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riow1983/training_ggplot2.ipynb

Created January 23, 2018 17:04
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training_ggplot2.ipynb
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"execution_count": 11,
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"text/markdown": [
"1. 3\n",
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"source": [
"rbinom(n=10, size=5, prob=0.5)"
]
},
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"execution_count": 12,
"metadata": {
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"outputs": [
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"source": [
"dbinom(x=2, size=5, prob=0.5)"
]
},
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"execution_count": 7,
"metadata": {
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"outputs": [
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"0.5^2"
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"outputs": [
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"source": [
"0.5^3"
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{
"cell_type": "code",
"execution_count": 10,
"metadata": {
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"outputs": [
{
"data": {
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"outputs": [],
"source": [
"x <- 0:5"
]
},
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"execution_count": 17,
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{
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"metadata": {
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{
"data": {
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f0wEawsqliJQPf7vrztEwggkK4Al9ilu25pGQIIIFCrgG9Y/77yllpLYeEIhCPg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\ndzLy4Rc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lZx0tw63xIYhUCmT/MRv+/e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\nuJmpc4XtwQAAAABJRU5ErkJggg==",
"text/plain": [
"plot without title"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plot(x, dbinom(x, size=5, prob=0.5), type=\"b\")"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"collapsed": false
},
"outputs": [
{
"ename": "ERROR",
"evalue": "Error in library(tidyverse): there is no package called ‘tidyverse’\n",
"output_type": "error",
"traceback": [
"Error in library(tidyverse): there is no package called ‘tidyverse’\nTraceback:\n",
"1. library(tidyverse)",
"2. stop(txt, domain = NA)"
]
}
],
"source": [
"library(tidyverse)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"also installing the dependencies ‘utf8’, ‘backports’, ‘mnormt’, ‘pillar’, ‘rematch’, ‘highr’, ‘markdown’, ‘yaml’, ‘htmltools’, ‘base64enc’, ‘rprojroot’, ‘psych’, ‘DBI’, ‘rlang’, ‘tibble’, ‘cellranger’, ‘callr’, ‘clipr’, ‘knitr’, ‘rmarkdown’, ‘selectr’, ‘broom’, ‘cli’, ‘dbplyr’, ‘forcats’, ‘haven’, ‘modelr’, ‘readxl’, ‘reprex’, ‘rvest’, ‘xml2’\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
" There are binary versions available but the source versions are later:\n",
" binary source needs_compilation\n",
"utf8 1.1.2 1.1.3 TRUE\n",
"rprojroot 1.2 1.3-2 FALSE\n",
"psych 1.7.3.21 1.7.8 FALSE\n",
"tibble 1.3.4 1.4.1 TRUE\n",
"dbplyr 1.1.0 1.2.0 FALSE\n",
"\n",
"\n",
"The downloaded binary packages are in\n",
"\t/var/folders/k2/1whlqmfj28z9kxvcyfh4cj3r0000gr/T//RtmpNwoPhv/downloaded_packages\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"installing the source packages ‘utf8’, ‘rprojroot’, ‘psych’, ‘tibble’, ‘dbplyr’\n",
"\n"
]
}
],
"source": [
"#install.packages(\"tidyverse\")"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"── Attaching packages ─────────────────────────────────────── tidyverse 1.2.1 ──\n",
"✔ ggplot2 2.2.1 ✔ purrr 0.2.4\n",
"✔ tibble 1.4.1 ✔ dplyr 0.7.4\n",
"✔ tidyr 0.7.2 ✔ stringr 1.2.0\n",
"✔ readr 1.1.1 ✔ forcats 0.2.0\n",
"── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──\n",
"✖ dplyr::filter() masks stats::filter()\n",
"✖ dplyr::lag() masks stats::lag()\n"
]
}
],
"source": [
"library(tidyverse)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<table>\n",
"<thead><tr><th scope=col>manufacturer</th><th scope=col>model</th><th scope=col>displ</th><th scope=col>year</th><th scope=col>cyl</th><th scope=col>trans</th><th scope=col>drv</th><th scope=col>cty</th><th scope=col>hwy</th><th scope=col>fl</th><th scope=col>class</th></tr></thead>\n",
"<tbody>\n",
"\t<tr><td>audi </td><td>a4 </td><td>1.8 </td><td>1999 </td><td>4 </td><td>auto(l5) </td><td>f </td><td>18 </td><td>29 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 </td><td>1.8 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>f </td><td>21 </td><td>29 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 </td><td>2.0 </td><td>2008 </td><td>4 </td><td>manual(m6) </td><td>f </td><td>20 </td><td>31 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 </td><td>2.0 </td><td>2008 </td><td>4 </td><td>auto(av) </td><td>f </td><td>21 </td><td>30 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 </td><td>2.8 </td><td>1999 </td><td>6 </td><td>auto(l5) </td><td>f </td><td>16 </td><td>26 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 </td><td>2.8 </td><td>1999 </td><td>6 </td><td>manual(m5) </td><td>f </td><td>18 </td><td>26 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 </td><td>3.1 </td><td>2008 </td><td>6 </td><td>auto(av) </td><td>f </td><td>18 </td><td>27 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>1.8 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>4 </td><td>18 </td><td>26 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>1.8 </td><td>1999 </td><td>4 </td><td>auto(l5) </td><td>4 </td><td>16 </td><td>25 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>2.0 </td><td>2008 </td><td>4 </td><td>manual(m6) </td><td>4 </td><td>20 </td><td>28 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>2.0 </td><td>2008 </td><td>4 </td><td>auto(s6) </td><td>4 </td><td>19 </td><td>27 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>2.8 </td><td>1999 </td><td>6 </td><td>auto(l5) </td><td>4 </td><td>15 </td><td>25 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>2.8 </td><td>1999 </td><td>6 </td><td>manual(m5) </td><td>4 </td><td>17 </td><td>25 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>3.1 </td><td>2008 </td><td>6 </td><td>auto(s6) </td><td>4 </td><td>17 </td><td>25 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>3.1 </td><td>2008 </td><td>6 </td><td>manual(m6) </td><td>4 </td><td>15 </td><td>25 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a6 quattro </td><td>2.8 </td><td>1999 </td><td>6 </td><td>auto(l5) </td><td>4 </td><td>15 </td><td>24 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>audi </td><td>a6 quattro </td><td>3.1 </td><td>2008 </td><td>6 </td><td>auto(s6) </td><td>4 </td><td>17 </td><td>25 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>audi </td><td>a6 quattro </td><td>4.2 </td><td>2008 </td><td>8 </td><td>auto(s6) </td><td>4 </td><td>16 </td><td>23 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>chevrolet </td><td>c1500 suburban 2wd</td><td>5.3 </td><td>2008 </td><td>8 </td><td>auto(l4) </td><td>r </td><td>14 </td><td>20 </td><td>r </td><td>suv </td></tr>\n",
"\t<tr><td>chevrolet </td><td>c1500 suburban 2wd</td><td>5.3 </td><td>2008 </td><td>8 </td><td>auto(l4) </td><td>r </td><td>11 </td><td>15 </td><td>e </td><td>suv </td></tr>\n",
"\t<tr><td>chevrolet </td><td>c1500 suburban 2wd</td><td>5.3 </td><td>2008 </td><td>8 </td><td>auto(l4) </td><td>r </td><td>14 </td><td>20 </td><td>r </td><td>suv </td></tr>\n",
"\t<tr><td>chevrolet </td><td>c1500 suburban 2wd</td><td>5.7 </td><td>1999 </td><td>8 </td><td>auto(l4) </td><td>r </td><td>13 </td><td>17 </td><td>r </td><td>suv </td></tr>\n",
"\t<tr><td>chevrolet </td><td>c1500 suburban 2wd</td><td>6.0 </td><td>2008 </td><td>8 </td><td>auto(l4) </td><td>r </td><td>12 </td><td>17 </td><td>r </td><td>suv </td></tr>\n",
"\t<tr><td>chevrolet </td><td>corvette </td><td>5.7 </td><td>1999 </td><td>8 </td><td>manual(m6) </td><td>r </td><td>16 </td><td>26 </td><td>p </td><td>2seater </td></tr>\n",
"\t<tr><td>chevrolet </td><td>corvette </td><td>5.7 </td><td>1999 </td><td>8 </td><td>auto(l4) </td><td>r </td><td>15 </td><td>23 </td><td>p </td><td>2seater </td></tr>\n",
"\t<tr><td>chevrolet </td><td>corvette </td><td>6.2 </td><td>2008 </td><td>8 </td><td>manual(m6) </td><td>r </td><td>16 </td><td>26 </td><td>p </td><td>2seater </td></tr>\n",
"\t<tr><td>chevrolet </td><td>corvette </td><td>6.2 </td><td>2008 </td><td>8 </td><td>auto(s6) </td><td>r </td><td>15 </td><td>25 </td><td>p </td><td>2seater </td></tr>\n",
"\t<tr><td>chevrolet </td><td>corvette </td><td>7.0 </td><td>2008 </td><td>8 </td><td>manual(m6) </td><td>r </td><td>15 </td><td>24 </td><td>p </td><td>2seater </td></tr>\n",
"\t<tr><td>chevrolet </td><td>k1500 tahoe 4wd </td><td>5.3 </td><td>2008 </td><td>8 </td><td>auto(l4) </td><td>4 </td><td>14 </td><td>19 </td><td>r </td><td>suv </td></tr>\n",
"\t<tr><td>chevrolet </td><td>k1500 tahoe 4wd </td><td>5.3 </td><td>2008 </td><td>8 </td><td>auto(l4) </td><td>4 </td><td>11 </td><td>14 </td><td>e </td><td>suv </td></tr>\n",
"\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
"\t<tr><td>toyota </td><td>toyota tacoma 4wd</td><td>3.4 </td><td>1999 </td><td>6 </td><td>auto(l4) </td><td>4 </td><td>15 </td><td>19 </td><td>r </td><td>pickup </td></tr>\n",
"\t<tr><td>toyota </td><td>toyota tacoma 4wd</td><td>4.0 </td><td>2008 </td><td>6 </td><td>manual(m6) </td><td>4 </td><td>15 </td><td>18 </td><td>r </td><td>pickup </td></tr>\n",
"\t<tr><td>toyota </td><td>toyota tacoma 4wd</td><td>4.0 </td><td>2008 </td><td>6 </td><td>auto(l5) </td><td>4 </td><td>16 </td><td>20 </td><td>r </td><td>pickup </td></tr>\n",
"\t<tr><td>volkswagen </td><td>gti </td><td>2.0 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>f </td><td>21 </td><td>29 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>gti </td><td>2.0 </td><td>1999 </td><td>4 </td><td>auto(l4) </td><td>f </td><td>19 </td><td>26 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>gti </td><td>2.0 </td><td>2008 </td><td>4 </td><td>manual(m6) </td><td>f </td><td>21 </td><td>29 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>gti </td><td>2.0 </td><td>2008 </td><td>4 </td><td>auto(s6) </td><td>f </td><td>22 </td><td>29 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>gti </td><td>2.8 </td><td>1999 </td><td>6 </td><td>manual(m5) </td><td>f </td><td>17 </td><td>24 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>1.9 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>f </td><td>33 </td><td>44 </td><td>d </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.0 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>f </td><td>21 </td><td>29 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.0 </td><td>1999 </td><td>4 </td><td>auto(l4) </td><td>f </td><td>19 </td><td>26 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.0 </td><td>2008 </td><td>4 </td><td>auto(s6) </td><td>f </td><td>22 </td><td>29 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.0 </td><td>2008 </td><td>4 </td><td>manual(m6) </td><td>f </td><td>21 </td><td>29 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.5 </td><td>2008 </td><td>5 </td><td>auto(s6) </td><td>f </td><td>21 </td><td>29 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.5 </td><td>2008 </td><td>5 </td><td>manual(m5) </td><td>f </td><td>21 </td><td>29 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.8 </td><td>1999 </td><td>6 </td><td>auto(l4) </td><td>f </td><td>16 </td><td>23 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.8 </td><td>1999 </td><td>6 </td><td>manual(m5) </td><td>f </td><td>17 </td><td>24 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>new beetle </td><td>1.9 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>f </td><td>35 </td><td>44 </td><td>d </td><td>subcompact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>new beetle </td><td>1.9 </td><td>1999 </td><td>4 </td><td>auto(l4) </td><td>f </td><td>29 </td><td>41 </td><td>d </td><td>subcompact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>new beetle </td><td>2.0 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>f </td><td>21 </td><td>29 </td><td>r </td><td>subcompact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>new beetle </td><td>2.0 </td><td>1999 </td><td>4 </td><td>auto(l4) </td><td>f </td><td>19 </td><td>26 </td><td>r </td><td>subcompact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>new beetle </td><td>2.5 </td><td>2008 </td><td>5 </td><td>manual(m5) </td><td>f </td><td>20 </td><td>28 </td><td>r </td><td>subcompact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>new beetle </td><td>2.5 </td><td>2008 </td><td>5 </td><td>auto(s6) </td><td>f </td><td>20 </td><td>29 </td><td>r </td><td>subcompact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>passat </td><td>1.8 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>f </td><td>21 </td><td>29 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>volkswagen </td><td>passat </td><td>1.8 </td><td>1999 </td><td>4 </td><td>auto(l5) </td><td>f </td><td>18 </td><td>29 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>volkswagen </td><td>passat </td><td>2.0 </td><td>2008 </td><td>4 </td><td>auto(s6) </td><td>f </td><td>19 </td><td>28 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>volkswagen </td><td>passat </td><td>2.0 </td><td>2008 </td><td>4 </td><td>manual(m6) </td><td>f </td><td>21 </td><td>29 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>volkswagen </td><td>passat </td><td>2.8 </td><td>1999 </td><td>6 </td><td>auto(l5) </td><td>f </td><td>16 </td><td>26 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>volkswagen </td><td>passat </td><td>2.8 </td><td>1999 </td><td>6 </td><td>manual(m5) </td><td>f </td><td>18 </td><td>26 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>volkswagen </td><td>passat </td><td>3.6 </td><td>2008 </td><td>6 </td><td>auto(s6) </td><td>f </td><td>17 </td><td>26 </td><td>p </td><td>midsize </td></tr>\n",
"</tbody>\n",
"</table>\n"
],
"text/latex": [
"\\begin{tabular}{r|lllllllllll}\n",
" manufacturer & model & displ & year & cyl & trans & drv & cty & hwy & fl & class\\\\\n",
"\\hline\n",
"\t audi & a4 & 1.8 & 1999 & 4 & auto(l5) & f & 18 & 29 & p & compact \\\\\n",
"\t audi & a4 & 1.8 & 1999 & 4 & manual(m5) & f & 21 & 29 & p & compact \\\\\n",
"\t audi & a4 & 2.0 & 2008 & 4 & manual(m6) & f & 20 & 31 & p & compact \\\\\n",
"\t audi & a4 & 2.0 & 2008 & 4 & auto(av) & f & 21 & 30 & p & compact \\\\\n",
"\t audi & a4 & 2.8 & 1999 & 6 & auto(l5) & f & 16 & 26 & p & compact \\\\\n",
"\t audi & a4 & 2.8 & 1999 & 6 & manual(m5) & f & 18 & 26 & p & compact \\\\\n",
"\t audi & a4 & 3.1 & 2008 & 6 & auto(av) & f & 18 & 27 & p & compact \\\\\n",
"\t audi & a4 quattro & 1.8 & 1999 & 4 & manual(m5) & 4 & 18 & 26 & p & compact \\\\\n",
"\t audi & a4 quattro & 1.8 & 1999 & 4 & auto(l5) & 4 & 16 & 25 & p & compact \\\\\n",
"\t audi & a4 quattro & 2.0 & 2008 & 4 & manual(m6) & 4 & 20 & 28 & p & compact \\\\\n",
"\t audi & a4 quattro & 2.0 & 2008 & 4 & auto(s6) & 4 & 19 & 27 & p & compact \\\\\n",
"\t audi & a4 quattro & 2.8 & 1999 & 6 & auto(l5) & 4 & 15 & 25 & p & compact \\\\\n",
"\t audi & a4 quattro & 2.8 & 1999 & 6 & manual(m5) & 4 & 17 & 25 & p & compact \\\\\n",
"\t audi & a4 quattro & 3.1 & 2008 & 6 & auto(s6) & 4 & 17 & 25 & p & compact \\\\\n",
"\t audi & a4 quattro & 3.1 & 2008 & 6 & manual(m6) & 4 & 15 & 25 & p & compact \\\\\n",
"\t audi & a6 quattro & 2.8 & 1999 & 6 & auto(l5) & 4 & 15 & 24 & p & midsize \\\\\n",
"\t audi & a6 quattro & 3.1 & 2008 & 6 & auto(s6) & 4 & 17 & 25 & p & midsize \\\\\n",
"\t audi & a6 quattro & 4.2 & 2008 & 8 & auto(s6) & 4 & 16 & 23 & p & midsize \\\\\n",
"\t chevrolet & c1500 suburban 2wd & 5.3 & 2008 & 8 & auto(l4) & r & 14 & 20 & r & suv \\\\\n",
"\t chevrolet & c1500 suburban 2wd & 5.3 & 2008 & 8 & auto(l4) & r & 11 & 15 & e & suv \\\\\n",
"\t chevrolet & c1500 suburban 2wd & 5.3 & 2008 & 8 & auto(l4) & r & 14 & 20 & r & suv \\\\\n",
"\t chevrolet & c1500 suburban 2wd & 5.7 & 1999 & 8 & auto(l4) & r & 13 & 17 & r & suv \\\\\n",
"\t chevrolet & c1500 suburban 2wd & 6.0 & 2008 & 8 & auto(l4) & r & 12 & 17 & r & suv \\\\\n",
"\t chevrolet & corvette & 5.7 & 1999 & 8 & manual(m6) & r & 16 & 26 & p & 2seater \\\\\n",
"\t chevrolet & corvette & 5.7 & 1999 & 8 & auto(l4) & r & 15 & 23 & p & 2seater \\\\\n",
"\t chevrolet & corvette & 6.2 & 2008 & 8 & manual(m6) & r & 16 & 26 & p & 2seater \\\\\n",
"\t chevrolet & corvette & 6.2 & 2008 & 8 & auto(s6) & r & 15 & 25 & p & 2seater \\\\\n",
"\t chevrolet & corvette & 7.0 & 2008 & 8 & manual(m6) & r & 15 & 24 & p & 2seater \\\\\n",
"\t chevrolet & k1500 tahoe 4wd & 5.3 & 2008 & 8 & auto(l4) & 4 & 14 & 19 & r & suv \\\\\n",
"\t chevrolet & k1500 tahoe 4wd & 5.3 & 2008 & 8 & auto(l4) & 4 & 11 & 14 & e & suv \\\\\n",
"\t ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
"\t toyota & toyota tacoma 4wd & 3.4 & 1999 & 6 & auto(l4) & 4 & 15 & 19 & r & pickup \\\\\n",
"\t toyota & toyota tacoma 4wd & 4.0 & 2008 & 6 & manual(m6) & 4 & 15 & 18 & r & pickup \\\\\n",
"\t toyota & toyota tacoma 4wd & 4.0 & 2008 & 6 & auto(l5) & 4 & 16 & 20 & r & pickup \\\\\n",
"\t volkswagen & gti & 2.0 & 1999 & 4 & manual(m5) & f & 21 & 29 & r & compact \\\\\n",
