJmevqf558DEkphVtW7gbDMF4H\n2SUstnnLuihFrxQtUT9aIj4MTya0YUKg0EH2LN5qC7ccJRZD4wtIZWSsXdFUs1AESqjKpvZAzrbt\nz/f9Lb517BEIrIgbg/fh43s+7KgVFsUn8tgWuBWEEHzv5Z86/nrFEEIwu5BBJCTW9IYWttHJYqmQ\nkLNT/fjOcao7fn9ZGz6gMP1NQ1zef/0D6Ap34Cenf4VTE+csr7MU8ZSEidkkOlsCmuWhEQbmhvC3\nz34ZBAR/fNt/wbrW1Q6sUj9drSGoKsHUXErXzztxjKo3anoxUV8YN6zYgcvzw7gwM2DbemRFNX0C\nM5uax0OHvg6e5bFn1S5cnB3Ep371OV1FfMEhyP4Ocv/MAB595Ql0htpw77q7AVQ3CMVjaXiOBccy\n2ncr5UKLt8Ws620CIQSXRgryJq2D7BXINWVZSizocN6mGg3nFaOlPlXBs1NWZPzg5Z/hU098Dhdm\nBnB73014oPdDWClu0p2iZxVRYNHJrcGG1jU4NPQi+m28GVcinpIgySpaotXVpy7Gzu5WqZCQpJTK\n+R1X0B0XQzeKEjWnF/z46M3vA8MweOjQN5DIGrcwq8TAqPnu8VRyBn+9/yGkpDT+8Obfw87urXYv\nzzCdrbmQEL0yi4IHsn03QTMXdMrd6+4AAPzqvH1DtLKimgoJUVUV/3jwa4hl4vjda9+GT9z6Yfz3\nWz4IlmHwz4f/A186+HUkpaU3IiG/AIZhbPdClhUZXz78TahExX+58XfBMbnvXTWDUDzKIwqc1kF2\nq4NFMX09UbAsg/6ReW3jl8mv25NY1BZ6PTUy9FzXV4KZWBqTcymsaA8hGqq+tdtiaAfZjuP2chBC\n8KVD38APTj6GJl8Ef3rHH+Bje94PVRLh9/FVM7kXBQ4Mw+DtW94IAHj4xKNVeV2goD9uLaE/XsxC\nJo4fnfolfnnuKfTPXIai2qcRj9ioj6Qd5FBRh+Th449iKjmDt229t6zuuBieY8AwDLJFMeCb2tfh\n7dvuw1RyBv//89+y9eidEIKLI/PgWAaru4xHS3/rpUcwm57He6+7H7etvtG2dVmhsyWnQ57QXSDT\nY1Qbh/QM+iAXs7N7C7rDHfjt4BEsZOKVH6ADWTbXQX7k9C9xcuIsdvdei/s23gkAuHX1bvzdPX+O\njW1r8ezl5/Gpx/8a56cvlXw8yzIIBXjb0/R+/MqvMDA/jNesuw07urZoJy6exMI9+ERO68C60QN5\nMX6Rx8rOMObjGe0eVeggu3fdywEzGuS6fsfc1D0GiqatHe4g7790EAcGX8DmtnX4s71/iKAYyFuE\nySUH1pxCzN9INjRvwPbOzXhp7BROT57D1o6Njr/2LB3Qiy6tP1aJiv0XD+Jbx390RZHg433Y0NqH\nze3rsKltPTa1rUXYFzK1DjvT9LSUqPwN4OxUPx4/vx+9kW7cv6287rgYqqOU5CsLq/u33YdTE2dx\naOhF/Oj0L/F2A89ZjplYGrFEFn3dUW2wRi+XZgfx3OALWNeyGm/YdJct67EDUeDQEvVjaj6NdFau\nWPg6IbGgw3BGNcgAwDIs7tmwF//x0g/x5MUDePOW11pejxmJxamJs/jByZ+hPdiKP7jxPVfMRHSG\n2/G/XvNJ/ODln+HHpx/HZ/b9HX5nx1vwpi13X2VDGQ6IGJtOQJIVW6R0g/Mj+OGpn6Ml0IT3Xns/\nAHgFsgsReQ5zcgaqSq66PrqVdSuacHlsAReG59HWFChcG7wOck1ZVhKLdEbGwGgMkaCInnZzxY3d\nCDwLn8A5OqT3/9q778A4Cjtf4N+Z2dnVFjXLllwkufcGboANxvQSkgCBJEACCUkwvgOSEHgkITl4\nLwXucXnvcnckgbt3R80BCZDQQsA2odiAbWyDC8a4YVsusq22fWdn5v2xmtHKlqUtM9rZ3e/nnwS1\nnfVIu7/5za8cDh3Bf65/Gl65AreecSN87tSt4Gg8CU3TB1xRbCV32iD3r878AgDgvz/686CMuWvr\nigPASUss9na04N6V/we/Xfs4EqqC62Zdgb9bcD3OG3cm6n1DsKV1O57b+iruf/tB3PinO/D9v/xP\n/G7N4/jb7ndxNNyW8XF4LBz1lr4kJKkm8dC6J6FDx03zr816oUsqQO6dKZdECd9f+G3U+Wrx9KYX\nsf7ApryPGUiffZx9E+R/d991uGbWFws6gaYvY0ZWQdd1fLp34GU4UYvXTAOAKAACsp9iYVgy9gy4\nJRmv73gLmp59kJ1O1XSomg7Zlfk56ooF8ev3/hMCBHzvjG/1eRHqEiVcM+uL+OmS21DlqcSTHz2P\nX7z5r+iI9p4EYNypsSL5oGkafrvmcaiaiu/MvdZ8DTUDZNYgO0b6spBiyCADwA3Qs2sAACAASURB\nVPA6P7weFz472NVrqhVrkAsrlznIzv5N68fOltRA7knNNY56Yw34ZLQH49B13fLjUjUV//reI4gl\n47jltG+g3t+z8cl48fAPUv0xkLq6B4BEUsWk+nGYN3IW1h34CB8e2opTRky37XF1XUd7VwwBr3zC\nVXlMieEPW17Gy9tXQtM1LGg8Bd849WoM9Q0BkAoaACCUCGPHsT345OgubD+2E58e24OVXauxcvdq\nAMDwwDDMaJiCmQ2TMb1+Mqo8J1+bHPC50dYVg6bpOc/nNJaEVPlTGfEXPnkd+zoP4PxxZ+aUkXe7\n+l5aU11RhTsXLcVPV/4Kv37vP3Hf+XdhZNXwnI4ZSAVOnx3sQoVbwvC67C5Utx3ZgQ0HN2N6/STM\naih83fHxxo+qweadx7B9bzumjh3Sb/Y0Hre+U10QhNTFUo4jBANuP85sno+Vu1fjw0NbceqIGTkf\ni5rlDGRN1/DgmkfRHu3EtbMux6Sh4/r9+hkNU/DARXfjN2sew/qDm3HHX3+O/3XuD8zfzcq0Zth8\n+w5e3r4SO9r24Mzm+Zg3apb5cXPOMzPIjmEElfEiCpBFUcC4kdXYsvsY9reGEOt+bcj27hpZq2xK\nLLTu0W4uSbR08YMV/F4ZxzpjiMaTljfLPf/xq9h+bBcWNs/DWaMX9PqckbX2eQczg9w9Tqx709FX\nZn4eHxzYhEc3/hET68bC77ZnaUsklkRcUVE/pOfn67qOtS0f4r82PINjkXY0+Ifim3O+gjkj+w4K\nAm4/Thkx3QzkVU3F3s4D+PjIp9h0eBu2tn6K5TvfxvKdbwMAxtQ0mgHz1KETUCGnLyeRcawzikhM\nMUsushVXVKiqDn+FCweCh/HslldQU1GF62ZfkdPPM0os+graxw0ZjaXzrsO/vf8IHnjnIfzigv8B\nn+zN6XEOHAkhrqiYPLo2q4sDXdfx+4/+BAC4ZqbzssdA6t9wYlMNtuw6hl0tnf2WcsUSSQiw/k3Q\nJQlZr7xOd+GEs7Fy92r89dM38wqQs10S8tIny7Hh4BbMHj4t4/KOqopK3HXW3+GFba/jyY+ex9Ob\nX8L3F34bgHUTgg4FW/HU5hdQ5QngG3O+3OtzLLFwHuM9xgiQBUEoinFpY0elAuRdLR2IKypklzho\nvUHUt1w2kxZlgLy/NYhITMGk5tqCj3Y7XvokCysD5O1Hd+GPW15Bna8W35l7zQkBhTFD92Rb2Oxg\nllh038ofXdOISyadg1e2r8Q/vv0b3H32bfC4rG+eNDbo1XbPP06VnTyDDQc3wyW68KVpl+KKqRfB\nncVjS6KEsbVNGFvbhEsnnQtVU7Gz7TNsbv0Emw5vwydHd2FPx3689MlyyKILt57+TZzeNAdAenYr\n9wA5mlZf9+/rfg9FS+LGOV/J+SLDnGShavCIJ/6NLB5zGva078NL21fg3957BHecuTSn9eN7Dua2\nWnrDwS3YdnQn5o2cNWB2sZAmN9di2542bNvThgmNNSe9CDDWTFu94UsUxaxe0I83bkgzJtaNxYaD\nW9AaOor6wNCcfo4RPGaSXd1+dBf++6M/o7aiGrecdkNWv1eCIOALUy7Au/s+wHv71qOl6xBGVQ23\nZFqMpmv43donoKgK/n7B9SfcFTJKkmTJWe8p5Sy9jC8WT8LrkRx5MX28Kr8bw2q8OHwsAlES4PMM\n3p1d6puZQS71OchGc97EppoCH8mJ7JhkEVVi+Nf3H4Gu67j1tG/0GTRFoslejz8Y0l+8DNef8iUs\nbJ6HbUd34v+u/nckLZwYYWjvrj8O+CX8ccsruP3Vn2HDwc2Y2TAZ/3TR3fjKzM9nFRz3RRIlc/LD\nPed8H49c8Sv85OzbcPnUiyCKEn639gmzVrnSn/8sZOMCZ1vww1TH/8hZOK3x1Jx/3vGzkPty3ewr\nMLNhMtYd+Ah/3PJK1o8RV1S0HAmhOuAxL1Yyoekantr0ZwgQzNp1p6rwuDB2VDVCUQX7DgdP+nWx\nRNKWLvV8M8gAcNGEs6FDx2vdd0NykWkGOZQI49fGWMIzbsxpE6IgCLhy2iXQoeP5ra8CsGab3vKd\n72DrkU8xb9RsnNE094TPM4PsPD01yJqjt+j1ZdyoauhI9RCw/rjwyqJJrz0YQ2t7FMPr/KgOZP6m\nPFjsmGTx6IY/4HDoCL4w5QJMq5/U59cYAflgvoAYUyyMEgsg1T1/y4IbMHv4NKw/uBm/XfNY3g1C\nxzvWGcWBxA7877X/hGc2vwi/7MVtp9+In5z93bzqafvjdrkxa/hUXDvrcnzz1KsRUaJ4cM2j0HTN\nklFvkZiCmBbG8v2vosLlwY1zv5JXpuT4Wch9kUQJ3zvj2xjmr8Mft7yMNfs3ZvUYew91QcthtfR7\n+9ZjT8d+LBo9H801o7J6zEKYOmYIBABb97T12YCqajqUpGbLrd9Uw2Z+Ta+nN81BpSeAN3atQiKL\nFc/pjGPor4FN13X8bs0TOBJpw5emXYrpJ3mtysS8UbPQVD0S7+xdi0OhI3BJIrweV84lFkfDbXjy\nw+fhk7349tyv9vn7ygDZeYwkTDCSgKrpljbB2q15eKV5QckJFoUnlcMc5J37U93Nk0c7Y7Tb8Xq2\nPlkTIK/ZvxErd6/G2JomfGXG50/6dZFYEqIoDG6A3EcGGQBckgs/WHQTJtaNxdufrcFjG5+1bLLF\n/s6DeG7vE1gTeRntsU58YcoF+OdL78WZo+cP2q23c8YuxPxRs7GldTte+mRF2ja93M95JJrEpuhb\niCZjuHbW5WZTYa6MN/n+MsgAUOkJ4M5FN8MjufFv7z+S1crw3Qe6IABZrfBOaiqe3vQiJEHEl2dc\nlvH3FVKlz42m4ZVo74r1uTgkbsMEC4MkCnmVWACAW5Jx3rhFCCbCWL13XU4/I5MM8l93vIk1LRsx\nvX4Srpp2aU6PYxAFEVdOuxiaruHPH78GIFXrH4kqWWfUdV3Hw+ueRDQZww2nXIUh3r7vPLJJz3mM\nwLIzlLpr6OQteseTXRKauufCM4NceLk06RXdK4HRjDa0JremIrv5KmQIAMIWrEVti3bgd2ufgCzJ\nuPWMb8IlnfzFIRJT4PO4BrU+y2zS6yMIq3B58KOz/h6NVSPwyvaVeP7jV/N6rHAigkfWP4M7/vpz\nHErsRbNvHH510U/wtdlX5txglitBELB03nWorqjCU5tewKHwQbhlKa9FBpuPbkWLsh3jakbjwvGL\n8z5GI0BOJAcucRlT24hlC65HLBnH/37ntxlt2gtGEjjaEUVDnS+rWvu/7X4XB0OtOG/cmRgeGJbx\n9xXa1DGpC5atu08cARizYQaywSUJ0HU97yD5gvFnQYCQ82a9pFmD3Pfry4GuQ3hs47Oo9AQyWoee\niTMa52JEoB5/2/MujkbaEPC5oSP75MNbe97HxkNbMXv4VHOKTV845s15jL+pDiNALqISCwCY0FgD\nAT19KlQ4uYx5K7pXAiWpprrFHXqVL4kCvBVy3hlkTdfwm/cfQygRxvWzv4TGqhEn/VpV0xGLJwd1\nBjKQyiYJgnBCBtkQ8Pjxk7NvwzDfEDy16QW8viP7GkhN07Bi5zu47ZV78Mqnb2BIRS1O938eX59y\ng23lFJmoqqjEsvlfR1JL4l/e+y94vQJCUSWntcAxJYYVB1+BABFL519nSXBhjOAbKINsWNg8F5dP\nvQiHQkfwL+/9J7QBllMc60w1So4advLxd8dLJBP445aX4ZZkXDndmiUlg6Wu2ouGIT4cOhY2N2QZ\n7FgzbTB+FwY6HwMZ5q/DnJEzsKNtD3bmsBJeGSCD/OdtryOpJfHtuV89aYY2W6Io4oppF0PVVLyw\n7XWzATqbOfMd0U48svEP8Lg8+M686/pNIChJDZIkWN5oSbkz7lKGI4NfQmiFYbVeXLpoLKY49I53\nOSmLGuS4okGWnd3JGvC6EI0l82qu+cv2N/DR4Y8xZ8QMXDih/4xiNJ6EDlg+Vm4ggiDA7RL7rXMd\n4qvB3UtuQ5UngP/44L/x3r71Gf1sVVOx6fA2/Hj5P+KhdU8ioSq4dtblWDrtVgyXx2FIVeHvIMwZ\nOQMXjl+MfZ0HsCm0qnvbU/YXRk9tfhGhZBem+uZh7JAmS45NzqBJ73hfnfEFnDpiOjYc3ILHPnwW\nSj/1qkaQks3Ujtd2voW2aAcunniOZUHUYJo6NpVF/nhP7yxy3IY10wZX92iifOuQAeCiCUsAAH/9\n9M2sv7e/Eov2aCfe/mwNRlTW59VY2pczRy/AMH8dVuxaBd2VyiJmWuuvaalZzOFEBNfNurzX3Pi+\nKEmNEywcxgiQjd/+wZzSZJXqgMfcikmFUxYlFkpSdWz22OD3pm4FhrtHd2Vrb0cLfv/Rn1DlCeDm\nBV8f8GIgYsxALkB9lluWEFf6D8JGVjbgx4tvQYXLg39577/w0aGPT/gaXdext6PFHBF34/N34Gd/\n+zV2te/FmaMX4NeX3IvLp16EYDj1b5rvsgCrfP2UL2FEZT3Wt72HI8rerOuQdxzbg798+gYCYg3m\n1Z1l2XGZJRb9XLwcTxRF3Hb6jRgRqMcr21fi7176CZ7d8gq60tZ0G4wLgUx/5yJKFM9vfRU+2YvL\np1yY8TE5yYg6P2oqPdh7sKtXOY2xCMCOEgupO4Oc7yQLAJg1fAqGB4Zh1b51vVavZyLZTwPbXz59\nA0ktic9PPnFFdL5cooTLp1wERVXw3uFVADKv9X9684v48NDHmDNy5oBJBiAVIJ+shIQKQxKFXr9z\nxZZBJueQyqHEIq6ojt9Ik8utwHQPrnkUipbEsgXXoyaDMUnmDORBziADqTrk41ca92XckNH4H2ct\ngwDggVUPYcexPWgNH8PKXavw63f/H2564Ye4468/xyMb/oAPDmxCdUUlzh9/Fn523h247fRvYogv\nlXFs64rBLUvwO6RZw+Ny49bTvglREPFB5HW0dnUO/E3dkpqKh9Y+AV3XMdt7Lqq81gX92ZZYGPxu\nH/7nubfj85PPh6IqeHrzi1j24o/x8Nonsb+rp4HPuPjLdHPjS5+sQDARxhemXNDnyuFiIAgCpo4Z\nAh3Ats/azY/H7GzSy2G4/cmIgogLJyyGoip4Y/e7WX3vyTLIUSWG13a8hWpPJRaPOT3vY+zLkrGn\no9Zbjbf2rkJCi2ZUvrZm/0Y8//GraAgMw62nfSOjwD2pao6bq0+9l+9UMECmHOVSYlFUv22qqkFV\ndbM5zKl6JlkkAGQXDOi6Dq+rAldOuwRzR87M6HuMQHwwZyAb3LIEVdORVLUBZ6ROr5+E757xLfxq\n9cP4yYoHeo1/q6mowpmjF2Bm/WTMbJiCof4TpzgkFBWhiILhdT5HldhMqBuDS8dfiJd2vIrnPn0e\ns8f9fb9fr+s61h/cjD9ufhmfdbZgUeNpGBZqsvQCJ9MpFn2p8Vbj66d8CVdN/xze2L0af9n+Bpbv\negfLd72DU0dMx+cmnYdw1APZJWZ0sdoVC+KlT5aj2lOJSyeek/XxOEnz8Cp8+OlR7GzpwIzxdahw\nu8wmvQqPDU163RnkpAUZZCC1aj3VD/AWLpt8XsYZX6PE4/i/8RW73kFEieKrM78At2TP648syfji\nlAvxyIY/YE/yQwyN9J8Nbuk6hAfffxQeyY07Fy3NaNmO1v0axgY953HLEsJRpWi26JEz9QTImX9P\nUQXIxrQEp2eQjaxaLhlkQRBw77m3Z/U90QJs0TMYmcqEoma0hnZB4ylYNv/reHrTixg7pNkMiEdV\nDR8w6G0PpmoQayudUV6R7qoZl2D17g/xccdmvPPZGpx53CpwINV4ua7lIzy75RXs7tgHADi9cQ4+\nN/ZzWLPpmKW3D/MJkA1euQKXTjoXF09YgnUHPsLL21dgw8Et2HBwC6qloZheNQ9Hw0NR56vt99w9\n//FfEUvG8dWZX+i1orsYSaKAKWNqsX5bKz7d24GZE4amjXmzYw5ydwbZghpkILVifVHzfLyxezU+\nPLQ14/XTfW3SS2oqXt6+Eh6Xx5LJK/05b9yZeG7rX7AjuhHj3XP6XKEOpDLa/7TqIUSTMXz3jBsz\nnrNtXIBwBrLzeLoTYsWyRY+cyahBVrOIkIsrQO6up3R6gGz1LOSBGIG4ryAZ5J5lIb4MY58lY8/o\nd9zSybR3Tw8Y4pD643Q+jxunV1+C19ofx3988BSmDJ1gZsE1XcOa/Rvx7JZX8FlnCwQIWNg0F1dO\nuwTNNaPMzZBW3gE4fg14PkRRxILGU7Cg8RTsOLYHL25bjvf2r8fq9lex+qVX4XVVoLFqOBqrR6Kp\negQaq1L/O8Rbg2PRdry2400M8w3BBeOtq7EupPGjarB55zFs39uOqWOHIJZQIYlCRheI2cpluP1A\nLppwNt7YvRp//fTNjAPknhKLngBl9d51OBZpxyUTz7G9bMbjcuOyyefj9x/9CTtiGxGNTz3h70XX\ndfxmzWNo6TqEz006D4ua52f887kkxLk8cipMYf0x5aPkSyyMjW1Ob9LzelwQRSHnGuRsRWIKJEko\nyL+LmUG2IBAbiDFeyykNescbUTkMs+JnY314OR5c8yjuPvs2rNm/Ac9ueQX7ug5CEAScOXoBrpx2\nca+xfdGY9XcAJFHoHsFn7RbDCXVj8I1ZX0NV12xEvHuQdHdif+cB7Grfi0/b9vT6Wp/shVeugKIl\ncfWMyyDbdAt+sMkuERObarBl1zHsaulELKGiwqYZ5EbQbVWJBQCMG9KMiXVjseHgFrSGjqI+MHTA\n7zEzrN3Ho+s6Xtj2OkRBxOcmn2fZsfXnwgmL8dyWv2JnfAOOdl0Gv7d3GdYL217H+/s3YNqwibhu\n9hVZ/ey+MuTkDG4zg1xU4Qo5TC5zkIvqN84IwpyeQRYEAf4K2dJ10/2JxJLwV8gFuf10sm16dmjv\nisElieZqZ6cJ+Nxock2DPrwVGw59hGUv/Aid8SBEQcTiMafhymmXYGRlwwnfF4lbP4XEGMGXtOHC\nJRJLwitW4vTmczF9XGp0VlJTcSjYin1dB7Cv8wD2dR7E/s6DOBhqxdjaJiwefZrlx1FIk5trsW1P\nGz7e04Z4IomaSnvW3lvZpJfuogln49Nju/HazrfxtQyCyWRSgyD0zAj+8NDH2NvZgkXN8wYcn2YV\nn+zFmaMWYfne5Vi5exW+2dCzWXTT4W34/aY/YYi3Bt9b+G24xOzeI46/ACDnMN5jGCBTPoyKrNKt\nQTZKLIqg09jvlRGMJFKzNW3MSiRVDXFFLVhWNZd5u7lIqhq6wgkMq/U6tg6t0pe6SLlq0pXY3bEH\nwXgI54xdiCumXoThlfUn/b5wNJVBtvoNQHaJfW45zFdfTaEuUUJj9Qg0Vo/AGU1zzY8n1SREQbRk\n+YmTVHhcGDeqGp/u6wAAeGyYYAFYO+Yt3elNc/Doxj/ijV2r8OUZlw3YYJdqwhXMv70XP0mtf/7C\nII/su2Dc2fjb3rfwVstbuC55EdwuN46Ej+GfV/8HREHE7Qu/k9Hkn+OxxMK5jPGJnGBB+Sj5RSE9\nNcjOP+zekyzsEzFuzxdo7Jmn++o+bnMGuSMYhw6gxoENegZjnaiuuPHARXfjN5//JZYt+Hq/wTGQ\nyiBXuF2WD5OXZcmWC5dsZiC7JFfJBceGKWOGwLhUs6u73q4MsluScd64RQgmwnjns7UDfr2i9lzo\n72rbi02HP8HMhskYW2vNYptMNVRXY6xnFsLJEFbuXo2EquBXqx5GMBHGjad+BZOGjsvp5xqjKhkg\nO48xNrXKz3XNlDsz2VCqc5DNGmSHl1gA+c9CzpQRrGQ6j9Zq5rQEi2tdj9fm4AY9gxEghyIKqiuq\nUOutHvB7dF1HNGbPmnC3S0RS1SwProyMd6F+55yi0udG0/BKADYGyKK1UyzSXTD+LLhEF/5r/dPY\nfHhbv1+bTOpmPfQLn7wOYPCzx0DqLssk3xxIggt/3vYa/n3d77GrfS/OGbsQ548/M+ef25NBdv57\nS7kZNSyACxaMRnNDZaEPhYpYyWeQ40UyxQLouf1s9yQLIwD3lngGud1s0LOn1tMKxl2DTFfhAql/\nN1XTbQmQe0a9WXtuwrHUTFLWBALTx9XB63GhvnbgWbu5MJv0simcy9Awfx1uX/gdqLqG+97+DT48\ntPWkX2vMOW8NH8N7+9ZjdE0jZjVMtfyYBiIIAob6azDOMxPHIu14c897