"\t volkswagen & gti & 2.0 & 1999 & 4 & auto(l4) & f & 19 & 26 & r & compact \\\\\n",
"\t volkswagen & gti & 2.0 & 2008 & 4 & manual(m6) & f & 21 & 29 & p & compact \\\\\n",
"\t volkswagen & gti & 2.0 & 2008 & 4 & auto(s6) & f & 22 & 29 & p & compact \\\\\n",
"\t volkswagen & gti & 2.8 & 1999 & 6 & manual(m5) & f & 17 & 24 & r & compact \\\\\n",
"\t volkswagen & jetta & 1.9 & 1999 & 4 & manual(m5) & f & 33 & 44 & d & compact \\\\\n",
"\t volkswagen & jetta & 2.0 & 1999 & 4 & manual(m5) & f & 21 & 29 & r & compact \\\\\n",
"\t volkswagen & jetta & 2.0 & 1999 & 4 & auto(l4) & f & 19 & 26 & r & compact \\\\\n",
"\t volkswagen & jetta & 2.0 & 2008 & 4 & auto(s6) & f & 22 & 29 & p & compact \\\\\n",
"\t volkswagen & jetta & 2.0 & 2008 & 4 & manual(m6) & f & 21 & 29 & p & compact \\\\\n",
"\t volkswagen & jetta & 2.5 & 2008 & 5 & auto(s6) & f & 21 & 29 & r & compact \\\\\n",
"\t volkswagen & jetta & 2.5 & 2008 & 5 & manual(m5) & f & 21 & 29 & r & compact \\\\\n",
"\t volkswagen & jetta & 2.8 & 1999 & 6 & auto(l4) & f & 16 & 23 & r & compact \\\\\n",
"\t volkswagen & jetta & 2.8 & 1999 & 6 & manual(m5) & f & 17 & 24 & r & compact \\\\\n",
"\t volkswagen & new beetle & 1.9 & 1999 & 4 & manual(m5) & f & 35 & 44 & d & subcompact \\\\\n",
"\t volkswagen & new beetle & 1.9 & 1999 & 4 & auto(l4) & f & 29 & 41 & d & subcompact \\\\\n",
"\t volkswagen & new beetle & 2.0 & 1999 & 4 & manual(m5) & f & 21 & 29 & r & subcompact \\\\\n",
"\t volkswagen & new beetle & 2.0 & 1999 & 4 & auto(l4) & f & 19 & 26 & r & subcompact \\\\\n",
"\t volkswagen & new beetle & 2.5 & 2008 & 5 & manual(m5) & f & 20 & 28 & r & subcompact \\\\\n",
"\t volkswagen & new beetle & 2.5 & 2008 & 5 & auto(s6) & f & 20 & 29 & r & subcompact \\\\\n",
"\t volkswagen & passat & 1.8 & 1999 & 4 & manual(m5) & f & 21 & 29 & p & midsize \\\\\n",
"\t volkswagen & passat & 1.8 & 1999 & 4 & auto(l5) & f & 18 & 29 & p & midsize \\\\\n",
"\t volkswagen & passat & 2.0 & 2008 & 4 & auto(s6) & f & 19 & 28 & p & midsize \\\\\n",
"\t volkswagen & passat & 2.0 & 2008 & 4 & manual(m6) & f & 21 & 29 & p & midsize \\\\\n",
"\t volkswagen & passat & 2.8 & 1999 & 6 & auto(l5) & f & 16 & 26 & p & midsize \\\\\n",
"\t volkswagen & passat & 2.8 & 1999 & 6 & manual(m5) & f & 18 & 26 & p & midsize \\\\\n",
"\t volkswagen & passat & 3.6 & 2008 & 6 & auto(s6) & f & 17 & 26 & p & midsize \\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"manufacturer | model | displ | year | cyl | trans | drv | cty | hwy | fl | class | \n",
"|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
"| audi | a4 | 1.8 | 1999 | 4 | auto(l5) | f | 18 | 29 | p | compact | \n",
"| audi | a4 | 1.8 | 1999 | 4 | manual(m5) | f | 21 | 29 | p | compact | \n",
"| audi | a4 | 2.0 | 2008 | 4 | manual(m6) | f | 20 | 31 | p | compact | \n",
"| audi | a4 | 2.0 | 2008 | 4 | auto(av) | f | 21 | 30 | p | compact | \n",
"| audi | a4 | 2.8 | 1999 | 6 | auto(l5) | f | 16 | 26 | p | compact | \n",
"| audi | a4 | 2.8 | 1999 | 6 | manual(m5) | f | 18 | 26 | p | compact | \n",
"| audi | a4 | 3.1 | 2008 | 6 | auto(av) | f | 18 | 27 | p | compact | \n",
"| audi | a4 quattro | 1.8 | 1999 | 4 | manual(m5) | 4 | 18 | 26 | p | compact | \n",
"| audi | a4 quattro | 1.8 | 1999 | 4 | auto(l5) | 4 | 16 | 25 | p | compact | \n",
"| audi | a4 quattro | 2.0 | 2008 | 4 | manual(m6) | 4 | 20 | 28 | p | compact | \n",
"| audi | a4 quattro | 2.0 | 2008 | 4 | auto(s6) | 4 | 19 | 27 | p | compact | \n",
"| audi | a4 quattro | 2.8 | 1999 | 6 | auto(l5) | 4 | 15 | 25 | p | compact | \n",
"| audi | a4 quattro | 2.8 | 1999 | 6 | manual(m5) | 4 | 17 | 25 | p | compact | \n",
"| audi | a4 quattro | 3.1 | 2008 | 6 | auto(s6) | 4 | 17 | 25 | p | compact | \n",
"| audi | a4 quattro | 3.1 | 2008 | 6 | manual(m6) | 4 | 15 | 25 | p | compact | \n",
"| audi | a6 quattro | 2.8 | 1999 | 6 | auto(l5) | 4 | 15 | 24 | p | midsize | \n",
"| audi | a6 quattro | 3.1 | 2008 | 6 | auto(s6) | 4 | 17 | 25 | p | midsize | \n",
"| audi | a6 quattro | 4.2 | 2008 | 8 | auto(s6) | 4 | 16 | 23 | p | midsize | \n",
"| chevrolet | c1500 suburban 2wd | 5.3 | 2008 | 8 | auto(l4) | r | 14 | 20 | r | suv | \n",
"| chevrolet | c1500 suburban 2wd | 5.3 | 2008 | 8 | auto(l4) | r | 11 | 15 | e | suv | \n",
"| chevrolet | c1500 suburban 2wd | 5.3 | 2008 | 8 | auto(l4) | r | 14 | 20 | r | suv | \n",
"| chevrolet | c1500 suburban 2wd | 5.7 | 1999 | 8 | auto(l4) | r | 13 | 17 | r | suv | \n",
"| chevrolet | c1500 suburban 2wd | 6.0 | 2008 | 8 | auto(l4) | r | 12 | 17 | r | suv | \n",
"| chevrolet | corvette | 5.7 | 1999 | 8 | manual(m6) | r | 16 | 26 | p | 2seater | \n",
"| chevrolet | corvette | 5.7 | 1999 | 8 | auto(l4) | r | 15 | 23 | p | 2seater | \n",
"| chevrolet | corvette | 6.2 | 2008 | 8 | manual(m6) | r | 16 | 26 | p | 2seater | \n",
"| chevrolet | corvette | 6.2 | 2008 | 8 | auto(s6) | r | 15 | 25 | p | 2seater | \n",
"| chevrolet | corvette | 7.0 | 2008 | 8 | manual(m6) | r | 15 | 24 | p | 2seater | \n",
"| chevrolet | k1500 tahoe 4wd | 5.3 | 2008 | 8 | auto(l4) | 4 | 14 | 19 | r | suv | \n",
"| chevrolet | k1500 tahoe 4wd | 5.3 | 2008 | 8 | auto(l4) | 4 | 11 | 14 | e | suv | \n",
"| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | \n",
"| toyota | toyota tacoma 4wd | 3.4 | 1999 | 6 | auto(l4) | 4 | 15 | 19 | r | pickup | \n",
"| toyota | toyota tacoma 4wd | 4.0 | 2008 | 6 | manual(m6) | 4 | 15 | 18 | r | pickup | \n",
"| toyota | toyota tacoma 4wd | 4.0 | 2008 | 6 | auto(l5) | 4 | 16 | 20 | r | pickup | \n",
"| volkswagen | gti | 2.0 | 1999 | 4 | manual(m5) | f | 21 | 29 | r | compact | \n",
"| volkswagen | gti | 2.0 | 1999 | 4 | auto(l4) | f | 19 | 26 | r | compact | \n",
"| volkswagen | gti | 2.0 | 2008 | 4 | manual(m6) | f | 21 | 29 | p | compact | \n",
"| volkswagen | gti | 2.0 | 2008 | 4 | auto(s6) | f | 22 | 29 | p | compact | \n",
"| volkswagen | gti | 2.8 | 1999 | 6 | manual(m5) | f | 17 | 24 | r | compact | \n",
"| volkswagen | jetta | 1.9 | 1999 | 4 | manual(m5) | f | 33 | 44 | d | compact | \n",
"| volkswagen | jetta | 2.0 | 1999 | 4 | manual(m5) | f | 21 | 29 | r | compact | \n",
"| volkswagen | jetta | 2.0 | 1999 | 4 | auto(l4) | f | 19 | 26 | r | compact | \n",
"| volkswagen | jetta | 2.0 | 2008 | 4 | auto(s6) | f | 22 | 29 | p | compact | \n",
"| volkswagen | jetta | 2.0 | 2008 | 4 | manual(m6) | f | 21 | 29 | p | compact | \n",
"| volkswagen | jetta | 2.5 | 2008 | 5 | auto(s6) | f | 21 | 29 | r | compact | \n",
"| volkswagen | jetta | 2.5 | 2008 | 5 | manual(m5) | f | 21 | 29 | r | compact | \n",
"| volkswagen | jetta | 2.8 | 1999 | 6 | auto(l4) | f | 16 | 23 | r | compact | \n",
"| volkswagen | jetta | 2.8 | 1999 | 6 | manual(m5) | f | 17 | 24 | r | compact | \n",
"| volkswagen | new beetle | 1.9 | 1999 | 4 | manual(m5) | f | 35 | 44 | d | subcompact | \n",
"| volkswagen | new beetle | 1.9 | 1999 | 4 | auto(l4) | f | 29 | 41 | d | subcompact | \n",
"| volkswagen | new beetle | 2.0 | 1999 | 4 | manual(m5) | f | 21 | 29 | r | subcompact | \n",
"| volkswagen | new beetle | 2.0 | 1999 | 4 | auto(l4) | f | 19 | 26 | r | subcompact | \n",
"| volkswagen | new beetle | 2.5 | 2008 | 5 | manual(m5) | f | 20 | 28 | r | subcompact | \n",
"| volkswagen | new beetle | 2.5 | 2008 | 5 | auto(s6) | f | 20 | 29 | r | subcompact | \n",
"| volkswagen | passat | 1.8 | 1999 | 4 | manual(m5) | f | 21 | 29 | p | midsize | \n",
"| volkswagen | passat | 1.8 | 1999 | 4 | auto(l5) | f | 18 | 29 | p | midsize | \n",
"| volkswagen | passat | 2.0 | 2008 | 4 | auto(s6) | f | 19 | 28 | p | midsize | \n",
"| volkswagen | passat | 2.0 | 2008 | 4 | manual(m6) | f | 21 | 29 | p | midsize | \n",
"| volkswagen | passat | 2.8 | 1999 | 6 | auto(l5) | f | 16 | 26 | p | midsize | \n",
"| volkswagen | passat | 2.8 | 1999 | 6 | manual(m5) | f | 18 | 26 | p | midsize | \n",
"| volkswagen | passat | 3.6 | 2008 | 6 | auto(s6) | f | 17 | 26 | p | midsize | \n",
"\n",
"\n"
],
"text/plain": [
" manufacturer model displ year cyl trans drv cty hwy fl\n",
"1 audi a4 1.8 1999 4 auto(l5) f 18 29 p \n",
"2 audi a4 1.8 1999 4 manual(m5) f 21 29 p \n",
"3 audi a4 2.0 2008 4 manual(m6) f 20 31 p \n",
"4 audi a4 2.0 2008 4 auto(av) f 21 30 p \n",
"5 audi a4 2.8 1999 6 auto(l5) f 16 26 p \n",
"6 audi a4 2.8 1999 6 manual(m5) f 18 26 p \n",
"7 audi a4 3.1 2008 6 auto(av) f 18 27 p \n",
"8 audi a4 quattro 1.8 1999 4 manual(m5) 4 18 26 p \n",
"9 audi a4 quattro 1.8 1999 4 auto(l5) 4 16 25 p \n",
"10 audi a4 quattro 2.0 2008 4 manual(m6) 4 20 28 p \n",
"11 audi a4 quattro 2.0 2008 4 auto(s6) 4 19 27 p \n",
"12 audi a4 quattro 2.8 1999 6 auto(l5) 4 15 25 p \n",
"13 audi a4 quattro 2.8 1999 6 manual(m5) 4 17 25 p \n",
"14 audi a4 quattro 3.1 2008 6 auto(s6) 4 17 25 p \n",
"15 audi a4 quattro 3.1 2008 6 manual(m6) 4 15 25 p \n",
"16 audi a6 quattro 2.8 1999 6 auto(l5) 4 15 24 p \n",
"17 audi a6 quattro 3.1 2008 6 auto(s6) 4 17 25 p \n",
"18 audi a6 quattro 4.2 2008 8 auto(s6) 4 16 23 p \n",
"19 chevrolet c1500 suburban 2wd 5.3 2008 8 auto(l4) r 14 20 r \n",
"20 chevrolet c1500 suburban 2wd 5.3 2008 8 auto(l4) r 11 15 e \n",
"21 chevrolet c1500 suburban 2wd 5.3 2008 8 auto(l4) r 14 20 r \n",
"22 chevrolet c1500 suburban 2wd 5.7 1999 8 auto(l4) r 13 17 r \n",
"23 chevrolet c1500 suburban 2wd 6.0 2008 8 auto(l4) r 12 17 r \n",
"24 chevrolet corvette 5.7 1999 8 manual(m6) r 16 26 p \n",
"25 chevrolet corvette 5.7 1999 8 auto(l4) r 15 23 p \n",
"26 chevrolet corvette 6.2 2008 8 manual(m6) r 16 26 p \n",
"27 chevrolet corvette 6.2 2008 8 auto(s6) r 15 25 p \n",
"28 chevrolet corvette 7.0 2008 8 manual(m6) r 15 24 p \n",
"29 chevrolet k1500 tahoe 4wd 5.3 2008 8 auto(l4) 4 14 19 r \n",
"30 chevrolet k1500 tahoe 4wd 5.3 2008 8 auto(l4) 4 11 14 e \n",
"⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ \n",
"205 toyota toyota tacoma 4wd 3.4 1999 6 auto(l4) 4 15 19 r \n",
"206 toyota toyota tacoma 4wd 4.0 2008 6 manual(m6) 4 15 18 r \n",
"207 toyota toyota tacoma 4wd 4.0 2008 6 auto(l5) 4 16 20 r \n",
"208 volkswagen gti 2.0 1999 4 manual(m5) f 21 29 r \n",
"209 volkswagen gti 2.0 1999 4 auto(l4) f 19 26 r \n",
"210 volkswagen gti 2.0 2008 4 manual(m6) f 21 29 p \n",
"211 volkswagen gti 2.0 2008 4 auto(s6) f 22 29 p \n",
"212 volkswagen gti 2.8 1999 6 manual(m5) f 17 24 r \n",
"213 volkswagen jetta 1.9 1999 4 manual(m5) f 33 44 d \n",
"214 volkswagen jetta 2.0 1999 4 manual(m5) f 21 29 r \n",
"215 volkswagen jetta 2.0 1999 4 auto(l4) f 19 26 r \n",
"216 volkswagen jetta 2.0 2008 4 auto(s6) f 22 29 p \n",
"217 volkswagen jetta 2.0 2008 4 manual(m6) f 21 29 p \n",
"218 volkswagen jetta 2.5 2008 5 auto(s6) f 21 29 r \n",
"219 volkswagen jetta 2.5 2008 5 manual(m5) f 21 29 r \n",
"220 volkswagen jetta 2.8 1999 6 auto(l4) f 16 23 r \n",
"221 volkswagen jetta 2.8 1999 6 manual(m5) f 17 24 r \n",
"222 volkswagen new beetle 1.9 1999 4 manual(m5) f 35 44 d \n",
"223 volkswagen new beetle 1.9 1999 4 auto(l4) f 29 41 d \n",
"224 volkswagen new beetle 2.0 1999 4 manual(m5) f 21 29 r \n",
"225 volkswagen new beetle 2.0 1999 4 auto(l4) f 19 26 r \n",
"226 volkswagen new beetle 2.5 2008 5 manual(m5) f 20 28 r \n",
"227 volkswagen new beetle 2.5 2008 5 auto(s6) f 20 29 r \n",
"228 volkswagen passat 1.8 1999 4 manual(m5) f 21 29 p \n",
"229 volkswagen passat 1.8 1999 4 auto(l5) f 18 29 p \n",
"230 volkswagen passat 2.0 2008 4 auto(s6) f 19 28 p \n",
"231 volkswagen passat 2.0 2008 4 manual(m6) f 21 29 p \n",
"232 volkswagen passat 2.8 1999 6 auto(l5) f 16 26 p \n",
"233 volkswagen passat 2.8 1999 6 manual(m5) f 18 26 p \n",
"234 volkswagen passat 3.6 2008 6 auto(s6) f 17 26 p \n",
" class \n",
"1 compact \n",
"2 compact \n",
"3 compact \n",
"4 compact \n",
"5 compact \n",
"6 compact \n",
"7 compact \n",
"8 compact \n",
"9 compact \n",
"10 compact \n",
"11 compact \n",
"12 compact \n",
"13 compact \n",
"14 compact \n",
"15 compact \n",
"16 midsize \n",
"17 midsize \n",
"18 midsize \n",
"19 suv \n",
"20 suv \n",
"21 suv \n",
"22 suv \n",
"23 suv \n",
"24 2seater \n",
"25 2seater \n",
"26 2seater \n",
"27 2seater \n",
"28 2seater \n",
"29 suv \n",
"30 suv \n",
"⋮ ⋮ \n",
"205 pickup \n",
"206 pickup \n",
"207 pickup \n",
"208 compact \n",
"209 compact \n",
"210 compact \n",
"211 compact \n",
"212 compact \n",
"213 compact \n",
"214 compact \n",
"215 compact \n",
"216 compact \n",
"217 compact \n",
"218 compact \n",
"219 compact \n",
"220 compact \n",
"221 compact \n",
"222 subcompact\n",
"223 subcompact\n",
"224 subcompact\n",
"225 subcompact\n",
"226 subcompact\n",
"227 subcompact\n",
"228 midsize \n",
"229 midsize \n",
"230 midsize \n",
"231 midsize \n",
"232 midsize \n",
"233 midsize \n",
"234 midsize "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"mpg"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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PWb9+/Zw/fSaFU+CNN96wO++806ZNm2arV68OJwK1RgABBBBAIMsF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\nsfJIdDm1Td+iRYuYk+hdB6+S3GKlj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QQAABBBBAwAMCBEge6ASqgAACCCCAAAII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\nBBBAAAEEEEDAVwIESL7qbhqLAAIIIIAAAggggAACkQQIkCLpkIcAAggggAA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K0W+u6Ll+fyUe6bfffnN+7yse+2afCCCAAALeECBA8kY/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\nAdh5OH9HvUfUAAAAAElFTkSuQmCC",
"text/plain": [
"plot without title"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy))"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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jsBgbSzNIkAAQIECBAgQIAAgbiAQIof\n0PoECBAgQIAAAQIECOwEBNLO0iQCBAgQIECAAAECBOICAil+QOsTIECAAAECBAgQILATEEg7\nS5MIECBAgAABAgQIEIgLCKT4Aa1PgAABAgQIECBAgMBOQCDtLE0iQIAAAQIECBAgQCAuIJDi\nB7Q+AQIECBAgQIAAAQI7AYG0szSJAAECBAgQIECAAIG4gECKH9D6BAgQIECAAAECBAjsBATS\nztIkAgQIECBAgAABAgTiAgIpfkDrEyBAgAABAgQIECCwExBIO0uTCBAgQIAAAQIECBCICwik\n+AGtT4AAAQIECBAgQIDATkAg7SxNIkCAAAECBAgQIEAgLiCQ4ge0PgECBAgQIECAAAECOwGB\ntLM0iQABAgQIECBAgACBuIBAih/Q+gQIECBAgAABAgQI7AQE0s7SJAIECBAgQIAAAQIE4gIC\nKX5A6xMgQIAAAQIECBAgsBMQSDtLkwgQIECAAAECBAgQiAsIpPgBrU+AAAECBAgQIECAwE5A\nIO0sTSJAgAABAgQIECBAIC4gkOIHtD4BAgQIECBAgAABAjsBgbSzNIkAAQIECBAgQIAAgbiA\nQIof0PoECBAgQIAAAQIECOwEBNLO0iQCBAgQIECAAAECBOICAil+QOsTIECAAAECBAgQILAT\nEEg7S5MIECBAgAABAgQIEIgLCKT4Aa1PgAABAgQIECBAgMBOQCDtLE0iQIAAAQIECBAgQCAu\nIJDiB7Q+AQIECBAgQIAAAQI7AYG0szSJAAECBAgQIECAAIG4gECKH9D6BAgQIECAAAECBAjs\nBATSztIkAgQIECBAgAABAgTiAgIpfkDrEyBAgAABAgQIECCwExBIO0uTCBAgQIAAAQIECBCI\nCwik+AGtT4AAAQIECBAgQIDATkAg7SxNIkCAAAECBAgQIEAgLiCQ4ge0PgECBAgQIECAAAEC\nOwGBtLM0iQABAgQIECBAgACBuIBAih/Q+gQIECBAgAABAgQI7AQE0s7SJAIECBAgQIAAAQIE\n4gICKX5A6xMgQIAAAQIECBAgsBMQSDtLkwgQIECAAAECBAgQiAsIpPgBrU+AAAECBAgQIECA\nwE5AIO0sTSJAgAABAgQIECBAIC4gkOIHtD4BAgQIECBAgAABAjsBgbSzNIkAAQIECBAgQIAA\ngbiAQIof0PoECBAgQIAAAQIECOwEBNLO0iQCBAgQIECAAAECBOICAil+QOsTIECAAAECBAgQ\nILATEEg7S5MIECBAgAABAgQIEIgLCKT4Aa1PgAABAgQIECBAgMBOQCDtLE0iQIAAAQIECBAg\nQCAuIJDiB7Q+AQIECBAgQIAAAQI7AYG0szSJAAECBAgQIECAAIG4gECKH9D6BAgQIECAAAEC\nBAjsBATSztIkAgQIECBAgAABAgTiAgIpfkDrEyBAgAABAgQIECCwExBIO0uTCBAgQIAAAQIE\nCBCICwik+AGtT4AAAQIECBAgQIDATkAg7SxNIkCAAAECBAgQIEAgLiCQ4ge0PgECBAgQIECA\nAAECOwGBtLM0iQABAgQIECBAgACBuIBAih/Q+gQIECBAgAABAgQI7AQE0s7SJAIECBAgQIAA\nAQIE4gICKX5A6xMgQIAAAQIECBAgsBMQSDtLkwgQIECAAAECBAgQiAsIpPgBrU+AAAECBAgQ\nIECAwE5AIO0sTSJAgAABAgQIECBAIC4gkOIHtD4BAgQIECBAgAABAjsBgbSzNIkAAQIECBAg\nQIAAgbiAQIof0PoECBAgQIAAAQIECOwEBNLO0iQCBAgQIECAAAECBOICAil+QOsTIECAAAEC\nBAgQILATEEg7S5MIECBAgAABAgQIEIgLCKT4Aa1PgAABAgQIECBAgMBOQCDtLE0iQIAAAQIE\nCBAgQCAuIJDiB7Q+AQIECBAgQIAAAQI7AYG0szSJAAECBAgQIECAAIG4gECKH9D6BAgQIECA\nAAECBAjsBATSztIkAgQIECBAgAABAgTiAgIpfkDrEyBAgAABAgQIECCwExBIO0uTCBAgQIAA\nAQIECBCICwik+AGtT4AAAQIECBAgQIDATkAg7SxNIkCAAAECBAgQIEAgLiCQ4ge0PgECBAgQ\nIECAAAECOwGBtLM0iQABAgQIECBAgACBuIBAih/Q+gQIECBAgAABAgQI7AQE0s7SJAIECBAg\nQIAAAQIE4gICKX5A6xMgQIAAAQIECBAgsBMQSDtLkwgQIECAAAECBAgQiAsIpPgBrU+AAAEC\nBAgQIECAwE5AIO0sTSJAgAABAgQIECBAIC4gkOIHtD4BAgQIECBAgAABAjsBgbSzNIkAAQIE\nCBAgQIAAgbiAQIof0PoECBAgQIAAAQIECOwEBNLO0iQCBAgQIECAAAECBOICAil+QOsTIECA\nAAECBAgQILATEEg7S5MIECBAgAABAgQIEIgLCKT4Aa1PgAABAgQIECBAgMBOQCDtLE0iQIAA\nAQIECBAgQCAuIJDiB7Q+AQIECBAgQIAAAQI7AYG0szSJAAECBAgQIECAAIG4gECKH9D6BAgQ\nIECAAAECBAjsBATSztIkAgQIECBAgAABAgTiAgIpfkDrEyBAgAABAgQIECCwExBIO0uTCBAg\nQIAAAQIECBCICwik+AGtT4AAAQIECBAgQIDATkAg7SxNIkCAAAECBAgQIEAgLiCQ4ge0PgEC\nBAgQIECAAAECOwGBtLM0iQABAgQIECBAgACBuIBAih/Q+gQIECBAgAABAgQI7AQE0s7SJAIE\nCBAgQIAAAQIE4gICKX5A6xMgQIAAAQIECBAgsBMQSDtLkwgQIECAAAECBAgQiAsIpPgBrU+A\nAAECBAgQIECAwE5AIO0sTSJAgAABAgQIECBAIC4gkOIHtD4BAgQIECBAgAABAjsBgbSzNIkA\nAQIECBAgQIAAgbiAQIof0PoECBAgQIAAAQIECOwEBNLO0iQCBAgQIECAAAECBOICAil+QOsT\nIECAAAECBAgQILATEEg7S5MIECBAgAABAgQIEIgLCKT4Aa1PgAABAgQIECBAgMBOQCDtLE0i\nQIAAAQIECBAgQCAuIJDiB7Q+AQIECBAgQIAAAQI7AYG0szSJAAECBAgQIECAAIG4gECKH9D6\nBAgQIECAAAECBAjsBATSztIkAgQIECBAgAABAgTiAgIpfkDrEyBAgAABAgQIECCwExBIO0uT\nCBAgQIAAAQIECBCICwik+AGtT4AAAQIECBAgQIDATkAg7SxNIkCAAAECBAgQIEAgLiCQ4ge0\nPgECBAgQIECAAAECOwGBtLM0iQABAgQIECBAgACBuIBAih/Q+gQIECBAgAABAgQI7AQE0s7S\nJAIECBAgQIAAAQIE4gICKX5A6xMgQIAAAQIECBAgsBMQSDtLkwgQIECAAAECBAgQiAsIpPgB\nrU+AAAECBAgQIECAwE5AIO0sTSJAgAABAgQIECBAIC4gkOIHtD4BAgQIECBAgAABAjsBgbSz\nNIkAAQIECBAgQIAAgbiAQIof0PoECBAgQIAAAQIECOwEBNLO0iQCBAgQIECAAAECBOICAil+\nQOsTIECAAAECBAgQILATEEg7S5MIECBAgAABAgQIEIgLCKT4Aa1PgAABAgQIECBAgMBOQCDt\nLE0iQIAAAQIECBAgQCAuIJDiB7Q+AQIECBAgQIAAAQI7AYG0szSJAAECBAgQIECAAIG4gECK\nH9D6BAgQIECAAAECBAjsBATSztIkAgQIECBAgAABAgTiAgIpfkDrEyBAgAABAgQIECCwExBI\nO0uTCBAgQIAAAQIECBCICwik+AGtT4AAAQIECBAgQIDATkAg7SxNIkCAAAECBAgQIEAgLiCQ\n4ge0PgECBAgQIECAAAECOwGBtLM0iQABAgQIECBAgACBuIBAih/Q+gQIECBAgAABAgQI7AQE\n0s7SJAIECBAgQIAAAQIE4gICKX5A6xMgQIAAAQIECBAgsBMQSDtLkwgQIECAAAECBAgQiAsI\npPgBrU+AAAECBAgQIECAwE5AIO0sTSJAgAABAgQIECBAIC4gkOIHtD4BAgQIECBAgAABAjsB\ngbSzNIkAAQIECBAgQIAAgbiAQIof0PoECBAgQIAAAQIECOwEBNLO0iQCBAgQIECAAAECBOIC\nAil+QOsTIECAAAECBAgQILATEEg7S5MIECBAgAABAgQIEIgLCKT4Aa1PgAABAgQIECBAgMBO\nQCDtLE0iQIAAAQIECBAgQCAuIJDiB7Q+AQIECBAgQIAAAQI7AYG0szSJAAECBAgQIECAAIG4\ngECKH9D6BAgQIECAAAECBAjsBATSztIkAgQIECBAgAABAgTiAgIpfkDrEyBAgAABAgQIECCw\nExBIO0uTCBAgQIAAAQIECBCICwik+AGtT4AAAQIECBAgQIDATkAg7SxNIkCAAAECBAgQIEAg\nLiCQ4ge0PgECBAgQIECAAAECOwGBtLM0iQABAgQIECBAgACBuIBAih/Q+gQIECBAgAABAgQI\n7AQE0s7SJAIECBAgQIAAAQIE4gICKX5A6xMgQIAAAQIECBAgsBMQSDtLkwgQIECAAAECBAgQ\niAsIpPgBrU+AAAECBAgQIECAwE5AIO0sTSJAgAABAgQIECBAIC4gkOIHtD4BAgQIECBAgAAB\nAjsBgbSzNIkAAQIECBAgQIAAgbiAQIof0PoECBAgQIAAAQIECOwEBNLO0iQCBAgQIECAAAEC\nBOICAil+QOsTIECAAAECBAgQILATEEg7S5MIECBAgAABAgQIEIgLCKT4Aa1PgAABAgQIECBA\ngMBOQCDtLE0iQIAAAQIECBAgQCAuIJDiB7Q+AQIECBAgQIAAAQI7AYG0szSJAAECBAgQIECA\nAIG4gECKH9D6BAgQIECAAAECBAjsBATSztIkAgQIECBAgAABAgTiAgIpfkDrEyBAgAABAgQI\nECCwExBIO0uTCBAgQIAAAQIECBCICwik+AGtT4AAAQIECBAgQIDATkAg7SxNIkCAAAECBAgQ\nIEAgLiCQ4ge0PgECBAgQIECAAAECOwGBtLM0iQABAgQIECBAgACBuIBAih/Q+gQIECBAgAAB\nAgQI7AQE0s7SJAIECBAgQIAAAQIE4gICKX5A6xMgQIAAAQIECBAgsBMQSDtLkwgQIECAAAEC\nBAgQiAsIpPgBrU+AAAECBAgQIECAwE5AIO0sTSJAgAABAgQIECBAIC4gkOIHtD4BAgQIECBA\ngAABAjsBgbSzNIkAAQIECBAgQIAAgbiAQIof0PoECBAgQIAAAQIECOwEBNLO0iQCBAgQIECA\nAAECBOICAil+QOsTIECAAAECBAgQILATEEg7S5MIECBAgAABAgQIEIgLCKT4Aa1PgAABAgQI\nECBAgMBOQCDtLE0iQIAAAQIECBAgQCAuIJDiB7Q+AQIECBAgQIAAAQI7AYG0szSJAAECBAgQ\nIECAAIG4gECKH9D6BAgQIECAAAECBAjsBATSztIkAgQIECBAgAABAgTiAgIpfkDrEyBAgAAB\nAgQIECCwExBIO0uTCBAgQIAAAQIECBCICwik+AGtT4AAAQIECBAgQIDATkAg7SxNIkCAAAEC\nBAgQIEAgLiCQ4ge0PgECBAgQIECAAAECOwGBtLM0iQABAgQIECBAgACBuIBAih/Q+gQIECBA\ngAABAgQI7AQE0s7SJAIECBAgQIAAAQIE4gICKX5A6xMgQIAAAQIECBAgsBMQSDtLkwgQIECA\nAAECBAgQiAsIpPgBrU+AAAECBAgQIECAwE5AIO0sTSJAgAABAgQIECBAIC4gkOIHtD4BAgQI\nECBAgAABAjsBgbSzNIkAAQIECBAgQIAAgbiAQIof0PoECBAgQIAAAQIECOwEBNLO0iQCBAgQ\nIECAAAECBOICAil+QOsTIECAAAECBAgQILATEEg7S5MIECBAgAABAgQIEIgLCKT4Aa1PgAAB\nAgQIECBAgMBOQCDtLE0iQIAAAQIECBAgQCAuIJDiB7Q+AQIECBAgQIAAAQI7AYG0szSJAAEC\nBAgQIECAAIG4gECKH9D6BAgQIECAAAECBAjsBATSztIkAgQIECBAgAABAgTiAgIpfkDrEyBA\ngAABAgQIECCwExBIO0uTCBAgQIAAAQIECBCICwik+AGtT4AAAQIECBAgQIDATkAg7SxNIkCA\nAAECBAgQIEAgLiCQ4ge0PgECBAgQIECAAAECOwGBtLM0iQABAgQIECBAgACBuIBAih/Q+gQI\nECBAgAABAgQI7AQE0s7SJAIECBAgQIAAAQIE4gICKX5A6xMgQIAAAQIECBAgsBMQSDtLkwgQ\nIECAAAECBAgQiAsIpPgBrU+AAAECBAgQIECAwE5AIO0sTSJAgAABAgQIECBAIC4gkOIHtD4B\nAgQIECBAgAABAjsBgbSzNIkAAQIECBAgQIAAgbiAQIof0PoECBAgQIAAAQIECOwEBNLO0iQC\nBAgQIECAAAECBOICAil+QOsTIECAAAECBAgQILATEEg7S5MIECBAgAABAgQIEIgLCKT4Aa1P\ngAABAgQIECBAgMBOQCDtLE0iQIAAAQIECBAgQCAuIJDiB7Q+AQIECBAgQIAAAQI7AYG0szSJ\nAAECBAgQIECAAIG4gECKH9D6BAgQIECAAAECBAjsBATSztIkAgQIECBAgAABAgTiAgIpfkDr\nEyBAgAABAgQIECCwExBIO0uTCBAgQIAAAQIECBCICwik+AGtT4AAAQIECBAgQIDATkAg7SxN\nIkCAAAECBAgQIEAgLiCQ4ge0PgECBAgQIECAAAECOwGBtLM0iQABAgQIECBAgACBuIBAih/Q\n+gQIECBAgAABAgQI7AQE0s7SJAIECBAgQIAAAQIE4gICKX5A6xMgQIAAAQIECBAgsBMQSDtL\nkwgQIECAAAECBAgQiAsIpPgBrU+AAAECBAgQIECAwE5AIO0sTSJAgAABAgQIECBAIC4gkOIH\ntD4BAgQIECBAgAABAjsBgbSzNIkAAQIECBAgQIAAgbiAQIof0PoECBAgQIAAAQIECOwEBNLO\n0iQCBAgQIECAAAECBOICAil+QOsTIECAAAECBAgQILATEEg7S5MIECBAgAABAgQIEIgLCKT4\nAa1PgAABAgQIECBAgMBOQCDtLE0iQIAAAQIECBAgQCAuIJDiB7Q+AQIECBAgQIAAAQI7AYG0\nszSJAAECBAgQIECAAIG4gECKH9D6BAgQIECAAAECBAjsBATSztIkAgQIECBAgAABAgTiAgIp\nfkDrEyBAgAABAgQIECCwExBIO0uTCBAgQIAAAQIECBCICwik+AGtT4AAAQIECBAgQIDATkAg\n7SxNIkCAAAECBAgQIEAgLiCQ4ge0PgECBAgQIECAAAECOwGBtLM0iQABAgQIECBAgACBuIBA\nih/Q+gQIECBAgAABAgQI7AQE0s7SJAIECBAgQIAAAQIE4gICKX5A6xMgQIAAAQIECBAgsBMQ\nSDtLkwgQIECAAAECBAgQiAsIpPgBrU+AAAECBAgQIECAwE5AIO0sTSJAgAABAgQIECBAIC4g\nkOIHtD4BAgQIECBAgAABAjsBgbSzNIkAAQIECBAgQIAAgbiAQIof0PoECBAgQIAAAQIECOwE\nBNLO0iQCBAgQIECAAAECBOICAil+QOsTIECAAAECBAgQILATEEg7S5MIECBAgAABAgQIEIgL\nCKT4Aa1PgAABAgQIECBAgMBOQCDtLE0iQIAAAQIECBAgQCAuIJDiB7Q+AQIECBAgQIAAAQI7\nAYG0szSJAAECBAgQIECAAIG4gECKH9D6BAgQIECAAAECBAjsBATSztIkAgQIECBAgAABAgTi\nAgIpfkDrEyBAgAABAgQIECCwExBIO0uTCBAgQIAAAQIECBCICwik+AGtT4AAAQIECBAgQIDA\nTkAg7SxNIkCAAAECBAgQIEAgLiCQ4ge0PgECBAgQIECAAAECOwGBtLM0iQABAgQIECBAgACB\nuIBAih/Q+gQIECBAgAABAgQI7AQE0s7SJAIECBAgQIAAAQIE4gICKX5A6xMgQIAAAQIECBAg\nsBMQSDtLkwgQIECAAAECBAgQiAsIpPgBrU+AAAECBAgQIECAwE5AIO0sTSJAgAABAgQIECBA\nIC4gkOIHtD4BAgQIECBAgAABAjsBgbSzNIkAAQIECBAgQIAAgbiAQIof0PoECBAgQIAAAQIE\nCOwEBNLO0iQCBAgQIECAAAECBOICAil+QOsTIECAAAECBAgQILATEEg7S5MIECBAgAABAgQI\nEIgLCKT4Aa1PgAABAgQIECBAgMBOQCDtLE0iQIAAAQIECBAgQCAuIJDiB7Q+AQIECBAgQIAA\nAQI7AYG0szSJAAECBAgQIECAAIG4gECKH9D6BAgQIECAAAECBAjsBATSztIkAgQIECBAgAAB\nAgTiAgIpfkDrEyBAgAABAgQIECCwExBIO0uTCBAgQIAAAQIECBCICwik+AGtT4AAAQIECBAg\nQIDATkAg7SxNIkCAAAECBAgQIEAgLiCQ4ge0PgECBAgQIECAAAECOwGBtLM0iQABAgQIECBA\ngACBuIBAih/Q+gQIECBAgAABAgQI7AQE0s7SJAIECBAgQIAAAQIE4gICKX5A6xMgQIAAAQIE\nCBAgsBMQSDtLkwgQIECAAAECBAgQiAsIpPgBrU+AAAECBAgQIECAwE5AIO0sTSJAgAABAgQI\nECBAIC4gkOIHtD4BAgQIECBAgAABAjsBgbSzNIkAAQIECBAgQIAAgbiAQIof0PoECBAgQIAA\nAQIECOwEBNLO0iQCBAgQIECAAAECBOICAil+QOsTIECAAAECBAgQILATEEg7S5MIECBAgAAB\nAgQIEIgLCKT4Aa1PgAABAgQIECBAgMBOQCDtLE0iQIAAAQIECBAgQCAuIJDiB7Q+AQIECBAg\nQIAAAQI7AYG0szSJAAECBAgQIECAAIG4gECKH9D6BAgQIECAAAECBAjsBATSztIkAgQIECBA\ngAABAgTiAgIpfkDrEyBAgAABAgQIECCwExBIO0uTCBAgQIAAAQIECBCICwik+AGtT4AAAQIE\nCBAgQIDATkAg7SxNIkCAAAECBAgQIEAgLiCQ4ge0PgECBAgQIECAAAECOwGBtLM0iQABAgQI\nECBAgACBuIBAih/Q+gQIECBAgAABAgQI7AQE0s7SJAIECBAgQIAAAQIE4gICKX5A6xMgQIAA\nAQIECBAgsBMQSDtLkwgQIECAAAECBAgQiAsIpPgBrU+AAAECBAgQIECAwE5AIO0sTSJAgAAB\nAgQIECBAIC4gkOIHtD4BAgQIECBAgAABAjsBgbSzNIkAAQIECBAgQIAAgbiAQIof0PoECBAg\nQIAAAQIECOwEBNLO0iQCBAgQIECAAAECBOICAil+QOsTIECAAAECBAgQILATEEg7S5MIECBA\ngAABAgQIEIgLCKT4Aa1PgAABAgQIECBAgMBOQCDtLE0iQIAAAQIECBAgQCAuIJDiB7Q+AQIE\nCBAgQIAAAQI7AYG0szSJAAECBAgQIECAAIG4gECKH9D6BAgQIECAAAECBAjsBATSztIkAgQI\nECBAgAABAgTiAgIpfkDrEyBAgAABAgQIECCwExBIO0uTCBAgQIAAAQIECBCICwik+AGtT4AA\nAQIECBAgQIDATkAg7SxNIkCAAAECBAgQIEAgLiCQ4ge0PgECBAgQIECAAAECOwGBtLM0iQAB\nAgQIECBAgACBuIBAih/Q+gQIECBAgAABAgQI7AQE0s7SJAIECBAgQIAAAQIE4gICKX5A6xMg\nQIAAAQIECBAgsBMQSDtLkwgQIECAAAECBAgQiAsIpPgBrU+AAAECBAgQIECAwE5AIO0sTSJA\ngAABAgQIECBAIC4gkOIHtD4BAgQIECBAgAABAjsBgbSzNIkAAQIECBAgQIAAgbiAQIof0PoE\nCBAgQIAAAQIECOwEBNLO0iQCBAgQIECAAAECBOICAil+QOsTIECAAAECBAgQILATEEg7S5MI\nECBAgAABAgQIEIgLCKT4Aa1PgAABAgQIECBAgMBOQCDtLE0iQIAAAQIECBAgQCAuIJDiB7Q+\nAQIECBAgQIAAAQI7AYG0szSJAAECBAgQIECAAIG4gECKH9D6BAgQIECAAAECBAjsBATSztIk\nAgQIECBAgAABAgTiAgIpfkDrEyBAgAABAgQIECCwExBIO0uTCBAgQIAAAQIECBCICwik+AGt\nT4AAAQIECBAgQIDATkAg7SxNIkCAAAECBAgQIEAgLiCQ4ge0PgECBAgQIECAAAECOwGBtLM0\niQABAgQIECBAgACBuIBAih/Q+gQIECBAgAABAgQI7AQE0s7SJAIECBAgQIAAAQIE4gICKX5A\n6xMgQIAAAQIECBAgsBMQSDtLkwgQIECAAAECBAgQiAsIpPgBrU+AAAECBAgQIECAwE5AIO0s\nTSJAgAABAgQIECBAIC4gkOIHtD4BAgQIECBAgAABAjsBgbSzNIkAAQIECBAgQIAAgbiAQIof\n0PoECBAgQIAAAQIECOwEBNLO0iQCBAgQIECAAAECBOICAil+QOsTIECAAAECBAgQILATEEg7\nS5MIECBAgAABAgQIEIgLCKT4Aa1PgAABAgQIECBAgMBOQCDtLE0iQIAAAQIECBAgQCAuIJDi\nB7Q+AQIECBAgQIAAAQI7AYG0szSJAAECBAgQIECAAIG4gECKH9D6BAgQIECAAAECBAjsBATS\nztIkAgQIECBAgAABAgTiAgIpfkDrEyBAgAABAgQIECCwExBIO0uTCBAgQIAAAQIECBCICwik\n+AGtT4AAAQIECBAgQIDATkAg7SxNIkCAAAECBAgQIEAgLiCQ4ge0PgECBAgQIECAAAECOwGB\ntLM0iQABAgQIECBAgACBuIBAih/Q+gQIECBAgAABAgQI7AQE0s7SJAIECBAgQIAAAQIE4gIC\nKX5A6xMgQIAAAQIECBAgsBMQSDtLkwgQIECAAAECBAgQiAsIpPgBrU+AAAECBAgQIECAwE5A\nIO0sTSJAgAABAgQIECBAIC4gkOIHtD4BAgQIECBAgAABAjsBgbSzNIkAAQIECBAgQIAAgbiA\nQIof0PoECBAgQIAAAQIECOwEBNLO0iQCBAgQIECAAAECBOICAil+QOsTIECAAAECBAgQILAT\nEEg7S5MIECBAgAABAgQIEIgLCKT4Aa1PgAABAgQIECBAgMBOQCDtLE0iQIAAAQIECBAgQCAu\nIJDiB7Q+AQIECBAgQIAAAQI7AYG0szSJAAECBAgQIECAAIG4gECKH9D6BAgQIECAAAECBAjs\nBATSztIkAgQIECBAgAABAgTiAgIpfkDrEyBAgAABAgQIECCwExBIO0uTCBAgQIAAAQIECBCI\nCwik+AGtT4AAAQIECBAgQIDATkAg7SxNIkCAAAECBAgQIEAgLiCQ4ge0PgECBAgQIECAAAEC\nOwGBtLM0iQABAgQIECBAgACBuIBAih/Q+gQIECBAgAABAgQI7AQE0s7SJAIECBAgQIAAAQIE\n4gICKX5A6xMgQIAAAQIECBAgsBMQSDtLkwgQIECAAAECBAgQiAsIpPgBrU+AAAECBAgQIECA\nwE5AIO0sTSJAgAABAgQIECBAIC4gkOIHtD4BAgQIECBAgAABAjsBgbSzNIkAAQIECBAgQIAA\ngbiAQIof0PoECBAgQIAAAQIECOwEBNLO0iQCBAgQIECAAAECBOICAil+QOsTIECAAAECBAgQ\nILATEEg7S5MIECBAgAABAgQIEIgLCKT4Aa1PgAABAgQIECBAgMBOQCDtLE0iQIAAAQIECBAg\nQCAuIJDiB7Q+AQIECBAgQIAAAQI7AYG0szSJAAECBAgQIECAAIG4gECKH9D6BAgQIECAAAEC\nBAjsBATSztIkAgQIECBAgAABAgTiAgIpfkDrEyBAgAABAgQIECCwExBIO0uTCBAgQIAAAQIE\nCBCICwik+AGtT4AAAQIECBAgQIDATkAg7SxNIkCAAAECBAgQIEAgLiCQ4ge0PgECBAgQIECA\nAAECOwGBtLM0iQABAgQIECBAgACBuIBAih/Q+gQIECBAgAABAgQI7AQE0s7SJAIECBAgQIAA\nAQIE4gICKX5A6xMgQIAAAQIECBAgsBMQSDtLkwgQIECAAAECBAgQiAsIpPgBrU+AAAECBAgQ\nIECAwE5AIO0sTSJAgAABAgQIECBAIC4gkOIHtD4BAgQIECBAgAABAjsBgbSzNIkAAQIECBAg\nQIAAgbiAQIof0PoECBAgQIAAAQIECOwEBNLO0iQCBAgQIECAAAECBOICAil+QOsTIECAAAEC\nBAgQILATEEg7S5MIECBAgAABAgQIEIgLCKT4Aa1PgAABAgQIECBAgMBOQCDtLE0iQIAAAQIE\nCBAgQCAuIJDiB7Q+AQIECBAgQIAAAQI7AYG0szSJAAECBAgQIECAAIG4gECKH9D6BAgQIECA\nAAECBAjsBATSztIkAgQIECBAgAABAgTiAgIpfkDrEyBAgAABAgQIECCwExBIO0uTCBAgQIAA\nAQIECBCICwik+AGtT4AAAQIECBAgQIDATkAg7SxNIkCAAAECBAgQIEAgLiCQ4ge0PgECBAgQ\nIECAAAECOwGBtLM0iQABAgQIECBAgACBuIBAih/Q+gQIECBAgAABAgQI7AQE0s7SJAIECBAg\nQIAAAQIE4gICKX5A6xMgQIAAAQIECBAgsBMQSDtLkwgQIECAAAECBAgQiAsIpPgBrU+AAAEC\nBAgQIECAwE5AIO0sTSJAgAABAgQIECBAIC4gkOIHtD4BAgQIECBAgAABAjsBgbSzNIkAAQIE\nCBAgQIAAgbiAQIof0PoECBAgQIAAAQIECOwEBNLO0iQCBAgQIECAAAECBOICAil+QOsTIECA\nAAECBAgQILATEEg7S5MIECBAgAABAgQIEIgLCKT4Aa1PgAABAgQIECBAgMBOQCDtLE0iQIAA\nAQIECBAgQCAuIJDiB7Q+AQIECBAgQIAAAQI7AYG0szSJAAECBAgQIECAAIG4gECKH9D6BAgQ\nIECAAAECBAjsBATSztIkAgQIECBAgAABAgTiAgIpfkDrEyBAgAABAgQIECCwExBIO0uTCBAg\nQIAAAQIECBCICwik+AGtT4AAAQIECBAgQIDATkAg7SxNIkCAAAECBAgQIEAgLiCQ4ge0PgEC\nBAgQIECAAAECOwGBtLM0iQABAgQIECBAgACBuIBAih/Q+gQIECBAgAABAgQI7AQE0s7SJAIE\nCBAgQIAAAQIE4gICKX5A6xMgQIAAAQIECBAgsBMQSDtLkwgQIECAAAECBAgQiAsIpPgBrU+A\nAAECBAgQIECAwE5AIO0sTSJAgAABAgQIECBAIC4gkOIHtD4BAgQIECBAgAABAjsBgbSzNIkA\nAQIECBAgQIAAgbiAQIof0PoECBAgQIAAAQIECOwEBNLO0iQCBAgQIECAAAECBOICAil+QOsT\nIECAAAECBAgQILATEEg7S5MIECBAgAABAgQIEIgLCKT4Aa1PgAABAgQIECBAgMBOQCDtLE0i\nQIAAAQIECBAgQCAuIJDiB7Q+AQIECBAgQIAAAQI7AYG0szSJAAECBAgQIECAAIG4gECKH9D6\nBAgQIECAAAECBAjsBATSztIkAgQIECBAgAABAgTiAgIpfkDrEyBAgAABAgQIECCwExBIO0uT\nCBAgQIAAAQIECBCICwik+AGtT4AAAQIECBAgQIDATkAg7SxNIkCAAAECBAgQIEAgLiCQ4ge0\nPgECBAgQIECAAAECOwGBtLM0iQABAgQIECBAgACBuIBAih/Q+gQIECBAgAABAgQI7AQE0s7S\nJAIECBAgQIAAAQIE4gICKX5A6xMgQIAAAQIECBAgsBMQSDtLkwgQIECAAAECBAgQiAsIpPgB\nrU+AAAECBAgQIECAwE5AIO0sTSJAgAABAgQIECBAIC4gkOIHtD4BAgQIECBAgAABAjsBgbSz\nNIkAAQIECBAgQIAAgbiAQIof0PoECBAgQIAAAQIECOwEBNLO0iQCBAgQIECAAAECBOICAil+\nQOsTIECAAAECBAgQILATEEg7S5MIECBAgAABAgQIEIgLCKT4Aa1PgAABAgQIECBAgMBOQCDt\nLE0iQIAAAQIECBAgQCAuIJDiB7Q+AQIECBAgQIAAAQI7AYG0szSJAAECBAgQIECAAIG4gECK\nH9D6BAgQIECAAAECBAjsBATSztIkAgQIECBAgAABAgTiAgIpfkDrEyBAgAABAgQIECCwExBI\nO0uTCBAgQIAAAQIECBCICwik+AGtT4AAAQIECBAgQIDATkAg7SxNIkCAAAECBAgQIEAgLiCQ\n4ge0PgECBAgQIECAAAECOwGBtLM0iQABAgQIECBAgACBuIBAih/Q+gQIECBAgAABAgQI7AQE\n0s7SJAIECBAgQIAAAQIE4gICKX5A6xMgQIAAAQIECBAgsBMQSDtLkwgQIECAAAECBAgQiAsI\npPgBrU+AAAECBAgQIECAwE5AIO0sTSJAgAABAgQIECBAIC4gkOIHtD4BAgQIECBAgAABAjsB\ngbSzNIkAAQIECBAgQIAAgbiAQIof0PoECBAgQIAAAQIECOwEBNLO0iQCBAgQIECAAAECBOIC\nAil+QOsTIECAAAECBAgQILATEEg7S5MIECBAgAABAgQIEIgLCKT4Aa1PgAABAgQIECBAgMBO\nQCDtLE0iQIAAAQIECBAgQCAuIJDiB7Q+AQIECBAgQIAAAQI7AYG0szSJAAECBAgQIECAAIG4\ngECKH9D6BAgQIECAAAECBAjsBATSztIkAgQIECBAgAABAgTiAgIpfkDrEyBAgAABAgQIECCw\nExBIO0uTCBAgQIAAAQIECBCICwik+AGtT4AAAQIECBAgQIDATkAg7SxNIkCAAAECBAgQIEAg\nLiCQ4ge0PgECBAgQIECAAAECOwGBtLM0iQABAgQIECBAgACBuIBAih/Q+gQIECBAgAABAgQI\n7AQE0s7SJAIECBAgQIAAAQIE4gICKX5A6xMgQIAAAQIECBAgsBMQSDtLkwgQIECAAAECBAgQ\niAsIpPgBrU+AAAECBAgQIECAwE5AIO0sTSJAgAABAgQIECBAIC4gkOIHtD4BAgQIECBAgAAB\nAjsBgbSzNIkAAQIECBAgQIAAgbiAQIof0PoECBAgQIAAAQIECOwEBNLO0iQCBAgQIECAAAEC\nBOICAil+QOsTIECAAAECBAgQILATEEg7S5MIECBAgAABAgQIEIgLCKT4Aa1PgAABAgQIECBA\ngMBOQCDtLE0iQIAAAQIECBAgQCAuIJDiB7Q+AQIECBAgQIAAAQI7AYG0szSJAAECBAgQIECA\nAIG4gECKH9D6BAgQIECAAAECBAjsBATSztIkAgQIECBAgAABAgTiAgIpfkDrEyBAgAABAgQI\nECCwExBIO0uTCBAgQIAAAQIECBCICwik+AGtT4AAAQIECBAgQIDATkAg7SxNIkCAAAECBAgQ\nIEAgLiCQ4ge0PgECBAgQIECAAAECOwGBtLM0iQABAgQIECBAgACBuIBAih/Q+gQIECBAgAAB\nAgQI7AQE0s7SJAIECBAgQIAAAQIE4gICKX5A6xMgQIAAAQIECBAgsBMQSDtLkwgQIECAAAEC\nBAgQiAsIpPgBrU+AAAECBAgQIECAwE5AIO0sTSJAgAABAgQIECBAIC4gkOIHtD4BAgQIECBA\ngAABAjsBgbSzNIkAAQIECBAgQIAAgbiAQIof0PoECBAgQIAAAQIECOwEBNLO0iQCBAgQIECA\nAAECBOICAil+QOsTIECAAAECBAgQILATEEg7S5MIECBAgAABAgQIEIgLCKT4Aa1PgAABAgQI\nECBAgMBOQCDtLE0iQIAAAQIECBAgQCAuIJDiB7Q+AQIECBAgQIAAAQI7AYG0szSJAAECBAgQ\nIECAAIG4gECKH9D6BAgQIECAAAECBAjsBATSztIkAgQIECBAgAABAgTiAgIpfkDrEyBAgAAB\nAgQIECCwExBIO0uTCBAgQIAAAQIECBCICwik+AGtT4AAAQIECBAgQIDATkAg7SxNIkCAAAEC\nBAgQIEAgLiCQ4ge0PgECBAgQIECAAAECOwGBtLM0iQABAgQIECBAgACBuIBAih/Q+gQIECBA\ngAABAgQI7AQE0s7SJAIECBAgQIAAAQIE4gICKX5A6xMgQIAAAQIECBAgsBMQSDtLkwgQIECA\nAAECBAgQiAsIpPgBrU+AAAECBAgQIECAwE5AIO0sTSJAgAABAgQIECBAIC4gkOIHtD4BAgQI\nECBAgAABAjsBgbSzNIkAAQIECBAgQIAAgbiAQIof0PoECBAgQIAAAQIECOwEBNLO0iQCBAgQ\nIECAAAECBOICAil+QOsTIECAAAECBAgQILATEEg7S5MIECBAgAABAgQIEIgLCKT4Aa1PgAAB\nAgQIECBAgMBOQCDtLE0iQIAAAQIECBAgQCAuIJDiB7Q+AQIECBAgQIAAAQI7AYG0szSJAAEC\nBAgQIECAAIG4gECKH9D6BAgQIECAAAECBAjsBATSztIkAgQIECBAgAABAgTiAgIpfkDrEyBA\ngAABAgQIECCwExBIO0uTCBAgQIAAAQIECBCICwik+AGtT4AAAQIECBAgQIDATkAg7SxNIkCA\nAAECBAgQIEAgLiCQ4ge0PgECBAgQIECAAAECOwGBtLM0iQABAgQIECBAgACBuIBAih/Q+gQI\nECBAgAABAgQI7AQE0s7SJAIECBAgQIAAAQIE4gICKX5A6xMgQIAAAQIECBAgsBP4PDPq+Xye\necwzBAgQIECAAAECBAgQuKXA2ab5+P753fIvsBQBAgQIECBAgAABAgQuFvAvdheDex0BAgQI\nECBAgAABAvcVEEj3vY3NCBAgQIAAAQIECBC4WEAgXQzudQQIECBAgAABAgQI3FdAIN33NjYj\nQIAAAQIECBAgQOBiAYF0MbjXESBAgAABAgQIECBwXwGBdN/b2IwAAQIECBAgQIAAgYsFBNLF\n4F5HgAABAgQIECBAgMB9BQTSfW9jMwIECBAgQIAAAQIELhb4C3HhGo1Ij7tKAAAAAElFTkSu\nQmCC",
"text/plain": [
"plot without title"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ggplot(data = mpg)"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<table>\n",
"<thead><tr><th></th><th scope=col>mpg</th><th scope=col>cyl</th><th scope=col>disp</th><th scope=col>hp</th><th scope=col>drat</th><th scope=col>wt</th><th scope=col>qsec</th><th scope=col>vs</th><th scope=col>am</th><th scope=col>gear</th><th scope=col>carb</th></tr></thead>\n",
"<tbody>\n",
"\t<tr><th scope=row>Mazda RX4</th><td>21.0 </td><td>6 </td><td>160.0</td><td>110 </td><td>3.90 </td><td>2.620</td><td>16.46</td><td>0 </td><td>1 </td><td>4 </td><td>4 </td></tr>\n",
"\t<tr><th scope=row>Mazda RX4 Wag</th><td>21.0 </td><td>6 </td><td>160.0</td><td>110 </td><td>3.90 </td><td>2.875</td><td>17.02</td><td>0 </td><td>1 </td><td>4 </td><td>4 </td></tr>\n",
"\t<tr><th scope=row>Datsun 710</th><td>22.8 </td><td>4 </td><td>108.0</td><td> 93 </td><td>3.85 </td><td>2.320</td><td>18.61</td><td>1 </td><td>1 </td><td>4 </td><td>1 </td></tr>\n",
"\t<tr><th scope=row>Hornet 4 Drive</th><td>21.4 </td><td>6 </td><td>258.0</td><td>110 </td><td>3.08 </td><td>3.215</td><td>19.44</td><td>1 </td><td>0 </td><td>3 </td><td>1 </td></tr>\n",
"\t<tr><th scope=row>Hornet Sportabout</th><td>18.7 </td><td>8 </td><td>360.0</td><td>175 </td><td>3.15 </td><td>3.440</td><td>17.02</td><td>0 </td><td>0 </td><td>3 </td><td>2 </td></tr>\n",
"\t<tr><th scope=row>Valiant</th><td>18.1 </td><td>6 </td><td>225.0</td><td>105 </td><td>2.76 </td><td>3.460</td><td>20.22</td><td>1 </td><td>0 </td><td>3 </td><td>1 </td></tr>\n",
"\t<tr><th scope=row>Duster 360</th><td>14.3 </td><td>8 </td><td>360.0</td><td>245 </td><td>3.21 </td><td>3.570</td><td>15.84</td><td>0 </td><td>0 </td><td>3 </td><td>4 </td></tr>\n",
"\t<tr><th scope=row>Merc 240D</th><td>24.4 </td><td>4 </td><td>146.7</td><td> 62 </td><td>3.69 </td><td>3.190</td><td>20.00</td><td>1 </td><td>0 </td><td>4 </td><td>2 </td></tr>\n",
"\t<tr><th scope=row>Merc 230</th><td>22.8 </td><td>4 </td><td>140.8</td><td> 95 </td><td>3.92 </td><td>3.150</td><td>22.90</td><td>1 </td><td>0 </td><td>4 </td><td>2 </td></tr>\n",
"\t<tr><th scope=row>Merc 280</th><td>19.2 </td><td>6 </td><td>167.6</td><td>123 </td><td>3.92 </td><td>3.440</td><td>18.30</td><td>1 </td><td>0 </td><td>4 </td><td>4 </td></tr>\n",
"\t<tr><th scope=row>Merc 280C</th><td>17.8 </td><td>6 </td><td>167.6</td><td>123 </td><td>3.92 </td><td>3.440</td><td>18.90</td><td>1 </td><td>0 </td><td>4 </td><td>4 </td></tr>\n",
"\t<tr><th scope=row>Merc 450SE</th><td>16.4 </td><td>8 </td><td>275.8</td><td>180 </td><td>3.07 </td><td>4.070</td><td>17.40</td><td>0 </td><td>0 </td><td>3 </td><td>3 </td></tr>\n",
"\t<tr><th scope=row>Merc 450SL</th><td>17.3 </td><td>8 </td><td>275.8</td><td>180 </td><td>3.07 </td><td>3.730</td><td>17.60</td><td>0 </td><td>0 </td><td>3 </td><td>3 </td></tr>\n",
"\t<tr><th scope=row>Merc 450SLC</th><td>15.2 </td><td>8 </td><td>275.8</td><td>180 </td><td>3.07 </td><td>3.780</td><td>18.00</td><td>0 </td><td>0 </td><td>3 </td><td>3 </td></tr>\n",
"\t<tr><th scope=row>Cadillac Fleetwood</th><td>10.4 </td><td>8 </td><td>472.0</td><td>205 </td><td>2.93 </td><td>5.250</td><td>17.98</td><td>0 </td><td>0 </td><td>3 </td><td>4 </td></tr>\n",
"\t<tr><th scope=row>Lincoln Continental</th><td>10.4 </td><td>8 </td><td>460.0</td><td>215 </td><td>3.00 </td><td>5.424</td><td>17.82</td><td>0 </td><td>0 </td><td>3 </td><td>4 </td></tr>\n",
"\t<tr><th scope=row>Chrysler Imperial</th><td>14.7 </td><td>8 </td><td>440.0</td><td>230 </td><td>3.23 </td><td>5.345</td><td>17.42</td><td>0 </td><td>0 </td><td>3 </td><td>4 </td></tr>\n",
"\t<tr><th scope=row>Fiat 128</th><td>32.4 </td><td>4 </td><td> 78.7</td><td> 66 </td><td>4.08 </td><td>2.200</td><td>19.47</td><td>1 </td><td>1 </td><td>4 </td><td>1 </td></tr>\n",