GFfbjG/N/WpepVd9Tekg\nZxAEwdGldVQcemqQSzRAVoqkSQ/oySDb3ahnbNErWAZZNja22RsgtwXjkEQB1X7nBsgeWYLsEnut\nIR5IT4mM9efPyIYlLS6ziMQUc1JLuautrMAVSyZg5LCALT/frhpkw7xRs3DnmUsBXcc/vv1brD+w\n6YSv0fWeRUAvf7ICmq7h85PPL1jAUumTMc49B7LoQqXbjx8suinvJSXMIBOVNqPJOJs7qkUVIMe7\nb+N7iqAG2T9YJRZR6ycgZMM4F3EbSyxUTUdnKI6aSo+jgzJBEFDpcyMYVTK+Ss2mnjdbRgbZykY9\nVUuVhAS8zB4PBrtqkNOdOmIG7jrr7yAKAh5Y9RDW7N/Y6/PGFr2kEMPKXatQ56vFwuZ5th3PQAI+\nN7xiAN+ffwt+dv6dGGbBFA026RGVPlEQshrzVlSvBoqiQhDsGchvNTObaHeAHLcvA5kJlyRCEAQo\nNpZYdIbi0DTdsfOP01X63dA03TwvA7Ezg+y2YcJINJ6EjsL9vpUbO2uQ080aPhU/XnwLXKIL/3f1\nv+PdfR+YnzPKDz7u2oC4msDnJp2X9Rg1Kxl35+rcw/scm5gLhZv0iEqeKAqlW2KRUFS4XWJR1CIJ\nggC/V0Y4qkDP4oolW5GoAnd3MF4IxrxdO+cgmxv0HDzBwmDMaM60zMKOJSEGWbJ+RrVxx6LcG/QG\nix2LQk5mWv0k3L34VrglN/753f+Hdz5bYz62qifxYfta+GQvzhu3yPZj6U96M6xVmEEmKn2iUMIB\nclzRzLm7xSDglVNzihP2BI+6riNs0wSEbMiyPfN2De3BOABnN+gZjDfvTBv1wjH71oTbMaO653hZ\nYjEY7Fg13Z8pw8bj7rNvhddVgX99/xH8bfe7SCY17Et8jIgaxoUTFsMrF/ZCtTKHZtiBGHX6xXB3\nkohyI4qlXGKRVM2pCcXArEOO2VNmoSQ1JFWt4Le7PbJkawa5rSsGQRBQE3B+gBzwGgFyZuc8EktC\ngD1botw2TLEIM4M8qIzZ2HY16fVl0tBx+OmS78Ine/HbNY/jjc9WYUd8PSRBwiUTzxm04zgZX/fW\nUCvL1xQGyEQlTyrVEgtjnmsxTLAw2D3JImzOQC5wBtklQdV0W24Da5qO9mAM1QG35Ys07FDp785u\nhTPLbkXiCjxul5kptJLRkW9ldt/Ommk6kfF7kbS5Bvl444eMxj1LvoeA24entv4RIa0Ds+pOyWi2\nt91EUYDf68pqWsxAlO4pHU5uAiai/JRsDXIxrZk22D0LOeqQYMXI6tuRRQ5GElBVHbVFUH8MZDfq\nzc4lIYA9TXrmRRlLLAaFKGY/msgqY2qbcM8530dADgAQcNaoswb9GE6m0udGLKFadndESaqsPyYq\ncSVbYtGzRa9oDtm83W7XqLewjSPCsmHUuiZsGPXWs0HP+eUVQM+ot1AGzZnxRGpJiF3lCsbtYisn\njPQ0hRbPhWqxk0QBqg2LQjLRXDMKt516G5YEvoKRlcMLcgx9sbpRL5nUWF5BVOJEoUTnIDODfKJI\n1CEZZPNWvvUZ5PYuo0GvODLIQOrNW9V0sxzhZIxRcHZtQTTKkawqsTCaQgtd0lNuJFG0fcxbf3xS\nADWuBkdtmTPK16xq1FNUjRlkohIniamyzUwnixXNK0KiiLboGWSXiAq3hFDUulq5dJG4Q2qQzQyy\nDQFyMAYBQG1lcWSQgcxXTtu5JARIb9KzJkBOOKQptNy4pMJlkIG0BjYHBZA9f2P5Jx80TYeq6gyQ\niUqc0WOQaRK5aF4RirHEAgD8XjcisWRWheGZCkftm4CQDbe5btraN3Fd19HWFUOl311Ut/Sr/P2P\negtFFWzb04ZNO44CsO8OgNTddGRVnaY5A9mGkXR0cpIkDnqTXjqj+dZJJQhGiYUV5WvGhT0DZKLS\nJnbv0Mg0Hiuae6XFmEEGUrcCj3VGEY0nMwoskqqG19//DF6PC/OmDTdvJfbFnIBQ4DcuI1MZtziD\nHI4qUJIaRg4tnvIK4MRRb7quoyucwL7DQexrDZmLTwQADUN8GD7EZ9uxuF2iZRcuoQKvNS9XhaxB\nBnoCZNlBAbLxWnqkPdLdYJfb+4Kqanh380EAQHURjJEkotz1ZJBLLUBWijdABlLBXiYB8r7DQbQH\n42gPxvGX1btx6uR6jB9VfcL2QGMCQo0DSg/MDLLFTXpGg14xLAhJZywyONoRxcbtrdjfGkJX99g3\nURQwYqgfTfWVGFUfsD3773KJljVPRmKcgVwILkmAqqbq5gqxRTTpwBILlyRi7Mgq7D7QhZXr9uOc\nuY1Zvzeomo53PjyAg0fDGDnUjxnj6mw6WiJyAklMvYaVXgbZKLFw0It0JtIb9eoz+Pqd+zsAALMn\nDsPW3cewZssh7D8cxILpw3vdio91T0DweQofrBhvTFZnkI0GvSFF1KAHAB53atTb0Y4ojnZEIUkC\nmuor0dgQwKhhgUG9yHO7JETjcUt+Vri76ZAlFoPLXBai6QVplDPKO5xUYgEAp00fAV0H9hzswop1\n+3DO3EZUuDN7S9M0Has/OoCWIyEMr/PjrFNGFfxOHBHZqzs+LsUAuUgzyD4jQB64Ua8rnEBrexTD\n63yYPq4OY0ZU4f0th3DgaBgvr9qNeVMbMGZEFQRB6GnwcsA82p4aZGsD5LagkUEurgBZEATMmjAU\nbV1xNNYHMGKov2DBhVtOTUBQNT3vZSR2NxVS39LXTReiFD8aT/U6OC05IYoCTp8xApIoYGdLJ1as\nTQXJA9X0a5qOdzcfxL7DQdTX+rD4VAbHROXAqEHOdNRb0bwqFGuA7E8rr2P+BQAAIABJREFUsRiI\nkT0eP6rG/N5z5jZi/rQG6Drw7qaDeHtjC6LxpDlCzAm3u3tqkK0rsdB1He1dMfi9clGtFzdMHj0E\nZ8wcgaaGyoJm3mTJKH/J/+IlHE1CFIWCN4WWm0Ksm07XFU7A75UdGUSKooAF04djUnMtOkNxrFi7\nr9/XWl3X8f6WQ/jsYBeG1nhx9pxGx2XGicgeZg1yyQXISQ2CIDhqFmcmfBUyBAw80F7VdOw+0Am3\nLKGxPmB+XBAETGyqxaULx6C+1of9rSG8vGo3drV0ArBvhm42ZJcIAdYupOgMJRBLqKirLq7ssdMY\nI/gUC4KrSEyBz+MqSB1sOSvUumkgVTYVSyTNySxOJAgC5k6px/SxdQhGEli+dm+fE2R0XcfarYex\n+0An6qorsGROIydXEJWRbJv0iubVIaGo8Mhi0b05S6IAb4Vsbr07mQNHQoglVIwdWdVnpibgc+O8\n+U2YN7UBqqah5UgIgDMyyIIgQJYlS+cg7zscBAA01Vda9jPLkREA5HtuVFVDNJ7kDOQCcJk1yIOf\nQe4KpQLNKr+zG2UFQcDsScMwa8JQhKMKlq/Zi85QT+29ruv4YFsrduzvQG1VBZbMbSq6u5FElJ9s\nx7wVVYBcTLNw0wW8MqKxZL+3SI8vr+iLIAiY1FyLSxeOxbAaL2SXiEqHZHbcsmjZxjYA2Hs4CEkU\nMHKY37KfWY6MzZP5jnoztv75HVDzXm7MGuQCZJC7wqkg08kZ5HQzxg/FnMn1iMaTWLF2L9q7YtB1\nHRu2H8H2ve2oqfTgnLmNRVm2RUT5ybbEoije7XRdRyKpwe8tjhfp4/m9MlrbU1MA+nqjCUcVHDwa\nRl21N6OxbZU+N85f0AxN0x1TF+h2SeiMWTMtoTMUR2co1eBWrBdFTmGWWOQZIIfNGcjMIA82Scqu\nscRKxnjCqkDxvPZOGTMEkiRg7dbDWL52L5oaKrGrpRNVfjfOmduU8aQLIiotUimWWCRVHZqmw1Nk\nW/QMA02y2HWgEzqA8Y3VGf9MQRAcExwDqeZJVdMtaSQyyysaWF6RL2O5Q74lFhGOeCsYY3ZnIZr0\nzAC5SDLIholNtThj5ggkkxp2tXQi4JNx7rwmNpgSlbGSzCAb48PkIr0tFuhnkoWm6di5vxMuScTo\n4VWDfWiWMVaAxxUVvjwD932HgxBFAaOGBQb+YuqXOYIvz+AqzCUhBWM0JicLECB3huPwyFJRZl3H\njqyGSxKx52AX5kyu590PojInitndjSuKVz1jAUWx1o2Zy0L6mGRxqC2MSEzB+FHVRd1R3TMLOb83\n8WAkgfZgHCOH+tlEYwHjdyrfLYcRrpkuGDODPMglFqqqIRxRMKzWO6iPa6WmhkreiSIiACXapGds\n0SvWANLMIPcxyWLn/tS4tvGNJ2/OKwY9s5Dzu5W/9xDLK6xkBsj51iCzxKJgzBrkQW7SC0YU6HD+\nBAsiokyU5Ji3RJFnkL0eFyRROCGDHIsn0XIkhJpKT9HP+7Uqg7y/NQhBENDIANkSRpNjIs8th+Go\nAo8scalCARj/5slBHvNWbBMsiIj6I2VZYlEU73bFukXPIAgC/F75hBrk3Qe6oGk6xo+qLrr5zscz\nxonl0wwWiio41hlDwxBf0V4MOY3bghILXddTS0KYPS6IQo156yzSBj0ior6UZImFkZUs1hILIHVr\nOq6oZsOhruvY2dIBSRQwZmTm0yucymjSyydA3t89vaKZ2WPLyGaTXu7nJZ5QoWo6AmxyKgipQItC\neka8scSCiIpfSZZYFHuTHtBTh2yUWRzpiKIrnEBjQ2VRPy+Dkd1P5JGp3Hs4CAHotWqb8iOJAiRR\nyOu8GLXzPi4JKYhCrZruCicgSQL8bMwkohIgZTnmrSgCZCMrKRfpHGQgbZJFd5mF2Zw3qvizx0Ba\ngJxjrWskpuBoRxT1Q3yo4KxSS8kuKa/acHMGMjPIBWE06WX6om4FXdfRFY6jyucu+vIvIiIg+znI\nRRFxGiuMiznTmj4LOaGo2Hu4CwGvjIYhvgIfmTWMWtdcSyy4HMQ+sks0S3tyYWaQmUksCLNJbxDn\nIIdjSaiqzgkWRFQyzBrkUiqxKPYmPaB3BvmzQ11QVR3jG2tKJjuTb4nFPpZX2MYti+ZFZi6M5lKO\neCuMbDuvrWBOsCiiFdNERP0Rs2x4LoqUUEJRIXbXUhargC/1RhOKpkoJBEHA2JHFuznveLJLhIDc\nMsjReBJH2qMYVuvltisbyC4JWvca8FzWk0eiqRILnpvCMJv0BjGDXKwrpomITibbJr0iCZA1uF1S\nUWdb3S4RskvEkfYIlKSGUcMCJRVwCIIAWZZyylTuOxyEDpZX2MWY/pJIavDmECCHYwokUUCFu3jv\n4BQzVwGa9BggE1GpKckxbwlFNceIFStBEBDwymaz1PjG0mjOS+d2iTllkFl/bC93ntv0IjEFvgq5\nqC9Qi5koChAAaIM45q0rFIcAoMrHAJmISkPJNenpuo5EUivq+mNDwJt6s/F6XBg5tPRqbd2ylPUU\ni1g8ida2CIbWsLzCLsY2vVwa9ZKqhlhChZ8j3gpGEASIkjDoGWS/T86pJIeIyIlKbg5yUtWg63pJ\nBMhGk9O4kdXmiSolblmEqupZ1Urubw1BB5eD2Ek2l7hkn4E0Rrzx4qWwXKI4aDXIcUVFLKFyggUR\nlZSeOciZfb3j00Lx7jd1dxFv0TM0D69ERyiOic01hT4UW/TMQs681nVvd3lFIwNk2/SUWGSfQY50\nj3jjDOTCkiRh0KZYdIVYf0xEpafkSiyUEhjxZhha48W585pKNhvndhmj3jILxGKJJA63RTCkqsKc\nE03WM0oscmmgNBbbcAZyYUmiOGglFp3GiDcGyERUQowmPbVUSiziZoDs+EMte+4sb+W3tIag6zqb\n82xmTLFI5hAgmxlkXsAUVCqDPDglFsYEi2qWWBBRCenJIGf2Wur4qNPovC+FDHKp68lUZpZBNqZX\nNA9ngGynnjFv2ZdYhDkD2REkURy8EgtjxBuXhBBRCTFav0qmxMLIIBfzmuly4ZEzL7FIKCoOtUVQ\nW+lBJUdJ2cq4uMxlzFtPDTJLLArJJQnQND3jF/Z8dIXjqHBLfM0lopIiCAJEUUCm/c6OD5CNYEsu\ngSa9UtczLWHgALnlSAiaxvKKwWA06eUyxSIcU1DhdnHcV4EN1rppVdUQjiisPyaikiQKQumMeVMU\nllgUC4+ceTMYl4MMHleOUyx0XUckluQMZAcYrHXTXZEEdABVAdYfE1HpEUWhhEosut/UjQkJ5Fxm\nresAGWQlqeLg0TCqAx5U843Ydj2LQrILrmIJFZqms/7YAVxS97ppmzPIXDFNRKVMyiJAdnxqqCeD\n7PhYvuz11CD3HYipqoZDbRHs2t8JVdO5HGSQSKIASRKyHvMWjnIGslNI4iBlkBkgE1EJE8XMSywc\nHyCzSa94yH006SlJFQeOhLGvNYgDR8JIdr/BB7wyxo2qLshxliO3S8q6xCLc3aDnY4lFwUnS4NQg\nG0tCOOKNiEqRKAhmHDIQx7/zJRS1OwPGDLLTuV0iBADReBI793dgX2sIh4+FzTf1gFdGU0MNGusr\nMbSmAoJQeuu2nUp2iYgnsguQI90j3phBLjxXdwY50xf2XHWF45AkgYthiKgkiaIAVSmRDHIiqbJB\nr0gIggCXS0RbVwzvbzkEAKip9KCpvhKNDQHUBDwMigtEdkkIRhToup7xOQhzSYhjiFJ2K1Jzoes6\nuiIJVPn5d0pEpSmbJj3nB8iKBq+bAXKxGDeqGm2dMYyqD6CpoZIzjh3CLYvQdR2qppsNXwMxZiAz\nm1h4g5FBDseSUFWd9cdEVLKyGfPm6Hc+XdehKCqq+YJdNOZOaSj0IVAf0ieMuDIsVwrHkpAkgfX/\nDmDWIKv2ZZC7QnEA4OstEZUsSUzdidMzCJIdXdirJDXo4Axkony5cxj1Fo4q8FfIvN3uAIOxKIQT\nLIio1Indr6WZvJQ6OkA2piFwxBtRfnqWhWQWICtJDQlF5QxkhzCy/naWWPQEyJxgQUSlSewuV8uk\nDtnRkacxt5UZZKL8mOumMxz1ZtQf+1l/7Ahm1sPGDHJnKA4BQKWPF0VEVJokwcggD/xamvO73xVX\nXIFAIAAAaGpqwtKlS/HDH/4Qoihi4sSJuOeeeyAIAp555hk8/fTTcLlcWLZsGZYsWZLxY5gZZG7R\nI8qLcZGZaQaZEyycZbAyyAGfmyM1iahkZZNsyClAjsdTzRyPP/64+bGbb74Zt99+O+bPn4977rkH\nK1aswOzZs/H444/jueeeQzwexzXXXIOFCxfC7c6sxo0lFkTWMJr0lJNsOTyeOQOZAbIj2N2kF0sk\nEVdUDK3x2vLziYicoLvCIqN+jpwC5G3btiEajeJb3/oWkskkvv/972Pr1q2YP38+AGDx4sVYtWoV\nRFHEnDlzIMsyZFnG6NGj8cknn2DmzJkZPU5CYYkFkRXkLGuQzS16rEF2BLub9NigR0TlQBRsziB7\nvV5861vfwtVXX409e/bg29/+dq/P+/1+BINBhEIhVFZW9vp4KBTK+HHiZgaZATJRPuTuMiXWIBcn\ns8RCs6fEwlgxzQCZiEqZ7SUWY8aMwejRo83/X1NTg48//tj8fCgUQlVVFQKBAMLhsPnxcDiMqqqq\njB9HSbIGmcgK7mwzyFEFAgAvM8iOYGaQbapBNjLI1QFOsCCi0tUz5s2mKRbPPfcc7r//fgDA4cOH\nEQ6HsWjRIqxZswYA8NZbb2HevHmYNWsW1q1bh0QigWAwiJ07d2LixIkZP05PiQVrkInyIZtNepll\nkMOxJCo8LjMwo8IyGufsK7FI9ZUwg0xEpcz2EourrroKP/rRj3DdddcBAO677z7U1NTgpz/9KRRF\nwfjx43HxxRdDEARcf/31uPbaa6FpGm6//faMG/SAntvBLLEgyk/PJr2BM5CapiMSS2JIVYXdh0UZ\nMtaDJ21q0usKJ1DhdvG1lohKmtHwbFuA7HK58MADD5zw8fSpFoarr74aV199dS4PkzbFgi/aRPmQ\npcxLLGKJJHRdR4ATLBzDGG5vR4lFUtUQjioYVuuz/GcTETmJmMUcZEfXLsQVDZIk8DYvUZ5EUYBL\nEjMqsQh3j3jzsUHPMSRRgCAItpRYBMMJ6ACqAyyvIKLSJmYxEcjRAbKiqPAwe0xkCbcsZpRBjnBJ\niCO5JMGWDDJHvBFRuchmioWjA+S4oprjqYgoP7JLMte396dnBjIzyE4iifZkkHsCZE6wIKLSlk2T\nnmMDZE3TkUxq8HCCBZElZFcqg6wPUHsVjhozkJlBdhJJEm1p0uvkBAsiKhO2j3kbDIqqQQcb9Iis\n4naJ0HW93yAroahobYsAAHwssXAUl2hfiYVLEnnHgIhKXjZbSR0bIBsTLFhiQWQN42/pZI16sUQS\nK9btQ2c4gXGjqln/7zCiJFpeYqFpOoLhBKr8bggCm6GJqLTZvklvMBgBMt+kiawhyycf9RaJKXjj\ng/3oDMUxflQ15k8bPtiHRwMwMsi6rlsWzEZiClRNZ3kFEZWFbMa8OThATr2Jy6xBJrKEMQv5+GUh\n4aiClev2IRhJYFJzLeZOqWc20YEkSYCOVObDGHafr05OsCCiMiKlZ5AHyL86OEBmBpnISu4+1k0H\nIwmsXLcP4aiC6WPrMGviUAbHDiWJPeumJYteFrtCqQC5OsAJFkRU+rKZg+zcAJlrpoksZaybNkos\nOkNxrFy3D9F4ErMmDMWM8UMLeXg0AFf3HYCkqln2utjFCRZEVEayGfPm3AC5+zaw28USCyIrGAFy\nIqmivSuGNz7Yh1hCxZzJ9ZgyZkiBj44Gkk1zSaa6wgkIgoCAjwEyEZW+kmrSYwaZyBrG39Lhtgg+\n/PQoEoqK+dMaMLGptsBHRplwddcdWzULWdd1dIYTqPTJZl0eEVEpy2YOsuMDZJkZZCJLGE16ew8F\nIQA4Y+YIjB1ZXdiDooxJklGDbM0s5HhCRUJRUV/rteTnERE5XUmVWLBJj8gaRgZZEAQsnDUCo4dX\nFfiIKBvmgHuLMsgdoVT9cTVXTBNRmTAmABV3gNzdpCczQCayRJXfjSmjh2DEUD9GDPUX+nAoS2aT\nnkUZZCNArqlkgExE5aFE5iCrcEkia+OILCKKAuZMqS/0YVCOjMyHZRnkIANkIiovPU16GXytzceS\ns0TSulFGRETFTspifmcmOoJxSKKASk6wIKIy0TMHeeAI2bkBsqLCwy16REQAes9Bzpem6egMxVEV\n8JhvGEREpS6bJj1HRqC6rkNJapBdzCATEQFpmQ8LAuRQVIGq6ajhBj0iKiPZjHlzZICcSHKCBRFR\nOpfUs2o6Xx3BGAAwQCaismLcMCvaDLKxCldmiQUREQBrx7xxggURlSNBECCKAjK5EefICDSZ5BY9\nIqJ0kmjdohBOsCCiciWJAkssiIhKhZWrpjuCcVS4JVS4+RpLROVFFITiLbEwtuhxzTQRUYq5ajrP\nJj0lqSIUVVBT6YEgcIIFEZUXUSziAFnpLrFgBpmIKMWqOcidoQQAoJoNekRUhlI1yEUbILNJj4go\nnVWb9Mz6YwbIRFSGirrEQmENMhFRL+aikDyb9DjBgojKmVjcTXqcYkFElM6qMW8dwRgEsMSCiMpT\ncdcgs0mPiKgXQRAgiUJeY950XUd7MI5Kv9vMSBMRlRNRKOIMslFi4eaqaSIikygKeY15i8aTUJIa\ns8dEVLak7gyyPkCQ7MwAWVUhu0RzZzYREaXqkPPJIHNBCBGVOyO2HCjV4MgAOaHorD8mIjqOJAl5\n1SC3c4IFEZU5I0AeKNfgyABZSaoMkImIjiOJYl5zkI0JFrXMIBNRmZIEY6Z8/xGyIwNkVdXgZoMe\nEVEvLknIa5NeRzAOlyTC75UtPCoiouJhllgMkGxwbBTKDDIRUW9GBnmg5pK+qJqOrnCCK6aJqKyJ\n3ZHvQDfjnBsgM4NMRNSLuU0vhzKLrnAcuq6z/piIyprYnSAYaNSbY6NQZpCJiHpzdac+kjmUWXCC\nBRFRepMeA2QiopJgZpBzmGTRwQkWRESQuhMNRTkHGQDcsmMPjYioIMx10zmUWBgTLKqZQSaiMmbW\nIDODTERUGqTu9dC5TLLoCMbhq5Dh4WsrEZUxo8RioBtxzg2QuWaaiKgXI4Oc7brpWCKJaDyJmoDb\njsMiIioaZpNe8WaQHXtoREQF4TIyyFmum+4MJQCwQY+IyJyDXKw1yLwNSETUW65j3jqCMQBATWWF\n5cdERFRMin6KhcwAmYioF7NJL8saZE6wICJKKf4SCy4KISLqxWzSyzaDHIpDFAVU+lmDTETlzcwg\nowgDZJdL5CpUIqLjGDXI2SwK0XUdHaE4qv1uMwNNRFSupGIuseAECyKiE+UyBzkUVaCqOqpZXkFE\nVNw1yDLLK4iITpDLJj2umCYi6tFTgzzA1w3CsWSNI96IiE5krEjNpsSCATIRUQ+zxKIYx7zJLLEg\nIjqBK4cxb5xgQUTUQyzuANmRh0VEVFBGBjmbMW/toRg8sgSvx2XXYRERFY2iHvPGAJmI6ERGDXKm\nq6aVpIZwREF1wMPJQEREKPImPU6xICI6UabjiQxd4Th0sP6YiMggFfOqaWaQiYhOlO0c5HY26BER\n9cIaZCKiEpPtHGSjQa+WATIREYAiL7GQZZZYEBEdTxQFiKKAzlAc0XhywK/vCMYhAKjyM0AmIgKK\nfQ4yM8hERCcQBAHTx9YhGk/ijQ/2Ia6oJ/1aY8W03yfzrhwRUbciL7FgBpmIqC8zxtdhUnMtOoJx\n/O2D/VCSfadBovEkEoqK2kDFIB8hEZFzFXeJBbMdRER9EgQBc6fUY+zIKhzrjOLtjfv7nIvcEWKD\nHhHR8cwSi2LMIBvbooiI6ESCIOC06SPQWB/AoWMRrProwAnZEK6YJiI6kVjMY9440J6IqH+iKGDR\nrJEYXufD/tYQ3t9ysNcLPgNkIqITiQIgoEhLLIiIaGCSJOKsUxpRV+3F7gNd+GBbqxkkd4TikCQB\nAa9c4KMkInIOQUhNAxponDwDZCKiIia7RCyZ24iaSg+2723HRzuOQtV0dIUTqOGKaSKiE4iiUJw1\nyERElDmPLOGcuU0I+GRs2XUMa7cegqbpqAmwvIKI6HiiIEBniQURUenzelw4d14zfBUu7GrpBMD6\nYyKivoiiAJUZZCKi8hDwyjhnbhMq3KlZ8jWVnIFMRHQ8URQG3KTnGpxDISKiwVAd8OC8+c3Y3xrC\nsBpvoQ+HiMhxMimxYIBMRFRiqgMeVLP+mIioT6IoQANLLIiIiIiIAACSKHAOMhERERGRgWPeiIiI\niIjScMwbEREREVEaURx4gRIDZCIiIiIqGwyQiYiIiIjSSAIDZCIiIiIiEzPIRERERERpxAyiXwbI\nRERERFQ2pAwiZAbIRERERFQ2WGJBRERERJRGZJMeEREREVEP1iATEREREaVhiQURERERURqWWBAR\nERERpWEGmYiIiIgoDQNkIiIiIqI0EgNkIiIiIqIerEEmIiIiIkrDEgsiIiIiojQMkImIiIiI0rDE\ngoiIiIgoDZv0iIiIiIjSsMSCiIiIiCgNSyyIiIiIiNJIEgNkIiIiIiITM8hERERERGlYg0xERERE\nlIYBMhERERFRGpZYEBERERGlYQaZiIiIiCgNA2QiIiIiojTcpEdERERElIY1yEREREREaTKIjxkg\nExEREVH5EARhwDpkBshEREREVFYYIBMRERERpRmoDpkBMhERERGVFYEBMhERERFRD5ZYEBERERGl\nGWgWMgNkIiIiIior4gARMANkIiIiIiorAphBJiIiIiIysQaZiIiIiCgNx7wREREREaVhBpmIiIiI\nKI3AAJmIiIiIqIfEJj0iIiIioh6ixACZiIiIiMg0QI8eA2QiIiIiKi/cpEdERERElIZj3oiIiIiI\n0jBAJiIiIiJKIwwQATNAJiIiIqKywkUhRERERERpWGJBRERERJSmvtbb7+cZIBMRERFRWamprOj3\n8wyQiYiIiIjSMEAmIiIiIkrDAJmIiIiIKA0DZCIiIiKiNAyQiYiIiIjSMEAmIiIiIkrDAJmIiIiI\nKA0DZCIiIiKiNAyQiYiIiIjSMEAmIiIiIkrDAJmIiIiIKA0DZCIiIiKiNAyQiYiIiIjSMEAmIiIi\nIkrDAJmIiIiIKA0DZCIiIiKiNAyQiYiIiIjSMEAmIiIiIkrDAJmIiIiIKA0DZCIiIiKiNAyQiYiI\niIjSMEAmIiIiIkrDAJmIiIiIKA0DZCIiIiKiNAyQiYiIiIjSMEAmIiIiIkrDAJmIiIiIKA0DZCIi\nIiKiNAyQiYiIiIjSMEAmIiIiIkrDAJmIiIiIKA0DZCIiIiKiNAyQiYiIiIjSMEAmIiIiIkrDAJmI\niIiIKI3L7gfQNA333nsvtm/fDlmW8Ytf/ALNzc12PywRERERUU5szyAvX74ciqLgqaeewh133IH7\n77/f7ockIiIiIsqZ7QHy+vXrcdZZZwEAZs+ejc2bN9v9kEREREREObO9xCIUCiEQCJj/LUkSNE2D\nKJ4Ym6uqCgA4dOiQ3YdFRERERGXKiDWN2PN4tgfIgUAA4XDY/O+TBccAcOTIEQDAddddZ/dhERER\nEVGZO3LkCEaPHn3Cx20PkOfMmYM33ngDl1xyCTZu3IjJkyef9GtnzJiBJ598EsOGDYMkSXYfGhER\nERGVIVVVceTIEcyYMaPPzwu6rut2HoCu67j33nvxySefAADuu+8+jB071s6HJCIiIiLKme0BMhER\nERFRMeGiECIiIiKiNAyQiYiIiIjSMEAmIiIiIkpj+xSLcqEoCn784x/jwIEDSCQSWLZsGcaPH48f\n/vCHEEUREydOxD333ANBEPDMM8/g6aefhsvlwrJly7BkyRLouo7FixdjzJgxAIBTTz0Vt99+e2Gf\nVJnJ9xw+/PDDePvttwEAXV1dOHbsGN55550CP6vyku857OzsxF133YWuri54vV787Gc/w8iRIwv9\ntMpONucRANra2nDNNdfgxRdfhNvtBgB89tlnuOWWW/Diiy8W8qmUpXzPXyQSwQ9+8AMEg0HIsoz7\n778fDQ0NBX5W5SXfc1gSMY1Olnj22Wf1X/7yl7qu63pHR4d+9tln6zfffLO+Zs0aXdd1/R/+4R/0\n119/XW9tbdUvu+wyPZFI6MFg0Pz/e/bs0ZcuXVrIp1D28jmH8Xi8189aunSpvmrVqkF/DuUu33N4\n//336w899JCu67q+evVqfdmyZQV7LuUs0/Oo67r+1ltv6V/84hf1uXPnmn+Hzz//vH7llVfqixYt\nKswTKHP5nr9HHnlEf/DBB3Vd1/XnnntO//nPf16AZ1He8j2HpRDTsMTCIhdffDFuu+02AKllKC6X\nC1u3bsX8+fMBAIsXL8bq1auxadMmzJkzB7IsIxAIYPTo0di2bRu2bNmC1tZWXH/99bjpppuwe/fu\nQj6dspTPOTTGGALAa6+9hurqaixcuLAgz6Oc5XsOd+7cibPOOgtAKuOxdu3agj2XcpbpeQRS21kf\neeQRVFVVmd9fU1ODJ554YvAPnADkf/5uuOEG3HzzzQCAlpYWVFdXD/IzoHzPYSnENAyQLeLz+eD3\n+xEKhfDd734X3/ve96Bpmvl5v9+PYDCIUCiEysrKXh8PhUKor6/H0qVL8dhjj2Hp0qW48847C/E0\nylq+59Dw8MMP45ZbbhnUY6eUfM/h1KlTsWLFCgDAypUrEY1GB/050MDn0efzIRgMAgAWLlyImpqa\nXt+/ZMkSeL3eQT1m6pHv+QMAURRxww034Pe//z3OP//8QTt2Ssn3HJZCTMMA2UIHDx7EDTfcgMsv\nvxyXXXZZr5XaoVAIVVVVJ6zeDofDqKqqwowZM3DuuecCAObOnYvW1tZBP37K7xwCwI4dO1BVVYWm\npqZBP3ZKyecc3nTTTWhpacHXvvY1tLS0YMSIEYV4CoT+z2P63xyVll87AAABpklEQVQ5kxXn79FH\nH8UTTzyBW2+91c5DpZPI5xyWQkzDANkiR48exY033og777wTV155JQBg6tSpWLNmDQDgrbfewrx5\n8zBr1iysW7cOiUQCwWAQO3fuxMSJE/Hggw/i0UcfBQBs27aNjUEFkO85BIDVq1dj8eLFBXsO5S7f\nc7h27Vp8+ctfxhNPPIHm5mbMmzevkE+nbGV6HsmZ8j1/Dz30EP70pz8BSGUqJUmy/6Cpl3zPYSnE\nNJxiYZHf/e53CAaDePDBB/Hggw8CAO6++2784he/gKIoGD9+PC6++GIIgoDrr78e1157LTRNw+23\n3w63242bbroJd955J9588024XC7cd999BX5G5SffcwgAe/bswaJFiwr5NMpavudw3LhxuOuuu6Dr\nOmpqavDLX/6ywM+oPGV6HtMZ3fRUePmev6uuugp33XUXnn32WWiaxvfDAsj3HJZCTMNV00RERERE\naVhiQURERESUhgEyEREREVEaBshERERERGkYIBMRERERpWGATERERESUhgEyEREREVEaBshERERE\nRGkYIBMRERERpfn/NJweH674+Q0AAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10eab0320>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"mc = ufo_times.resample('2M', how='sum')\n",
"ax = mc.plot(alpha=.5)\n",
"pd.rolling_mean(mc, window=8).plot(ax=ax)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* This mean fits it quite well, there are some bumps etc but ther seems to be some increasing trend. \n",
"* **Increasing trend** is quite vague, so we'll need to do more analysis. But while it is unlikely that there are UFO's \n",
"* It seems likely that there are increased sightings in the last few years.\n",
"* We'll probably not be able to completely explain that trend. But we can at least do some analysis and hypothesis testing"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Tidy Data\n",
"\n",
"> Structuring datasets to facilitate analysis [(Wickham 2014)](http://www.jstatsoft.org/v59/i10/paper)\n",
"\n",
"If there's one maxim I can impart it's that your tools shouldn't get in the way of your analysis. Your problem is already difficult enough, don't let the data or your tools make it any harder.\n",
"\n",
"## The Rules\n",
"\n",
"In a tidy dataset...\n",
"\n",
"1. Each variable forms a column\n",
"2. Each observation forms a row\n",
"3. Each type of observational unit forms a table\n",
"\n",
"\n",
"Note: Make sure you edit the next cell :) "
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"stk_list=['CA', 'FL']\n",
"tidy = df[df['state_value'].isin(stk_list)]"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/peadarcoyle/anaconda/lib/python3.4/site-packages/ipykernel/__main__.py:1: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
" if __name__ == '__main__':\n",
"/Users/peadarcoyle/anaconda/lib/python3.4/site-packages/ipykernel/__main__.py:3: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
" app.launch_new_instance()\n"
]
}
],
"source": [
"tidy['hour'] = tidy.datetime.dt.hour\n",
"times=['18', '19', '20', '21', '22', '23', '0', '1', '2', '3', '4', '5', '6']\n",
"tidy['afterwork'] = tidy.datetime.dt.hour.isin(times)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### What is the most common shape_value?\n",
"Lets make a plot "
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/peadarcoyle/anaconda/lib/python3.4/site-packages/pandas/core/generic.py:2273: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
" self[name] = value\n"
]
},
{
"data": {
"image/png": 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JbgAAKEhwAwBAQYIbAAAKEtwAAFCQ4AYAgIIENwAAFCS4AQCgIMENAAAFCW4AAChIcAMA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\nCIIgCD3o34+44/tw8M5SAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10e4951d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"tidy.city_value = tidy.city_value.astype('category')\n",
"sns.countplot(x=\"shape_value\", data=tidy, palette=\"Greens_d\");"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Some counting"
]
},
{
"cell_type": "code",
"execution_count": 36,
"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>datetime</th>\n",
" <th>shape_value</th>\n",
" <th>city_value</th>\n",
" <th>state_value</th>\n",
" <th>summary_description</th>\n",
" <th>duration_value_clean</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2015-10-09 08:56:00</td>\n",
" <td>Disk</td>\n",
" <td>Albuquerque</td>\n",
" <td>NM</td>\n",
" <td>Disk-shaped object above hot air balloons. ((N...</td>\n",
" <td>1 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2015-10-09 07:07:00</td>\n",
" <td>Triangle</td>\n",
" <td>Puget Sound (bet Seattle/Bainbridge Island)</td>\n",
" <td>WA</td>\n",
" <td>Cloaked aircraft (military?) over Puget Sound ...</td>\n",
" <td>5 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2015-10-09 06:40:00</td>\n",
" <td>Disk</td>\n",
" <td>Pacoima</td>\n",
" <td>CA</td>\n",
" <td>Seen by a cousin of my employee... cannot veri...</td>\n",
" <td>3 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2015-10-09 00:00:00</td>\n",
" <td>Disk</td>\n",
" <td>Stroud (UK/England)</td>\n",
" <td>NaN</td>\n",
" <td>Massive spaceship appeared from nowhere in sky...</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2015-10-08 23:55:00</td>\n",
" <td>Rectangle</td>\n",
" <td>Exeter</td>\n",
" <td>PA</td>\n",
" <td>Large Bright green rectangular light moves nor...</td>\n",
" <td>1 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>2015-10-08 23:15:00</td>\n",
" <td>Light</td>\n",
" <td>Nampa</td>\n",
" <td>ID</td>\n",
" <td>The objects moved across night sky lights on t...</td>\n",
" <td>15 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2015-10-08 23:00:00</td>\n",
" <td>Triangle</td>\n",
" <td>Martinez</td>\n",
" <td>CA</td>\n",
" <td>Black triangular UFO over Martinez, CA.</td>\n",
" <td>1-2 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>2015-10-08 23:00:00</td>\n",
" <td>Unknown</td>\n",
" <td>Fayetteville</td>\n",
" <td>AR</td>\n",
" <td>Four blinking lights over Fayetteville.</td>\n",
" <td>5 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>2015-10-08 22:00:00</td>\n",
" <td>Cylinder</td>\n",
" <td>((Unspecified by witness))</td>\n",
" <td>NaN</td>\n",
" <td>I saw a bright green cylinder shape craft with...</td>\n",
" <td>40 seconds</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>2015-10-08 22:00:00</td>\n",
" <td>Triangle</td>\n",
" <td>Clinton</td>\n",
" <td>MT</td>\n",
" <td>Large black triangle with dull orange lights.</td>\n",
" <td>30 seconds</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>2015-10-08 21:30:00</td>\n",
" <td>Circle</td>\n",
" <td>Stafford</td>\n",
" <td>VA</td>\n",
" <td>Large, white, unmoving object above tree line.</td>\n",
" <td>60 seconds</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>2015-10-08 21:00:00</td>\n",
" <td>Flash</td>\n",
" <td>Rahim Yar Khan (Pakistan)</td>\n",
" <td>NaN</td>\n",
" <td>Just see moving light on sky. Coming from surf...</td>\n",
" <td>30 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>2015-10-08 10:05:00</td>\n",
" <td>Teardrop</td>\n",
" <td>Fresno</td>\n",
" <td>CA</td>\n",
" <td>20 to 30 black objects hovering in sky.</td>\n",
" <td>20 seconds</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>2015-10-08 10:05:00</td>\n",
" <td>Teardrop</td>\n",
" <td>Fresno</td>\n",
" <td>CA</td>\n",
" <td>Mass sighting of 30-40 black objects over Fres...</td>\n",
" <td>20 seconds</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>2015-10-08 06:00:00</td>\n",
" <td>Changing</td>\n",
" <td>Corpus Christi</td>\n",
" <td>TX</td>\n",
" <td>Taking pictures of the moon when I saw the obj...</td>\n",
" <td>30 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64752</th>\n",
" <td>2004-01-02 11:45:00</td>\n",
" <td>Triangle</td>\n",
" <td>El Segundo</td>\n",
" <td>CA</td>\n",
" <td>Bright shiny triangular object droped from the...</td>\n",