"\t<tr><th scope=row>Honda Civic</th><td>30.4 </td><td>4 </td><td> 75.7</td><td> 52 </td><td>4.93 </td><td>1.615</td><td>18.52</td><td>1 </td><td>1 </td><td>4 </td><td>2 </td></tr>\n",
"\t<tr><th scope=row>Toyota Corolla</th><td>33.9 </td><td>4 </td><td> 71.1</td><td> 65 </td><td>4.22 </td><td>1.835</td><td>19.90</td><td>1 </td><td>1 </td><td>4 </td><td>1 </td></tr>\n",
"\t<tr><th scope=row>Toyota Corona</th><td>21.5 </td><td>4 </td><td>120.1</td><td> 97 </td><td>3.70 </td><td>2.465</td><td>20.01</td><td>1 </td><td>0 </td><td>3 </td><td>1 </td></tr>\n",
"\t<tr><th scope=row>Dodge Challenger</th><td>15.5 </td><td>8 </td><td>318.0</td><td>150 </td><td>2.76 </td><td>3.520</td><td>16.87</td><td>0 </td><td>0 </td><td>3 </td><td>2 </td></tr>\n",
"\t<tr><th scope=row>AMC Javelin</th><td>15.2 </td><td>8 </td><td>304.0</td><td>150 </td><td>3.15 </td><td>3.435</td><td>17.30</td><td>0 </td><td>0 </td><td>3 </td><td>2 </td></tr>\n",
"\t<tr><th scope=row>Camaro Z28</th><td>13.3 </td><td>8 </td><td>350.0</td><td>245 </td><td>3.73 </td><td>3.840</td><td>15.41</td><td>0 </td><td>0 </td><td>3 </td><td>4 </td></tr>\n",
"\t<tr><th scope=row>Pontiac Firebird</th><td>19.2 </td><td>8 </td><td>400.0</td><td>175 </td><td>3.08 </td><td>3.845</td><td>17.05</td><td>0 </td><td>0 </td><td>3 </td><td>2 </td></tr>\n",
"\t<tr><th scope=row>Fiat X1-9</th><td>27.3 </td><td>4 </td><td> 79.0</td><td> 66 </td><td>4.08 </td><td>1.935</td><td>18.90</td><td>1 </td><td>1 </td><td>4 </td><td>1 </td></tr>\n",
"\t<tr><th scope=row>Porsche 914-2</th><td>26.0 </td><td>4 </td><td>120.3</td><td> 91 </td><td>4.43 </td><td>2.140</td><td>16.70</td><td>0 </td><td>1 </td><td>5 </td><td>2 </td></tr>\n",
"\t<tr><th scope=row>Lotus Europa</th><td>30.4 </td><td>4 </td><td> 95.1</td><td>113 </td><td>3.77 </td><td>1.513</td><td>16.90</td><td>1 </td><td>1 </td><td>5 </td><td>2 </td></tr>\n",
"\t<tr><th scope=row>Ford Pantera L</th><td>15.8 </td><td>8 </td><td>351.0</td><td>264 </td><td>4.22 </td><td>3.170</td><td>14.50</td><td>0 </td><td>1 </td><td>5 </td><td>4 </td></tr>\n",
"\t<tr><th scope=row>Ferrari Dino</th><td>19.7 </td><td>6 </td><td>145.0</td><td>175 </td><td>3.62 </td><td>2.770</td><td>15.50</td><td>0 </td><td>1 </td><td>5 </td><td>6 </td></tr>\n",
"\t<tr><th scope=row>Maserati Bora</th><td>15.0 </td><td>8 </td><td>301.0</td><td>335 </td><td>3.54 </td><td>3.570</td><td>14.60</td><td>0 </td><td>1 </td><td>5 </td><td>8 </td></tr>\n",
"\t<tr><th scope=row>Volvo 142E</th><td>21.4 </td><td>4 </td><td>121.0</td><td>109 </td><td>4.11 </td><td>2.780</td><td>18.60</td><td>1 </td><td>1 </td><td>4 </td><td>2 </td></tr>\n",
"</tbody>\n",
"</table>\n"
],
"text/latex": [
"\\begin{tabular}{r|lllllllllll}\n",
" & mpg & cyl & disp & hp & drat & wt & qsec & vs & am & gear & carb\\\\\n",
"\\hline\n",
"\tMazda RX4 & 21.0 & 6 & 160.0 & 110 & 3.90 & 2.620 & 16.46 & 0 & 1 & 4 & 4 \\\\\n",
"\tMazda RX4 Wag & 21.0 & 6 & 160.0 & 110 & 3.90 & 2.875 & 17.02 & 0 & 1 & 4 & 4 \\\\\n",
"\tDatsun 710 & 22.8 & 4 & 108.0 & 93 & 3.85 & 2.320 & 18.61 & 1 & 1 & 4 & 1 \\\\\n",
"\tHornet 4 Drive & 21.4 & 6 & 258.0 & 110 & 3.08 & 3.215 & 19.44 & 1 & 0 & 3 & 1 \\\\\n",
"\tHornet Sportabout & 18.7 & 8 & 360.0 & 175 & 3.15 & 3.440 & 17.02 & 0 & 0 & 3 & 2 \\\\\n",
"\tValiant & 18.1 & 6 & 225.0 & 105 & 2.76 & 3.460 & 20.22 & 1 & 0 & 3 & 1 \\\\\n",
"\tDuster 360 & 14.3 & 8 & 360.0 & 245 & 3.21 & 3.570 & 15.84 & 0 & 0 & 3 & 4 \\\\\n",
"\tMerc 240D & 24.4 & 4 & 146.7 & 62 & 3.69 & 3.190 & 20.00 & 1 & 0 & 4 & 2 \\\\\n",
"\tMerc 230 & 22.8 & 4 & 140.8 & 95 & 3.92 & 3.150 & 22.90 & 1 & 0 & 4 & 2 \\\\\n",
"\tMerc 280 & 19.2 & 6 & 167.6 & 123 & 3.92 & 3.440 & 18.30 & 1 & 0 & 4 & 4 \\\\\n",
"\tMerc 280C & 17.8 & 6 & 167.6 & 123 & 3.92 & 3.440 & 18.90 & 1 & 0 & 4 & 4 \\\\\n",
"\tMerc 450SE & 16.4 & 8 & 275.8 & 180 & 3.07 & 4.070 & 17.40 & 0 & 0 & 3 & 3 \\\\\n",
"\tMerc 450SL & 17.3 & 8 & 275.8 & 180 & 3.07 & 3.730 & 17.60 & 0 & 0 & 3 & 3 \\\\\n",
"\tMerc 450SLC & 15.2 & 8 & 275.8 & 180 & 3.07 & 3.780 & 18.00 & 0 & 0 & 3 & 3 \\\\\n",
"\tCadillac Fleetwood & 10.4 & 8 & 472.0 & 205 & 2.93 & 5.250 & 17.98 & 0 & 0 & 3 & 4 \\\\\n",
"\tLincoln Continental & 10.4 & 8 & 460.0 & 215 & 3.00 & 5.424 & 17.82 & 0 & 0 & 3 & 4 \\\\\n",
"\tChrysler Imperial & 14.7 & 8 & 440.0 & 230 & 3.23 & 5.345 & 17.42 & 0 & 0 & 3 & 4 \\\\\n",
"\tFiat 128 & 32.4 & 4 & 78.7 & 66 & 4.08 & 2.200 & 19.47 & 1 & 1 & 4 & 1 \\\\\n",
"\tHonda Civic & 30.4 & 4 & 75.7 & 52 & 4.93 & 1.615 & 18.52 & 1 & 1 & 4 & 2 \\\\\n",
"\tToyota Corolla & 33.9 & 4 & 71.1 & 65 & 4.22 & 1.835 & 19.90 & 1 & 1 & 4 & 1 \\\\\n",
"\tToyota Corona & 21.5 & 4 & 120.1 & 97 & 3.70 & 2.465 & 20.01 & 1 & 0 & 3 & 1 \\\\\n",
"\tDodge Challenger & 15.5 & 8 & 318.0 & 150 & 2.76 & 3.520 & 16.87 & 0 & 0 & 3 & 2 \\\\\n",
"\tAMC Javelin & 15.2 & 8 & 304.0 & 150 & 3.15 & 3.435 & 17.30 & 0 & 0 & 3 & 2 \\\\\n",
"\tCamaro Z28 & 13.3 & 8 & 350.0 & 245 & 3.73 & 3.840 & 15.41 & 0 & 0 & 3 & 4 \\\\\n",
"\tPontiac Firebird & 19.2 & 8 & 400.0 & 175 & 3.08 & 3.845 & 17.05 & 0 & 0 & 3 & 2 \\\\\n",
"\tFiat X1-9 & 27.3 & 4 & 79.0 & 66 & 4.08 & 1.935 & 18.90 & 1 & 1 & 4 & 1 \\\\\n",
"\tPorsche 914-2 & 26.0 & 4 & 120.3 & 91 & 4.43 & 2.140 & 16.70 & 0 & 1 & 5 & 2 \\\\\n",
"\tLotus Europa & 30.4 & 4 & 95.1 & 113 & 3.77 & 1.513 & 16.90 & 1 & 1 & 5 & 2 \\\\\n",
"\tFord Pantera L & 15.8 & 8 & 351.0 & 264 & 4.22 & 3.170 & 14.50 & 0 & 1 & 5 & 4 \\\\\n",
"\tFerrari Dino & 19.7 & 6 & 145.0 & 175 & 3.62 & 2.770 & 15.50 & 0 & 1 & 5 & 6 \\\\\n",
"\tMaserati Bora & 15.0 & 8 & 301.0 & 335 & 3.54 & 3.570 & 14.60 & 0 & 1 & 5 & 8 \\\\\n",
"\tVolvo 142E & 21.4 & 4 & 121.0 & 109 & 4.11 & 2.780 & 18.60 & 1 & 1 & 4 & 2 \\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"| <!--/--> | mpg | cyl | disp | hp | drat | wt | qsec | vs | am | gear | carb | \n",
"|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
"| Mazda RX4 | 21.0 | 6 | 160.0 | 110 | 3.90 | 2.620 | 16.46 | 0 | 1 | 4 | 4 | \n",
"| Mazda RX4 Wag | 21.0 | 6 | 160.0 | 110 | 3.90 | 2.875 | 17.02 | 0 | 1 | 4 | 4 | \n",
"| Datsun 710 | 22.8 | 4 | 108.0 | 93 | 3.85 | 2.320 | 18.61 | 1 | 1 | 4 | 1 | \n",
"| Hornet 4 Drive | 21.4 | 6 | 258.0 | 110 | 3.08 | 3.215 | 19.44 | 1 | 0 | 3 | 1 | \n",
"| Hornet Sportabout | 18.7 | 8 | 360.0 | 175 | 3.15 | 3.440 | 17.02 | 0 | 0 | 3 | 2 | \n",
"| Valiant | 18.1 | 6 | 225.0 | 105 | 2.76 | 3.460 | 20.22 | 1 | 0 | 3 | 1 | \n",
"| Duster 360 | 14.3 | 8 | 360.0 | 245 | 3.21 | 3.570 | 15.84 | 0 | 0 | 3 | 4 | \n",
"| Merc 240D | 24.4 | 4 | 146.7 | 62 | 3.69 | 3.190 | 20.00 | 1 | 0 | 4 | 2 | \n",
"| Merc 230 | 22.8 | 4 | 140.8 | 95 | 3.92 | 3.150 | 22.90 | 1 | 0 | 4 | 2 | \n",
"| Merc 280 | 19.2 | 6 | 167.6 | 123 | 3.92 | 3.440 | 18.30 | 1 | 0 | 4 | 4 | \n",
"| Merc 280C | 17.8 | 6 | 167.6 | 123 | 3.92 | 3.440 | 18.90 | 1 | 0 | 4 | 4 | \n",
"| Merc 450SE | 16.4 | 8 | 275.8 | 180 | 3.07 | 4.070 | 17.40 | 0 | 0 | 3 | 3 | \n",
"| Merc 450SL | 17.3 | 8 | 275.8 | 180 | 3.07 | 3.730 | 17.60 | 0 | 0 | 3 | 3 | \n",
"| Merc 450SLC | 15.2 | 8 | 275.8 | 180 | 3.07 | 3.780 | 18.00 | 0 | 0 | 3 | 3 | \n",
"| Cadillac Fleetwood | 10.4 | 8 | 472.0 | 205 | 2.93 | 5.250 | 17.98 | 0 | 0 | 3 | 4 | \n",
"| Lincoln Continental | 10.4 | 8 | 460.0 | 215 | 3.00 | 5.424 | 17.82 | 0 | 0 | 3 | 4 | \n",
"| Chrysler Imperial | 14.7 | 8 | 440.0 | 230 | 3.23 | 5.345 | 17.42 | 0 | 0 | 3 | 4 | \n",
"| Fiat 128 | 32.4 | 4 | 78.7 | 66 | 4.08 | 2.200 | 19.47 | 1 | 1 | 4 | 1 | \n",
"| Honda Civic | 30.4 | 4 | 75.7 | 52 | 4.93 | 1.615 | 18.52 | 1 | 1 | 4 | 2 | \n",
"| Toyota Corolla | 33.9 | 4 | 71.1 | 65 | 4.22 | 1.835 | 19.90 | 1 | 1 | 4 | 1 | \n",
"| Toyota Corona | 21.5 | 4 | 120.1 | 97 | 3.70 | 2.465 | 20.01 | 1 | 0 | 3 | 1 | \n",
"| Dodge Challenger | 15.5 | 8 | 318.0 | 150 | 2.76 | 3.520 | 16.87 | 0 | 0 | 3 | 2 | \n",
"| AMC Javelin | 15.2 | 8 | 304.0 | 150 | 3.15 | 3.435 | 17.30 | 0 | 0 | 3 | 2 | \n",
"| Camaro Z28 | 13.3 | 8 | 350.0 | 245 | 3.73 | 3.840 | 15.41 | 0 | 0 | 3 | 4 | \n",
"| Pontiac Firebird | 19.2 | 8 | 400.0 | 175 | 3.08 | 3.845 | 17.05 | 0 | 0 | 3 | 2 | \n",
"| Fiat X1-9 | 27.3 | 4 | 79.0 | 66 | 4.08 | 1.935 | 18.90 | 1 | 1 | 4 | 1 | \n",
"| Porsche 914-2 | 26.0 | 4 | 120.3 | 91 | 4.43 | 2.140 | 16.70 | 0 | 1 | 5 | 2 | \n",
"| Lotus Europa | 30.4 | 4 | 95.1 | 113 | 3.77 | 1.513 | 16.90 | 1 | 1 | 5 | 2 | \n",
"| Ford Pantera L | 15.8 | 8 | 351.0 | 264 | 4.22 | 3.170 | 14.50 | 0 | 1 | 5 | 4 | \n",
"| Ferrari Dino | 19.7 | 6 | 145.0 | 175 | 3.62 | 2.770 | 15.50 | 0 | 1 | 5 | 6 | \n",
"| Maserati Bora | 15.0 | 8 | 301.0 | 335 | 3.54 | 3.570 | 14.60 | 0 | 1 | 5 | 8 | \n",
"| Volvo 142E | 21.4 | 4 | 121.0 | 109 | 4.11 | 2.780 | 18.60 | 1 | 1 | 4 | 2 | \n",
"\n",
"\n"
],
"text/plain": [
" mpg cyl disp hp drat wt qsec vs am gear carb\n",
"Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 \n",
"Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 \n",
"Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 \n",
"Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 \n",
"Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 \n",
"Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 \n",
"Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 \n",
"Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 \n",
"Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 \n",
"Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 \n",
"Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 \n",
"Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 \n",
"Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 \n",
"Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 \n",
"Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 \n",
"Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 \n",
"Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 \n",
"Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 \n",
"Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 \n",
"Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 \n",
"Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 \n",
"Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 \n",
"AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 \n",
"Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 \n",
"Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 \n",
"Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 \n",
"Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 \n",
"Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 \n",
"Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 \n",
"Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 \n",
"Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 \n",
"Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"mtcars"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"?mpg"
]
},
{
"cell_type": "code",
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"metadata": {
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},
"outputs": [
{
"data": {
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"<table>\n",
"<thead><tr><th scope=col>manufacturer</th><th scope=col>model</th><th scope=col>displ</th><th scope=col>year</th><th scope=col>cyl</th><th scope=col>trans</th><th scope=col>drv</th><th scope=col>cty</th><th scope=col>hwy</th><th scope=col>fl</th><th scope=col>class</th></tr></thead>\n",
"<tbody>\n",
"\t<tr><td>audi </td><td>a4 </td><td>1.8 </td><td>1999 </td><td>4 </td><td>auto(l5) </td><td>f </td><td>18 </td><td>29 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 </td><td>1.8 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>f </td><td>21 </td><td>29 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 </td><td>2.0 </td><td>2008 </td><td>4 </td><td>manual(m6) </td><td>f </td><td>20 </td><td>31 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 </td><td>2.0 </td><td>2008 </td><td>4 </td><td>auto(av) </td><td>f </td><td>21 </td><td>30 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 </td><td>2.8 </td><td>1999 </td><td>6 </td><td>auto(l5) </td><td>f </td><td>16 </td><td>26 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 </td><td>2.8 </td><td>1999 </td><td>6 </td><td>manual(m5) </td><td>f </td><td>18 </td><td>26 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 </td><td>3.1 </td><td>2008 </td><td>6 </td><td>auto(av) </td><td>f </td><td>18 </td><td>27 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>1.8 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>4 </td><td>18 </td><td>26 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>1.8 </td><td>1999 </td><td>4 </td><td>auto(l5) </td><td>4 </td><td>16 </td><td>25 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>2.0 </td><td>2008 </td><td>4 </td><td>manual(m6) </td><td>4 </td><td>20 </td><td>28 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>2.0 </td><td>2008 </td><td>4 </td><td>auto(s6) </td><td>4 </td><td>19 </td><td>27 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>2.8 </td><td>1999 </td><td>6 </td><td>auto(l5) </td><td>4 </td><td>15 </td><td>25 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>2.8 </td><td>1999 </td><td>6 </td><td>manual(m5) </td><td>4 </td><td>17 </td><td>25 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>3.1 </td><td>2008 </td><td>6 </td><td>auto(s6) </td><td>4 </td><td>17 </td><td>25 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>3.1 </td><td>2008 </td><td>6 </td><td>manual(m6) </td><td>4 </td><td>15 </td><td>25 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a6 quattro </td><td>2.8 </td><td>1999 </td><td>6 </td><td>auto(l5) </td><td>4 </td><td>15 </td><td>24 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>audi </td><td>a6 quattro </td><td>3.1 </td><td>2008 </td><td>6 </td><td>auto(s6) </td><td>4 </td><td>17 </td><td>25 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>audi </td><td>a6 quattro </td><td>4.2 </td><td>2008 </td><td>8 </td><td>auto(s6) </td><td>4 </td><td>16 </td><td>23 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>chevrolet </td><td>c1500 suburban 2wd</td><td>5.3 </td><td>2008 </td><td>8 </td><td>auto(l4) </td><td>r </td><td>14 </td><td>20 </td><td>r </td><td>suv </td></tr>\n",
"\t<tr><td>chevrolet </td><td>c1500 suburban 2wd</td><td>5.3 </td><td>2008 </td><td>8 </td><td>auto(l4) </td><td>r </td><td>11 </td><td>15 </td><td>e </td><td>suv </td></tr>\n",
"\t<tr><td>chevrolet </td><td>c1500 suburban 2wd</td><td>5.3 </td><td>2008 </td><td>8 </td><td>auto(l4) </td><td>r </td><td>14 </td><td>20 </td><td>r </td><td>suv </td></tr>\n",
"\t<tr><td>chevrolet </td><td>c1500 suburban 2wd</td><td>5.7 </td><td>1999 </td><td>8 </td><td>auto(l4) </td><td>r </td><td>13 </td><td>17 </td><td>r </td><td>suv </td></tr>\n",
"\t<tr><td>chevrolet </td><td>c1500 suburban 2wd</td><td>6.0 </td><td>2008 </td><td>8 </td><td>auto(l4) </td><td>r </td><td>12 </td><td>17 </td><td>r </td><td>suv </td></tr>\n",
"\t<tr><td>chevrolet </td><td>corvette </td><td>5.7 </td><td>1999 </td><td>8 </td><td>manual(m6) </td><td>r </td><td>16 </td><td>26 </td><td>p </td><td>2seater </td></tr>\n",
"\t<tr><td>chevrolet </td><td>corvette </td><td>5.7 </td><td>1999 </td><td>8 </td><td>auto(l4) </td><td>r </td><td>15 </td><td>23 </td><td>p </td><td>2seater </td></tr>\n",
"\t<tr><td>chevrolet </td><td>corvette </td><td>6.2 </td><td>2008 </td><td>8 </td><td>manual(m6) </td><td>r </td><td>16 </td><td>26 </td><td>p </td><td>2seater </td></tr>\n",
"\t<tr><td>chevrolet </td><td>corvette </td><td>6.2 </td><td>2008 </td><td>8 </td><td>auto(s6) </td><td>r </td><td>15 </td><td>25 </td><td>p </td><td>2seater </td></tr>\n",
"\t<tr><td>chevrolet </td><td>corvette </td><td>7.0 </td><td>2008 </td><td>8 </td><td>manual(m6) </td><td>r </td><td>15 </td><td>24 </td><td>p </td><td>2seater </td></tr>\n",
"\t<tr><td>chevrolet </td><td>k1500 tahoe 4wd </td><td>5.3 </td><td>2008 </td><td>8 </td><td>auto(l4) </td><td>4 </td><td>14 </td><td>19 </td><td>r </td><td>suv </td></tr>\n",
"\t<tr><td>chevrolet </td><td>k1500 tahoe 4wd </td><td>5.3 </td><td>2008 </td><td>8 </td><td>auto(l4) </td><td>4 </td><td>11 </td><td>14 </td><td>e </td><td>suv </td></tr>\n",
"\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
"\t<tr><td>toyota </td><td>toyota tacoma 4wd</td><td>3.4 </td><td>1999 </td><td>6 </td><td>auto(l4) </td><td>4 </td><td>15 </td><td>19 </td><td>r </td><td>pickup </td></tr>\n",
"\t<tr><td>toyota </td><td>toyota tacoma 4wd</td><td>4.0 </td><td>2008 </td><td>6 </td><td>manual(m6) </td><td>4 </td><td>15 </td><td>18 </td><td>r </td><td>pickup </td></tr>\n",
"\t<tr><td>toyota </td><td>toyota tacoma 4wd</td><td>4.0 </td><td>2008 </td><td>6 </td><td>auto(l5) </td><td>4 </td><td>16 </td><td>20 </td><td>r </td><td>pickup </td></tr>\n",