" <td>5 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64753</th>\n",
" <td>2004-01-02 11:45:00</td>\n",
" <td>Triangle</td>\n",
" <td>Long Beach/Lakewood City Limt</td>\n",
" <td>CA</td>\n",
" <td>I also seen the shiny bright triangle!</td>\n",
" <td>lights</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64754</th>\n",
" <td>2004-01-02 07:35:00</td>\n",
" <td>Circle</td>\n",
" <td>Wailea</td>\n",
" <td>HI</td>\n",
" <td>A Bright Orange Pulsating Orb</td>\n",
" <td>30 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64755</th>\n",
" <td>2004-01-01 22:00:00</td>\n",
" <td>Triangle</td>\n",
" <td>Kosovo</td>\n",
" <td>NaN</td>\n",
" <td>Massive silent black triangle over Kosovo</td>\n",
" <td>2min</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64756</th>\n",
" <td>2004-01-01 18:00:00</td>\n",
" <td>NaN</td>\n",
" <td>Beatty (near)</td>\n",
" <td>OR</td>\n",
" <td>Unusual object.</td>\n",
" <td>Aircraft activities over</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64757</th>\n",
" <td>2004-01-01 17:41:00</td>\n",
" <td>Changing</td>\n",
" <td>Multiple</td>\n",
" <td>NH</td>\n",
" <td>Three possible communicating ufos above highwa...</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64758</th>\n",
" <td>2004-01-01 17:38:00</td>\n",
" <td>Flash</td>\n",
" <td>Longview</td>\n",
" <td>WA</td>\n",
" <td>Entire sky lit up with two seperate flashes ne...</td>\n",
" <td>4 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64759</th>\n",
" <td>2004-01-01 17:30:00</td>\n",
" <td>Changing</td>\n",
" <td>Atlanta</td>\n",
" <td>GA</td>\n",
" <td>The black object changed from a rectangle to a...</td>\n",
" <td>1 hour</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64760</th>\n",
" <td>2004-01-01 15:30:00</td>\n",
" <td>Disk</td>\n",
" <td>Flowery Branch</td>\n",
" <td>GA</td>\n",
" <td>HBCCUFO CANADIAN REPORT: Disk shaped object.</td>\n",
" <td>10 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64761</th>\n",
" <td>2004-01-01 12:30:00</td>\n",
" <td>Light</td>\n",
" <td>Bakersville</td>\n",
" <td>NC</td>\n",
" <td>I walked into the woods alone!</td>\n",
" <td>2 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64762</th>\n",
" <td>2004-01-01 12:00:00</td>\n",
" <td>Fireball</td>\n",
" <td>London (UK/England)</td>\n",
" <td>NaN</td>\n",
" <td>a bright light. It was hitting me it wouldnt s...</td>\n",
" <td>1-3 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64763</th>\n",
" <td>2004-01-01 11:30:00</td>\n",
" <td>Changing</td>\n",
" <td>Saint-Louis (Canada)</td>\n",
" <td>NB</td>\n",
" <td>three dots making circles around themselves</td>\n",
" <td>20-30min</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64764</th>\n",
" <td>2004-01-01 10:45:00</td>\n",
" <td>Triangle</td>\n",
" <td>Tampa</td>\n",
" <td>FL</td>\n",
" <td>prior to the football game between Iowa&amp;Florid...</td>\n",
" <td>15 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64765</th>\n",
" <td>2004-01-01 02:30:00</td>\n",
" <td>Triangle</td>\n",
" <td>Belleville</td>\n",
" <td>IL</td>\n",
" <td>Irritating sounds from a low flying object</td>\n",
" <td>1-3 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64766</th>\n",
" <td>2004-01-01 02:00:00</td>\n",
" <td>Formation</td>\n",
" <td>Boston</td>\n",
" <td>MA</td>\n",
" <td>Two amber lights just above the city skyline a...</td>\n",
" <td>5 seconds</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>64767 rows × 6 columns</p>\n",
"</div>"
],
"text/plain": [
" datetime shape_value \\\n",
"0 2015-10-09 08:56:00 Disk \n",
"1 2015-10-09 07:07:00 Triangle \n",
"2 2015-10-09 06:40:00 Disk \n",
"3 2015-10-09 00:00:00 Disk \n",
"4 2015-10-08 23:55:00 Rectangle \n",
"5 2015-10-08 23:15:00 Light \n",
"6 2015-10-08 23:00:00 Triangle \n",
"7 2015-10-08 23:00:00 Unknown \n",
"8 2015-10-08 22:00:00 Cylinder \n",
"9 2015-10-08 22:00:00 Triangle \n",
"10 2015-10-08 21:30:00 Circle \n",
"11 2015-10-08 21:00:00 Flash \n",
"12 2015-10-08 10:05:00 Teardrop \n",
"13 2015-10-08 10:05:00 Teardrop \n",
"14 2015-10-08 06:00:00 Changing \n",
"... ... ... \n",
"64752 2004-01-02 11:45:00 Triangle \n",
"64753 2004-01-02 11:45:00 Triangle \n",
"64754 2004-01-02 07:35:00 Circle \n",
"64755 2004-01-01 22:00:00 Triangle \n",
"64756 2004-01-01 18:00:00 NaN \n",
"64757 2004-01-01 17:41:00 Changing \n",
"64758 2004-01-01 17:38:00 Flash \n",
"64759 2004-01-01 17:30:00 Changing \n",
"64760 2004-01-01 15:30:00 Disk \n",
"64761 2004-01-01 12:30:00 Light \n",
"64762 2004-01-01 12:00:00 Fireball \n",
"64763 2004-01-01 11:30:00 Changing \n",
"64764 2004-01-01 10:45:00 Triangle \n",
"64765 2004-01-01 02:30:00 Triangle \n",
"64766 2004-01-01 02:00:00 Formation \n",
"\n",
" city_value state_value \\\n",
"0 Albuquerque NM \n",
"1 Puget Sound (bet Seattle/Bainbridge Island) WA \n",
"2 Pacoima CA \n",
"3 Stroud (UK/England) NaN \n",
"4 Exeter PA \n",
"5 Nampa ID \n",
"6 Martinez CA \n",
"7 Fayetteville AR \n",
"8 ((Unspecified by witness)) NaN \n",
"9 Clinton MT \n",
"10 Stafford VA \n",
"11 Rahim Yar Khan (Pakistan) NaN \n",
"12 Fresno CA \n",
"13 Fresno CA \n",
"14 Corpus Christi TX \n",
"... ... ... \n",
"64752 El Segundo CA \n",
"64753 Long Beach/Lakewood City Limt CA \n",
"64754 Wailea HI \n",
"64755 Kosovo NaN \n",
"64756 Beatty (near) OR \n",
"64757 Multiple NH \n",
"64758 Longview WA \n",
"64759 Atlanta GA \n",
"64760 Flowery Branch GA \n",
"64761 Bakersville NC \n",
"64762 London (UK/England) NaN \n",
"64763 Saint-Louis (Canada) NB \n",
"64764 Tampa FL \n",
"64765 Belleville IL \n",
"64766 Boston MA \n",
"\n",
" summary_description \\\n",
"0 Disk-shaped object above hot air balloons. ((N... \n",
"1 Cloaked aircraft (military?) over Puget Sound ... \n",
"2 Seen by a cousin of my employee... cannot veri... \n",
"3 Massive spaceship appeared from nowhere in sky... \n",
"4 Large Bright green rectangular light moves nor... \n",
"5 The objects moved across night sky lights on t... \n",
"6 Black triangular UFO over Martinez, CA. \n",
"7 Four blinking lights over Fayetteville. \n",
"8 I saw a bright green cylinder shape craft with... \n",
"9 Large black triangle with dull orange lights. \n",
"10 Large, white, unmoving object above tree line. \n",
"11 Just see moving light on sky. Coming from surf... \n",
"12 20 to 30 black objects hovering in sky. \n",
"13 Mass sighting of 30-40 black objects over Fres... \n",
"14 Taking pictures of the moon when I saw the obj... \n",
"... ... \n",
"64752 Bright shiny triangular object droped from the... \n",
"64753 I also seen the shiny bright triangle! \n",
"64754 A Bright Orange Pulsating Orb \n",
"64755 Massive silent black triangle over Kosovo \n",
"64756 Unusual object. \n",
"64757 Three possible communicating ufos above highwa... \n",
"64758 Entire sky lit up with two seperate flashes ne... \n",
"64759 The black object changed from a rectangle to a... \n",
"64760 HBCCUFO CANADIAN REPORT: Disk shaped object. \n",
"64761 I walked into the woods alone! \n",
"64762 a bright light. It was hitting me it wouldnt s... \n",
"64763 three dots making circles around themselves \n",
"64764 prior to the football game between Iowa&Florid... \n",
"64765 Irritating sounds from a low flying object \n",
"64766 Two amber lights just above the city skyline a... \n",
"\n",
" duration_value_clean \n",
"0 1 minutes \n",
"1 5 minutes \n",
"2 3 minutes \n",
"3 10 \n",
"4 1 minutes \n",
"5 15 minutes \n",
"6 1-2 minutes \n",
"7 5 minutes \n",
"8 40 seconds \n",
"9 30 seconds \n",
"10 60 seconds \n",
"11 30 minutes \n",
"12 20 seconds \n",
"13 20 seconds \n",
"14 30 minutes \n",
"... ... \n",
"64752 5 minutes \n",
"64753 lights \n",
"64754 30 minutes \n",
"64755 2min \n",
"64756 Aircraft activities over \n",
"64757 NaN \n",
"64758 4 minutes \n",
"64759 1 hour \n",
"64760 10 minutes \n",
"64761 2 minutes \n",
"64762 1-3 minutes \n",
"64763 20-30min \n",
"64764 15 minutes \n",
"64765 1-3 minutes \n",
"64766 5 seconds \n",
"\n",
"[64767 rows x 6 columns]"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"df = df.reset_index()"
]
},
{
"cell_type": "code",
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{
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" <th>VA</th>\n",
" <th>VT</th>\n",
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" <th>WI</th>\n",
" <th>WV</th>\n",
" <th>WY</th>\n",
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],
"text/plain": [
"state_value AB AK AL AR AZ BC CA CO CT DC ... TN TX UT \\\n",
"datetime ... \n",
"2004-01-01 02:00:00 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2004-01-01 02:30:00 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2004-01-01 10:45:00 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2004-01-01 11:30:00 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2004-01-01 12:00:00 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"\n",
"state_value VA VT WA WI WV WY YT \n",
"datetime \n",
"2004-01-01 02:00:00 0 0 0 0 0 0 0 \n",
"2004-01-01 02:30:00 0 0 0 0 0 0 0 \n",
"2004-01-01 10:45:00 0 0 0 0 0 0 0 \n",
"2004-01-01 11:30:00 0 0 0 0 0 0 0 \n",
"2004-01-01 12:00:00 0 0 0 0 0 0 0 \n",
"\n",
"[5 rows x 65 columns]"
]
},
"execution_count": 38,
"metadata": {},
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}
],
"source": [
"# Count trips by date\n",
"by_date = df.pivot_table('index', aggfunc='count',\n",
" index='datetime',\n",
" columns='state_value', ).fillna(0)\n",
"by_date.head()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"FL: 11 CA: 6\n"
]
}
],
"source": [
"# Florida was the second most 'popular' place for UFO's in this data set\n",
"print(\"FL:\", by_date.columns.get_loc(\"FL\"), \"CA:\", by_date.columns.get_loc(\"CA\"))\n"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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PbAIAWhifk828vDwNHTpUqampRsYDAEBEyTrjaNlsE+RIAACu0NfEf3xKNi0Wi6ZMmaI2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\nCNDj4U0K9UuDJo8Z7/rRBoQ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JhsYIAEC4iAl2AAAAhIqm3kf37bffymazNfqb3bt366c/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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10fe4b6d8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(2, figsize=(16, 8))\n",
"fig.subplots_adjust(hspace=0.4)\n",
"by_date.iloc[:, 6].plot(ax=ax[0], title='California UFOs');\n",
"by_date.iloc[:, 11].plot(ax=ax[1], title='Florida UFOs');"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": false
},
"source": [
"Now we see some sort of underlying noise.\n",
"* My first hypothesis is that this number of sightings is extremely unlikely because UFO's if they do occur are probably very rare events. \n",
"* So the underlying hypothesis is that the 'underlying noise' is in fact the sightings of normal identified flying objects such as military planes and such."