"\t<tr><td>volkswagen </td><td>gti </td><td>2.0 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>f </td><td>21 </td><td>29 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>gti </td><td>2.0 </td><td>1999 </td><td>4 </td><td>auto(l4) </td><td>f </td><td>19 </td><td>26 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>gti </td><td>2.0 </td><td>2008 </td><td>4 </td><td>manual(m6) </td><td>f </td><td>21 </td><td>29 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>gti </td><td>2.0 </td><td>2008 </td><td>4 </td><td>auto(s6) </td><td>f </td><td>22 </td><td>29 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>gti </td><td>2.8 </td><td>1999 </td><td>6 </td><td>manual(m5) </td><td>f </td><td>17 </td><td>24 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>1.9 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>f </td><td>33 </td><td>44 </td><td>d </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.0 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>f </td><td>21 </td><td>29 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.0 </td><td>1999 </td><td>4 </td><td>auto(l4) </td><td>f </td><td>19 </td><td>26 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.0 </td><td>2008 </td><td>4 </td><td>auto(s6) </td><td>f </td><td>22 </td><td>29 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.0 </td><td>2008 </td><td>4 </td><td>manual(m6) </td><td>f </td><td>21 </td><td>29 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.5 </td><td>2008 </td><td>5 </td><td>auto(s6) </td><td>f </td><td>21 </td><td>29 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.5 </td><td>2008 </td><td>5 </td><td>manual(m5) </td><td>f </td><td>21 </td><td>29 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.8 </td><td>1999 </td><td>6 </td><td>auto(l4) </td><td>f </td><td>16 </td><td>23 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.8 </td><td>1999 </td><td>6 </td><td>manual(m5) </td><td>f </td><td>17 </td><td>24 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>new beetle </td><td>1.9 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>f </td><td>35 </td><td>44 </td><td>d </td><td>subcompact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>new beetle </td><td>1.9 </td><td>1999 </td><td>4 </td><td>auto(l4) </td><td>f </td><td>29 </td><td>41 </td><td>d </td><td>subcompact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>new beetle </td><td>2.0 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>f </td><td>21 </td><td>29 </td><td>r </td><td>subcompact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>new beetle </td><td>2.0 </td><td>1999 </td><td>4 </td><td>auto(l4) </td><td>f </td><td>19 </td><td>26 </td><td>r </td><td>subcompact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>new beetle </td><td>2.5 </td><td>2008 </td><td>5 </td><td>manual(m5) </td><td>f </td><td>20 </td><td>28 </td><td>r </td><td>subcompact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>new beetle </td><td>2.5 </td><td>2008 </td><td>5 </td><td>auto(s6) </td><td>f </td><td>20 </td><td>29 </td><td>r </td><td>subcompact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>passat </td><td>1.8 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>f </td><td>21 </td><td>29 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>volkswagen </td><td>passat </td><td>1.8 </td><td>1999 </td><td>4 </td><td>auto(l5) </td><td>f </td><td>18 </td><td>29 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>volkswagen </td><td>passat </td><td>2.0 </td><td>2008 </td><td>4 </td><td>auto(s6) </td><td>f </td><td>19 </td><td>28 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>volkswagen </td><td>passat </td><td>2.0 </td><td>2008 </td><td>4 </td><td>manual(m6) </td><td>f </td><td>21 </td><td>29 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>volkswagen </td><td>passat </td><td>2.8 </td><td>1999 </td><td>6 </td><td>auto(l5) </td><td>f </td><td>16 </td><td>26 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>volkswagen </td><td>passat </td><td>2.8 </td><td>1999 </td><td>6 </td><td>manual(m5) </td><td>f </td><td>18 </td><td>26 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>volkswagen </td><td>passat </td><td>3.6 </td><td>2008 </td><td>6 </td><td>auto(s6) </td><td>f </td><td>17 </td><td>26 </td><td>p </td><td>midsize </td></tr>\n",
"</tbody>\n",
"</table>\n"
],
"text/latex": [
"\\begin{tabular}{r|lllllllllll}\n",
" manufacturer & model & displ & year & cyl & trans & drv & cty & hwy & fl & class\\\\\n",
"\\hline\n",
"\t audi & a4 & 1.8 & 1999 & 4 & auto(l5) & f & 18 & 29 & p & compact \\\\\n",
"\t audi & a4 & 1.8 & 1999 & 4 & manual(m5) & f & 21 & 29 & p & compact \\\\\n",
"\t audi & a4 & 2.0 & 2008 & 4 & manual(m6) & f & 20 & 31 & p & compact \\\\\n",
"\t audi & a4 & 2.0 & 2008 & 4 & auto(av) & f & 21 & 30 & p & compact \\\\\n",
"\t audi & a4 & 2.8 & 1999 & 6 & auto(l5) & f & 16 & 26 & p & compact \\\\\n",
"\t audi & a4 & 2.8 & 1999 & 6 & manual(m5) & f & 18 & 26 & p & compact \\\\\n",
"\t audi & a4 & 3.1 & 2008 & 6 & auto(av) & f & 18 & 27 & p & compact \\\\\n",
"\t audi & a4 quattro & 1.8 & 1999 & 4 & manual(m5) & 4 & 18 & 26 & p & compact \\\\\n",
"\t audi & a4 quattro & 1.8 & 1999 & 4 & auto(l5) & 4 & 16 & 25 & p & compact \\\\\n",
"\t audi & a4 quattro & 2.0 & 2008 & 4 & manual(m6) & 4 & 20 & 28 & p & compact \\\\\n",
"\t audi & a4 quattro & 2.0 & 2008 & 4 & auto(s6) & 4 & 19 & 27 & p & compact \\\\\n",
"\t audi & a4 quattro & 2.8 & 1999 & 6 & auto(l5) & 4 & 15 & 25 & p & compact \\\\\n",
"\t audi & a4 quattro & 2.8 & 1999 & 6 & manual(m5) & 4 & 17 & 25 & p & compact \\\\\n",
"\t audi & a4 quattro & 3.1 & 2008 & 6 & auto(s6) & 4 & 17 & 25 & p & compact \\\\\n",
"\t audi & a4 quattro & 3.1 & 2008 & 6 & manual(m6) & 4 & 15 & 25 & p & compact \\\\\n",
"\t audi & a6 quattro & 2.8 & 1999 & 6 & auto(l5) & 4 & 15 & 24 & p & midsize \\\\\n",
"\t audi & a6 quattro & 3.1 & 2008 & 6 & auto(s6) & 4 & 17 & 25 & p & midsize \\\\\n",
"\t audi & a6 quattro & 4.2 & 2008 & 8 & auto(s6) & 4 & 16 & 23 & p & midsize \\\\\n",
"\t chevrolet & c1500 suburban 2wd & 5.3 & 2008 & 8 & auto(l4) & r & 14 & 20 & r & suv \\\\\n",
"\t chevrolet & c1500 suburban 2wd & 5.3 & 2008 & 8 & auto(l4) & r & 11 & 15 & e & suv \\\\\n",
"\t chevrolet & c1500 suburban 2wd & 5.3 & 2008 & 8 & auto(l4) & r & 14 & 20 & r & suv \\\\\n",
"\t chevrolet & c1500 suburban 2wd & 5.7 & 1999 & 8 & auto(l4) & r & 13 & 17 & r & suv \\\\\n",
"\t chevrolet & c1500 suburban 2wd & 6.0 & 2008 & 8 & auto(l4) & r & 12 & 17 & r & suv \\\\\n",
"\t chevrolet & corvette & 5.7 & 1999 & 8 & manual(m6) & r & 16 & 26 & p & 2seater \\\\\n",
"\t chevrolet & corvette & 5.7 & 1999 & 8 & auto(l4) & r & 15 & 23 & p & 2seater \\\\\n",
"\t chevrolet & corvette & 6.2 & 2008 & 8 & manual(m6) & r & 16 & 26 & p & 2seater \\\\\n",
"\t chevrolet & corvette & 6.2 & 2008 & 8 & auto(s6) & r & 15 & 25 & p & 2seater \\\\\n",
"\t chevrolet & corvette & 7.0 & 2008 & 8 & manual(m6) & r & 15 & 24 & p & 2seater \\\\\n",
"\t chevrolet & k1500 tahoe 4wd & 5.3 & 2008 & 8 & auto(l4) & 4 & 14 & 19 & r & suv \\\\\n",
"\t chevrolet & k1500 tahoe 4wd & 5.3 & 2008 & 8 & auto(l4) & 4 & 11 & 14 & e & suv \\\\\n",
"\t ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
"\t toyota & toyota tacoma 4wd & 3.4 & 1999 & 6 & auto(l4) & 4 & 15 & 19 & r & pickup \\\\\n",
"\t toyota & toyota tacoma 4wd & 4.0 & 2008 & 6 & manual(m6) & 4 & 15 & 18 & r & pickup \\\\\n",
"\t toyota & toyota tacoma 4wd & 4.0 & 2008 & 6 & auto(l5) & 4 & 16 & 20 & r & pickup \\\\\n",
"\t volkswagen & gti & 2.0 & 1999 & 4 & manual(m5) & f & 21 & 29 & r & compact \\\\\n",
"\t volkswagen & gti & 2.0 & 1999 & 4 & auto(l4) & f & 19 & 26 & r & compact \\\\\n",
"\t volkswagen & gti & 2.0 & 2008 & 4 & manual(m6) & f & 21 & 29 & p & compact \\\\\n",
"\t volkswagen & gti & 2.0 & 2008 & 4 & auto(s6) & f & 22 & 29 & p & compact \\\\\n",
"\t volkswagen & gti & 2.8 & 1999 & 6 & manual(m5) & f & 17 & 24 & r & compact \\\\\n",
"\t volkswagen & jetta & 1.9 & 1999 & 4 & manual(m5) & f & 33 & 44 & d & compact \\\\\n",
"\t volkswagen & jetta & 2.0 & 1999 & 4 & manual(m5) & f & 21 & 29 & r & compact \\\\\n",
"\t volkswagen & jetta & 2.0 & 1999 & 4 & auto(l4) & f & 19 & 26 & r & compact \\\\\n",
"\t volkswagen & jetta & 2.0 & 2008 & 4 & auto(s6) & f & 22 & 29 & p & compact \\\\\n",
"\t volkswagen & jetta & 2.0 & 2008 & 4 & manual(m6) & f & 21 & 29 & p & compact \\\\\n",
"\t volkswagen & jetta & 2.5 & 2008 & 5 & auto(s6) & f & 21 & 29 & r & compact \\\\\n",
"\t volkswagen & jetta & 2.5 & 2008 & 5 & manual(m5) & f & 21 & 29 & r & compact \\\\\n",
"\t volkswagen & jetta & 2.8 & 1999 & 6 & auto(l4) & f & 16 & 23 & r & compact \\\\\n",
"\t volkswagen & jetta & 2.8 & 1999 & 6 & manual(m5) & f & 17 & 24 & r & compact \\\\\n",
"\t volkswagen & new beetle & 1.9 & 1999 & 4 & manual(m5) & f & 35 & 44 & d & subcompact \\\\\n",
"\t volkswagen & new beetle & 1.9 & 1999 & 4 & auto(l4) & f & 29 & 41 & d & subcompact \\\\\n",
"\t volkswagen & new beetle & 2.0 & 1999 & 4 & manual(m5) & f & 21 & 29 & r & subcompact \\\\\n",
"\t volkswagen & new beetle & 2.0 & 1999 & 4 & auto(l4) & f & 19 & 26 & r & subcompact \\\\\n",
"\t volkswagen & new beetle & 2.5 & 2008 & 5 & manual(m5) & f & 20 & 28 & r & subcompact \\\\\n",
"\t volkswagen & new beetle & 2.5 & 2008 & 5 & auto(s6) & f & 20 & 29 & r & subcompact \\\\\n",
"\t volkswagen & passat & 1.8 & 1999 & 4 & manual(m5) & f & 21 & 29 & p & midsize \\\\\n",
"\t volkswagen & passat & 1.8 & 1999 & 4 & auto(l5) & f & 18 & 29 & p & midsize \\\\\n",
"\t volkswagen & passat & 2.0 & 2008 & 4 & auto(s6) & f & 19 & 28 & p & midsize \\\\\n",
"\t volkswagen & passat & 2.0 & 2008 & 4 & manual(m6) & f & 21 & 29 & p & midsize \\\\\n",
"\t volkswagen & passat & 2.8 & 1999 & 6 & auto(l5) & f & 16 & 26 & p & midsize \\\\\n",
"\t volkswagen & passat & 2.8 & 1999 & 6 & manual(m5) & f & 18 & 26 & p & midsize \\\\\n",
"\t volkswagen & passat & 3.6 & 2008 & 6 & auto(s6) & f & 17 & 26 & p & midsize \\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"manufacturer | model | displ | year | cyl | trans | drv | cty | hwy | fl | class | \n",
"|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
"| audi | a4 | 1.8 | 1999 | 4 | auto(l5) | f | 18 | 29 | p | compact | \n",
"| audi | a4 | 1.8 | 1999 | 4 | manual(m5) | f | 21 | 29 | p | compact | \n",
"| audi | a4 | 2.0 | 2008 | 4 | manual(m6) | f | 20 | 31 | p | compact | \n",
"| audi | a4 | 2.0 | 2008 | 4 | auto(av) | f | 21 | 30 | p | compact | \n",
"| audi | a4 | 2.8 | 1999 | 6 | auto(l5) | f | 16 | 26 | p | compact | \n",
"| audi | a4 | 2.8 | 1999 | 6 | manual(m5) | f | 18 | 26 | p | compact | \n",
"| audi | a4 | 3.1 | 2008 | 6 | auto(av) | f | 18 | 27 | p | compact | \n",
"| audi | a4 quattro | 1.8 | 1999 | 4 | manual(m5) | 4 | 18 | 26 | p | compact | \n",
"| audi | a4 quattro | 1.8 | 1999 | 4 | auto(l5) | 4 | 16 | 25 | p | compact | \n",
"| audi | a4 quattro | 2.0 | 2008 | 4 | manual(m6) | 4 | 20 | 28 | p | compact | \n",
"| audi | a4 quattro | 2.0 | 2008 | 4 | auto(s6) | 4 | 19 | 27 | p | compact | \n",
"| audi | a4 quattro | 2.8 | 1999 | 6 | auto(l5) | 4 | 15 | 25 | p | compact | \n",
"| audi | a4 quattro | 2.8 | 1999 | 6 | manual(m5) | 4 | 17 | 25 | p | compact | \n",
"| audi | a4 quattro | 3.1 | 2008 | 6 | auto(s6) | 4 | 17 | 25 | p | compact | \n",
"| audi | a4 quattro | 3.1 | 2008 | 6 | manual(m6) | 4 | 15 | 25 | p | compact | \n",
"| audi | a6 quattro | 2.8 | 1999 | 6 | auto(l5) | 4 | 15 | 24 | p | midsize | \n",
"| audi | a6 quattro | 3.1 | 2008 | 6 | auto(s6) | 4 | 17 | 25 | p | midsize | \n",
"| audi | a6 quattro | 4.2 | 2008 | 8 | auto(s6) | 4 | 16 | 23 | p | midsize | \n",
"| chevrolet | c1500 suburban 2wd | 5.3 | 2008 | 8 | auto(l4) | r | 14 | 20 | r | suv | \n",
"| chevrolet | c1500 suburban 2wd | 5.3 | 2008 | 8 | auto(l4) | r | 11 | 15 | e | suv | \n",
"| chevrolet | c1500 suburban 2wd | 5.3 | 2008 | 8 | auto(l4) | r | 14 | 20 | r | suv | \n",
"| chevrolet | c1500 suburban 2wd | 5.7 | 1999 | 8 | auto(l4) | r | 13 | 17 | r | suv | \n",
"| chevrolet | c1500 suburban 2wd | 6.0 | 2008 | 8 | auto(l4) | r | 12 | 17 | r | suv | \n",
"| chevrolet | corvette | 5.7 | 1999 | 8 | manual(m6) | r | 16 | 26 | p | 2seater | \n",
"| chevrolet | corvette | 5.7 | 1999 | 8 | auto(l4) | r | 15 | 23 | p | 2seater | \n",
"| chevrolet | corvette | 6.2 | 2008 | 8 | manual(m6) | r | 16 | 26 | p | 2seater | \n",
"| chevrolet | corvette | 6.2 | 2008 | 8 | auto(s6) | r | 15 | 25 | p | 2seater | \n",
"| chevrolet | corvette | 7.0 | 2008 | 8 | manual(m6) | r | 15 | 24 | p | 2seater | \n",
"| chevrolet | k1500 tahoe 4wd | 5.3 | 2008 | 8 | auto(l4) | 4 | 14 | 19 | r | suv | \n",
"| chevrolet | k1500 tahoe 4wd | 5.3 | 2008 | 8 | auto(l4) | 4 | 11 | 14 | e | suv | \n",
"| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | \n",
"| toyota | toyota tacoma 4wd | 3.4 | 1999 | 6 | auto(l4) | 4 | 15 | 19 | r | pickup | \n",
"| toyota | toyota tacoma 4wd | 4.0 | 2008 | 6 | manual(m6) | 4 | 15 | 18 | r | pickup | \n",
"| toyota | toyota tacoma 4wd | 4.0 | 2008 | 6 | auto(l5) | 4 | 16 | 20 | r | pickup | \n",
"| volkswagen | gti | 2.0 | 1999 | 4 | manual(m5) | f | 21 | 29 | r | compact | \n",
"| volkswagen | gti | 2.0 | 1999 | 4 | auto(l4) | f | 19 | 26 | r | compact | \n",
"| volkswagen | gti | 2.0 | 2008 | 4 | manual(m6) | f | 21 | 29 | p | compact | \n",
"| volkswagen | gti | 2.0 | 2008 | 4 | auto(s6) | f | 22 | 29 | p | compact | \n",
"| volkswagen | gti | 2.8 | 1999 | 6 | manual(m5) | f | 17 | 24 | r | compact | \n",
"| volkswagen | jetta | 1.9 | 1999 | 4 | manual(m5) | f | 33 | 44 | d | compact | \n",
"| volkswagen | jetta | 2.0 | 1999 | 4 | manual(m5) | f | 21 | 29 | r | compact | \n",
"| volkswagen | jetta | 2.0 | 1999 | 4 | auto(l4) | f | 19 | 26 | r | compact | \n",
"| volkswagen | jetta | 2.0 | 2008 | 4 | auto(s6) | f | 22 | 29 | p | compact | \n",
"| volkswagen | jetta | 2.0 | 2008 | 4 | manual(m6) | f | 21 | 29 | p | compact | \n",
"| volkswagen | jetta | 2.5 | 2008 | 5 | auto(s6) | f | 21 | 29 | r | compact | \n",
"| volkswagen | jetta | 2.5 | 2008 | 5 | manual(m5) | f | 21 | 29 | r | compact | \n",
"| volkswagen | jetta | 2.8 | 1999 | 6 | auto(l4) | f | 16 | 23 | r | compact | \n",
"| volkswagen | jetta | 2.8 | 1999 | 6 | manual(m5) | f | 17 | 24 | r | compact | \n",
"| volkswagen | new beetle | 1.9 | 1999 | 4 | manual(m5) | f | 35 | 44 | d | subcompact | \n",
"| volkswagen | new beetle | 1.9 | 1999 | 4 | auto(l4) | f | 29 | 41 | d | subcompact | \n",
"| volkswagen | new beetle | 2.0 | 1999 | 4 | manual(m5) | f | 21 | 29 | r | subcompact | \n",
"| volkswagen | new beetle | 2.0 | 1999 | 4 | auto(l4) | f | 19 | 26 | r | subcompact | \n",
"| volkswagen | new beetle | 2.5 | 2008 | 5 | manual(m5) | f | 20 | 28 | r | subcompact | \n",
"| volkswagen | new beetle | 2.5 | 2008 | 5 | auto(s6) | f | 20 | 29 | r | subcompact | \n",
"| volkswagen | passat | 1.8 | 1999 | 4 | manual(m5) | f | 21 | 29 | p | midsize | \n",
"| volkswagen | passat | 1.8 | 1999 | 4 | auto(l5) | f | 18 | 29 | p | midsize | \n",
"| volkswagen | passat | 2.0 | 2008 | 4 | auto(s6) | f | 19 | 28 | p | midsize | \n",
"| volkswagen | passat | 2.0 | 2008 | 4 | manual(m6) | f | 21 | 29 | p | midsize | \n",
"| volkswagen | passat | 2.8 | 1999 | 6 | auto(l5) | f | 16 | 26 | p | midsize | \n",
"| volkswagen | passat | 2.8 | 1999 | 6 | manual(m5) | f | 18 | 26 | p | midsize | \n",
"| volkswagen | passat | 3.6 | 2008 | 6 | auto(s6) | f | 17 | 26 | p | midsize | \n",
"\n",
"\n"
],
"text/plain": [
" manufacturer model displ year cyl trans drv cty hwy fl\n",
"1 audi a4 1.8 1999 4 auto(l5) f 18 29 p \n",
"2 audi a4 1.8 1999 4 manual(m5) f 21 29 p \n",
"3 audi a4 2.0 2008 4 manual(m6) f 20 31 p \n",
"4 audi a4 2.0 2008 4 auto(av) f 21 30 p \n",
"5 audi a4 2.8 1999 6 auto(l5) f 16 26 p \n",
"6 audi a4 2.8 1999 6 manual(m5) f 18 26 p \n",
"7 audi a4 3.1 2008 6 auto(av) f 18 27 p \n",
"8 audi a4 quattro 1.8 1999 4 manual(m5) 4 18 26 p \n",
"9 audi a4 quattro 1.8 1999 4 auto(l5) 4 16 25 p \n",
"10 audi a4 quattro 2.0 2008 4 manual(m6) 4 20 28 p \n",
"11 audi a4 quattro 2.0 2008 4 auto(s6) 4 19 27 p \n",
"12 audi a4 quattro 2.8 1999 6 auto(l5) 4 15 25 p \n",
"13 audi a4 quattro 2.8 1999 6 manual(m5) 4 17 25 p \n",
"14 audi a4 quattro 3.1 2008 6 auto(s6) 4 17 25 p \n",
"15 audi a4 quattro 3.1 2008 6 manual(m6) 4 15 25 p \n",
"16 audi a6 quattro 2.8 1999 6 auto(l5) 4 15 24 p \n",
"17 audi a6 quattro 3.1 2008 6 auto(s6) 4 17 25 p \n",
"18 audi a6 quattro 4.2 2008 8 auto(s6) 4 16 23 p \n",
"19 chevrolet c1500 suburban 2wd 5.3 2008 8 auto(l4) r 14 20 r \n",
"20 chevrolet c1500 suburban 2wd 5.3 2008 8 auto(l4) r 11 15 e \n",
"21 chevrolet c1500 suburban 2wd 5.3 2008 8 auto(l4) r 14 20 r \n",
"22 chevrolet c1500 suburban 2wd 5.7 1999 8 auto(l4) r 13 17 r \n",
"23 chevrolet c1500 suburban 2wd 6.0 2008 8 auto(l4) r 12 17 r \n",
"24 chevrolet corvette 5.7 1999 8 manual(m6) r 16 26 p \n",
"25 chevrolet corvette 5.7 1999 8 auto(l4) r 15 23 p \n",
"26 chevrolet corvette 6.2 2008 8 manual(m6) r 16 26 p \n",
"27 chevrolet corvette 6.2 2008 8 auto(s6) r 15 25 p \n",
"28 chevrolet corvette 7.0 2008 8 manual(m6) r 15 24 p \n",
"29 chevrolet k1500 tahoe 4wd 5.3 2008 8 auto(l4) 4 14 19 r \n",
"30 chevrolet k1500 tahoe 4wd 5.3 2008 8 auto(l4) 4 11 14 e \n",
"⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ \n",
"205 toyota toyota tacoma 4wd 3.4 1999 6 auto(l4) 4 15 19 r \n",
"206 toyota toyota tacoma 4wd 4.0 2008 6 manual(m6) 4 15 18 r \n",
"207 toyota toyota tacoma 4wd 4.0 2008 6 auto(l5) 4 16 20 r \n",
"208 volkswagen gti 2.0 1999 4 manual(m5) f 21 29 r \n",
"209 volkswagen gti 2.0 1999 4 auto(l4) f 19 26 r \n",
"210 volkswagen gti 2.0 2008 4 manual(m6) f 21 29 p \n",
"211 volkswagen gti 2.0 2008 4 auto(s6) f 22 29 p \n",
"212 volkswagen gti 2.8 1999 6 manual(m5) f 17 24 r \n",
"213 volkswagen jetta 1.9 1999 4 manual(m5) f 33 44 d \n",
"214 volkswagen jetta 2.0 1999 4 manual(m5) f 21 29 r \n",
"215 volkswagen jetta 2.0 1999 4 auto(l4) f 19 26 r \n",
"216 volkswagen jetta 2.0 2008 4 auto(s6) f 22 29 p \n",
"217 volkswagen jetta 2.0 2008 4 manual(m6) f 21 29 p \n",
"218 volkswagen jetta 2.5 2008 5 auto(s6) f 21 29 r \n",