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": false
},
"source": [
"Let us look a bit at if there are any weekday effects. \n",
"We'll restrict this to looking at California and Florida for the moment"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"by_date_cal_fl = by_date.iloc[:, [6,11]]"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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XjxVoYGAgjh49CgC4cOECRowYccsNTpw4EYmJiQCAyspKtLa2wsXFRQ9RqS84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\niNgthVYRERERERGxW/8H7A+Md6PiqWAAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x11311ea90>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"by_weekday = by_date_cal_fl.groupby([by_date.index.year,\n",
" by_date.index.dayofweek]).mean()\n",
"by_weekday.columns.name = None # remove label for plot\n",
"fig, ax = plt.subplots(1, 2, figsize=(16, 6), sharey=True)\n",
"by_weekday.loc[2014].plot(title='Average UFO Sighting by Day of Week (2014)', ax=ax[0]);\n",
"by_weekday.loc[2015].plot(title='Average UFO Sighting by Day of Week (2015)', ax=ax[1]);\n",
"for axi in ax:\n",
" axi.set_xticklabels(['Mon', 'Tues', 'Wed', 'Thurs', 'Fri', 'Sat', 'Sun'])"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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F0L59e/bs2UNKSgrp6ens3LlTPe/qVR4/fszgwYPp1KkTXl5eLxSsT548ITU1lYoVK+a6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"text/plain": [
"<matplotlib.figure.Figure at 0x112c61588>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"by_weekday.columns.name = None # remove label for plot\n",
"fig, ax = plt.subplots(1, 2, figsize=(16, 6), sharey=True)\n",
"by_weekday.loc[2012].plot(title='Average UFO Sighting by Day of Week (2012)', ax=ax[0]);\n",
"by_weekday.loc[2012].plot(title='Average UFO Sighting by Day of Week (2013)', ax=ax[1]);\n",
"for axi in ax:\n",
" axi.set_xticklabels(['Mon', 'Tues', 'Wed', 'Thurs', 'Fri', 'Sat', 'Sun'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We see very similar trends here year on year from 2012 to 2013.\n",
"California looks to have the same trend to me, as does Florida. \n",
"It's a very different trend in California to the previous year. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A natural question that emerges is 'are there weekday and weekend effects'?\n",
"\n",
"I'll do a bit of wrangling (liberally stolen from blog posts by Jake van der plas :) \n",
"To get this weekday versus non-weekday effect. "
]
},
{
"cell_type": "code",
"execution_count": 44,
"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>ufo_id</th>\n",
" <th>datetime</th>\n",
" <th>shape_value</th>\n",
" <th>city_value</th>\n",
" <th>state_value</th>\n",
" <th>summary_description</th>\n",
" <th>duration_value_clean</th>\n",
" <th>date</th>\n",
" <th>hour</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>2015-10-09 08:56:00</td>\n",
" <td>Disk</td>\n",
" <td>Albuquerque</td>\n",
" <td>NM</td>\n",
" <td>Disk-shaped object above hot air balloons. ((N...</td>\n",
" <td>1 minutes</td>\n",
" <td>2015-10-09</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>2015-10-09 07:07:00</td>\n",
" <td>Triangle</td>\n",
" <td>Puget Sound (bet Seattle/Bainbridge Island)</td>\n",
" <td>WA</td>\n",
" <td>Cloaked aircraft (military?) over Puget Sound ...</td>\n",
" <td>5 minutes</td>\n",
" <td>2015-10-09</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2</td>\n",
" <td>2015-10-09 06:40:00</td>\n",
" <td>Disk</td>\n",
" <td>Pacoima</td>\n",
" <td>CA</td>\n",
" <td>Seen by a cousin of my employee... cannot veri...</td>\n",
" <td>3 minutes</td>\n",
" <td>2015-10-09</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>3</td>\n",
" <td>2015-10-09 00:00:00</td>\n",
" <td>Disk</td>\n",
" <td>Stroud (UK/England)</td>\n",
" <td>NaN</td>\n",
" <td>Massive spaceship appeared from nowhere in sky...</td>\n",
" <td>10</td>\n",
" <td>2015-10-09</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>4</td>\n",
" <td>2015-10-08 23:55:00</td>\n",
" <td>Rectangle</td>\n",
" <td>Exeter</td>\n",
" <td>PA</td>\n",
" <td>Large Bright green rectangular light moves nor...</td>\n",
" <td>1 minutes</td>\n",
" <td>2015-10-08</td>\n",
" <td>23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>5</td>\n",
" <td>2015-10-08 23:15:00</td>\n",
" <td>Light</td>\n",
" <td>Nampa</td>\n",
" <td>ID</td>\n",
" <td>The objects moved across night sky lights on t...</td>\n",
" <td>15 minutes</td>\n",
" <td>2015-10-08</td>\n",
" <td>23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>6</td>\n",
" <td>2015-10-08 23:00:00</td>\n",
" <td>Triangle</td>\n",
" <td>Martinez</td>\n",
" <td>CA</td>\n",
" <td>Black triangular UFO over Martinez, CA.</td>\n",
" <td>1-2 minutes</td>\n",
" <td>2015-10-08</td>\n",
" <td>23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>7</td>\n",
" <td>2015-10-08 23:00:00</td>\n",
" <td>Unknown</td>\n",
" <td>Fayetteville</td>\n",
" <td>AR</td>\n",
" <td>Four blinking lights over Fayetteville.</td>\n",
" <td>5 minutes</td>\n",
" <td>2015-10-08</td>\n",
" <td>23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>8</td>\n",
" <td>2015-10-08 22:00:00</td>\n",
" <td>Cylinder</td>\n",
" <td>((Unspecified by witness))</td>\n",
" <td>NaN</td>\n",
" <td>I saw a bright green cylinder shape craft with...</td>\n",
" <td>40 seconds</td>\n",
" <td>2015-10-08</td>\n",
" <td>22</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>9</td>\n",
" <td>2015-10-08 22:00:00</td>\n",
" <td>Triangle</td>\n",
" <td>Clinton</td>\n",
" <td>MT</td>\n",
" <td>Large black triangle with dull orange lights.</td>\n",
" <td>30 seconds</td>\n",
" <td>2015-10-08</td>\n",
" <td>22</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>10</td>\n",
" <td>2015-10-08 21:30:00</td>\n",
" <td>Circle</td>\n",
" <td>Stafford</td>\n",
" <td>VA</td>\n",
" <td>Large, white, unmoving object above tree line.</td>\n",
" <td>60 seconds</td>\n",
" <td>2015-10-08</td>\n",
" <td>21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>11</td>\n",
" <td>2015-10-08 21:00:00</td>\n",
" <td>Flash</td>\n",
" <td>Rahim Yar Khan (Pakistan)</td>\n",
" <td>NaN</td>\n",
" <td>Just see moving light on sky. Coming from surf...</td>\n",
" <td>30 minutes</td>\n",
" <td>2015-10-08</td>\n",
" <td>21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>12</td>\n",
" <td>2015-10-08 10:05:00</td>\n",
" <td>Teardrop</td>\n",
" <td>Fresno</td>\n",
" <td>CA</td>\n",
" <td>20 to 30 black objects hovering in sky.</td>\n",
" <td>20 seconds</td>\n",
" <td>2015-10-08</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>13</td>\n",
" <td>2015-10-08 10:05:00</td>\n",
" <td>Teardrop</td>\n",
" <td>Fresno</td>\n",
" <td>CA</td>\n",
" <td>Mass sighting of 30-40 black objects over Fres...</td>\n",
" <td>20 seconds</td>\n",
" <td>2015-10-08</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>14</td>\n",
" <td>2015-10-08 06:00:00</td>\n",
" <td>Changing</td>\n",
" <td>Corpus Christi</td>\n",
" <td>TX</td>\n",
" <td>Taking pictures of the moon when I saw the obj...</td>\n",
" <td>30 minutes</td>\n",
" <td>2015-10-08</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64752</th>\n",
" <td>64752</td>\n",
" <td>2004-01-02 11:45:00</td>\n",
" <td>Triangle</td>\n",
" <td>El Segundo</td>\n",
" <td>CA</td>\n",
" <td>Bright shiny triangular object droped from the...</td>\n",
" <td>5 minutes</td>\n",
" <td>2004-01-02</td>\n",
" <td>11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64753</th>\n",
" <td>64753</td>\n",
" <td>2004-01-02 11:45:00</td>\n",
" <td>Triangle</td>\n",
" <td>Long Beach/Lakewood City Limt</td>\n",
" <td>CA</td>\n",
" <td>I also seen the shiny bright triangle!</td>\n",
" <td>lights</td>\n",
" <td>2004-01-02</td>\n",
" <td>11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64754</th>\n",
" <td>64754</td>\n",
" <td>2004-01-02 07:35:00</td>\n",
" <td>Circle</td>\n",
" <td>Wailea</td>\n",
" <td>HI</td>\n",
" <td>A Bright Orange Pulsating Orb</td>\n",
" <td>30 minutes</td>\n",
" <td>2004-01-02</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64755</th>\n",
" <td>64755</td>\n",
" <td>2004-01-01 22:00:00</td>\n",
" <td>Triangle</td>\n",
" <td>Kosovo</td>\n",
" <td>NaN</td>\n",
" <td>Massive silent black triangle over Kosovo</td>\n",
" <td>2min</td>\n",
" <td>2004-01-01</td>\n",
" <td>22</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64756</th>\n",
" <td>64756</td>\n",
" <td>2004-01-01 18:00:00</td>\n",
" <td>NaN</td>\n",
" <td>Beatty (near)</td>\n",
" <td>OR</td>\n",
" <td>Unusual object.</td>\n",
" <td>Aircraft activities over</td>\n",
" <td>2004-01-01</td>\n",
" <td>18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64757</th>\n",
" <td>64757</td>\n",
" <td>2004-01-01 17:41:00</td>\n",
" <td>Changing</td>\n",
" <td>Multiple</td>\n",
" <td>NH</td>\n",
" <td>Three possible communicating ufos above highwa...</td>\n",
" <td>NaN</td>\n",
" <td>2004-01-01</td>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64758</th>\n",
" <td>64758</td>\n",
" <td>2004-01-01 17:38:00</td>\n",
" <td>Flash</td>\n",
" <td>Longview</td>\n",
" <td>WA</td>\n",
" <td>Entire sky lit up with two seperate flashes ne...</td>\n",
" <td>4 minutes</td>\n",
" <td>2004-01-01</td>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64759</th>\n",
" <td>64759</td>\n",
" <td>2004-01-01 17:30:00</td>\n",
" <td>Changing</td>\n",
" <td>Atlanta</td>\n",
" <td>GA</td>\n",
" <td>The black object changed from a rectangle to a...</td>\n",
" <td>1 hour</td>\n",
" <td>2004-01-01</td>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64760</th>\n",
" <td>64760</td>\n",
" <td>2004-01-01 15:30:00</td>\n",
" <td>Disk</td>\n",
" <td>Flowery Branch</td>\n",
" <td>GA</td>\n",
" <td>HBCCUFO CANADIAN REPORT: Disk shaped object.</td>\n",
" <td>10 minutes</td>\n",
" <td>2004-01-01</td>\n",
" <td>15</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64761</th>\n",
" <td>64761</td>\n",
" <td>2004-01-01 12:30:00</td>\n",
" <td>Light</td>\n",
" <td>Bakersville</td>\n",
" <td>NC</td>\n",
" <td>I walked into the woods alone!</td>\n",
" <td>2 minutes</td>\n",
" <td>2004-01-01</td>\n",
" <td>12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64762</th>\n",
" <td>64762</td>\n",
" <td>2004-01-01 12:00:00</td>\n",
" <td>Fireball</td>\n",
" <td>London (UK/England)</td>\n",
" <td>NaN</td>\n",
" <td>a bright light. It was hitting me it wouldnt s...</td>\n",
" <td>1-3 minutes</td>\n",
" <td>2004-01-01</td>\n",
" <td>12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64763</th>\n",
" <td>64763</td>\n",
" <td>2004-01-01 11:30:00</td>\n",
" <td>Changing</td>\n",
" <td>Saint-Louis (Canada)</td>\n",
" <td>NB</td>\n",
" <td>three dots making circles around themselves</td>\n",
" <td>20-30min</td>\n",
" <td>2004-01-01</td>\n",
" <td>11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64764</th>\n",
" <td>64764</td>\n",
" <td>2004-01-01 10:45:00</td>\n",
" <td>Triangle</td>\n",
" <td>Tampa</td>\n",
" <td>FL</td>\n",
" <td>prior to the football game between Iowa&amp;Florid...</td>\n",
" <td>15 minutes</td>\n",
" <td>2004-01-01</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64765</th>\n",
" <td>64765</td>\n",
" <td>2004-01-01 02:30:00</td>\n",
" <td>Triangle</td>\n",
" <td>Belleville</td>\n",
" <td>IL</td>\n",
" <td>Irritating sounds from a low flying object</td>\n",
" <td>1-3 minutes</td>\n",
" <td>2004-01-01</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64766</th>\n",
" <td>64766</td>\n",
" <td>2004-01-01 02:00:00</td>\n",
" <td>Formation</td>\n",
" <td>Boston</td>\n",
" <td>MA</td>\n",
" <td>Two amber lights just above the city skyline a...</td>\n",
" <td>5 seconds</td>\n",
" <td>2004-01-01</td>\n",
" <td>2</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>64767 rows × 9 columns</p>\n",
"</div>"
],
"text/plain": [
" ufo_id datetime shape_value \\\n",
"0 0 2015-10-09 08:56:00 Disk \n",
"1 1 2015-10-09 07:07:00 Triangle \n",
"2 2 2015-10-09 06:40:00 Disk \n",
"3 3 2015-10-09 00:00:00 Disk \n",
"4 4 2015-10-08 23:55:00 Rectangle \n",
"5 5 2015-10-08 23:15:00 Light \n",
"6 6 2015-10-08 23:00:00 Triangle \n",
"7 7 2015-10-08 23:00:00 Unknown \n",
"8 8 2015-10-08 22:00:00 Cylinder \n",
"9 9 2015-10-08 22:00:00 Triangle \n",
"10 10 2015-10-08 21:30:00 Circle \n",
"11 11 2015-10-08 21:00:00 Flash \n",
"12 12 2015-10-08 10:05:00 Teardrop \n",
"13 13 2015-10-08 10:05:00 Teardrop \n",
"14 14 2015-10-08 06:00:00 Changing \n",
"... ... ... ... \n",
"64752 64752 2004-01-02 11:45:00 Triangle \n",
"64753 64753 2004-01-02 11:45:00 Triangle \n",
"64754 64754 2004-01-02 07:35:00 Circle \n",
"64755 64755 2004-01-01 22:00:00 Triangle \n",
"64756 64756 2004-01-01 18:00:00 NaN \n",
"64757 64757 2004-01-01 17:41:00 Changing \n",
"64758 64758 2004-01-01 17:38:00 Flash \n",
"64759 64759 2004-01-01 17:30:00 Changing \n",
"64760 64760 2004-01-01 15:30:00 Disk \n",
"64761 64761 2004-01-01 12:30:00 Light \n",
"64762 64762 2004-01-01 12:00:00 Fireball \n",
"64763 64763 2004-01-01 11:30:00 Changing \n",
"64764 64764 2004-01-01 10:45:00 Triangle \n",
"64765 64765 2004-01-01 02:30:00 Triangle \n",
"64766 64766 2004-01-01 02:00:00 Formation \n",
"\n",
" city_value state_value \\\n",
"0 Albuquerque NM \n",
"1 Puget Sound (bet Seattle/Bainbridge Island) WA \n",
"2 Pacoima CA \n",
"3 Stroud (UK/England) NaN \n",
"4 Exeter PA \n",
"5 Nampa ID \n",
"6 Martinez CA \n",
"7 Fayetteville AR \n",
"8 ((Unspecified by witness)) NaN \n",
"9 Clinton MT \n",
"10 Stafford VA \n",
"11 Rahim Yar Khan (Pakistan) NaN \n",
"12 Fresno CA \n",
"13 Fresno CA \n",
"14 Corpus Christi TX \n",
"... ... ... \n",
"64752 El Segundo CA \n",
"64753 Long Beach/Lakewood City Limt CA \n",
"64754 Wailea HI \n",
"64755 Kosovo NaN \n",
"64756 Beatty (near) OR \n",
"64757 Multiple NH \n",
"64758 Longview WA \n",
"64759 Atlanta GA \n",
"64760 Flowery Branch GA \n",
"64761 Bakersville NC \n",
"64762 London (UK/England) NaN \n",
"64763 Saint-Louis (Canada) NB \n",
"64764 Tampa FL \n",
"64765 Belleville IL \n",
"64766 Boston MA \n",
"\n",
" summary_description \\\n",
"0 Disk-shaped object above hot air balloons. ((N... \n",
"1 Cloaked aircraft (military?) over Puget Sound ... \n",
"2 Seen by a cousin of my employee... cannot veri... \n",
"3 Massive spaceship appeared from nowhere in sky... \n",
"4 Large Bright green rectangular light moves nor... \n",
"5 The objects moved across night sky lights on t... \n",
"6 Black triangular UFO over Martinez, CA. \n",
"7 Four blinking lights over Fayetteville. \n",
"8 I saw a bright green cylinder shape craft with... \n",
"9 Large black triangle with dull orange lights. \n",
"10 Large, white, unmoving object above tree line. \n",
"11 Just see moving light on sky. Coming from surf... \n",
"12 20 to 30 black objects hovering in sky. \n",
"13 Mass sighting of 30-40 black objects over Fres... \n",
"14 Taking pictures of the moon when I saw the obj... \n",
"... ... \n",
"64752 Bright shiny triangular object droped from the... \n",
"64753 I also seen the shiny bright triangle! \n",
"64754 A Bright Orange Pulsating Orb \n",
"64755 Massive silent black triangle over Kosovo \n",
"64756 Unusual object. \n",
"64757 Three possible communicating ufos above highwa... \n",
"64758 Entire sky lit up with two seperate flashes ne... \n",
"64759 The black object changed from a rectangle to a... \n",
"64760 HBCCUFO CANADIAN REPORT: Disk shaped object. \n",
"64761 I walked into the woods alone! \n",
"64762 a bright light. It was hitting me it wouldnt s... \n",
"64763 three dots making circles around themselves \n",
"64764 prior to the football game between Iowa&Florid... \n",
"64765 Irritating sounds from a low flying object \n",
"64766 Two amber lights just above the city skyline a... \n",
"\n",
" duration_value_clean date hour \n",
"0 1 minutes 2015-10-09 8 \n",
"1 5 minutes 2015-10-09 7 \n",
"2 3 minutes 2015-10-09 6 \n",
"3 10 2015-10-09 0 \n",
"4 1 minutes 2015-10-08 23 \n",
"5 15 minutes 2015-10-08 23 \n",
"6 1-2 minutes 2015-10-08 23 \n",
"7 5 minutes 2015-10-08 23 \n",
"8 40 seconds 2015-10-08 22 \n",
"9 30 seconds 2015-10-08 22 \n",
"10 60 seconds 2015-10-08 21 \n",
"11 30 minutes 2015-10-08 21 \n",
"12 20 seconds 2015-10-08 10 \n",
"13 20 seconds 2015-10-08 10 \n",
"14 30 minutes 2015-10-08 6 \n",
"... ... ... ... \n",
"64752 5 minutes 2004-01-02 11 \n",
"64753 lights 2004-01-02 11 \n",
"64754 30 minutes 2004-01-02 7 \n",
"64755 2min 2004-01-01 22 \n",
"64756 Aircraft activities over 2004-01-01 18 \n",
"64757 NaN 2004-01-01 17 \n",
"64758 4 minutes 2004-01-01 17 \n",
"64759 1 hour 2004-01-01 17 \n",
"64760 10 minutes 2004-01-01 15 \n",
"64761 2 minutes 2004-01-01 12 \n",
"64762 1-3 minutes 2004-01-01 12 \n",
"64763 20-30min 2004-01-01 11 \n",
"64764 15 minutes 2004-01-01 10 \n",
"64765 1-3 minutes 2004-01-01 2 \n",
"64766 5 seconds 2004-01-01 2 \n",
"\n",
"[64767 rows x 9 columns]"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['date'] = df.datetime.dt.date\n",
"df['hour'] = df.datetime.dt.hour\n",
"df.rename(columns={'index': 'ufo_id'}, inplace=True)\n",
"df"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Notice above that we introduced a ufo_id, we did this because it is of interest to us.\n",
"We could consider this a 'primary key'"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# count ufo viewings by date and by hour\n",
"by_hour = df.pivot_table('ufo_id', aggfunc='count',\n",
" index=['datetime', 'hour'],\n",
" columns='state_value').fillna(0).reset_index('hour')\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We kept doing the find a column from time to time, so let us create a function. "
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"def get_state_col(df=None, state=None):\n",
" return df.columns.get_loc(state)\n"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th>state_value</th>\n",
" <th>hour</th>\n",
" <th>AB</th>\n",
" <th>AK</th>\n",
" <th>AL</th>\n",
" <th>AR</th>\n",
" <th>AZ</th>\n",
" <th>BC</th>\n",
" <th>CA</th>\n",
" <th>CO</th>\n",
" <th>CT</th>\n",
" <th>...</th>\n",
" <th>TN</th>\n",
" <th>TX</th>\n",
" <th>UT</th>\n",
" <th>VA</th>\n",
" <th>VT</th>\n",
" <th>WA</th>\n",
" <th>WI</th>\n",
" <th>WV</th>\n",
" <th>WY</th>\n",
" <th>YT</th>\n",
" </tr>\n",
" <tr>\n",
" <th>datetime</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2004-01-01 02:00:00</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 02:00:00</th>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 02:00:00</th>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 02:00:00</th>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 02:00:00</th>\n",
" <td>4</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 02:00:00</th>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 02:00:00</th>\n",
" <td>6</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 02:00:00</th>\n",
" <td>7</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 02:00:00</th>\n",
" <td>8</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 02:00:00</th>\n",
" <td>9</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 02:00:00</th>\n",
" <td>10</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 02:00:00</th>\n",
" <td>11</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 02:00:00</th>\n",
" <td>12</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 02:00:00</th>\n",
" <td>13</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 02:00:00</th>\n",
" <td>14</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-09 08:56:00</th>\n",
" <td>9</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-09 08:56:00</th>\n",
" <td>10</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-09 08:56:00</th>\n",
" <td>11</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-09 08:56:00</th>\n",
" <td>12</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-09 08:56:00</th>\n",
" <td>13</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-09 08:56:00</th>\n",
" <td>14</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-09 08:56:00</th>\n",
" <td>15</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-09 08:56:00</th>\n",
" <td>16</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-09 08:56:00</th>\n",
" <td>17</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-09 08:56:00</th>\n",
" <td>18</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-09 08:56:00</th>\n",
" <td>19</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-09 08:56:00</th>\n",
" <td>20</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-09 08:56:00</th>\n",
" <td>21</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-09 08:56:00</th>\n",
" <td>22</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-09 08:56:00</th>\n",
" <td>23</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>1294224 rows × 66 columns</p>\n",
"</div>"
],
"text/plain": [
"state_value hour AB AK AL AR AZ BC CA CO CT ... TN TX UT \\\n",
"datetime ... \n",
"2004-01-01 02:00:00 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2004-01-01 02:00:00 1 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2004-01-01 02:00:00 2 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2004-01-01 02:00:00 3 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2004-01-01 02:00:00 4 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2004-01-01 02:00:00 5 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2004-01-01 02:00:00 6 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2004-01-01 02:00:00 7 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2004-01-01 02:00:00 8 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2004-01-01 02:00:00 9 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2004-01-01 02:00:00 10 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2004-01-01 02:00:00 11 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2004-01-01 02:00:00 12 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2004-01-01 02:00:00 13 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2004-01-01 02:00:00 14 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"... ... .. .. .. .. .. .. .. .. .. ... .. .. .. \n",
"2015-10-09 08:56:00 9 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2015-10-09 08:56:00 10 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2015-10-09 08:56:00 11 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2015-10-09 08:56:00 12 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2015-10-09 08:56:00 13 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2015-10-09 08:56:00 14 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2015-10-09 08:56:00 15 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2015-10-09 08:56:00 16 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2015-10-09 08:56:00 17 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2015-10-09 08:56:00 18 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2015-10-09 08:56:00 19 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2015-10-09 08:56:00 20 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2015-10-09 08:56:00 21 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2015-10-09 08:56:00 22 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"2015-10-09 08:56:00 23 0 0 0 0 0 0 0 0 0 ... 0 0 0 \n",
"\n",
"state_value VA VT WA WI WV WY YT \n",
"datetime \n",
"2004-01-01 02:00:00 0 0 0 0 0 0 0 \n",
"2004-01-01 02:00:00 0 0 0 0 0 0 0 \n",
"2004-01-01 02:00:00 0 0 0 0 0 0 0 \n",
"2004-01-01 02:00:00 0 0 0 0 0 0 0 \n",
"2004-01-01 02:00:00 0 0 0 0 0 0 0 \n",
"2004-01-01 02:00:00 0 0 0 0 0 0 0 \n",
"2004-01-01 02:00:00 0 0 0 0 0 0 0 \n",
"2004-01-01 02:00:00 0 0 0 0 0 0 0 \n",
"2004-01-01 02:00:00 0 0 0 0 0 0 0 \n",
"2004-01-01 02:00:00 0 0 0 0 0 0 0 \n",
"2004-01-01 02:00:00 0 0 0 0 0 0 0 \n",
"2004-01-01 02:00:00 0 0 0 0 0 0 0 \n",
"2004-01-01 02:00:00 0 0 0 0 0 0 0 \n",
"2004-01-01 02:00:00 0 0 0 0 0 0 0 \n",
"2004-01-01 02:00:00 0 0 0 0 0 0 0 \n",
"... .. .. .. .. .. .. .. \n",
"2015-10-09 08:56:00 0 0 0 0 0 0 0 \n",
"2015-10-09 08:56:00 0 0 0 0 0 0 0 \n",
"2015-10-09 08:56:00 0 0 0 0 0 0 0 \n",
"2015-10-09 08:56:00 0 0 0 0 0 0 0 \n",
"2015-10-09 08:56:00 0 0 0 0 0 0 0 \n",
"2015-10-09 08:56:00 0 0 0 0 0 0 0 \n",
"2015-10-09 08:56:00 0 0 0 0 0 0 0 \n",
"2015-10-09 08:56:00 0 0 0 0 0 0 0 \n",
"2015-10-09 08:56:00 0 0 0 0 0 0 0 \n",
"2015-10-09 08:56:00 0 0 0 0 0 0 0 \n",
"2015-10-09 08:56:00 0 0 0 0 0 0 0 \n",
"2015-10-09 08:56:00 0 0 0 0 0 0 0 \n",
"2015-10-09 08:56:00 0 0 0 0 0 0 0 \n",
"2015-10-09 08:56:00 0 0 0 0 0 0 0 \n",
"2015-10-09 08:56:00 0 0 0 0 0 0 0 \n",
"\n",
"[1294224 rows x 66 columns]"
]
},
"execution_count": 47,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"by_hour"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<assertpy.assertpy.AssertionBuilder at 0x1130f20b8>"
]
},
"execution_count": 48,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\n",
"assert_that(get_state_col(df=by_hour, state='CA')).is_equal_to(7)\n"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"by_hour_ca_fl = by_hour.iloc[:,[7,12]]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/peadarcoyle/anaconda/lib/python3.4/site-packages/ipykernel/__main__.py:2: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
" from ipykernel import kernelapp as app\n",
"/Users/peadarcoyle/anaconda/lib/python3.4/site-packages/ipykernel/__main__.py:3: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
" app.launch_new_instance()\n"
]
}
],
"source": [
"# average these counts by weekend\n",
"by_hour_ca_fl['weekend'] = (by_hour_ca_fl.index.dayofweek >= 5)\n",
"by_hour_ca_fl['hour'] = by_hour_ca_fl.index.hour \n",
"by_hour_ca_fl = by_hour_ca_fl.groupby(['weekend', 'hour']).mean()\n",
"by_hour_ca_fl.index.set_levels([['weekday', 'weekend'],\n",
" [\"{0}:00\".format(i) for i in range(24)]],\n",
" inplace=True);\n",
"by_hour_ca_fl.columns.name = None"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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g+/btVFVVcffdd7N06VIWLVqERqMhPDwcV1fXVs8BeO2111i8eDGWlpZYWFjw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\nckVERERERMRj/B/AaGvlyZanVQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1130f2c50>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(1, 2, figsize=(16, 6), sharey=False)\n",
"by_hour_ca_fl.loc['weekday'].plot(title='Average Hourly UFO sightings (Mon-Fri)', ax=ax[0])\n",
"by_hour_ca_fl.loc['weekend'].plot(title='Average Hourly UFO sightings (Sat-Sun)', ax=ax[1])\n",
"ax[0].set_ylabel('Average UFO reports per Hour');"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* So our average sighting per hour is actually quite small during the week, \n",
"* Week day there is a slightly higher chance - as you would expect, since people are more likely to be travelling or out and about at the weekend. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Are UFO's real?\n",
"* One way to examine this is some sort of effect size or hypothesis test. \n",
"* Another way is to build a simple model to model the phenomenoa. \n",
"* Another thing is to look at most likely causes of certain shapes. \n",
"* So 'lights' in the sky are most likely planes. "
]
},
{
"cell_type": "code",
"execution_count": 52,
"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>ufo_id</th>\n",
" <th>datetime</th>\n",
" <th>shape_value</th>\n",
" <th>city_value</th>\n",
" <th>state_value</th>\n",
" <th>summary_description</th>\n",
" <th>duration_value_clean</th>\n",
" <th>date</th>\n",
" <th>hour</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>2015-10-09 08:56:00</td>\n",
" <td>Disk</td>\n",
" <td>Albuquerque</td>\n",
" <td>NM</td>\n",
" <td>Disk-shaped object above hot air balloons. ((N...</td>\n",
" <td>1 minutes</td>\n",
" <td>2015-10-09</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>2015-10-09 07:07:00</td>\n",
" <td>Triangle</td>\n",
" <td>Puget Sound (bet Seattle/Bainbridge Island)</td>\n",
" <td>WA</td>\n",
" <td>Cloaked aircraft (military?) over Puget Sound ...</td>\n",
" <td>5 minutes</td>\n",
" <td>2015-10-09</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2</td>\n",
" <td>2015-10-09 06:40:00</td>\n",
" <td>Disk</td>\n",
" <td>Pacoima</td>\n",
" <td>CA</td>\n",
" <td>Seen by a cousin of my employee... cannot veri...</td>\n",
" <td>3 minutes</td>\n",
" <td>2015-10-09</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>3</td>\n",
" <td>2015-10-09 00:00:00</td>\n",
" <td>Disk</td>\n",
" <td>Stroud (UK/England)</td>\n",
" <td>NaN</td>\n",
" <td>Massive spaceship appeared from nowhere in sky...</td>\n",
" <td>10</td>\n",
" <td>2015-10-09</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>4</td>\n",
" <td>2015-10-08 23:55:00</td>\n",
" <td>Rectangle</td>\n",
" <td>Exeter</td>\n",
" <td>PA</td>\n",
" <td>Large Bright green rectangular light moves nor...</td>\n",
" <td>1 minutes</td>\n",
" <td>2015-10-08</td>\n",
" <td>23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>5</td>\n",
" <td>2015-10-08 23:15:00</td>\n",
" <td>Light</td>\n",
" <td>Nampa</td>\n",
" <td>ID</td>\n",
" <td>The objects moved across night sky lights on t...</td>\n",
" <td>15 minutes</td>\n",
" <td>2015-10-08</td>\n",
" <td>23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>6</td>\n",