"219 volkswagen jetta 2.5 2008 5 manual(m5) f 21 29 r \n",
"220 volkswagen jetta 2.8 1999 6 auto(l4) f 16 23 r \n",
"221 volkswagen jetta 2.8 1999 6 manual(m5) f 17 24 r \n",
"222 volkswagen new beetle 1.9 1999 4 manual(m5) f 35 44 d \n",
"223 volkswagen new beetle 1.9 1999 4 auto(l4) f 29 41 d \n",
"224 volkswagen new beetle 2.0 1999 4 manual(m5) f 21 29 r \n",
"225 volkswagen new beetle 2.0 1999 4 auto(l4) f 19 26 r \n",
"226 volkswagen new beetle 2.5 2008 5 manual(m5) f 20 28 r \n",
"227 volkswagen new beetle 2.5 2008 5 auto(s6) f 20 29 r \n",
"228 volkswagen passat 1.8 1999 4 manual(m5) f 21 29 p \n",
"229 volkswagen passat 1.8 1999 4 auto(l5) f 18 29 p \n",
"230 volkswagen passat 2.0 2008 4 auto(s6) f 19 28 p \n",
"231 volkswagen passat 2.0 2008 4 manual(m6) f 21 29 p \n",
"232 volkswagen passat 2.8 1999 6 auto(l5) f 16 26 p \n",
"233 volkswagen passat 2.8 1999 6 manual(m5) f 18 26 p \n",
"234 volkswagen passat 3.6 2008 6 auto(s6) f 17 26 p \n",
" class \n",
"1 compact \n",
"2 compact \n",
"3 compact \n",
"4 compact \n",
"5 compact \n",
"6 compact \n",
"7 compact \n",
"8 compact \n",
"9 compact \n",
"10 compact \n",
"11 compact \n",
"12 compact \n",
"13 compact \n",
"14 compact \n",
"15 compact \n",
"16 midsize \n",
"17 midsize \n",
"18 midsize \n",
"19 suv \n",
"20 suv \n",
"21 suv \n",
"22 suv \n",
"23 suv \n",
"24 2seater \n",
"25 2seater \n",
"26 2seater \n",
"27 2seater \n",
"28 2seater \n",
"29 suv \n",
"30 suv \n",
"⋮ ⋮ \n",
"205 pickup \n",
"206 pickup \n",
"207 pickup \n",
"208 compact \n",
"209 compact \n",
"210 compact \n",
"211 compact \n",
"212 compact \n",
"213 compact \n",
"214 compact \n",
"215 compact \n",
"216 compact \n",
"217 compact \n",
"218 compact \n",
"219 compact \n",
"220 compact \n",
"221 compact \n",
"222 subcompact\n",
"223 subcompact\n",
"224 subcompact\n",
"225 subcompact\n",
"226 subcompact\n",
"227 subcompact\n",
"228 midsize \n",
"229 midsize \n",
"230 midsize \n",
"231 midsize \n",
"232 midsize \n",
"233 midsize \n",
"234 midsize "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"mpg"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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xzxjzkiOoWLd9nmx+/0zpHQjjjWE1F0+T6WtnyvGnLW5UrI82Pi9T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\np2jBDAYDrr76alxwwQUdRUubYxRIKdSUMiHQUbU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ZAAVSMrcOy0YCJEACJEACJEACJEACJJBQAqFLSiU0a2ZGAiRAAiRAAiRAAiRAAslB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\nFBQBB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CUyVtTTURQAABBEovQIBU+jag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\nfylJw0Ii5QAAAABJRU5ErkJggg==",
"text/plain": [
"plot without title"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy, color = class))"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Warning message:\n",
"“The shape palette can deal with a maximum of 6 discrete values because\n",
"more than 6 becomes difficult to discriminate; you have 7. Consider\n",
"specifying shapes manually if you must have them.”Warning message:\n",
"“Removed 62 rows containing missing values (geom_point).”"
]
},
{
"data": {},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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0bQtlzeJUSlGvuiBTSRqPqUg61qS2VPItqmOvuOIK+/nnn03LNabj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TVE8TXa4kOqn1SF3S85s0vil64hR1xdNvsSZjUJdEXbRdY7a0Xw0nkaOSeszkll9Z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\njRo1Yp5fs2aNrVq1yqZMmRKz3O8PTjzxRPvuu++sQoUKMVndvHmzrV271j7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9HL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",
"text/plain": [
"plot without title"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy, shape = class))"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Warning message:\n",
"“Using size for a discrete variable is not advised.”"
]
},
{
"data": {},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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AAAEEEEAAgTIsQIDko/AHDBjgY634q6jvjAIvUnICGjJ99uzZRfML\nJLeWuUnbNFkvCQEEEEAAAQQQQACBaAIESNFUErympl3ZSMOHD89GtqHMU7VAGrbXT5oyZYqb\ntNfPuqyDAAIIIIAAAuEU0DDdufopY7PsFNwJwyh2Pops6dKlPtZKvIpqREjJCcycOdP3fFaq\nrdPw6i1btkxuYyyFAAIIIIAAAqEXWLlyZc6OUZPE+r3Rm7OdLMMbogbJR+HrAjsbKd0JbLOx\nT0HNc9WqVb53TRO+aXQ7EgIIIIAAAggggAACJQUIkEqKJPFcM5hnI2nmbVJyAqlO4BaZqwLc\nZCd0i1yPxwgggAACCCCAAALhFyBA8lHGzZo187FW4lW6dOmSeCGWcALt2rWzKlWq+NJo2LAh\nAZIvOVZCAAEEEEAAAQTCL0CA5KOMszVn0QknnOBjb8rmKocccoivtruVK1e2nj17lk00jhoB\nBBBAAAEEEEAgoQABUkKi0gvoAjvTHesaN25cekO8ElOgTp06dvXVV1ulSpViLlPyDZVZzZo1\n7bzzziv5Fs8RQAABBBBAAAEEEHACBEg+T4Szzz7b55rRV3vqqaeiv8GrMQXOP/9869ixo6lW\nKFFScFSxYkUbMWKE1ahRI9HivI8AAggggAACCCBQRgUIkHwW/KBBg6xq1ao+1y6+Wtu2ba1F\nixbFX+RZQgEFPUOHDrUTTzzRNDKdfqIlBVD169e30aNHW5s2baItwmsIIIAAAggggAACCDiB\n6FeU4CQl8PHHH6fd1G6LLbawF198MantsVBpAdUK3XXXXfbqq6+aBrkoWZu0/fbbu6Z4kyZN\nst133710BryCAAIIIIAAAgikKLBkyRJ7+umnTTfMn3jiCVuwYEGKOURfXCPtjh8/3m655RbX\n6iXX05IsX748+o6VsVeZKDaNAt9mm23sjTfesCOOOML8zI3UoEEDmzx5chp7wKqegGqGhg0b\nZhs3bjR9aSmphk99jkgIIIAAAggggECmBBQYXXHFFS67zZs3uxYsV155pd1444128cUX+97M\nr7/+anvttZdVr17dDjzwQLv//vtt4MCBNnHiRKtXr57vfJNdUde0CswmTJiQ7CqhXY4apDSL\nVrUS06dPtyZNmqSU06GHHmrTpk0rVeORUiYsXEqgQoUKpsBVTRYJjkrx8AICCCCAAAIIpCEw\nduxYFwSpZkc/a9eutdWrV9uGDRvs5ptvdrVJfrO/7777bIcddrDvv//e3fSdM2eO/f777/av\nf/3Lb5Yprff111/bypUrU1onrAsTIGWgZHUh/umnn9rzzz9vjRo1ipmj+syopkMnoGo7SAgg\ngAACCCCAAAKFI3Dttde61irR9lhBUr9+/Wz9+vXR3k74Wq1atez6668vWk6DSu299972ww8/\nFL32+OOP2zHHHGOHH3649e3b1xYvXlz0nh6ouZ/6Zh911FF2zz33uMDNW0DBnLoldO/e3XSj\n/pJLLrGffvrJvT1u3Dh74YUX7OeffzZNZ+O1xvniiy/cc02vctlll9kvv/ziZWcK6MaMGeNq\n00455RSbMWNG0XuF/oAmdhkswQMOOKCoydzs2bPtvffeM7XlVI3GYYcdlpPq0QweDlkhgAAC\nCCCAAAII/FdATeC8gCIWimpgvvrqK9tzzz1jLRLz9euuu67YewsXLrQPPvjA7r77bve6gp/L\nL7/cBVHqpvHQQw+ZarQ+//xz9/6ll15qGhX53HPPNQVbCoYU+Lz88svufQVFui7V+6r9GjJk\niL3++us2a9Ys22qrrVxrKAVA++67r2vhpOtYdSNRQKagSgNj7bbbbq4FlCoEFBz985//tGbN\nmlndunVD1XKHAKnYqZi5J6oi1Q8JAQQQQAABBBBAoPAFkml+pqb+f/75Z9oHq9qek08+2Vq1\namWa1kRJg4OpRkn9n9QqSf2UXnnlFdfMT4HbAw88YE8++aRbT8ufcMIJrsuBgqS//e1vLgh6\n+OGHXZ56f6eddnI1UWrGp+3st99+rnmfapCUrrrqKuvatasbjELP9boCv9tuu81tS69Vq1bN\n3n//fdNxhykRIIWpNDkWBBBAAAEEEEAAgawIbLvttq5mZd26dTHzV/O6li1bxnw/mTfUbE61\nNosWLbK33367qL96jx49XMCy4447usCmW7durj+URvTVoF8aMOKzzz6zL7/8smgz6gai9zRv\n5LPPPmtqMjd8+HDXHO7DDz90y6kPVcmkAE35qBVUnz59it5WIBQ5wJgGlQhbcKSDpQ9SUZHz\nIIgCqvZVW1rd5dAXU9OmTW2PPfZwI8VoxLrINGXKFLvjjjvstNNOc18gqobWl8HSpUsjF+Mx\nAggggAACCCCQskCVKlWsZ8+eRQFLyQwqVapk6qvTsGHDkm8l/VxN3Nq3b28KwhTARPZt//vf\n/+4CHAVKH330keu+oVofXefoR4GS9tGbG1J/Narerrvu6prUqbtHhw4dbNSoUW6kPPUbipXU\nFE8jNCvAisxPU6ocf/zxRatpnskwJmqQwliqKRzTjz/+aJojSB+COnXq2C677JLC2tlbVMHP\nwQcfXKrDn17/7bffXLvZxx57zLXFVUdFDa+pNr/6coi8s6N2t+pQqY6F+pKINZls9o6EnBFA\nAAEEEEAgLAIaqU61NBqQIPJ6Q/Mwbr311kVNz/wc77x581xNj/r5aChxNV+LTOpvpL5Ft956\nq/uZOnWq6y+k11WrpNqrI4880tQnXknXTBrUQTVauh569913TSPj6Yazktc3yZuqRs32vLTl\nllta7dq1XYCmJnVeeuutt0yBYNgTNUhhL+EYx6f2qLqLoA+R2rjqjojuCmjYct1ZyGdS2131\n30o0GoqqkjX0pfZbwZE+4JFfVjoGVRHrRyO56Dj1mIQAAggggAACCPgR0MhyChLU7EyT0SuI\n0VQvF154oavVUWDhN/Xu3dsFNRpsQc3YNGGsfr755huXpZq8nXrqqW5QBV0DaXJajZynaybV\nLqm1jeZi0vIahKF///7uJrECHdVqKWDSwA9K6rPkjZinZZU015IGopg5c6bLV/szYsQIGz16\ntFtXNVpHH320/fHHH275MP+iBinMpRvj2DTxmEY20QdFyftg6LE66qnGRR8CdfbLR43LPvvs\nUyrQ0b7FSvqS0E+8pMBJNWVqdqdRX0gIIIAAAggggIAfAU1Er+sJ/WQqqWZHI8opHXTQQcWy\nVdO4N9980w3LrVqj/fff31276Rpt8ODBbuAGraABG84880xr3bq1a0KnmigFOBrxrlOnTnbW\nWWdZ586d3XuqBRo0aJAbAEJ5qgWRbpyrP5ECrU8++cRuuukmN+CEBntQCx3VkF199dVuRLti\nOxjCJ+X+urCMf2UZsoNW1Ot3fHqPQu0xFVxE69TmLRPUv5ol+bzzzisKjmLtpz44F110kfsg\nxFomG69rKEtvOMts5K8vE9WQqX1voSSdb6pSV6fNsNSAaThRNZUMQ9I/Dd0xXLVqlS1btiwM\nh+SaVXi1r2E4IJWPmo6E5ZxTUx7dtQ7L+abvN33PZeL/c1DO1zB9x+l8Uz8Tte5YsWJFToi9\n79WcbCxiI7nss6xaHb83odViZv78+a7mKrJZnHco+m5QzVK0/kG6YazPWmTfJm89768ctthi\nC++pu25WzZNqyspKooldWSnpv45THxZNKubVHMU7dAWRqmlSVWsuk2qtspl0P+Dee+/N5ibI\nGwEEEEAAAQQQyJqAAiv1I4oWHGmj6lMeLTjSewp44wVHWiYyONJz3TQvS8GRjpkASQplJE2c\nOLFoZuRkDll3cF599dVkFs3IMqqRy3YNiQIkNbXT3X4G5cRlAABAAElEQVQSAggggAACCCCA\nAAIlBQiQSoqE+Lk67SnoSTapb9K0adOSXTzt5RTA5SKpBk1V0yQEEEAAAQQQQAABBEoKECCV\nFAnxc80A7Q3lmOxhahz8XCVvZJVsb09V09QgZVuZ/BFAAAEEEEAAgcIUIEAqzHLztddqc5pK\nh0CNZNKsWTNf2/Kzkkavy0VSkKgOtCQEEEAAAQQQQAABBEoKECCVFAnxcw3fGDmkd6JDVTCl\ncfVzlTSOfy6SRrTaZpttcrEptoEAAggggAACCCBQYALJd0gpsANjd0sLqAbpqKOOcmPpJxrq\nXMFR06ZNrVOnTqUzyuIrzZs3d7M8Z2sTGr2lR48e2cqefBFAAAEEEECgQAWqVKmSsz2PNQJd\nznaADcUVIECKyxO+N2+77Tb79NNP3Rj4GvY7WlJwpCEdH3300ZhDSEZbLxOvPffcc7bXXntl\nIquoeejL74ILLoj6Hi8igAACCCCAQNkV0PxiJAQkQBO7MnYe1KtXzzRZbKtWrVwQVPIOhmpY\n1D9n9OjRtvPOO+dcR03frrzyyqxsV32qhg8f7uYHyMoGyBQBBBBAAAEEClZA3RBy9aNpR0jB\nFaAGKbhlk7U9a9iwoY0ZM8b9vPTSSzZ9+nQ3eaya1B155JF2/PHHu4nEsrYDCTJWgKQmgPfd\nd1+CJc0NW96+fXsbP358zAlwFfTpR8HR/vvvnzBPFkAAAQQQQACBsieQSj/tdHV0XVLyJnW6\nebJ+5gQIkDJnWVA56UPZtWtX99OgQQMXaCxYsCAwx9CnTx/r3r276y8Ubc4iNQM8/PDDXTNA\n7fS4cePsnnvuscmTJ7uhzPW+RqvTTNLqc3TRRRdRcxSY0mVHEEAAAQQQQACB4AoQIAW3bMr8\nnmlUu88++8w5vPvuuzZ16lSrVauWHXTQQdaiRYtiPh07djT9aK4nBXqqulZb4saNGxdbjicI\nIIAAAggggAACCMQTIECKp8N7gRHo3Lmz6SdRqlGjhus7VbNmTVuyZEmixXkfAQQQQAABBBBA\nAIFiAgzSUIyDJwgggAACCCCAAAIIIFCWBQiQynLpc+wIIIAAAggggAACCCBQTIAmdsU4eIIA\nAggggAACCCCAQGwB9XOeNGmSffzxx25eyS222MLatm1r7dq1c4NexV6TdwpFgACpUEqK/UQA\nAQQQQAABBBDIq8AXX3xh559/vn3//fcuGFq3bp2bSmTjxo2maVQefPBB69ChQ173kY2nL0CA\nlL4hOWRRYPny5W4o7/fff99+++03q1Klim233XZ2yimn2BFHHJHFLZM1AggggAACCCDwPwFN\nKaIpSDZs2OBGy1VQpLR27Vr39+eff7bjjjvO/v3vf7s5Jd2LZfiXgkdNuVK1atWCUyBAKqAi\nU7Awc+ZMW716tRu+unnz5mnv/aJFi2zGjBnuBNYQ2k2aNEk7z0xloAljR40a5b6EIvOcM2eO\nffDBB6aR6h544AE75JBDIt/mMQIIIIAAAgggkFEBXS/p5qwmso+XFDT17t3bdt99d9txxx3j\nLRrq9zSS8P7772+jR4+2li1bFtyxMkhDARSZqnFPPfVU22WXXezYY491j9u3b29t2rSxJ598\nslQAkcwhTZkyxY466ihr3bq1denSxU0Yu++++5ryfeONN5LJImvL6G7DAQccYE8//XTcY/vz\nzz/tjDPOsLvvvjtr+0LGCCCAAAIIIIDAfffdlzA48pTUR+nWW2/1npbJv0uXLnU34Av14AMb\nIM2ePdtGjhzpagpUY1IyzZ0719UuvPXWW6YL5bCmt99+2w4++GBTta4CB92ZUJWl0sKFC61f\nv34uYPJeS8bh8ccft2OOOcY+//xzt7iqir31VTujtrV9+/ZNJqusLKPA7ccff0w6bwVIL7/8\nctLLsyACCCCAAAIIIJCKwHPPPVd0rZRoPV1Xvfnmm64pXqJlS77/2Wef2RVXXOFuYt9///3u\nWs9bRtd9V199tWs5oxvnY8eO9d5ywds555xjs2bNsmuuucYOP/xwu+WWW9x14+uvv24nnnii\nXXrppTZt2jS3jmrCtPxXX31lF110kR155JF27733lrqmfvXVV+2ss85yc1Gedtpp7riKNvrX\ng2j7u3LlyqLrSF2n6lq20FIgA6T+/fvbZZddZgqC1I5TBbds2bIi2xEjRrig4Ntvv7Vnn33W\nVWWGcVLQ7777znr16uU+kPqwRUsKbD766KOiEzHaMpGvqS/P9ddf7z4wCriiJW3rqaeesoce\neija21l9TR9iL3BLZUOXX365CyBTWYdlEUAAAQQQQACBRAK6LlqwYEGixYq9r35Jqa6jkfE6\nd+5sulmtFkMvvvhiUV8mXefuueeerpWPbiTrGk5BzcMPP+y2qxvoQ4YMsUMPPdQqVKhg++23\nn91111122GGH2Y033uha5qhFkm6QK3nLqxWRKiKUp7otnH766UWtdzTgxD/+8Q9Tlw69vmrV\nKhd4KShSirW/FStWdE0MtYxaKmnwikJLgeuDpEhW/UvUvGqbbbZxwYFOEkXiPXr0cEHTsGHD\nbPDgwbbHHnu46Fw1Hs8884yr+Si0Aoi3v9ddd11SF/0KknT8Z555pv3tb3+LmaU+DLrzECsw\nilxRdxb0wdIdhwYNGkS+ldXHN910k6/89UX0yCOP2AUXXOBrfVZCAAEEEEAAAQRiCajZXKop\n1XWuuuoqUy2NAhUlBUC6Dps+fboNHTrUVqxYYT/88IMbNU+VB40bN7Y+ffq47gblypVz65x0\n0kl2++23u8fqY67r6Xnz5rk+5ieffLILVnSt3aJFC7eMAqjHHnvMPd5rr71MP2q11KlTJzc4\nllrpnHvuue59BUtbbrmlTZw40fbZZx+Ltb/aR12z6zpW+0MfJMeX3i9djN95550uOFJOikJr\n165tixcvdhl/+umn1qhRIxccee+rcAux+s4dUIxfv/76q4vMFdQkk3S3QLVp8ZIiflXPJpvK\nly9vqlrNVdIdml9++cX35p5//nnf67IiAggggAACCCAQTUDXoltttVW0t2K+Vrly5ZRqThRM\naQhx1eh4SdfE7733nu28886udY26XChfLymA0gBeCoS8tPfee3sPbYcddnA3zr0BuLwb3pE1\nW127di1aXn3bFQB5LXkGDBjggjTVZN12221ukArVNq1Zs8bVMsXb36JMC/RB4GqQVGukHyVV\nBWrAADWvU5WhkgIHRcyRSQHTH3/84WpGdFHvJbWzfOWVV7yn7q8iWi2fTqpUqZI7MfQ3W2n8\n+PFuWESdhMkk1fhMnjzZBZOxltcHSB+saH26oq2jbX/99ddx84y2nt/XtK100vz5892+6hzw\nAut08gvKut55Vr16dTfMeVD2K5390J0u3fgIQ/Lu2qmcwnJM+p7QTRcNqx+GpO+EMJ1zYfuO\n8y74atSokVQLh0I4J8N2vslc5ZSr77hkbw7n8lzQ8N2qxfH6bMfbtq5BNMKu9/873rLee+q3\noz71+hxES7oWbtWqVbG3tt56a/c80qtevXrFltEIxV7y/l95z/W3adOmRU/1via99fr2q0+S\naqjUTE6T4J5wwgn2ySefuOUT7W9RpgX6IHABkuf4+++/24UXXujaO3br1s223XZb95ai3pIf\nUBW+mo3p5Klbt66XhWvDqVHeIpPmzol18kUul8zjbF48KOCJDPaS2R+drPGOTc3QkmleF7kt\nVefGyzNy2XQfa8STdJLMIvdVX1BhSoU4j0A8/8iyirdcobynf4Sp/DMM+nGF6Vg86zCec96x\nheFvtWrVwnAYRccQtvNNAZIXzBYdZJYeJHtzOEubj5qt+sYPHz486nslX1RtkJqXpZI0dYlq\nqXQzWzVFSrpmUxO7iy++2A0ZPmbMmGJZ6rmuddS9ItXmfF5GqqFq27ate6q+/xrkQX2ddDP9\n2muvtX/+859u+1pAgZgGh9B+JdpfL/Dyu1/e/uXrb2CvIFXFp9E5VIs0cOBAN1qb+sTon3bJ\nAQu857rDHpk6/dV+smSzq/r167vapsjlUn2sL3GdHN7EYKmun8zy+mJN5i5FZF66k6CatFhJ\ngWUqQZfuICfKM9a2/Lzu1Rz6WVfrqPx1/PqyUBkpuAtD0rHofNANAAWBYUi6kRGWgVX0OdHx\n6B+6d9et0MvI+/4J0/mmO6NeU+1CLx99x+mGSZjON33P6SaZ9/+80MsoTN9xOt9Uq6AO+vrJ\nRdLnNWg3BXU9pABJcyFF1tiU9ND/BNW8lKztKblctOcaVU4BifoH6RpWAzBoIK4nnnjCLa7X\nBg0a5PrcT5061Q1kpsEVdMPeb1CpvBWQKaC54YYbXCDWoUMHdy2la2ZVTOiaV/mrH7uufb1t\nxdtf77OsaWU0SEOdOnWiHXJgXwtsgOSJaZItRc86IVRDovaTJYeAVvtLfRmVrNHRB1o/kUkX\n0On+09d29OFIN5/I/Sr5WBOMpRLMaJ90gsfbJ1WPJtu8Tvuj7R944IFx8yy53+k8V1CsL5Z4\nXzzx8peZd/y6Y+E9jrdOIbznndfZPudybRGW8vHujukfSFiOSccSpvPNK6OwlI8uHsN0vnnf\n+bqgCksZ6fs0LMei800pl+ecgrIgJnX3UN9sDQ6mLh/6btF5q/3VNZNuRGu+pMh+Pakch0YZ\nVgsqDdGtCgHV5GhgMt0A7tixoxtMQQMjKJDRNo8++uiiARZS2U7kshpsQYGXylc1URpN2Gup\npYoJDZ6lEaV1014T4KqrioIzpXj7q/c1RoACSg1bXmhzVpb7q3BTH5ZDR52lpNHYNDrGPffc\nU7QFDT6gET1UlahhqhVRa94b7wOk4ag1Ioc31GHRilEeZCJAUrWivtBTCTai7ErCl26++eak\n27vqjq/6ICWK0DVM4wd/jRKY6ItbX4jq1DdhwgQXtCTc2QwtoPat2qafpNpCTTCrLxWVUVhq\nKHQsakaqu9/ZrLX0Y+53HTUj+O233/yuHqj19D2k4F53VlXLF4akf44618Jyvql89J0WlnNO\nzZxU4xKW803fb/qey8T/56B8/sL0HafzTTUJqrHMVcsM73s11+WZbFN/BUUa6U21Oxr8Sjfv\nNay2blR7NzUT7Xu8Vj367tW+eH2MIvPSZfvPP//samXSaQqtWiB9j6iJnW6g6/tE35XRkrc9\n77q75DLx9lfnjAI83QAvpFQ+aDurKFaRqSJ0nYBffvmlvfDCCy66FbDXLlOTyCra1VjxGshB\nbSLDlnSXQH2vEn0AdNJp2PNEwZF8dDdA/4gSnah6X3cMEi2XaXNvaMtU89VILQqOSAgggAAC\nCCCAQDYFFChoviLVrugmvW5oq497ssFRon1TPtGCI62nmz3JXBsm2kbk+wqCYwVHWk43zGMF\nR3o/3v7qBkiuryW1T+mmwAVIOiE006+qKFWVqXHed911VzcrsA5WhaA+SS+99JKrutMEoRpZ\nJIwXxwoIVVOmpmPRTkyd0PJQzZmqY5NJ8lX16XbbbRe1s6XyU7NEzRiteaZyndROVeWbSlIA\nKScSAggggAACCCCAQGIBBVoKinQtSSotEMhGnpoYVmO7q2OYqnVVBRiZNE67LohVranCTaWv\nTmQ+hfBYxz969Gg3Ue6oUaNMQ5erKlOBhIIiTQ6rZVJJzZo1c1XDqplTIKSBMNRkUHck1J61\nZ8+exUaDSyXvTCx79tlnu2O85ZZbEmanpoUazCNVg4QZswACCCCAAAIIIBBSAd0QD0uz42wU\nUSADJB2oaky8ia1iHXis6sdYyxfy6+rw57fTX7Tjlq9mN9aP2s7qeeTEYdHWyeVrF1xwgZss\nTR0hv/vuu1KbVq2RBu/QbNHRatdKrcALCCCAAAIIIIAAAggkIRDYACmJfWeRkAtomMt3333X\n9UV755133Nj8qjHSLNG77bZbyI+ew0MAAQQQQAABBBDIhwABUj7U2WZKAqoh0lCR+iEhgAAC\nCCCAAAIIIJBNAQKkbOqSNwIIIIAAAggggEBBCKiVSq6SBkkgBVeAACnDZaP5hSZNmmSaOXju\n3LluriSNCqdhqPfff3/bZZddMrxFf9l9++23duedd7r5ozS3gcbV16h52s8LL7zQDV/pL+f8\nrKU5qTR/0hdffGG//PKLG3RCcwyomZ7G92/evHl+doytIoAAAggggEBBCCSaVqUgDoKdzIgA\nAVJGGM0FQkOGDLH777/fPVazMG+SRd0l0GghmpSradOm1q9fPzdefoY2nVI2b7/9tpsJWZNa\nlkwrV650Mzhrol7t/7XXXuuCpZLLBem5JjbTHFDDhw93fZU0oqFme1bSYw1fKXfNDn3jjTda\n+/btg7T77AsCCCCAAAIIBERA10G5SropTS1SrrRT3065v2oONqe+WuGukYmZujXRqobFVq2F\nkmqLzjjjDDfDtHdxHk9IwYfmNho2bJgbQS7espl8T/NKffXVVyllWbduXZs8eXKpodZTyiRL\nCyvY02h3qrVL5K4vIf106dLFNBltLqvR0z18nW+aaG3x4sVFQXe6eeZ7/TDNMq/Ps6Yb0E0H\nBexhSKp91Q0e7yZPoR+Tykef/7AMaasbP5r+Iiznm77f9D2Xif/PQTlXw/Qdp/NNU2motcmK\nFStyQux9r+ZkYxEbWbp0acSz7D7U92yYp6nJrl72c6cGKU3j1157zV2kK2BKNtbcsGGDm8/o\noIMOchPeqllbovTll1+aaqjmzJnjLsQ0xLku9k899dSkJvnaeeedbfny5Yk2U+r9JUuWWMuW\nLV0QqC/8ROnrr7+2jz76yDVz0wWJhmrv1KmTa+qWaN1U3v/Pf/5jAwYMsE2bNiW1mspGP++/\n/76bgFgTDeuiiZQ7Ad1QGDdunAvS9Vj/dFu1amX6HOgCiYQAAggggAACCARBgBokH6Xg1SAp\nENCktgp4/KQKFSqYAh0NYa1+StHS1KlTTROnxpqjSHcfzjrrLLv55pujre5eUx+cH374Ieb7\nybxRtWpVF5zFWlb9rvr06WMzZ850F75ejY4ugnUXWkNz33bbba6pW6w84r2+aNEimz9/vmk/\nNC+S+kklGxyVzFdtjBUwagJeNX0Meir0GiR9Ph5++GG79957Xc2rAlXV+qkcdP6qHM855xy7\n4oorXD+4oJdHyf3z7nRSg1RSJjjPqUEKTllE2xNqkKKpBOc1apCyUxbUIGXHNVO5ls9URmUt\nH10MqVmd3+BIXqp1+v333+3KK6+Myjdy5EjXVylWcKSVdHGpmqWOHTtGDRg0EEO6wZG2o348\nRx11lB6WSkOHDrXjjz/eZsyY4WppFBB5NTZeEx01Qzz88MPtlVdeKbV+vBfGjBnjahhat27t\nJspVbVTv3r2jHmu8fCLf08W59vWOO+6IfJnHWRBQreVxxx1nd999t2uSqsBZ/kr6q/NDf3UO\naxj3eOd6FnaPLBFAAAEEEEAAgVICBEilSJJ7QXfE1R433aSLw7Fjx5pqiiKTRmS7+uqrI1+K\n+3jWrFl2zDHHlFrmvvvuK/Wa3xfUF+nXX38ttrpqYW666aaEAYsCJgWTF110kX388cfF8oj2\nRMtfddVVdu6559r06dPdInotU0kX6o899pj9/PPPmcqSfEoIKHhX7aaah3o1iiUWKXqq93/8\n8Ufr0aNHUd++ojd5gAACCCCAQAAF1A9QXR/UHYEULgECJB/lqYs5NRfyakd8ZFFqFeUXmXRh\nmWpSAKM+UV669dZbk+4X5a2T6G+vXr2KFtEXg2q/VBOWbNKyah6X6IL5rrvusueeey6tGrpE\n+6Q+UurLRMqOwNNPP+0G+PBqjBJtRQG0giQNokFCAAEEEEAgiAJq8q8bw2qq36xZM9trr73c\nVCKaTkTXRNx4DWKppb5PBEipm7lBCLwR7HysXmoV3WnX4AFqxqb0wgsv+BpQQevecMMN+uPS\nM8884z3M2N9p06YV5fX4448XNZcqejGJB7rTokESYqWffvrJDZee7IV1rHwSva784+1HovV5\nP77AoEGDEgbCJXNQ4PzQQw8VfRZKvs9zBBBAAAEE8iXw6quvur7UjzzyiC1cuLDYbujaZsSI\nEdamTRtT1wNSYQsQIPkov88++8zNE+Rj1ZirqPnYN998495/4oknYi6X6A19YL05jnSXI9Mp\nsrbo5ZdfTvkCWPujwCReX6Tnn38+476xHDSsbMkvuVjL8nryAjqX1b/OT9INAw2AQkIAAQQQ\nQCAoAqNGjbIzzzzT3cCL1QpG1zdqDaF5JO+5556g7Dr74UOAAMkHmgY9yGTzOu2CRvSaN2+e\n2xu1Z00nebU8meyzE7k/6lOilM5+ev2KIvP1Hqv/VawvH2+ZTP3VSIKee6byJB8z9YnTiIN+\nkka202iIJAQQQAABBIIgoIGdLr744qS7FChIUjeHbN/s09yW6pIQK+kGsKZESabPvALAyG4a\nsfIsK68TIPko6WzMtKz+MF4TO++vj11zq5QcSMFvPrHW04Sl+vCnE8TE+7DmcvJDXYyn6x3L\nqSy/7mfOLc9LNUjprO/lw18EEEAAAQQyIRDZfSHZ/PS/TDVJ2UwKkP75z3/G3IRGhu3fv39S\nAdKzzz5rb7zxRsy8ytobBEg+Srxu3bo+1oq/imp7vMkyvb/x14j9rjoKZjNtv/32rglc9erV\nfW8mnuE222zjO99UV1STwXS9U91mWVi+QYMGvgcIUa2eZm0nIYAAAgggkG+BpUuX2rvvvpvy\noFG6rtO8jap9ylb6xz/+Yb/99ltGsn/xxRddH+CMZBaCTCqG4BhyfggtWrRwzYcyWfOgJnte\nYLP77rv7ng9GNVGaM0hJF5qRfYYyBaVRW5S0n5988ol7nMov1drss88+MVc56KCDXLV0ppsx\nRtug7vAo4CNlVmC33XbzXTOnNtzq5EpCAAEEEEAg3wITJ0503SD8XJOoqbmmNtlpp52SOgyN\n4tqyZUs3f+Xrr79ujRs3dlO+6LpJAx8pGDrppJPshBNOcPlNmjTJNGKsNxKyWvY8+uij9vbb\nb1ujRo2sW7duxbarKWU0/cvcuXPdNacmad93333dMg8++KDVqVPHevbs6bYVral79+7d7ZBD\nDnHLq7+8muTpWvjvf/+7a4KoidPDkqhB8lGS7du3933xF2tzNWrUKPoAXXDBBbEWS/h6q1at\nTB8kpW233Tbh8qkuUKVKlaJV9EFR36lUk/ZPE8vGSnovVx+yHXfc0TSbNSmzAk2aNHEj/Shg\nTzXVq1fP9txzz1RXY3kEEEAAAQQyLqBuC951VaqZqztCKhOga17Ms88+2zRa3sEHH+xuFh95\n5JFunktdq2hocQVIU6ZMcbvy/fffu5HzvP3SNCq33HKLHXDAAa4bxCmnnOK95Qak6tSpk7vB\nr8BI/5/btWtXNNfkW2+9VdRnSjfCd911V/ejm+4adEkjF+taVenSSy91Q5qrwkDbUj8oL2gr\n2mCBPwhPqJfDgtDdbV0AZmqsewUZxx57bNEHULUrunDXiZ9qipxD5oorrrBLLrkk1SziLt+l\nS5ei9/Vh+Ne//mXz589PujmVarX0odPdhlhJXwK6G3L++ednpQbM266CPU1MSsqOwI033mgn\nn3xySmWoz0K/fv2KPgvZ2TNyRQABBBBAIDkBvwMOKXcFVpE3lpPZooIQjRKsG8W60X3ccce5\na63LL7/crT5u3Dg3ErDmX4pMGqDrscces6+//tp22WUX95autzQ3k5Je1yjHGrRhq622coGW\nbqpHG9BLN8C9pJGb+/btaw8//LALqFSzpGvNJ5980v2P13K6HlSwpH3r2LGjt2pB/6UGyWfx\naZIwP7Un0Tank1PReGRSW9BU8+/du7e7u+DloxM2nX5CXj7eX91t0AfES/rwDh8+POn91Pra\nn2QmZz3iiCNckCSDVB28/Uv0V19ap59+eqLFeN+ngGpazz33XKtcuXJSOWi5ww47zCK/mJNa\nkYUQQAABBBDIkoBqU9T0229KtRm/ui94rWh22GEHt1n9b/TSlltuGbVW6osvvrCtt966KDjS\n8pHr7bfffqb8FMjo/+ywYcPstNNOMwVJsZImb1cNlkbwU82W0uTJk11QpcCpT58+7mfIkCFW\ns2ZN916svArtdQIknyWmZmCq6kz34l0XhaoSVVvRyKRO7qrurFatWuTLMR+fddZZxSaJ9RaM\nrFHyXvP7V9tQDVBk0l0KzVukdqvxLPSePrijR492tW+RecR6LGP1cdK8A6qxUx4KsPTXT9Ot\nyO3oy0dBrlddHPkejzMnoNogBUm6ixaviYLOq6OPPtpNEJy5rZMTAggggAAC6QmoVU+qtUDe\nFhVYqV91KinaIEXJdAXQYBLqVx1ZI+QFWtq+AphPP/3Ubr/9dleTpO4c6vv+/vvvR909TXzb\ntWtX081OreMlbUf5ysT7366/CqJUYxWWlHKApHaGZ5xxhgONLISwgCR7HLpAVwc1jYAW78Iv\nXn4KjtQ57uqrr466mDr1acLNY445JuY2NOKbAhS1OY2WdPcgE+1Cdcdh4MCB0TZhe++9t+uE\nqDsRCmB0sasqaf3IRh9sBYHjx48v6mcVNaMoLypw7N+/v/tQ//TTT67ZoQLHZGslomTp1lXw\npeZfpOwK6HNy3XXXmWpEveYAXqDrlaHuXg3/qyZy8ODBaZVrdo+E3BFAAAEEyqKAggFdw6Qa\nJOl/3YknnmhbbLFFTtjUd1eDOKgmyUsafc9Lahqnvk0KjDQAhJbV/99oN9I12IO6fugad8SI\nEcVuSqsLiAI/1Szddttt7kfXh3pdA0yEJaXcB0l38gWizlrN/qp21EWxmil5I7CFBSaZ41CN\nyAsvvOD6sWhuoFSqYL3gaOjQoTGDH+2DgoyHHnrI/bzzzjumEUhWrFjh7HXHPdqdhpL7rhFL\n9EH48MMPS76V1HONoqJ2pfGSOtbrA6JaGY3L/8svv7gPlNdZ328QGW2bChw1aovOPY2eok6Q\nySZ90an5XryJ1ZLNi+WSF9CNgFdeecUWLVrkgn6NrqjgSWWZy2Hdk99jlkQAAQQQQOD/BVQ7\noolU1ec6mdGB9f9NNTa6wZurpJvVqsG5+eabXWsMXZdqRLvIpAoOBXoKfjTfoGqJOnToELmI\ne6yWO7Nnz7Y333zT/d/2FlCrJvUh1/9u9TPWjU0129OkuI888ogb1txbttD/plyDpDHXNSKH\nThQ1r1KwpKhRwLrY18V7WUo6SRS4HHjggS7QSRQI6I6CLtI1AIEM9QFKNmlEE9U26eRXc7dk\ngiMvb21LgzakmlQDpXamySYdmwaxUBBy+OGHm4Z7TmSSbN6Ry7Vt29a5K39tM1FSQKpgUwGc\nhrJUOZByL6BzVt8VGoWnU6dOBEe5LwK2iAACCCCQooCu1V566SXTzeBE1w+6JlHzfbXu0Y30\nXCVd42jYbd2g1nW5bkzqOsxLqt3RpLJq+q5uEeobpRHq9DwyrVy50p566ik3EJne10AR3k+v\nXr3c8euGpwZ80PvqEqKaKtU06XFYUrm/msltTudgFi5c6CA1A6/GY1d0qeZLij51AaQoOkjp\njz/+SKmmJ9q+64OiOwirV68u9rbadmr0NdXU6Li9JkQi1vj5slHUftlll7mx7YutnKMnqjbV\nxan2NV7Rq0ZQQZVqgIKeNN7//fff74a9VPM+fXnJX21xVcOk6m01p1O1cipBZVCOW+ebqrl1\nN8jPPAxBOY7I/dAIOqrVDEPSP0N1mtU/i2XLloXhkFyzWJ1rYTnfVD76TgjLOaf/Lfp/Epbz\nTd9v+p7LxP/noHwAw/Qdp/NN/zv//PPPnN0E975Xc12e6l8TL2m4a40OrKb+2kddU3lJ1x66\n7lCfJQ1o1eyvVlbxkrofZOMGsrap/dTnSkFTtKSKDl0bxXo/2jrRXtN3kFrxFOK1VbTjiXwt\n7QDJy+zbb7911WtqDuZVPypaveOOO1xQ4C2X77+Z+AKOFSB5x6YLJQ23qKpYBVH6ECjgUFvP\nkoMceOvk+q8Ch+F/9fvQHRE1e9KHWvupzoQK4PS4kJLOOQWm+tKaN2+eOx6Vk9rkaohM/bMq\n1ESAFOyS8/6REyAFt5wIkIJbNtozAqRglw8BUunyUVcCDcWtm80KRrz5+4466qiiiVdLr1X8\nlWwGSMW3xDM/AmkFSJqJV9VwGgtdgwnoQ6STQ7VHCgQ0R47u7qvpndo9BiHlIkAKwnHG2gfV\nQtxzzz02cuRIV5OmOx66A6LaJJWfAiX9qFpWneubNm0aK6tAvK4AVMOG626NmnfqGNQXTMfg\n1STp+DSR2Q033OCa/AVix1PYCQKkFLDysCgBUh7QU9wkAVKKYDlenAApx+Apbo4AKUWwJBcn\nQEoSKk+LpdwHSdVpGu9czedUfajJo/Th0UAAavf43HPPuYvrQw891HXuUjtIBUik/AtoJDF1\n4lM7UdUgqdZFfxVMeM0AFVzo9TFjxrihHe++++64TfHyeVQaAlxV2Qr4dF7qOLzj0vEoMFIT\nIT2eOHGiOy810VpYmg3l055tI4AAAggggAACYRVI3Lu9xJGrVkiDBKgjltphqrZIk1pFS2pb\nqRGqctlJLdp+8Jq5Mewjmz8mMvFG5FPgq6pk1dKoRiYo6ZlnnrGrrrqqqDlnov3ymn2qSaGa\ng2r9XA29mWjfgvi+gko1E9WEcGo+oFosjVSjGbL9Tj6sMlBzBJ1PCmR1Y0WDnLRr1849zrbD\nrFmz3LxaanutUXy22247dzxqGkFCAAEEEEAAAQQ8gZQDpD322MMNbd2tW7ekLmo++OCDwA3U\n4B18WfmrvkZqguYFCakctwIllaFqCjX6SRCS9ieV4Chyn1WrNH36dBfYq7ZTzaNIxQU0P4JG\n+1MgoSBG541udiho0o9GUNSIiGoWk0zSOqq1VH9ENYNUoK081QxXf/Vc/d40oay2l+mk2kON\n0qPAWB3b1aHU6xir80HzjOl9hhvPtDz5IYAAAgggUJgCKTex+/LLL90cMqpJ0oVmohS0UewS\n7W/Y3lffMF38pTJXUEkDXURqlEJ1SMx30oASGmbST7Dn7buCPs0npaZ5pP8JqIniNddcY717\n93bNZb0mi/JSs0SdB3o8bNgw05DzP/744/9WjvFIAxf07NnTzZeg0YFUbqo9Uj7eXy2j4Fvz\neql8M5l0Y6B79+5FczOoz5p3PF7zSw2LqnkdVFtGQgABBBBAAAEEUg6Q1Nldd9110a1R2fSj\n2gUN8a07xaRgCWgir0wEqQqw+vfvX2xIy3wcqQLzdII9b591sa/5kMIy7K93XOn81US/CoQT\n+cpO/Q01nH+8IVH1faBg6+OPP0543ihP1fAomNLjTCRNJqx52hSUxftuUsCkCfM0/L0mxiMh\ngAACCJRNAQ2ckKufTFyblc1Sys1RpxwgHXLIIfbRRx+Z5j9Ssxn1P9LsuZq4s3Hjxu6CaOzY\nsbnZe7YSV0B9SNS8KJ3alsgN6GJYfXjylTTj8xNPPJGxC2gdR8lZpvN1bPne7pQpU1w/s2SD\nE51TGhFywIABMXddg4KoOWSyeSpQ+e677zJSJmoe2KdPn5TOfe2nZksnIYAAAgiUTQE1v87V\nDwFSsM+xlAMk73A0KZTu9moyUXXifuONN9xgDAqWDjvsMG8x/uZRQE2HMtmnQxewuujNV9KQ\n8ZnsM6QL4nweT74co233zjvvjPZy3Nd0PqjGSbVJ0ZL6HGmZVJLKRJMtJxtUxcpbTetS/eej\noE8DSEyYMCFWtryOAAIIIBBiAbUm0Ki4ufiJ17IhxMQFc2i+AyRd+KjpjJrldOnSxU0G+8UX\nX7iRwY499tiCAQjzjo4fPz6jQ1rrw5zPfhoaAS3dC+eS5a2aBtWElOWk2dE1ZLr6HKWaNBqc\nJuctmWbOnBkzcCq5bMnn3ndLyddTea7+cn7OFQVVurFAQgABBBAoewL6P6hrnVz9lD3hwjni\nlAOkd99917p27Wp169Z18+Tceuut7k6t+rqoH5IuNrkrH4wTQBP5Zjqpk7vurOQj6aI703dc\nNJLaTz/9lI/DCcw21e/Gr6sGWlCzuJJJryl48pNUJjNmzPCzqltn5cqVrlbbTwbqf6WBaEgI\nIIAAAgggUHYFUh7j+MMPP3STiKrploblvfbaa6158+ZlVzDAR56tCVE16lidOnVyfuTabqaT\n2hor6CvLSX3L1HTRT42L3KLVwCnPVJu4eWWgpm7xBn/wlov1V33V0knprp/OtlkXAQQQQAAB\nBPIvkHKAdPrpp7u5RP6PvTOBu6na///qf+/93cbbpEJJA1FSEiqVpFCkgRAikQxlDJWUIVJJ\npHJJg6RBAyWKRlJSIgmhkiZJpUnDvbfX7/691/2t5+5nP/ucPe+zzznf7+v1POecvdf4WWuv\nvb7rO6FWQ3wdjNxr1KihzjjjDO36l0CSeAARyj0CBPSMg6kgaGguyGvcHT9tYzOeq/74aWec\naQmU6tdWyLQHJsgpEDQ2ikGlUkiQwgRvpe4wRBBsIUFAEBAEBAFBIBMCaBvgBIsA5ISnQKvq\n0EMP1YHPg2pPZKpLrucGAd8MEtIivEPxx+Z70aJF2gYB1bs777xTB3+sU6eOtmnITZekVoPA\nIYcc4ni6b+4H+YRJiYNR8dKW6tWraxsomJqoCH3jypUrR1VcXpZTpUoVLUEKwiTxIqhZs2aZ\nfnMN9bsgRDuOOeaYIFl1HoLB4lHzyy+/9F0GQWvr1q3rO59kEAQEAUFAECh8BHDiQAxFhANo\nXfDOYB+BNgpME58dOnTQe+T99tuv8AEp4B76tkGyYoGEAnukQYMGqauuukpLkAxXbU0n33OD\nANK8nXfeObLKefCJg5UrwpU8bYiSYCI5+SlmgqFo1KiRPtzwiwPPO67/7QTTWbVqVftlT79h\nwMMyKRdeeGEgD44w3+eee66ndkoiQUAQEAQEgeJBgADztWvXVnhJRUDA+w8VfcwZrEHIZ8yY\noWrVqqVeffXV4gGnAHsaaLfJyTAulwcOHKhPejmt7dy5sxYzEheFSSSUewTY6EVph4TqE8FB\nc0VnnnlmpAwS0o82bdrkqjupqheJsF+VOOwQu3btqjKptF1//fW+mS5O4wg8zVwLQ927d/ft\nEp66Tz31VB3bLUzdklcQEAQEAUGgsBAgVmDTpk3Vtm3bXPdVSJZgoFq3bq1t9gsLieLpjW8G\nCbEi9gGcGqNSV7FiRXX33Xerzz//XDGB8GYH5yyUewQ4wScmFRu/KAhGuFmzZlEUFaiM3Xbb\nTfXq1SuQZMCpQhwTXHrppU63iu5atWrV1NChQz0zFcwp9K0HDx6cESsY2nbt2nkeLxiuU045\nRcdXy1ioxxt77bWXmjRpkmdGC4YMyRUxmIQEAUFAEBAEBAGDAI57YHaQGPk5SEQjofMO4cGm\nTZtMUZF/Ervv1ltv9VQu7UGI8cknn3hKX+yJfDNIcMVIEQgQifeq+fPn603rQQcdVOxYprL/\nnOIH9SZm7RAbyJtuuilSCY61fK/fYZDYyIbtExt8pCa58Mbnta9Jp+vRo4eWCqPGmE2VEUbm\nqKOOUk8++aR22JKtncwZpHRuEiHGA5XQqVOnhh5b0x5ziAMjnC3AMP3B0QSxk5wcTpjy5FMQ\nEAQEAUGg+BCAASF8hB/myKCEfRKHj3ERDNJtt93mqXgYpFGjRgmD5AktpXbaMeD/9pi2IJLB\n1AUxRrd2Hq9nTLR8cQ89b948xeaXNgchNq9XXnmltjULkj/qPKtWrVLnnHOOPs0JUjYbYqQb\n9957b5DsiedhvsEUehHtR9E4JMGcMhEUGDVEwyyhrglDOWDAANWpUydfksmXXnpJB5XG4w92\ncZTJi4MykUKjVkeA6bCMr1P/ifNEQGvaAKNkmDXUIOjfZZddpud3UG+GlIkxLodHuYoR5tTv\nMNfwRMrYRKmiG6Y9YfMyPsytrVu3hi0qFflZw7AdLJT5xvrG8xfF+zkVA7SjEfvvv39BzTdU\nqQkq/vPPPycCsVlXE6nMUok9xAT7PGxqw+4b16xZo991lqq0x2fzfrVel+/pQMC3FzuazYYb\n9bp169ZpuyOnriT1EDnVLddKI9C8eXMt/RkyZIhvJonNZMeOHbVkoXSpufuFh7MHH3xQ27+w\nyWWj7ZVg9rAzYf4KOSNw/PHHqzlz5qivv/5arVixQm9aUG/E2x3e6YIwMTCk/BGUlxMvXjbM\nLTwTHnHEEc4Niejq4YcfrqbtCEnAZhKm76uvvtKM0cEHH6zoazbpUkRNkGIEAUFAEBAE8hCB\nhQsXBnrnWbvKoSDaVl26dLFedvx+11136XcianDstTFtwBEajNTYsWM10922bVuFIyLorbfe\nUo8++qhWD+e9ipYNB46Yw+APAFOL6667TlWoUEEfKvfs2VM7VYMRfOihh9TEiRNLDg0pr1+/\nflrrA4dcGzdu1PfZ6+OU7aSTTlJ9+/bVavO4OMd7NXZZOK3gvUq4H/KbQ0jKy2fyLUFasmSJ\natiwoQb6uOOOy+ip6rHHHkslLlGcUOWbBMkMxBtvvKGuuOIKHYQTxiIbcULJxnH06NGKhzGN\ntGHDBn36z6bb7XQHxghhKQ83EpAgm/xcYZC0BCmJfhbS6ao56RQJUhIzJ1gdIkEKhltSuUSC\nlBTSwephP1CsEiTsUm+55ZbAYStAnP0Gmgp2WyEk9XYJUosWLdTKlSu1syDUxFE75xCYPQxe\no3nfoLr+9ttv6wO+hx9+WPXp00cLK3CghmQZm2KYGULuwHCRh4NJozWBNgUHzTBfc+fOLfFE\nyx6R/f0XX3yhNSI4EG3ZsqVmgtDcgRFCG4l+wFyxlyJuIHtE+sF+EWYMXwSFQL4lSJwso6q1\ndu1affpbCCAUSx9OPvlkfdqA9GXy5Mlqy5YtWt3JyizwgPGyuvjii7XaEcbuaSUkD8ThmjVr\nlj7lQH2LhdxKGFVy7fzzz9enJiwIQoKAICAICAKCgCAgCLgh8M0332jGwi1dtvsczm7evDlb\nklL30NjAJhbGplKlSppJuf3221X//v11OvY9zzzzjGaQSmX8vx/Y/Y4cOVL/gllq3LixlvBY\nPc5yaAQzhktyGDEIpgcmDFtcJF4wPjBoMD/EdgILJEeGEDi88sorJbEQiT2Ih+uiZZAQ+yF6\nQzVGKP8QwObi8ssv16cZzz33nFq4Q3zMJOcBxr6EWEPYgnAKkQ/EyQqLCJ4VeYiN6hZtp0/c\nZ7GB0eO3kCAgCAgCgoAgIAgIAl4QYF+E9CasPaaVOXGr99hjj9X7GtKhIg7hkdgQzA0H3Jmo\nXr16JbdQJYdwMmFvA1588TSL9gNqcThfu++++3R66mu4Q5oEA/TBBx9ooQiSp/Lly+v7/GOf\naA0UT11ItgqFfEuQcOGNGE4oPxHgQUB6hIMCbDLQjYWJgHmAwZg9e7b2uIJLS4L/ogqVVlq2\nbJlWmePUwqpih9TISt999526//77tU5ut27dtPc6GEUhQUAQEAQEAUFAEBAEMiGAgwarlk2m\ndNmus88iLIZXsjMy5EMdzytxKGyIfR3kdEAME4QKP9IoNG1gknCABaFSh30R17HbRgMJJx3r\n16/X9/mHXZKVqMupHmuafPr+H+R8tBj9QwDr3bt3aI7aR7WSNAIEEH1ilI5RHgZ6TGQTBRrd\nVNTrUJ/kc+bMmYpTCHOaEEH1kRaBWBjdWC/2R1RsnDk88MADigC6iIqFBAFBQBAQBAQBQUAQ\nyIQAjgfCSo/Ij5OitBHaN3ikZb+HowdMK5CWQcOHD9eaYjhqYL+FcwcO04N6Q05b3720x1WC\nhGcKq2iPQpFCYPhFIEa4a2xW7PTee+/ZL8nvHCKAcR0GdExwL2ScOODumZOE8ePHawmTW15c\nUb/55psKqQ6nEdj8cPLgNEfcyjL3mUs8wJSJSJdTDHRwgzyo9AuPLMxpxMV77723qUY+E0AA\nV6erV6/WLxwWZ1R1cfYS9oTOS9Pxyof+NKoJHPKwdmHImi/qpF76KGkEAUFAEBAEokMAJwQw\nN6+++mqg0CK824488kh19NFHR9eoCEtCza527dq6RPZuhlClI0QGh+hIpPA/QOxDvOIVC7ky\nSAyuXR0JPUOj11gsQOVzP5nUeD3xyhxZ+4q6GuJXbHyGDRtmvVXqO7ZpMFNIqdh8GkJKBSOD\nkwTcjONq0is98cQT2iMKDFGUhDoedledd0S4fuqpp0p0faOsI1dlEfGb59Uu+g7aHsYPphcx\nvH0d8FMmc4gAdRiqom5AuawtnKxhH3b11Ver9u3bx+IeFIaMucviT90QdTMvaQenZgMHDhRm\n2c+ASlpBQBAQBIoEAeLocdAbhFA7wwteWolDSmyeeBfzaQgPdbw7cdjAe5ODTNyM867+6aef\nTLKC/vTt5jvf0Sg2N994dkNEbLfL8TuOSIOwW0In1U54OzGBaDNJdZAWsMHGSwqOINyoe/fu\n6tlnn3VLFuo+jBzxAqgrzeTm5hupDBI+jClRj4SwHcMDDTERMDL1S7jzv+OOOzRTYeYOEhfE\n8Zw4GUbDrVwkdrhWxyGI1U7Mno+xqFu3rrYVCyNttJf7yCOP6AWd65nmJnWj342KQY0aNexF\nuP5mbmM0K26+XaHKWQJx850z6D1VzDPPOhfF+9lThQkkKqRQBqyR2MUUY6BYM1WMW2vzPjTX\ns32irgajcc011zgmc3Lz7Zgwhxex4Wb8o3wv57A7vqr2bYPkq3RJnHMEkOpEQWwur7/++jKM\nFhtpHB+wEc60AaV+FhW8qFx00UXaG0q2NhEULW7miPpp82233abbla09ab6H6iRM64IFC0qY\nI9q7detWNWXKFO1x0o+6K1JGJH0wV6+//nqp8cbei5Ow008/XX322WeeYMEt6fPPP5+VOaIg\nxgKnG0j1ss0jT5X+XyJUAjjtorxsZVI3UrJWrVrp+A9+6pC0goAgIAgIAoWPQMeOHdWYMWO0\nloNxfJCt1xwqczjIOyifCca4GJkjxkwYpHyeuS5tx9YmqN6sU9Fsutl0GkI3FZfh2TafJq35\nRIpAnkzqftg7EfgsKYJxs/YpqXqjqAecWLDB0mkM2PjjjIOI214ZGuzUkLpQHupndqJMgsjh\nIAMviNkIqRGMLnm8EOmWL1+ucKQRljj14uXkhItT2WCIBIiAe0KCgCAgCAgCgoAdAYK9ojFD\nkFWYJLvaORIjGCNcc+Mym6CpqHML5ScCwiDl57h5ajUbf0SjURHMDW7ADbGR9msfxKabzTqb\nZyfq16+f0+XYrqF3m48MEgzA0KFDS0l4nEACb/qIKqEbEesAF/BuDA1MB6ow48aNy1okzJYf\ndQQKo270nP3mszcEyZoTg2dPZ/1NnUix3nnnHetl+S4ICAKCgCAgCGgE6tSpow+eUWlnv0Kw\nVTz+NmvWTF155ZVq3rx5OhZQo0aNBLE8R8DVSUOe96+om//aa6/pzXFUILDhtEZRxsGB22ba\nqW42ojBaxt++NY3Vx771epzfV6xYEWfxsZQN9l4JvJEk4pEym5OM6dOn69MvL8wJ447rT9Qu\njVtQa3vwfoPjjiCEZJJ5dsoppwTJrvPMmjUr0NzkVBCpFy9BIUFAEBAEBAFBwAkBHBpYnRo4\npZFr+Y2ASJDye/yyth6bkagJOyLjwQQVvqDkZBeDv32/p/5B67fm+/nnn7V6lfVa2r8vXrzY\nF/OLUwW3CNe4TvfCHBlsYJKQOjnR2rVrPTtysOfH6QGOJ4ISqnLZooxnKxcpKWp+QoKAICAI\nCAKCgCBQvAgIg1TAY89JfBwEk8RG2nhMC1KHYbKseTdt2mT9mej3uLCKqxN+A92iB40jgmyE\nvZIfgpFB1c+JqCuo7jUqfLgrD0pu/XQrN2x+t/LlviAgCAgCgoAgIAikGwFhkNI9PqFaF1cA\nTIKGsTn26urZqRO4t7TTIYccYr+U2O+4sIqrA7gt9kNI5ohllY2IR+SHYJIzlcn1oNJAjFzD\nBPDN1CavfQub32s9kk4QEAQEAUFAEBAE0omA2CClc1wiaRXBfDOd8AetAObIMDfVqlVTTqpy\nXsrGC4ydDjvsMC11CLqxtpfn9TfxN6IKrOq1zrDpTj31VO2GGwcMXghpH3GGshFl4qHOq5od\nDkCIEO5EXA8qYaT+o446yqlYT9cYS4Lbff31157SWxNhT2Wiiluvy3dBQBAQBASBwkcgSNzA\nwkelOHsoEqQCHvcGDRqUcUMZpruoTJ1wwgklRRA3JoiXPDahF1xwQUk51i8wXUnT8ccfn3SV\noevDzbZXQiJz2mmnqYoVK2bNcskll3h2i824t2/fPuP4V6lSRQWVCCKZ9BJMOFtnwCfI3MTd\nt5PzkGx1yT1BQBAQBASBwkCAA9qk/goDscLthTBIhTu22v1kEC9zmSCxMzYdOnTQ0c8zpXe6\nDpN14IEHqubNmzvdVuPHj3e8HtdF4hjk44a4XLlyauTIkVrV0Q0bGI6bb77ZLZmW2hD0142x\ngOEieNzAgQOzlknAWVQx/RB1U66TZzw/5fTs2dO3DRT9glnGZauQICAICAKCQPEhgH10Un9J\na8sU32iG67EwSOHwS3Vu1JSQHPjdpGbqFJvy8847r+Q2djvEzWFj6ZXY+N5zzz06yJpTHtxm\ntm3b1ulWLNdo+/nnnx9L2XEXSmTvwYMHayydxgBmA3UBAtZVrlzZU3NuuOEG1aZNGz2mTk4W\nYCiRROFm3M1mCcYTRtiN4TINY24cd9xxqkuXLuZS4E/mKsy2Ey5OhdJXVPPuvPNOp9tyTRAQ\nBAQBQUAQEASKCAFhkAp8sEeMGBFJD9lo3njjjWWYLWLVTJkyRW+Cs21GYdKwX3r44YfV0Ucf\nnbVNbGzPPvvsrGmiuMnG/aqrrtLtiqK8XJRBYDqC7p5xxhmlGBEYBKJ+L1myRDMdXttGHKBb\nb71VEQQYNTfrmB500EEar4ULF3pWn5swYYJq0qSJq0SIsSD20IMPPlhmjnltuz0djO+YMWN0\nH6z9sKejbhwzPPnkk6pSpUr22/JbEBAEBAFBQBAQBIoMgZ12iPj+XUx9/vbbbxWxTsIQRv24\nIs4X19BIEGAEaHMQYgPZqVMnrdKVKf9HH32kYMZefvnlMnZP4H3uueeq6667TqvXZSrDfv2x\nxx7TgUhxKx41Ia3AUQQBa6OSsEXdRlMe822PPfbQbrqzOWXgUcZFNVIe8kRBzBnKhLkN48gC\nidPo0aPV1q1bdftoK1IbVEDpG5IwJGLZGJmg/Vm1apVCMkYcKON5kbrpGzZH2FINGjRIqw0G\nqYP5g1dB4i/9+OOPQYpIXR4csTDXss231DU6S4MYH8ac+VcIxJqMBL9Q5htrAGtWFO/ntIzv\n/vvvX1DzDbXq7du3K+IGJkFmXU2iLmsdXsNdvP/+++qFF17QMfvIwxzGORGHlRz2sd64Eess\nh5JC6URAGKQA45JvDBJdvOuuu7QdChtCP8QiBXNzxx13eNq84jXvjTfeUJs3b9YPPlKHk08+\nWat6+anXmvadd95RTzzxhPryyy/1poAFmjqCMnwwRyz2L730UkY31db6c/3dK4OU63Z6qR9m\nhRcLjBFzq3r16truJ4mXBHPyzTff1N7t2GDi5REJaBjGjz6bF7kwSF5mQG7SCIOUG9y91ioM\nklekcpOO9VIYpP9gj8YGh72fffaZ1oywHiKBE15Y0eDgwBh19WzvNmGQcjOfvdYqDJJXpCzp\n8pFBovnz589X/fr10+6X3Zw38KBzys9CcPnll1t6n46vqGINHTrUN5NEv6pWrapV/Tjhywcq\nJAbJ4F1Ip6vCIJlRTe+nMEjpHRtaJgxSusdHGCSlNYa6d++unn/+eU+hMDiIJbQGZgWZ7HWF\nQUr3vBfZXrrHJ9LWnXXWWQppTK9evbREh5MN1DRY/PhD/QgVJ1S0LrzwQvXWW2+lkjkCFFxS\nI1VCCsBC5Eakob+oCs6dO1flC3Pk1i+5LwgIAoKAICAICALxIYCUCIdDCxYs8MQc0RJMC9hv\nNWzYsGBUYeNDOJ0lsjf/eAAAQABJREFU+/PBm84+SKt8IIA0AnsPbJKmT5+uT0PQ+0b1Do9n\nBAuFgQqidkQZLCCLFy9WW7Zs0Tq4uPQ+/fTT9Z+PZnpKihMBVO0wxMepQDbdYbzj4WSCT6Hi\nQ4C5uXr1arVhwwZtU8VBQIUKFbQdGmqgQYgXIIGSN27cqJ8fysDZA574kFgICQKCgCAgCOQ/\nAjhDWrNmjVYN99MbNHW++uorRUiUZ5991pNdkp/yJW28CAiDFC++qSsdI8v+/ftrdTsnG55l\ny5Zp98i1a9fWLrxhcNwIZgimComTk8+Pe++9V0tvzjzzTDVx4kSFWDkKWrt2rerbt69euNzK\n4ySnRYsWmjFksYvDGYBbG+R+8ghgE4fr7kcffVQbGCMdNcRc5WTwkEMO0fO3Xbt2nubFF198\noW677TY1Z84cfUqI9NUQzxQvRTw1os7arFkzc0s+BQFBQBAQBPIMgddff13NmjWr5BDMb/N5\nH+AgCI0XbJLCEja8qPlx0J2NeBeNGjVKa80ceuih2ZLKvQwIiIpdBmAK8TKMCkbx8+bNy2q7\nw8Zx+fLlWn/W7SHEOxjM1NKlSx2ZI4MjJ/h4fMHLSxSxZticNm3a1BNzZNqA8eQtt9yi1QcL\nxfuT6Zt8lkUAOzV0wKdNm6Y9LzGvf//995I/Y1y7adMmbc9Wv359tXLlyrIF/d8V5jABd086\n6STt/ZCyeAnhzdL8Gds+pFU9evTQLs4//fTTjGXKDUFAEBAEBIH0IsAex+ng10+L0TYYNmxY\n6HKoEwaJAzo34t00fPhwreHgllbuOyMgThqcccl6NR+dNPTp00fHecnasQw3OQ2HubET3u2Q\nzAQhTtZh2LwQUa2pB0kVdlKoScFkhVm0sF3Cix1jGRUhQXvxxRe1lzRUrAjSy18YeuCBB7TK\nIuqDlIltWOPGjcsUiYc/TqjY7GNXxpi1bt26VGykMplycAHpCws8LwykeNWqVVNVqlQp0xIY\nWNy8f/jhh1otAccaF110kSfpI4zMwIED9XyHKfZKuGWlTcwta0Bk8uOhjgC2HAQYJshLuZTH\nnH3ooYd0XCkvedKQBikvDKRhItPQpjBtECcNYdCLP684aYgf4zA1FKuTBtTjjjrqqDDQleTF\nBpo9ByrYhuJ00sB7Co0J6sT1uJB/BETFzj9mOc/Bpg/PWV4JMStBMIMSp+GtWrVSxLIxhJOE\noMwRZeAq89prr9X2Q6ZM+yexlbAbIrYS/WWzaVSY7Gn9/sZFJ975ZsyYkdUNp5dyx40bpzfV\n9o3z5MmTdbu7du2qT4+8lEUa+ti2bVsd5NWex+gxEzMIacarr76qVbm++eYbe1Id2wepCO3A\n7WguiXYyDz/44APNMPCygJFBCgOzylyAKVm3bp0eF8beTpyGHXHEEWrq1KnaE6H9vvlNOlQi\n/DBH5IXhJg8qmNgSYY9nruO9yC9zRF7GkjhexFrCiyTtFxIEBAFBQBBIPwKvvPKKfl/xngpL\nOIqyM0hOZRKSBZW49evX670Ph52dO3fW2jek5yAWlXGCsEPYkHPYjD12jRo19MHo8ccfr+9Z\n/3HIh+dfDiV5n5G/YsWKpdT+rr/+eu1UAoaK9x0HvoRpueeee/RhK/tA++GhtY5C+y4qdnkw\nomy877vvPtWoUSNVqVIlvaHkVAOpECfs2YhJPmnSpGxJPN0jfoxRjUOqwYMTllCBylQOzBj9\nZWPNRhoMUGOyMyFh2rBo0SLNIAUtg0WzQYMGCgYpU7vYcE+ZMkXH+vGi1ocEiMVxyZIlGZvF\nRh4HG4cddpg2/nRijkxmykEFEj3qXBAMAswP3gNhjiBwY7E2Lx2YVeYyizJj7sQcmbYjPUQq\nh+tUJ0J9lPmZaTyc8tiv0eZLL71UGVx5fl577bVQZdIebJwKRSJjx0x+CwKCgCBQaAh8/PHH\nvg/aMmHA2s/7y41wdAVDNHPmTK01wQE1jq7QEoF4P6KRAHH4dvbZZ+vfeCmmDhiaTz75RN83\n/9g7YYPNPo7DV4hDan5b6fHHH9fOjLjG3hJVPt7d9erVU+XLl9cHfTBnxULCIKV8pLFfYEOI\nJIXTdTZvECpXTz/9tH5w4O4zEc4ToqKxY8fqxWLkyJFRFamlH/bCeHBxvgBz4VcKYC8r228Y\njdGjR2vGK1u6TPdQdcu2mbfmQ1TPOMLsZSIWMaQWXvtsGIxM5ZnrlMei6MZMm/RRfhJHiwXV\nzNtMZaNyZxioTGms1wcNGqQlMtZrMCFBYmNZyzDfwezWW29VOHngJUH7whDjTlkwb0KCQBoR\nIJAyKrDZ1qg0tjtTmzjg4P0Z9tnNVL5cL3wEeCe7vbv8oECQey/EuwyJEJoiHPphCnDTTTeV\nycrB+ddff63effdddcUVV2gHW2isIKkyxD4BqQ/PAaYSmWIymfTWT8wb2F8OGDBAvw85yOSv\nWEgYpBSP9LZt2/TE5qXldCLOJo6XGapL5kTB2h3Ew9jtREXU17Jly0hPwb///nvN6Jk2solE\nxSmplzRe/WDI/BLOHjhd8kNbt27VXvQy5cEuK8rF2FoPzCDi8SSJ+Yekx2nuRtEO1ASYk4ZQ\nI2U+RUG0Gcbu9ttvD2XrZm0LZWaTNlrTyndBICkEUDOuWbOmqlOnjj4pRk0HqTdrRj4SWgk4\nUiGkA5+oFI0YMaJEYp2PfZI25wYBbOP8mDO4tRLVbS+Ex19rvU2aNNGOs+x5YYw4VLV6Ur37\n7rtVt27dSpJySM4zgV0u/fFD2DA1bNiwJAvtQKXv888/L7lWyF+EQUrx6ML4ICly2zSzSUR3\nlA24laJQrbOWx/cVK1bYL4X+jU2JIR7upJgj6mQTgCTOLwXFFhG2U/9YdNA5jpOoA+9/SRFS\nT7e5G6YtnIhZpZkwSFEyY7x0cHwRZZmc5qGuJyQIpAEBntEhQ4Zo6aZpD6rAxJbDTX2+EY5d\ncKZi9RzJM4fkFhfLIk3KtxHNbXthrrGXjYJw1uPV4QOhJ6wEY4U6nZ2QHu222272y6V+0wcY\npt69e2tvrtab9kMQ+7sO5zbWmJiGweNguRgompEvBqQS7iMT0M/mDA9cdt3QVatWRd5qp819\n2EqIZ2QI2yP7Q2ruxfVJjAI/hF1U0BctCxJBbe3ECWcS5NVzYNi2YFcUN8NHGw1zy7zENX2U\nxMYq6hcBL1uMbIUEgVwjwPsBSZFVCmvaxBqMo5OFCxeaS6n/RPvgmmuucTyUoT/0F9tNIUHA\nKwLYxQZ919vr4H2CBMYLoX1hJSRA2BLbCTtk+3sWrQcO1w1dffXVWhOC31dddZW5rD3cWd9v\nrANoK1mJ31bVfFT3YMhguoqBhEFK6SjjIc7PyQXGeWzcreR04mC9n5bvxnAd9ShjGJ9k29AL\nRtfYK+FVLwwtXry4TPYwHgHLFJblghcj0SzZPd9iM8KJWdzEpgjCxiuqF1mcbaaN2BIKCQK5\nRoDDqGzvGA5zkHjnCxE8M1t/YJIyOXfJlz5KO5NFAHsdVMys6m5BWwBT4dWL6XvvvaelnuxL\nkH4Snw/PwXbC3ggHTOPHj9cSJtIhFUZd1krYMHEYwgGpCdlCW+bOnavtqLE1gnlC48MuVUJL\nA+0kDvawecKBRLbnzFpvvn8XBimlI8jGz+9DaVexs0/0lHa1pFlms1tyIcEveFXzSoi1w5AT\nE+jVeDNMveT1wwiGqYuxRKoZN5k5ni+HAeDBy0hIEMg1Ani6cpIemXYhlbV7wzL30vjJabeb\nSi+OKIQEAT8IwCC4zSu38ghR4uRkIVM+mDIcSMGg4Xjo73//u/bwak9PTCWkokiM9t13X0Vs\nSpwo4NHOTlzr0KGDuuyyy/Q7CIaocuXKOmTGAQccoA8YsX2yvrf33HNPbXNOKA486cF4Gffi\n9vIL8fefC7FThdAnHgy/D6XdOwkT3Wwg8wGTvffeO2fNJLiqVzJ6uF7T29PZx4n76PnilCNu\nwugyCXLqYxz1msXcz/jF0Q4/ZbrpjPspS9IKAkERIAaKiS2XqQzS5AthL0F/skmS2UQKCQJ+\nEMBpCV7cJk6cmHVuZSoTW9YLLrjAkcHJlKd69eoKNTtce/MMmvcc6WFy+DPEd+LskfbAAw8s\nSUu99v2f1ZkXQWqRCnHgi/MGq62RKZtDeqTIHHhyP5/es6