" <td>2015-10-08 23:00:00</td>\n",
" <td>Triangle</td>\n",
" <td>Martinez</td>\n",
" <td>CA</td>\n",
" <td>Black triangular UFO over Martinez, CA.</td>\n",
" <td>1-2 minutes</td>\n",
" <td>2015-10-08</td>\n",
" <td>23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>7</td>\n",
" <td>2015-10-08 23:00:00</td>\n",
" <td>Unknown</td>\n",
" <td>Fayetteville</td>\n",
" <td>AR</td>\n",
" <td>Four blinking lights over Fayetteville.</td>\n",
" <td>5 minutes</td>\n",
" <td>2015-10-08</td>\n",
" <td>23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>8</td>\n",
" <td>2015-10-08 22:00:00</td>\n",
" <td>Cylinder</td>\n",
" <td>((Unspecified by witness))</td>\n",
" <td>NaN</td>\n",
" <td>I saw a bright green cylinder shape craft with...</td>\n",
" <td>40 seconds</td>\n",
" <td>2015-10-08</td>\n",
" <td>22</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>9</td>\n",
" <td>2015-10-08 22:00:00</td>\n",
" <td>Triangle</td>\n",
" <td>Clinton</td>\n",
" <td>MT</td>\n",
" <td>Large black triangle with dull orange lights.</td>\n",
" <td>30 seconds</td>\n",
" <td>2015-10-08</td>\n",
" <td>22</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>10</td>\n",
" <td>2015-10-08 21:30:00</td>\n",
" <td>Circle</td>\n",
" <td>Stafford</td>\n",
" <td>VA</td>\n",
" <td>Large, white, unmoving object above tree line.</td>\n",
" <td>60 seconds</td>\n",
" <td>2015-10-08</td>\n",
" <td>21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>11</td>\n",
" <td>2015-10-08 21:00:00</td>\n",
" <td>Flash</td>\n",
" <td>Rahim Yar Khan (Pakistan)</td>\n",
" <td>NaN</td>\n",
" <td>Just see moving light on sky. Coming from surf...</td>\n",
" <td>30 minutes</td>\n",
" <td>2015-10-08</td>\n",
" <td>21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>12</td>\n",
" <td>2015-10-08 10:05:00</td>\n",
" <td>Teardrop</td>\n",
" <td>Fresno</td>\n",
" <td>CA</td>\n",
" <td>20 to 30 black objects hovering in sky.</td>\n",
" <td>20 seconds</td>\n",
" <td>2015-10-08</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>13</td>\n",
" <td>2015-10-08 10:05:00</td>\n",
" <td>Teardrop</td>\n",
" <td>Fresno</td>\n",
" <td>CA</td>\n",
" <td>Mass sighting of 30-40 black objects over Fres...</td>\n",
" <td>20 seconds</td>\n",
" <td>2015-10-08</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>14</td>\n",
" <td>2015-10-08 06:00:00</td>\n",
" <td>Changing</td>\n",
" <td>Corpus Christi</td>\n",
" <td>TX</td>\n",
" <td>Taking pictures of the moon when I saw the obj...</td>\n",
" <td>30 minutes</td>\n",
" <td>2015-10-08</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64752</th>\n",
" <td>64752</td>\n",
" <td>2004-01-02 11:45:00</td>\n",
" <td>Triangle</td>\n",
" <td>El Segundo</td>\n",
" <td>CA</td>\n",
" <td>Bright shiny triangular object droped from the...</td>\n",
" <td>5 minutes</td>\n",
" <td>2004-01-02</td>\n",
" <td>11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64753</th>\n",
" <td>64753</td>\n",
" <td>2004-01-02 11:45:00</td>\n",
" <td>Triangle</td>\n",
" <td>Long Beach/Lakewood City Limt</td>\n",
" <td>CA</td>\n",
" <td>I also seen the shiny bright triangle!</td>\n",
" <td>lights</td>\n",
" <td>2004-01-02</td>\n",
" <td>11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64754</th>\n",
" <td>64754</td>\n",
" <td>2004-01-02 07:35:00</td>\n",
" <td>Circle</td>\n",
" <td>Wailea</td>\n",
" <td>HI</td>\n",
" <td>A Bright Orange Pulsating Orb</td>\n",
" <td>30 minutes</td>\n",
" <td>2004-01-02</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64755</th>\n",
" <td>64755</td>\n",
" <td>2004-01-01 22:00:00</td>\n",
" <td>Triangle</td>\n",
" <td>Kosovo</td>\n",
" <td>NaN</td>\n",
" <td>Massive silent black triangle over Kosovo</td>\n",
" <td>2min</td>\n",
" <td>2004-01-01</td>\n",
" <td>22</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64756</th>\n",
" <td>64756</td>\n",
" <td>2004-01-01 18:00:00</td>\n",
" <td>NaN</td>\n",
" <td>Beatty (near)</td>\n",
" <td>OR</td>\n",
" <td>Unusual object.</td>\n",
" <td>Aircraft activities over</td>\n",
" <td>2004-01-01</td>\n",
" <td>18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64757</th>\n",
" <td>64757</td>\n",
" <td>2004-01-01 17:41:00</td>\n",
" <td>Changing</td>\n",
" <td>Multiple</td>\n",
" <td>NH</td>\n",
" <td>Three possible communicating ufos above highwa...</td>\n",
" <td>NaN</td>\n",
" <td>2004-01-01</td>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64758</th>\n",
" <td>64758</td>\n",
" <td>2004-01-01 17:38:00</td>\n",
" <td>Flash</td>\n",
" <td>Longview</td>\n",
" <td>WA</td>\n",
" <td>Entire sky lit up with two seperate flashes ne...</td>\n",
" <td>4 minutes</td>\n",
" <td>2004-01-01</td>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64759</th>\n",
" <td>64759</td>\n",
" <td>2004-01-01 17:30:00</td>\n",
" <td>Changing</td>\n",
" <td>Atlanta</td>\n",
" <td>GA</td>\n",
" <td>The black object changed from a rectangle to a...</td>\n",
" <td>1 hour</td>\n",
" <td>2004-01-01</td>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64760</th>\n",
" <td>64760</td>\n",
" <td>2004-01-01 15:30:00</td>\n",
" <td>Disk</td>\n",
" <td>Flowery Branch</td>\n",
" <td>GA</td>\n",
" <td>HBCCUFO CANADIAN REPORT: Disk shaped object.</td>\n",
" <td>10 minutes</td>\n",
" <td>2004-01-01</td>\n",
" <td>15</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64761</th>\n",
" <td>64761</td>\n",
" <td>2004-01-01 12:30:00</td>\n",
" <td>Light</td>\n",
" <td>Bakersville</td>\n",
" <td>NC</td>\n",
" <td>I walked into the woods alone!</td>\n",
" <td>2 minutes</td>\n",
" <td>2004-01-01</td>\n",
" <td>12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64762</th>\n",
" <td>64762</td>\n",
" <td>2004-01-01 12:00:00</td>\n",
" <td>Fireball</td>\n",
" <td>London (UK/England)</td>\n",
" <td>NaN</td>\n",
" <td>a bright light. It was hitting me it wouldnt s...</td>\n",
" <td>1-3 minutes</td>\n",
" <td>2004-01-01</td>\n",
" <td>12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64763</th>\n",
" <td>64763</td>\n",
" <td>2004-01-01 11:30:00</td>\n",
" <td>Changing</td>\n",
" <td>Saint-Louis (Canada)</td>\n",
" <td>NB</td>\n",
" <td>three dots making circles around themselves</td>\n",
" <td>20-30min</td>\n",
" <td>2004-01-01</td>\n",
" <td>11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64764</th>\n",
" <td>64764</td>\n",
" <td>2004-01-01 10:45:00</td>\n",
" <td>Triangle</td>\n",
" <td>Tampa</td>\n",
" <td>FL</td>\n",
" <td>prior to the football game between Iowa&amp;Florid...</td>\n",
" <td>15 minutes</td>\n",
" <td>2004-01-01</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64765</th>\n",
" <td>64765</td>\n",
" <td>2004-01-01 02:30:00</td>\n",
" <td>Triangle</td>\n",
" <td>Belleville</td>\n",
" <td>IL</td>\n",
" <td>Irritating sounds from a low flying object</td>\n",
" <td>1-3 minutes</td>\n",
" <td>2004-01-01</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64766</th>\n",
" <td>64766</td>\n",
" <td>2004-01-01 02:00:00</td>\n",
" <td>Formation</td>\n",
" <td>Boston</td>\n",
" <td>MA</td>\n",
" <td>Two amber lights just above the city skyline a...</td>\n",
" <td>5 seconds</td>\n",
" <td>2004-01-01</td>\n",
" <td>2</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>64767 rows × 9 columns</p>\n",
"</div>"
],
"text/plain": [
" ufo_id datetime shape_value \\\n",
"0 0 2015-10-09 08:56:00 Disk \n",
"1 1 2015-10-09 07:07:00 Triangle \n",
"2 2 2015-10-09 06:40:00 Disk \n",
"3 3 2015-10-09 00:00:00 Disk \n",
"4 4 2015-10-08 23:55:00 Rectangle \n",
"5 5 2015-10-08 23:15:00 Light \n",
"6 6 2015-10-08 23:00:00 Triangle \n",
"7 7 2015-10-08 23:00:00 Unknown \n",
"8 8 2015-10-08 22:00:00 Cylinder \n",
"9 9 2015-10-08 22:00:00 Triangle \n",
"10 10 2015-10-08 21:30:00 Circle \n",
"11 11 2015-10-08 21:00:00 Flash \n",
"12 12 2015-10-08 10:05:00 Teardrop \n",
"13 13 2015-10-08 10:05:00 Teardrop \n",
"14 14 2015-10-08 06:00:00 Changing \n",
"... ... ... ... \n",
"64752 64752 2004-01-02 11:45:00 Triangle \n",
"64753 64753 2004-01-02 11:45:00 Triangle \n",
"64754 64754 2004-01-02 07:35:00 Circle \n",
"64755 64755 2004-01-01 22:00:00 Triangle \n",
"64756 64756 2004-01-01 18:00:00 NaN \n",
"64757 64757 2004-01-01 17:41:00 Changing \n",
"64758 64758 2004-01-01 17:38:00 Flash \n",
"64759 64759 2004-01-01 17:30:00 Changing \n",
"64760 64760 2004-01-01 15:30:00 Disk \n",
"64761 64761 2004-01-01 12:30:00 Light \n",
"64762 64762 2004-01-01 12:00:00 Fireball \n",
"64763 64763 2004-01-01 11:30:00 Changing \n",
"64764 64764 2004-01-01 10:45:00 Triangle \n",
"64765 64765 2004-01-01 02:30:00 Triangle \n",
"64766 64766 2004-01-01 02:00:00 Formation \n",
"\n",
" city_value state_value \\\n",
"0 Albuquerque NM \n",
"1 Puget Sound (bet Seattle/Bainbridge Island) WA \n",
"2 Pacoima CA \n",
"3 Stroud (UK/England) NaN \n",
"4 Exeter PA \n",
"5 Nampa ID \n",
"6 Martinez CA \n",
"7 Fayetteville AR \n",
"8 ((Unspecified by witness)) NaN \n",
"9 Clinton MT \n",
"10 Stafford VA \n",
"11 Rahim Yar Khan (Pakistan) NaN \n",
"12 Fresno CA \n",
"13 Fresno CA \n",
"14 Corpus Christi TX \n",
"... ... ... \n",
"64752 El Segundo CA \n",
"64753 Long Beach/Lakewood City Limt CA \n",
"64754 Wailea HI \n",
"64755 Kosovo NaN \n",
"64756 Beatty (near) OR \n",
"64757 Multiple NH \n",
"64758 Longview WA \n",
"64759 Atlanta GA \n",
"64760 Flowery Branch GA \n",
"64761 Bakersville NC \n",
"64762 London (UK/England) NaN \n",
"64763 Saint-Louis (Canada) NB \n",
"64764 Tampa FL \n",
"64765 Belleville IL \n",
"64766 Boston MA \n",
"\n",
" summary_description \\\n",
"0 Disk-shaped object above hot air balloons. ((N... \n",
"1 Cloaked aircraft (military?) over Puget Sound ... \n",
"2 Seen by a cousin of my employee... cannot veri... \n",
"3 Massive spaceship appeared from nowhere in sky... \n",
"4 Large Bright green rectangular light moves nor... \n",
"5 The objects moved across night sky lights on t... \n",
"6 Black triangular UFO over Martinez, CA. \n",
"7 Four blinking lights over Fayetteville. \n",
"8 I saw a bright green cylinder shape craft with... \n",
"9 Large black triangle with dull orange lights. \n",
"10 Large, white, unmoving object above tree line. \n",
"11 Just see moving light on sky. Coming from surf... \n",
"12 20 to 30 black objects hovering in sky. \n",
"13 Mass sighting of 30-40 black objects over Fres... \n",
"14 Taking pictures of the moon when I saw the obj... \n",
"... ... \n",
"64752 Bright shiny triangular object droped from the... \n",
"64753 I also seen the shiny bright triangle! \n",
"64754 A Bright Orange Pulsating Orb \n",
"64755 Massive silent black triangle over Kosovo \n",
"64756 Unusual object. \n",
"64757 Three possible communicating ufos above highwa... \n",
"64758 Entire sky lit up with two seperate flashes ne... \n",
"64759 The black object changed from a rectangle to a... \n",
"64760 HBCCUFO CANADIAN REPORT: Disk shaped object. \n",
"64761 I walked into the woods alone! \n",
"64762 a bright light. It was hitting me it wouldnt s... \n",
"64763 three dots making circles around themselves \n",
"64764 prior to the football game between Iowa&Florid... \n",
"64765 Irritating sounds from a low flying object \n",
"64766 Two amber lights just above the city skyline a... \n",
"\n",
" duration_value_clean date hour \n",
"0 1 minutes 2015-10-09 8 \n",
"1 5 minutes 2015-10-09 7 \n",
"2 3 minutes 2015-10-09 6 \n",
"3 10 2015-10-09 0 \n",
"4 1 minutes 2015-10-08 23 \n",
"5 15 minutes 2015-10-08 23 \n",
"6 1-2 minutes 2015-10-08 23 \n",
"7 5 minutes 2015-10-08 23 \n",
"8 40 seconds 2015-10-08 22 \n",
"9 30 seconds 2015-10-08 22 \n",
"10 60 seconds 2015-10-08 21 \n",
"11 30 minutes 2015-10-08 21 \n",
"12 20 seconds 2015-10-08 10 \n",
"13 20 seconds 2015-10-08 10 \n",
"14 30 minutes 2015-10-08 6 \n",
"... ... ... ... \n",
"64752 5 minutes 2004-01-02 11 \n",
"64753 lights 2004-01-02 11 \n",
"64754 30 minutes 2004-01-02 7 \n",
"64755 2min 2004-01-01 22 \n",
"64756 Aircraft activities over 2004-01-01 18 \n",
"64757 NaN 2004-01-01 17 \n",
"64758 4 minutes 2004-01-01 17 \n",
"64759 1 hour 2004-01-01 17 \n",
"64760 10 minutes 2004-01-01 15 \n",
"64761 2 minutes 2004-01-01 12 \n",
"64762 1-3 minutes 2004-01-01 12 \n",
"64763 20-30min 2004-01-01 11 \n",
"64764 15 minutes 2004-01-01 10 \n",
"64765 1-3 minutes 2004-01-01 2 \n",
"64766 5 seconds 2004-01-01 2 \n",
"\n",
"[64767 rows x 9 columns]"
]
},
"execution_count": 52,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {
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},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>ufo_id</th>\n",
" <th>shape_value</th>\n",
" <th>city_value</th>\n",
" <th>state_value</th>\n",
" <th>summary_description</th>\n",
" <th>duration_value_clean</th>\n",
" <th>date</th>\n",
" <th>hour</th>\n",
" </tr>\n",
" <tr>\n",
" <th>datetime</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2015-10-09 08:56:00</th>\n",
" <td>0</td>\n",
" <td>Disk</td>\n",
" <td>Albuquerque</td>\n",
" <td>NM</td>\n",
" <td>Disk-shaped object above hot air balloons. ((N...</td>\n",
" <td>1 minutes</td>\n",
" <td>2015-10-09</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-09 07:07:00</th>\n",
" <td>1</td>\n",
" <td>Triangle</td>\n",
" <td>Puget Sound (bet Seattle/Bainbridge Island)</td>\n",
" <td>WA</td>\n",
" <td>Cloaked aircraft (military?) over Puget Sound ...</td>\n",
" <td>5 minutes</td>\n",
" <td>2015-10-09</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-09 06:40:00</th>\n",
" <td>2</td>\n",
" <td>Disk</td>\n",
" <td>Pacoima</td>\n",
" <td>CA</td>\n",
" <td>Seen by a cousin of my employee... cannot veri...</td>\n",
" <td>3 minutes</td>\n",
" <td>2015-10-09</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-09 00:00:00</th>\n",
" <td>3</td>\n",
" <td>Disk</td>\n",
" <td>Stroud (UK/England)</td>\n",
" <td>NaN</td>\n",
" <td>Massive spaceship appeared from nowhere in sky...</td>\n",
" <td>10</td>\n",
" <td>2015-10-09</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-08 23:55:00</th>\n",
" <td>4</td>\n",
" <td>Rectangle</td>\n",
" <td>Exeter</td>\n",
" <td>PA</td>\n",
" <td>Large Bright green rectangular light moves nor...</td>\n",
" <td>1 minutes</td>\n",
" <td>2015-10-08</td>\n",
" <td>23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-08 23:15:00</th>\n",
" <td>5</td>\n",
" <td>Light</td>\n",
" <td>Nampa</td>\n",
" <td>ID</td>\n",
" <td>The objects moved across night sky lights on t...</td>\n",
" <td>15 minutes</td>\n",
" <td>2015-10-08</td>\n",
" <td>23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-08 23:00:00</th>\n",
" <td>6</td>\n",
" <td>Triangle</td>\n",
" <td>Martinez</td>\n",
" <td>CA</td>\n",
" <td>Black triangular UFO over Martinez, CA.</td>\n",
" <td>1-2 minutes</td>\n",
" <td>2015-10-08</td>\n",
" <td>23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-08 23:00:00</th>\n",
" <td>7</td>\n",
" <td>Unknown</td>\n",
" <td>Fayetteville</td>\n",
" <td>AR</td>\n",
" <td>Four blinking lights over Fayetteville.</td>\n",
" <td>5 minutes</td>\n",
" <td>2015-10-08</td>\n",
" <td>23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-08 22:00:00</th>\n",
" <td>8</td>\n",
" <td>Cylinder</td>\n",
" <td>((Unspecified by witness))</td>\n",
" <td>NaN</td>\n",
" <td>I saw a bright green cylinder shape craft with...</td>\n",
" <td>40 seconds</td>\n",
" <td>2015-10-08</td>\n",
" <td>22</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-08 22:00:00</th>\n",
" <td>9</td>\n",
" <td>Triangle</td>\n",
" <td>Clinton</td>\n",
" <td>MT</td>\n",
" <td>Large black triangle with dull orange lights.</td>\n",
" <td>30 seconds</td>\n",
" <td>2015-10-08</td>\n",
" <td>22</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-08 21:30:00</th>\n",
" <td>10</td>\n",
" <td>Circle</td>\n",
" <td>Stafford</td>\n",
" <td>VA</td>\n",
" <td>Large, white, unmoving object above tree line.</td>\n",
" <td>60 seconds</td>\n",
" <td>2015-10-08</td>\n",
" <td>21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-08 21:00:00</th>\n",
" <td>11</td>\n",
" <td>Flash</td>\n",
" <td>Rahim Yar Khan (Pakistan)</td>\n",
" <td>NaN</td>\n",
" <td>Just see moving light on sky. Coming from surf...</td>\n",
" <td>30 minutes</td>\n",
" <td>2015-10-08</td>\n",
" <td>21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-08 10:05:00</th>\n",
" <td>12</td>\n",
" <td>Teardrop</td>\n",
" <td>Fresno</td>\n",
" <td>CA</td>\n",
" <td>20 to 30 black objects hovering in sky.</td>\n",
" <td>20 seconds</td>\n",
" <td>2015-10-08</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-08 10:05:00</th>\n",
" <td>13</td>\n",
" <td>Teardrop</td>\n",
" <td>Fresno</td>\n",
" <td>CA</td>\n",
" <td>Mass sighting of 30-40 black objects over Fres...</td>\n",
" <td>20 seconds</td>\n",
" <td>2015-10-08</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-10-08 06:00:00</th>\n",
" <td>14</td>\n",
" <td>Changing</td>\n",
" <td>Corpus Christi</td>\n",
" <td>TX</td>\n",
" <td>Taking pictures of the moon when I saw the obj...</td>\n",
" <td>30 minutes</td>\n",
" <td>2015-10-08</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-02 11:45:00</th>\n",
" <td>64752</td>\n",
" <td>Triangle</td>\n",
" <td>El Segundo</td>\n",
" <td>CA</td>\n",
" <td>Bright shiny triangular object droped from the...</td>\n",
" <td>5 minutes</td>\n",
" <td>2004-01-02</td>\n",
" <td>11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-02 11:45:00</th>\n",
" <td>64753</td>\n",
" <td>Triangle</td>\n",
" <td>Long Beach/Lakewood City Limt</td>\n",
" <td>CA</td>\n",
" <td>I also seen the shiny bright triangle!</td>\n",
" <td>lights</td>\n",
" <td>2004-01-02</td>\n",
" <td>11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-02 07:35:00</th>\n",
" <td>64754</td>\n",
" <td>Circle</td>\n",
" <td>Wailea</td>\n",
" <td>HI</td>\n",
" <td>A Bright Orange Pulsating Orb</td>\n",
" <td>30 minutes</td>\n",
" <td>2004-01-02</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 22:00:00</th>\n",
" <td>64755</td>\n",
" <td>Triangle</td>\n",
" <td>Kosovo</td>\n",
" <td>NaN</td>\n",
" <td>Massive silent black triangle over Kosovo</td>\n",
" <td>2min</td>\n",
" <td>2004-01-01</td>\n",
" <td>22</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 18:00:00</th>\n",
" <td>64756</td>\n",
" <td>NaN</td>\n",
" <td>Beatty (near)</td>\n",
" <td>OR</td>\n",
" <td>Unusual object.</td>\n",
" <td>Aircraft activities over</td>\n",
" <td>2004-01-01</td>\n",
" <td>18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 17:41:00</th>\n",
" <td>64757</td>\n",
" <td>Changing</td>\n",
" <td>Multiple</td>\n",
" <td>NH</td>\n",
" <td>Three possible communicating ufos above highwa...</td>\n",
" <td>NaN</td>\n",
" <td>2004-01-01</td>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 17:38:00</th>\n",
" <td>64758</td>\n",
" <td>Flash</td>\n",
" <td>Longview</td>\n",
" <td>WA</td>\n",
" <td>Entire sky lit up with two seperate flashes ne...</td>\n",
" <td>4 minutes</td>\n",
" <td>2004-01-01</td>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 17:30:00</th>\n",
" <td>64759</td>\n",
" <td>Changing</td>\n",
" <td>Atlanta</td>\n",
" <td>GA</td>\n",
" <td>The black object changed from a rectangle to a...</td>\n",
" <td>1 hour</td>\n",
" <td>2004-01-01</td>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 15:30:00</th>\n",
" <td>64760</td>\n",
" <td>Disk</td>\n",
" <td>Flowery Branch</td>\n",
" <td>GA</td>\n",
" <td>HBCCUFO CANADIAN REPORT: Disk shaped object.</td>\n",
" <td>10 minutes</td>\n",
" <td>2004-01-01</td>\n",
" <td>15</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 12:30:00</th>\n",
" <td>64761</td>\n",
" <td>Light</td>\n",
" <td>Bakersville</td>\n",
" <td>NC</td>\n",
" <td>I walked into the woods alone!</td>\n",
" <td>2 minutes</td>\n",
" <td>2004-01-01</td>\n",
" <td>12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 12:00:00</th>\n",
" <td>64762</td>\n",
" <td>Fireball</td>\n",
" <td>London (UK/England)</td>\n",
" <td>NaN</td>\n",
" <td>a bright light. It was hitting me it wouldnt s...</td>\n",
" <td>1-3 minutes</td>\n",
" <td>2004-01-01</td>\n",
" <td>12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 11:30:00</th>\n",
" <td>64763</td>\n",
" <td>Changing</td>\n",
" <td>Saint-Louis (Canada)</td>\n",
" <td>NB</td>\n",
" <td>three dots making circles around themselves</td>\n",
" <td>20-30min</td>\n",
" <td>2004-01-01</td>\n",
" <td>11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 10:45:00</th>\n",
" <td>64764</td>\n",
" <td>Triangle</td>\n",
" <td>Tampa</td>\n",
" <td>FL</td>\n",
" <td>prior to the football game between Iowa&amp;Florid...</td>\n",
" <td>15 minutes</td>\n",
" <td>2004-01-01</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 02:30:00</th>\n",
" <td>64765</td>\n",
" <td>Triangle</td>\n",
" <td>Belleville</td>\n",
" <td>IL</td>\n",
" <td>Irritating sounds from a low flying object</td>\n",
" <td>1-3 minutes</td>\n",
" <td>2004-01-01</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-01 02:00:00</th>\n",
" <td>64766</td>\n",
" <td>Formation</td>\n",
" <td>Boston</td>\n",
" <td>MA</td>\n",
" <td>Two amber lights just above the city skyline a...</td>\n",
" <td>5 seconds</td>\n",
" <td>2004-01-01</td>\n",
" <td>2</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>64767 rows × 8 columns</p>\n",
"</div>"
],
"text/plain": [
" ufo_id shape_value \\\n",
"datetime \n",
"2015-10-09 08:56:00 0 Disk \n",
"2015-10-09 07:07:00 1 Triangle \n",
"2015-10-09 06:40:00 2 Disk \n",
"2015-10-09 00:00:00 3 Disk \n",
"2015-10-08 23:55:00 4 Rectangle \n",
"2015-10-08 23:15:00 5 Light \n",
"2015-10-08 23:00:00 6 Triangle \n",
"2015-10-08 23:00:00 7 Unknown \n",
"2015-10-08 22:00:00 8 Cylinder \n",
"2015-10-08 22:00:00 9 Triangle \n",
"2015-10-08 21:30:00 10 Circle \n",
"2015-10-08 21:00:00 11 Flash \n",
"2015-10-08 10:05:00 12 Teardrop \n",
"2015-10-08 10:05:00 13 Teardrop \n",
"2015-10-08 06:00:00 14 Changing \n",
"... ... ... \n",
"2004-01-02 11:45:00 64752 Triangle \n",
"2004-01-02 11:45:00 64753 Triangle \n",
"2004-01-02 07:35:00 64754 Circle \n",
"2004-01-01 22:00:00 64755 Triangle \n",
"2004-01-01 18:00:00 64756 NaN \n",
"2004-01-01 17:41:00 64757 Changing \n",
"2004-01-01 17:38:00 64758 Flash \n",
"2004-01-01 17:30:00 64759 Changing \n",
"2004-01-01 15:30:00 64760 Disk \n",
"2004-01-01 12:30:00 64761 Light \n",
"2004-01-01 12:00:00 64762 Fireball \n",
"2004-01-01 11:30:00 64763 Changing \n",
"2004-01-01 10:45:00 64764 Triangle \n",
"2004-01-01 02:30:00 64765 Triangle \n",
"2004-01-01 02:00:00 64766 Formation \n",
"\n",
" city_value state_value \\\n",
"datetime \n",
"2015-10-09 08:56:00 Albuquerque NM \n",
"2015-10-09 07:07:00 Puget Sound (bet Seattle/Bainbridge Island) WA \n",
"2015-10-09 06:40:00 Pacoima CA \n",
"2015-10-09 00:00:00 Stroud (UK/England) NaN \n",
"2015-10-08 23:55:00 Exeter PA \n",
"2015-10-08 23:15:00 Nampa ID \n",
"2015-10-08 23:00:00 Martinez CA \n",
"2015-10-08 23:00:00 Fayetteville AR \n",
"2015-10-08 22:00:00 ((Unspecified by witness)) NaN \n",
"2015-10-08 22:00:00 Clinton MT \n",
"2015-10-08 21:30:00 Stafford VA \n",
"2015-10-08 21:00:00 Rahim Yar Khan (Pakistan) NaN \n",
"2015-10-08 10:05:00 Fresno CA \n",
"2015-10-08 10:05:00 Fresno CA \n",
"2015-10-08 06:00:00 Corpus Christi TX \n",
"... ... ... \n",
"2004-01-02 11:45:00 El Segundo CA \n",
"2004-01-02 11:45:00 Long Beach/Lakewood City Limt CA \n",
"2004-01-02 07:35:00 Wailea HI \n",
"2004-01-01 22:00:00 Kosovo NaN \n",
"2004-01-01 18:00:00 Beatty (near) OR \n",
"2004-01-01 17:41:00 Multiple NH \n",
"2004-01-01 17:38:00 Longview WA \n",
"2004-01-01 17:30:00 Atlanta GA \n",
"2004-01-01 15:30:00 Flowery Branch GA \n",
"2004-01-01 12:30:00 Bakersville NC \n",
"2004-01-01 12:00:00 London (UK/England) NaN \n",
"2004-01-01 11:30:00 Saint-Louis (Canada) NB \n",
"2004-01-01 10:45:00 Tampa FL \n",
"2004-01-01 02:30:00 Belleville IL \n",
"2004-01-01 02:00:00 Boston MA \n",
"\n",
" summary_description \\\n",
"datetime \n",
"2015-10-09 08:56:00 Disk-shaped object above hot air balloons. ((N... \n",
"2015-10-09 07:07:00 Cloaked aircraft (military?) over Puget Sound ... \n",
"2015-10-09 06:40:00 Seen by a cousin of my employee... cannot veri... \n",
"2015-10-09 00:00:00 Massive spaceship appeared from nowhere in sky... \n",
"2015-10-08 23:55:00 Large Bright green rectangular light moves nor... \n",
"2015-10-08 23:15:00 The objects moved across night sky lights on t... \n",
"2015-10-08 23:00:00 Black triangular UFO over Martinez, CA. \n",
"2015-10-08 23:00:00 Four blinking lights over Fayetteville. \n",
"2015-10-08 22:00:00 I saw a bright green cylinder shape craft with... \n",
"2015-10-08 22:00:00 Large black triangle with dull orange lights. \n",
"2015-10-08 21:30:00 Large, white, unmoving object above tree line. \n",
"2015-10-08 21:00:00 Just see moving light on sky. Coming from surf... \n",
"2015-10-08 10:05:00 20 to 30 black objects hovering in sky. \n",
"2015-10-08 10:05:00 Mass sighting of 30-40 black objects over Fres... \n",
"2015-10-08 06:00:00 Taking pictures of the moon when I saw the obj... \n",
"... ... \n",
"2004-01-02 11:45:00 Bright shiny triangular object droped from the... \n",
"2004-01-02 11:45:00 I also seen the shiny bright triangle! \n",
"2004-01-02 07:35:00 A Bright Orange Pulsating Orb \n",
"2004-01-01 22:00:00 Massive silent black triangle over Kosovo \n",
"2004-01-01 18:00:00 Unusual object. \n",
"2004-01-01 17:41:00 Three possible communicating ufos above highwa... \n",
"2004-01-01 17:38:00 Entire sky lit up with two seperate flashes ne... \n",
"2004-01-01 17:30:00 The black object changed from a rectangle to a... \n",
"2004-01-01 15:30:00 HBCCUFO CANADIAN REPORT: Disk shaped object. \n",
"2004-01-01 12:30:00 I walked into the woods alone! \n",
"2004-01-01 12:00:00 a bright light. It was hitting me it wouldnt s... \n",
"2004-01-01 11:30:00 three dots making circles around themselves \n",
"2004-01-01 10:45:00 prior to the football game between Iowa&Florid... \n",
"2004-01-01 02:30:00 Irritating sounds from a low flying object \n",
"2004-01-01 02:00:00 Two amber lights just above the city skyline a... \n",
"\n",
" duration_value_clean date hour \n",
"datetime \n",
"2015-10-09 08:56:00 1 minutes 2015-10-09 8 \n",
"2015-10-09 07:07:00 5 minutes 2015-10-09 7 \n",
"2015-10-09 06:40:00 3 minutes 2015-10-09 6 \n",
"2015-10-09 00:00:00 10 2015-10-09 0 \n",
"2015-10-08 23:55:00 1 minutes 2015-10-08 23 \n",
"2015-10-08 23:15:00 15 minutes 2015-10-08 23 \n",
"2015-10-08 23:00:00 1-2 minutes 2015-10-08 23 \n",
"2015-10-08 23:00:00 5 minutes 2015-10-08 23 \n",
"2015-10-08 22:00:00 40 seconds 2015-10-08 22 \n",
"2015-10-08 22:00:00 30 seconds 2015-10-08 22 \n",
"2015-10-08 21:30:00 60 seconds 2015-10-08 21 \n",
"2015-10-08 21:00:00 30 minutes 2015-10-08 21 \n",
"2015-10-08 10:05:00 20 seconds 2015-10-08 10 \n",
"2015-10-08 10:05:00 20 seconds 2015-10-08 10 \n",
"2015-10-08 06:00:00 30 minutes 2015-10-08 6 \n",
"... ... ... ... \n",
"2004-01-02 11:45:00 5 minutes 2004-01-02 11 \n",
"2004-01-02 11:45:00 lights 2004-01-02 11 \n",
"2004-01-02 07:35:00 30 minutes 2004-01-02 7 \n",
"2004-01-01 22:00:00 2min 2004-01-01 22 \n",
"2004-01-01 18:00:00 Aircraft activities over 2004-01-01 18 \n",
"2004-01-01 17:41:00 NaN 2004-01-01 17 \n",
"2004-01-01 17:38:00 4 minutes 2004-01-01 17 \n",
"2004-01-01 17:30:00 1 hour 2004-01-01 17 \n",
"2004-01-01 15:30:00 10 minutes 2004-01-01 15 \n",
"2004-01-01 12:30:00 2 minutes 2004-01-01 12 \n",
"2004-01-01 12:00:00 1-3 minutes 2004-01-01 12 \n",
"2004-01-01 11:30:00 20-30min 2004-01-01 11 \n",
"2004-01-01 10:45:00 15 minutes 2004-01-01 10 \n",
"2004-01-01 02:30:00 1-3 minutes 2004-01-01 2 \n",
"2004-01-01 02:00:00 5 seconds 2004-01-01 2 \n",
"\n",
"[64767 rows x 8 columns]"
]
},
"execution_count": 53,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ufo_sightings = df.set_index('datetime')\n",
"ufo_sightings"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Let us build a simple model\n",
"* With models I believe and all good data scientists believe that 'simpler' is better.\n",
"* So we will build a simple linear regression model to see what happens. \n",
"* We'll not have time to go into model selection and problems, this is a first rigorous analysis."
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"ufo_sightings = ufo_sightings.groupby(ufo_sightings.date.astype('datetime64')).sum()\n",
"ufo_sightings['total'] = ufo_sightings.sum(1)\n",
"ufo_sightings['weekly'] = pd.rolling_mean(ufo_sightings['total'], 7, center=True)"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# Compute a sinusoidal model\n",
"from sklearn.linear_model import LinearRegression\n",
"days = (ufo_sightings.index - ufo_sightings.index[0]).days\n",
"X = np.sin(2 * np.pi * (days[:, None] / 365 - [0, 0.25]))\n",
"y = ufo_sightings['total']\n",
"ufo_sightings['model'] = LinearRegression(fit_intercept=True).fit(X, y).predict(X)"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.text.Text at 0x1120ae6d8>"
]
},
"execution_count": 56,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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2bdvUvn17FRcX67vvvpOnp6dOnDihTp06KSUlRVarVd27dy/1fZPJpCNHjujw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\nI59N52hUwlzJf4yvv3ELf0+20tC82WHHg7nPvQ2HEuxXRk7FVZKxEBFVG
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