YPYT5FghQGvRjz1qpVy9fDyMNg\nAluaZiWh4mTqCvNJADUIxoOHNmnioXdaHDK1A89IYcgu/qYsr8abYeolLydGSRALPDrXcZPx\nylOhQoW8EPuzgatatWrcsEj5goArAuecc07WNKzL+RQUsmnTplntV3lH4oVVSBDwiwDhKvAy\nyxzyQ6QnaCvMVRCyMjzZ8sNAHXTQQSXMUba09ntIj9z2PxwsFBtzBE7CINlnS0p+MyGJs+NV\nzQ5ViYsuuqhU69mkRk3Wk4yoyq5SpYouirKbN2+uDMMUVflu5cCM+qHzzz8/1GYcHV47DR8+\n3H4plt8EK02C0LeGaYmbjNErzwknfVESBwxRHzKgu+3EIEfZbilLEPCCwCmnnKJVcZw2fVyr\nW7euDi7ppaw0pGGDiOc9p/cH11iPevTokYamShvyDAH2JtgCEZ+RNdxtX0Ya/tiTPfPMM74Y\nK7QvzMFfLmHi3YdUtphJGKQUjz7Gdl5Uolj8iR106KGHluqN00a8VIIAPwwzEyBrxiyIhw2x\nAMXhKc+U7/SJ3q5fat26td8sOj06vk6nNYfscOtJpOo4CdUuXOAmRddee63jZiWq+nlpWb31\nEOfJy/PitX4kYJxKO224vJZhT0ebGzVqZL8svwWBnCCAbcOll16qVdPY9DHX2dixvhEfifma\nT0SsF0JecNqNtNYwfw0aNNAG6aLemk+jma628izgEh+nCNjj8JzwvmGOMdd4dvhNuhNOOEEH\nMr/jjjt8vz9QgyPOYq6JNcBP8PZctzeO+nfaoaOYn9HgAqJBLJhsOspeisUjCPZBSRi847oY\nHVM2a07ur3kwuU/cCqeXGSf5UTkAoHy8pOBu0q99VCZceZHZA67iaQXDyGwGxJnK83udxQ2P\nMRgj+iHaRiBCP4FJYYzw7ubEIFE3Rsb16tXz0wxfaXEDf9ppp/nKEyYxS0unTp0UXvuc5m6Y\nssmL1O3yyy8vKQaXpagzRDHf2Szi4hX36yeffHIk852XJwayqGuknVB1xbuk8TCZ9va6tY+T\nUNYvuyMbt3xpvc+6xdpJzKIoiGfm/fff14dTSGKTtgflxJz3ahTvZ/Bg3rKu847mHRj34ZPT\nGOy///4FNd/QamGNjWJ9dcLLfo01OBcSDGJPeiGevYULF2o322AC83344YfrAzCvtm6sszBa\nQulE4E87NhnD09m0eFqFt7KwEgpeTmz+ktjAY6CHmJaFCUbCbDR52ePBZOzYsToImBNzBIKV\nKlVS8+bNiwRM3EwibeGls2zZskjKxLPLMcccU6osw4ARnyhu/h3jy4YNG5aq38sPc8oK0+Fl\nE8lmhlgGvDQzEYsl6le43/VCmcbcKS/zpEWLFk63YrtG+/CcA5OPG+5sTDXPFEyq10MHVGUY\nOytRBhstArGGfcYZ32nTpqlDdkj2eGGuXr06a/ut7cj0HcYY5j9KKVemusJep42MV7YxC1tH\nkvnZvDAf88nbYTZ8zIm1l7UnWznmHuPNuwJvVaxVSRP18/xG8X6m7Wyusd/g+YXxygUx5wpp\nvrF+sf8we5C4MWUNzoXEz6vtLCpomDFwgIZWACqrHC5kOgB1wot57+c97lSGXIsPAWFd48M2\nspLLlSunXUQi7iReDifyxLOB8UHUm42wl3Ezxs2W39zjRYOUCuIEPAr7JhiTiy++2FRR6hNV\nCWJWoNLHAsJixEuPv6iIPvTq1StwcTA7nLpiN5WNkNpwmklQNzciLQyFm/coJCUEY73hhhtK\n1EicykYvn/ggVq83TuniusbLgsC4w4YN0w44GD8zlrwcUEtgQ9a/f3/d73vuuSer/jVM1P33\n36/77dRmmHgkP2y2ghKbT4LtGZVV5jsxI8Ko2lEmDFcunJAExUHyCQKCgCAgCAgCxYqAqNgF\nGPkkVewCNM8xCx5YUI8LQjBoS5cuLXUywikS3tyQDAShI488UnkNuLp27VpdP+4o2Vyjpkaw\nszDSJTaqixYtUnhwiYI4+WQDDE64xERFBSaGQG5BN8VgO3yHgJf+Uz7SEU6riItgP+WFCXr6\n6acVcT5gPBD1d+vWTTOYUfQvijKQuIIPTCWSIpgY5gF9YlythPtRbCBgAmGQOdlGXc+LgwPK\nhvGG0fR72smpJZHHe/fubW2ODmCMjRPt8VsmTCG66Lh6zRdiziKdiEpCket+i4pdrkcge/1R\nq9hlry2Zu6JiFw5n1s1cqNhFpbbqpfessyJB8oJUbtIIgxQA93xkkOjm4MGD9abTT5fxZDR7\n9uyMerKo/6HS5IfYaN55551+spRJy4YzqCEjqiRPPPGE3nSXKTiFF5hvbCCIk1QoG9a4Nw+o\nhmE/hLQJpsdNHRZmDQkR84rDBCeCScWJCMwo5KbGR5mMG23gOconEgYp3aPF3OKQJMnNXJyI\nCIMUJ7rhy2a+FYsNUni0pIRCQUBU7AplJD3049Zbb9VSEy/qcUhWZs6cqV1UssHMRI899pia\nNWuWq0oY+VGXe+mll0IzR5TFRhVvL36Dtl544YVacoVEQqhwEUClDUcfSCnxYMUpHS95/iCj\ntkk6Npp490N9NRNzRB7UBadOnaptxIxreKMmyH2eEyRhfKIKOGjQIG2rl2/MEX0REgQEAUGg\nGBHAiVdSf2G0YIpxbJLus0iQAiCerxIka1fxvjZ9+nQdSRnJBA8qp3h4ZkOVKUhAUSI5U+aK\nFSu0tIP6EJHj8rJjx44KVb2oCXUq7JXmzJmT1aAcWxzsSjCkzDcSCVL4EUPtkTmC4w88ZaG+\nwZzAuJY/GB2/xHx/8803tfMUXqgwRsxxnKfgaATmK19JJEjpHjmRIKV7fGhd3FLyJBEoJgmS\nVy92UeDPOst7QyidCAiDFGBcCoFBsnabTR0bxi1btlgvp/47zipw8+xHzQQvfJMmTcqrRUkY\npOBTES9SSH1g3JnfMELmhQRTgyoeXhRx1hHUy5/RlUcFz89cDN6r+HMKgxQ/xmFqEAYpDHrJ\n5BUGKRzOZl0NV4r/3MIg+cesUHNE5xKsUBGSfqUSgQkTJihUBv0SUgRO/V955RWtU+03v6TP\nHwSwnSNYrTWGmJMNFx4GCbTMnCJwJh7rhAQBQUAQEAQEAScEOAibP3++euONN3QwVeIgoYLN\nu6N+/fpaVTsOjRmntsi1+BAQBik+bKXkmBDAtTXxZILSN998o43m8XKWdEBEv23Gkx0BZNnY\nY99StWpVx6C2eFbDOxye/pCSYGNF2rQRqp24q8dpAnZABHHkpDVKQl30xhtv1JIjr3F8kCat\nX79eNW3aVM8tXIULCQJhEeDZ/eijj3QcOzZMNWvWzElsl7D9kPyCgCCgtIbA+PHjtRYK7y/e\nY1ZnPXgKxpssYSswVRgyZEhOPPHJWEWDgDBI0eAopSSEAEFUwzBHpplIFdgEYy+VRsKN+c03\n36zWrVunHQtgz8JizIYft9jE5kE1DAYKSRqLMvfxxAaDAMME44FkhIU6TAyfKPCBGR09erS2\neUN1gj/6QjvZNF5zzTWuMb28tuO2225T9913X1abNKeyeNHBiF566aXa8YgXl+JO5ci14kaA\n54/nkXn4ySef6OcXtU6eT+5h84ar/jQeYBT3yEnvBYHMCODEp02bNjrkBgdqTsTzbbQUiP+H\no6sHH3xQNW7c2Cm5XEs5AmKDFGCAkrZBYuOGpzgeOGLi8ACy+T377LN1rBsihoehfLFB+umn\nn3Skaq9SAS+YtG/fXm9kvKTNlgZvfjiBwHCfRZLTJTwB9ujRQ9tJZctrvcfY9uvXTwcBZkPl\nRDBL1NGyZUs1d+5cvfHKlBZbBQLUMnfKly/vVFys12gnDJxx6249bbNWTJ9at26tXbeHYeZQ\nnSRYbNg5ghe6JUuWeJIwGl15sUGyjmi6vicVB2n79u16TWbuZNpEMV94Lm666SbtvCYIUmKD\nFAS1ZPOIDVI4vM26Gq4U/7mdbJAI7cBBI+8Vnl0/xLsNqROOquwkThrsiKTrtzBIAcYjSQYJ\nw3KCXn744YdlXrhGWjB27FjVtm3bAD35T5Z8YZBwyABDECXByKBaxZgGISQgZ511lpb0ZMqP\ntzTcm7MYZiMW3s6dO2tX7JQbFbFAV6hQQb344ouO6nlR1eNUDlKje+65p8zcdUrLpg+mHzug\nIMTLC/3vzz//PEj2UnloCy80VPXcyLzIhUFyQyp395NgkDik4NCCQNZenl+eS6TEHTp08A2M\nMEjukOHhFE2BXKlRC4PkPkbZUph1NVuaOO7ZGaQ1a9ZobRMjGQpSJ886NrGnnnpqqezCIJWC\nI3U/xL9g6obkvw3C8O+8885TGzZscNxgckLJSxk310iYCp2ee+65yLsIUxI04CyNOfPMM7My\nR6TBDoFYPG40Y8YMtXDhQk+bK7eyrPdhHLBNQo0tSeIUffLkyY5z16kdbCoZY9QogxBqTfQz\nCqIt06ZN0y7BoyhPyih8BCZOnOiZOQINnkueSdTwhKJDYOnSpfrQ6vDDD9caB0cddZQOAJ1J\nyh5dzVJSoSGAxgOSo0zSYK/95VnvvOPwk0M0ofxBQBikFI8Vp4ts+NwWdh4+mCTiGRUqIeLO\npJ4Vts/PPvtsoCKQjGCA7YW2bt2qRowYkTEpCzAqN2EX4kwVUC79RBKZFNFfv2NGO5Ha+FVj\noE/oe3s5uffaf04w582b5zW5pCtiBFD/hUHyO/+QYLPOC0WDAGscqrpI8QwhETAqTn7XI1OG\nfBYnAqjOc8AZxbwh5AQhRuIk3p+8dz/99NM4q0lV2ay9cZEwSHEhG7JcThqQKHh94bKh5GEu\nVIpzo4pXuyB0xx13+MqGsWYmwvU4C2icxIYfN+dJELZYeNULwugQyBWnDn6IeggCGyWhUvHa\na69FWaSUVaAIoEILs+OXOPxasGBBiWG33/yS/r8IwAhhv8mBoZ14j7LGYospJAh4RQC7Yq97\nMLcyeZ/cddddjvPTLa/X+zBIw4cPV5s2bfKaJa/ToXGCiUNcJAxSXMiGLNfvBpGH7+WXXw5Z\na3qzb9y4MbbGsbkOEuATl9V+CH34THneffddhZ5ynGQ2CXHWYcomthBuyYMQ9hW4S/VDePOL\n6kVmrRf7NCFBwA0B5iubkyBEPtSohcIhQFyabCf9rA/ZDqnC1S65Cw2Bzz77TH388ceRdguz\nCbzhCUWDwOrVq2M9WC46N98E8wrjJYthxWUrm+rddtstmlF2KAUJEu3089JFjStIcDIkC1CQ\nvA5Nj+USzEWcBM5++o/zjCCEtMrJvS/Sozg2+PY2oobpp5/2/F5/M148J0GIE2Dw8NNO5n4c\nxHPotR0whGHXljj6EKRMxo54WkEkgEHqizuPOXzwOpZ+28NzlW1znq08DgT8rj9IqxijQppv\nYLTXXnsFnnOsAW5jgGQ7rjlgH2PGJ6m67HVH/dtIR3fZZRe9LkRdvlN5fvY+TvnDXuPQgzU9\nyr0HzzqhRU444YSMzUMSiuOtZcuWaQcjuAjv2rWrllAvXrxYq8rjGdYQtrcc5F199dXmkuJZ\nuOKKKxQHyyeeeKIaPHiwYuwMPfTQQ4pQIowrdu78mX0gtsNTpkxRmzdvVtjvYb5RqVIlnRX7\nvldffVU1bNhQp8FrJ15jca5Em8nLPUJl7LPPPor0OIciNAkmCfS/VatWuj7TFg730cahv6jL\nERvxqquuUpUrVzZJlFN7CdKLvTIqkN26ddPecqN2yFJ0DBIbHjebnpJRyfAlCS92vNCdVAUy\nNElfpl3fffddtiSO9/bdd1/9cATJ61hgDBfNwxtD0bpINoJ++m82XH7bA4PuVA8LB5uduJkk\nmHqn+v32wy09m4Ogm2uwBQ8/7YzyJWbtG2Pi1g7mJhsh2hCnPrS1XXF/32OPPfRc5OVVCMT4\nsBlwG8ugfQ1zWGbeR37axvPB5q2Q5hsYIskPujFmA8jakS0/XsP84Bx0PpAPz4lJ1RWmnV7y\nsg6yT8AzIJviJIix5H2ZK4KZNoxhVG1gbsJ4ZCO8FnPggtde1M0HDRqkOFi99tprtUMo1ESt\nDBISKZgWK4PUpUsXzYTAXKEmSPiLRYsW6WqHDRum7SVhKvCw27t3b81k9O3bVzNf559/vmrR\nooVmZIg5idQVpo5wIdgwjxs3TquqwrS99dZbOh1OqJgfBFqHUYJBw/kV6YkHB8M1YMAAxcEy\noVUot127dro95GEdo7+8Q7mHSQV52Udkam+TJk10+8GzXr16es+QDdcg94qOQQKkoBs3AzD5\nzZ+5FvUnQUD9bE5YwE466aRQfQuLS9QYWMsj1hPi1LiIl5mf/rNw+j1d4mFnQXKqB6lS1Iux\nHSteOEcffbRj/fa0YX9XqVIl8MkbBwPkd8IpU7uI8QR+fvJkKst6nVMstzKt963freXk43f6\nUkj9YQzi6s8RRxzhez0wcwKpx6GHHuqrbaYf5tOUla+fph98mu9++4JH0eHDh2fMBlN57rnn\nBi4/Y8FZbgTtS5Yic36rEPvkBCrMTNR95Vk3ByJOdXINKcyYMWNU5x1e76Dq1av7PiwnoC3B\n0iGkN0iRsJOsUaOGGjlypGaWjGfdihUrahfk9LVPnz6agUFiAxHHkbWJwNbGfg+mH+lT7dq1\n9WHEM888o73zUT5EOTijMN6BYX4effRR1axZM32ffQj1wCBRFu7wCe1x5JFH6vtIkEgLUwhe\nmdpLGUjicJQFsxcHBdOBiaMlUmYpBJg0+MxnMnkhHrowsZC81JHLNKecckps1QeNgXTOOef4\napNZkJwynX766a4Lp1M+P9dgIMwi5SdfkLQwYkHVS2Ak/Y43mx8W1igJFTPiKgkJAm4IcAoa\nVIp53HHH5SxWj1u/8uk+G7nLLrvM8SQZKS8qP6gdCQkCXhBAXSvqQ0veUwQhz0aorPXq1Uu/\nA/Fsy7xGBc4PWd/zderU0aqr2LVj68x7zRqP6cILL1QPP/ywQrVv0w7nDta81Mk+x2o3xbN0\n7LHH6uZwMI/6ndVRAofN2AQbor6GO9TuDCH5QTJGvEKkTo8//rgWBkzbEVYDKdmoUaN0UqSV\n2dob9diY9lk/hUGyopGy7wTZ9KJaxkOHzmfUG8Q0wWHEsXG0ye9m3LQB0TFSJC/EON59990Z\nk6L6wRgylnEQiwnzw7owxlGPtUxUA/z2h/ScWln1pa1lZvt+wQUXRKofjwTX/rLIVr/cK14E\nkAwjnWDD4Ic4AMM+QCgaBJAgXXnllfq9yVrC+szaV6tWLR1k3G1zGk0rpJRCQACpcBwq70iE\nshEu6ZHK8L4mdACHjdYYhnaplpNKqbEZoh7WGBgR3meEjeHd6sRcwCBBaOtY6YADDiglweIZ\nsh7cUxb7F0P2smGYrKqSHFRAqGpyqARzxeExXphJZw2cna29pr44P4VBihPdkGWjZjR9+nQ9\noTO9eLnOBMsWYydkM1KRnQeHhSIOGjJkSKBieQHjZtKNCWAxwZjQzYAQhgJVMeviE6hhDpmY\nJyy2SRJMLWL4THPX3haYyIMPPljrRNvvefndsWPHyLBjDE477TTFS1JIEPCCAPG72CggAfVC\nrBstW7b0FETaS3mSRumNH0blhBjAlgHj74ULF+rwBqgSCQkCXhHg3eX2bvdalkkHw4XKWybC\nRv6BBx7QqmOoyGFfA9OPHRHMBNIYuw2YU6BpvMga4j7e+FDjJ3gyjJDVqRFSGg530Pigv3iD\ntBJhCDhgCEo4UbDGX0QVD3tDGEAcTOB9ec2aNbre66+/XpnnFPW6bO0FKzszFrSNmfJ5W8kz\n5ZbrsSPAiT/Gdc2bNy95WM0LGKM5XgCTJ0+ObGMYe4dCVDBhwoQQuZ2zsgjCiAYlToNYjDgB\ncXpYEW/jnaVu3bquVWAYj7iZBcJtYeZ+hQoVXDdjbPQ5MUKn2Oj4ujYkogTUzWJfs2ZNT/2B\nOSLYq/W0yU9T8ICF9xs37LyUySkdLyYhQcArApyUPvHEE/ogxO1QgPuNGjXSBs1ey5d03hHg\nlBubJIzNnbyGei9JUhYrAjyjeFyL4n0ChubQjXUiE/Guxn4HiRGMDGpm2OIg1UEayoEdNj04\nTkByRFzDuXPnlimOeEs4ROAP+yEk3KjpoTKOZzq0NPBwR9kwJbSJ/QeOEoi/ycEvdU+dOlV7\noiP4chjCjgimDKcOMH6dd9hXsY/lQBibYyRFEAFur7vuOv0dhjBbe9knII1CnY8wCW62XbpQ\nn/+EQfIJWC6SM7l5aNatW6e9kRAtHK7/9ddfV3gcKRbiwY5S1Q6JRRRxMXgZIx7G6w0MDl5c\nMEokjgILGIuAV4JJwC0mnl5YUDkxMmqWLNgs1iwMeKwhMCoLGIwSac2mDEaNfBAMNic2SarW\nWfsKNrNnz9YBHFngab9pJ/0y/WPB5KSKvoSh7t2769O3MC812oUedCGrrIbBWPJmRoADEzxK\nsRnhOWTO82xCZu4jZWJ+3X///ZFtvjK3SO4IAoJAUARgVJBkREHG4UC2slgzYG6Q+MAUwQDw\n/kYDBcLZAl7n8CAHM4XmkFX9zpTNgToHvzgZwn6IfQj7Bt5tlIX9D8wWhwcwRjAwEM4h8HyH\nRAmNF67feeed6qKLLjJF+/5kD4B6H3sbbK05NDaH3dgm4XHvjDPO0O9+9ik33HCDtplij+vW\nXg6mWV95V1vtpHw3MkOGnXaclP47w72CvIxxmJPOpp/OJuHm2097wqZFtMpEDBrbJ2z9fvNz\nMrh27Vq/2cqkZ+OeLR5BmQwJX8DVJ+JnROTEBWJjhRcaVL9YHA2x8CKlIlI8pylsylgYWXSs\nsQRM+lx9IhJfuEPdZdWqVdrrDe1kQ0k7WUSjIoLxYXhKbAi/OuQstpyicarmlXh2OIGjf0EC\nDnutJ8l0zDVeavwVAjE+bD6sqiVx94u62Nyw2WFO0gY2B6jYhGHgaTf5WQMKZb6xSeO9GsX7\nOe5x9Vo+jpaSnG9e2xUkHfMNOxbUu5jLSZBZV5Ooy1qHscUx17A1xq12mH0j+MFkoPFjpWwq\nuWCNFId1w068axgH7IMyEe8+I31ySoMHOQ4onZxUse6Tl8P5MITmSv/+/fVzTX0wada9iymb\ntvLsG/U6c936ma29jBkaJFGTMEgBEBUGKQBoEWZBlIpnFTbaQQjRLvrpVs8rQcpJKg/zjQ0E\nDFOhbFjj3jyAEzZds2bN0sPkdgrIC4yzIl6Efr1Bmhe5MEhJPRH+68kFg+S/ld5zCIPkHatc\npYx7jUuyX8XMIPFeQKODWEJ+D9wYI7DDfhrbHqM9YcYuG4Nk0uTzp5VBysd+iIpdPo5akbeZ\nDSmLDaJZv4S07LXXXssb5shv/yT9fxDgZAynFBiBGgNTJFbGfo9UvKz4Yz5hLI/Kol/mSPAW\nBAQBQUAQKFwEkDxP2+GCmkNZO4Pj1muYI7RUOKjzm9et7Hy4zzvXSQKWD22njSJBCjBSIkEK\nAFpMWdCl7dmzp470nK0KxgzvRqhP+SFU1giQZowA0aNlM43jgaRIJEjhkcb4c/HixdqOD9UB\nXlboeBOQGb1nTvKCEMalxosQJ43obaP7DdOVzyQqdukePZEgpXt8aJ1IkMKNkZHMhyvFf267\nip21BBwMDN/hvAd1u2zaHBzQQWgx9OvXr8QO0VoW3wtdgmTvb779zu+3eL6hLe2NFAFspjAi\nxJiPDUM28Tf3MDZEggSD40YEasMZBh5W7DRlyhRtz0CAR5wzwMAIpRsBbLGissdCN5wXJcH1\ncGHKixyGCzU+Xpq8HDF0JR4LDJiQICAICAKCQP4jgHMEPLrhYIWDU9xXI2HCdpW9AodkHKK2\nadNG4TCI/YZQ/iIgEqQAYycSpACghchCLADiWmDwisgWQz4WIqKmY8Tox3iSzSwBRfE0B1Nl\nJxY9Tn0o3yuhn4whZ9TEhhsX4kgpcHmJcSNRtZOKzYPEBRfz4M9JF27CUUFjDMJSvp6u4p2Q\nE0QY7mwniLwwmUPYuTHX3GJghcUz6vwiQYoa0WjLEwlStHjGUVq+rnFOWDDfitVJgxMe5hou\nt9FOwGECDgg4hPOz1osEySCZzk9hkAKMizBIAUALkAU7I4zmcW/OqbyxH2Fj6mZ0n606Fnvs\nUohZYtULHjBggJYIZcub6R7e2ObNm6c9VuFthUWSIGcERPNLeKZC2oWBI4b/tJdTKiOhwHMN\n0gkCo1rb77cep/Q4wMBtKO7KM8UVgEEj9hZ9Dkr5tnkAi2uvvVbHacqEixMWjA8bC+I75VM8\nFmGQnEYzPdeEQUrPWGRqSb6tcZn6wXVhkLKhE/yeMEjBsUsipzBIAVAWBikAaD6yoMKErRBx\nnvxsRn1UoRd8JEnjx4/X2W666SYdf8BPGU5pYWTYFCPVgqHDpS8Mh3EU4JTHem3p0qXqkksu\ncZVQ8MJCkoZEIyrVMVynY4iKtMoL9enTxzEGg5e8+bZ5GDx4sGYas6lxZuo384AXIS7bw8Z5\nylRH1NeFQYoa0WjLEwYpWjzjKC3f1rhsGBQTg4RWSlKENgZ7BqF0IiA2SOkcl6JtFRITgpwh\nto6LOQJcNroETCOaPZtWgrNFQahVmU00Osl4zIPRw5HEkCFDsi6GuBGFOXKye7K3jTpwUIGt\nCwFWUb0LQzBHlOVHtRAvcbgeR8pXyISdGX9B5yOSP+JYXXzxxToIsJGEFjJm0jdBQBAQBPIR\nAac4PfnYD2lzeASEQQqPoZQQIQKojsEcGSYjwqLLFMWGd9iwYdqOqczNCC+wQUYlDeZv9OjR\njiXTZ2yqvDBHpgDSctpFALqFOwKwBl3YwQHJkR/myLRhxowZ2o1pq1atzKWC+oSxweYoKHNk\nwECi+NFHH2lVu3bt2pnL8ikICAKCQF4gEHYNzItO7mikVw2KKPqD6YBIkKJAMp4yJA5SPLhK\nqQEQeOONN9QLL7yQCHNkmkf05iSi0cPMTJ8+XUt7TN3WTxi1IC8gysWJA17VgtLVV18d6qVA\n/kIlcM3mjMFPv2GSUOUMYz/npz5JKwgIAoJAGARgFnAyg4MeVMdRG0QbAu+dhUr0Oam/IIeS\nhYp7GvslDFIaR6VI2zRhwoRAUowwcAVhSoLWBzMDI2Snzz77TDOGQduCtA2nDkE33jhkCENI\nxnB5XYiEjVdUDBL4fP/99+rNN98sRKikT4KAIFBACKCdcO6556q7775bETsO4hrOiFBNx3lS\nsRKeXe+9916t9dGgQQN1/PHHq1NOOUV16tRJTZo0SW3cuLFYoSmofguDVFDDmb+dQZUJBwWF\nfqKC3dCaNWtKDRQ2RGFdZ8OkLFu2rFS5Xn7gyhvGLSzhHr3QCOkiqo9REm7mkZQKCQKCgCCQ\nZgTGjRunA6Tb1d05yON9gyOlQn9f28fngw8+0CrtNWrUUNdff722YyYECQwR73ViJ954442a\nYWrWrFmgd7K9TvmdOwSEQcod9lKzBYGPP/64KBZbvAEtX77c0nOlF9awes+UG+RED9ulKKgQ\nT8ywGYKhiZLYbAQZpyjbIGUJAoKAIOCGAGEm7MyRyYO2Amv+qlWrzKWC/8SRE1IinClBmd7Z\n5joHlk2bNlU33HBDYO2Oggc15R0UBinlA1QszUOEH3VMnzRih7SGgLdW+vLLL60/A33nVM9e\nrpeCUBWIgjhRLDQiCCABX6MmPP8JCQKCgCCQVgSwyyX4aTbCwQAHm4VOMIPdu3dXI0eO1IyO\n18D0vJORsE2ZMkVdeOGFkapqFzrmaemfMEhpGYkibwcBVaNQ9Uo7jLh43mOPPUo1c8899yz1\nO8gPNvL2cr2UE0Xd1FOIzC1SuThUSNhYCAkCgoAgkFYEdt1115LA7JnayPt6r732ynS7YK7j\nxfTpp5/WsQ2DdAopHGrVOLcQyi8EhEHKr/Eq2NZWqlQpkBe3fAOEDfdhhx1Wqtn8DstgUO5B\nBx1UqlwvP6pVq+YlmWuafffd1zVNviU48MADM6qYBO0LDLJ9/IOWJfkEAUFAEIgDAd5H9evX\nzypBxz31CSecEEf1qSlz7ty52ulCJlVDrw0lP2Xdc889XrNIuhQgIAxSCgZBmqAUm1GYpEIn\nXiroMVvp9NNPD62jjNjfXq61jkzf27Ztm+mWr+tNmjTxlT4fEh9++OGKk9QoCZsmPB4JCQKC\ngCCQZgSQnGQKas06NnToUIXmR6ES3kv79+8fmWYL72i82H733XeFClnB9UsYpIIb0vztEC4y\nUWtKkuKwMcnUfl4q3bp1KxPQtV69emq//fbLlM31OuWeccYZgdQdYACqVq3qWodbgt69e7sl\nybv7bA4wso1yjqCWgotcIUFAEBAE0ozAUUcdpQNbE/sIiRLvCtSDeUfDHHXt2jXNzQ/dNsJf\nYIcaJaHpgXtwofxAQBik/Binomhlly5d1N/+9reCjCyN5AgpWb9+/cqMJRvwESNGBPaYxqKL\ny9GghBFpGGrevLkOIBimjLTmveKKK0JL90zf2Fi0adNG7bPPPuaSfAoCgoAgkFoETjzxRO2q\n+rHHHlO33367mjp1qlq5cqV28Z3aRkfUsAcffDByFWukUpQrlB8ICIOUH+NUFK3cZZdd1LRp\n0yI9sc8GHBvWSy65REt1sqULew8GqGLFivo0LpNKQosWLbSnG78SNKRHY8aMUVWqVAnczOrV\nq6ugEiBsj8IyWIEbnkBGTlHPP//8yCSbV199dQKtlioEAUFAEIgGAaRHp512mvbkdsEFFwTS\nVIimJcmVQkDcd999N5YKv/rqK0VweKH0IyAMUvrHqKhaWLt2bX3CQuDUKFWb7CBSNpt7NqxI\nb8qXL29PEvo3zA6SI6QGL730kjr44IOzlnnLLbfoyOUwPV6IPgwZMkRdfPHFXpJnTXPttdeq\nDh06ZE1jvwl+C3fEUcqkp25Pn6+/YUBRMwkzH8l75513FqykLV/HVtotCAgCgoAdAWLgoZkR\nB6GmSMDZTPTDDz+o6667TmHXi40wKnmmLQR2Hzx4cKmseNhj7wARqwkpn5XWrl2rmVsTn8l6\nT75nR0AYpOz4yN0cIIDTAhiKk08+WW++o3aLDNMC84LagHGNTVA3JFhBiTIHDBigsKPCbgWm\nBcbrnXfeUUQk9+JOm5O6iRMn6vSoYdFGO/NBGjbbSIxmzpypevToEbTJZfKNHTtWb+K94IBa\n3XvvvaeZzDIFFdgF1D6ZK7i0BX+/xHjBiCMlFBIEBAFBQBBINwLffvttoLXeS694p2dz1MDe\n4dVXX1Xt27dXdevWVYMGDVI333yzLpog44888kipathjzJkzR1/jYJnDTmusJjznffjhh4p7\nQv4Q8HZU7a9MSS0IhEYAV8hsSjn9eP7559Xbb7+ttmzZoh9yvN2xgK1YscK3a3CkM7vvvrte\nZKzOCdjEEvTupJNOUp9++qmv9rPwEOegQoUKvvJlSty6dWu9mWaRfOGFF3TEcoxFYZpq1Kih\nzjrrLN1OmLKoqVWrVoq/hx9+WGMEJqgbwBggMWrcuLHq06dP0UlCmI9EUO/YsaM+/bO+gDKN\ngZEgIjk655xzMiWT64KAICAICAJFhICRCDl1ecmSJVptvnPnzvo2KvBeY0Qicerbt6+aP3++\n3kMQrPbRRx9Vt912m1NVcs0FAWGQXACS27lFABsQ/pxo+vTp2m0mi41bnAKYCU5uatWqpWMR\nZFKpe/PNNxXl4vTAbRNMmZz2GPG2UxuDXoPpOvvss/UfDB2Srm3btiUWjRt1O78qd0H7mi/5\n8DQIsz5r1iw1atQotXXrVi3lw/DWEIw2f7zQYHRRhwjjodCUK5+CgCAgCAgCySDAYaDb+z9o\nS/73f/83q+YFdtG9evVSDz30kGrWrJk677zz9MGol/rYJ1x44YX6gBONhQULFihU6zj0FPKP\ngDBI/jGTHClBwKizoRr25JNPZmWSiGmD6Bmmw40olz9OYTj9Rx8ZKQqMGOp+eKND/N29e3e3\nouR+gSEAU8zLpmXLllqqyWnf+vXr1c8//6ylbATrxY4OV96FHmV+8+bN6ssvv9TPHWqISNky\nOSEpsGkg3REEBIECRgAVdtb6bJKeoN3nQO3II4/MmH38+PE6bMfs2bO1yj32SKhoGzU7e5vs\njNyll16qGSveSTBZ2EBHHc8vY+ML7IYwSAU2oMXUne+//16LjlHFy2YbguQItTlsglB7ImaQ\nF0KVjT8hQcCOAC9Posjzh9omUqJff/1V/fjjj/akBfV748aNWgL77LPPKp4/pGU8X6hyQEh7\nOTzgL2rbwYICUjojCAgCqUUAhqJmzZrazjbqRuLwp3Llyo7F8g7BthiVbP6QNt14441q9OjR\navjw4XpN3b59e6m8n3zySanfeBxE3R/VOmyTsOcWCoaAOGkIhpvkyjECq1ev1q5Hn3jiCb2I\nWNWc7E1jkeGUBdeanXfo9RLNmmtCxYUAJ2pLly7VLw2kg6tWrfKs250JKYxtsT+DSUf9DiNa\n+wlfprz5dJ0XN+qCDRo00C9emCMIVUKeLfrM35o1a9TIkSO1cfHcuXPzqYvSVkFAEBAEShBA\niyTqQx4OaLN5ncVB0qRJk9Q111yj8GaH5so333yjtVZQuz/iiCN08FpiKbHuwgDZ11kO79jn\n4OEWe+369euX9Em++ENAJEj+8JLUKUAAtSZOqDm19svosKFjccH5ALZGnH4LFTYCeCi89dZb\nNXPEy8O4UcdujRcScY6uuuoqX67ecZ6BKgSe/JBe8sdchFFHtQ77rSuvvFIHPvaLLuWgvgbz\nhfdDVDqzSUj9lu83/RdffKEuuugixSdtc3vmwIC/nj176lgiqIjIc+YXdUkvCAgCuUSgXbt2\n2tY02+FrkPZlU83n/YSrblTqWPfZ4xx66KHqqaee0lURuJeYhV27dtV/xx57rGamsDWyEnZM\nSJwGDhxovSzffSKw045Tv3icvftsSFLJ8X5m19n0WzdG82y04e4LgcqVK6c3jXiJSzuhKnfm\nmWeqX375JVRTOclhEUHtLu2UCycNcWOCmgFODuIkGCCkHtinQZk29swFlkE8/eBYIRvhTbBb\nt24KZx5GrcwpPWXyRwwLpC5eCHsemC7U15B2wVTQZk4xmfMwcXg0SoKwKWJjAKNG3TBr2fqb\nqU1ggE48UttcEiqQbD7innNJ9RFcYe4LRaUT43LWuSjez0mNgVs9Saxxbm2I6j7zDccFqHex\nNiVBRnU5ibqsdSC5MYSGCg4Tgqx9pgzzySHX0KFDtRdYc411NtPhEVizx3Ry8oNEn3E44IAD\nTFHyGQMCcnweA6hSZDwIsFlksxVFwDM2z/fff39k+rlsbtlgEx8IuxRsl2666SZl1w+OBxkp\n1Y4AhyAYpxJEj3mTiTkiH3OB9MSxQr0hE7EZZVzfeust1xcmZfKCQ5IEw+NGvIhxMc+n2YCY\nNsOooBKI7RwxtZIimEaeN7wnBt0ggANMIuMgJAgIAoJAPiHAgRkHqTCIYYj8rN9If7wSBwZO\nzBH5sZES5sgrksHTCYMUHDvJmTACuFfGoxzSuyiIcjjRMRvRoGVOmTJFb24Rjb/77rvq888/\n1/YtBGg79dRTFV72ikxQGxTKyPKhf71y5cqsng3tlTEfYGqJd+REl112mZaosOn3SpSJqh3x\nvDLRjBkzNHMGE5JJuk05zCECCScljYGpQYUwU5sy9cd+nbajZsepp5AgIAgIAvmEAN7jiP8X\nVM0Z5ojwIhwUIcUWyh8EhEHKn7Eq+pbicjvoSXYm8FAhIiBrUJowYYL2MEO77BtnfsN8wTjd\ncMMNQauQfD4ReP/997UjAft4eCmG8UJv284UPPfcc1pyFKRMGASMbp3ogw8+0O7nSeOFaBeS\nT2yg4iSYMRgxOw5B64Q5wuZPKH0ILF++XGFvQeBs3Bvjwn7x4sXpa6i0SBDIAQKo+uEuu3//\n/prBMTasbk1BdY4/7KXnzZsnIRDcAEvhfWGQUjgo0qSyCGzatEl9+OGHZW+EvMKGGMlUEGIj\njlqdG9PGJnPatGnq9ddfD1KN5PGJwB133BHqpA6VMrtaHFJAt3HO1EzmGJJF/uyExze/BDNF\nIOM4CTVCDg+iItQE2WQIpQsBVDoJRAlDhF0njCyeHtnUIQEXEgQEAaXfJ8RRxGV2vXr1NCR4\nlXMibEaRFNWoUUPvLbAr9cpUOZUn13KHgDBIucNeavaBABu2TAuSj2LKJGXzGpRxQd3Jq8ic\nem6//fYy9cuFaBFAwoOKnFeJjFPtMLRWBglGgWCwYYiTRKRQVsJVNhvTIG3F5g035XHRokWL\nQuvd29uGPR7OHoTSgQCqwNjdsTbxZyXmJMw7btuFBAFB4D8IEAQcaRCeUdEKwIENXuawByK2\nETGIeKZYP1977TX9W7DLXwTEzXf+jl1RtRy33EE2kl5AwnMSG2u/hpio5nltEypLb7/9dqB6\nvPRB0vwHAbwchnXiwVhhv2QI+yFOBcO4e4XpQpXJSitWrNAni0HU9pirHBocc8wx1iIj+06c\nsTD9dWoIp6hIgfGGJZR7BIjdRaDfTGsYTD1qkbfcckvuGystEARShACqqH379tV/KWqWNCVi\nBIRBihhQKS4eBPAgFpU9hL2FbIjxHOZn44Yqil+jc05pcTN80EEH2ZsgvyNCgKB6GNOGnSsm\nECrN+vrrrzO6YvXTbLsbfeYCG9QghLpfnC6rwTFqgkGyutCNunwpzx8CSIeyMefMMRhlIUGg\nmBCIOjhsNuy8aqBkK0PuxYeAMEjxYSslR4gAJ+YsJjAzcZBf6ZHRM/bbHtxzCsWHAPhmOhH3\nU6tVnTOqMbOXY//tp32c7ofJ71aX3+fBrTzu86zEUa6XuiVNWQQIQuy2phKnRUgQKCYEiC8m\nJAiAgNggyTzICwTKly8f2+aKTRuBCv0QJ/+HHHKInyxqn3320X++MkliXwhUrFixjD2FrwL+\nLzHzzRARzbOdtJt0bp/2+YLuelA1Nja25I+LDj/88EikZtb20VfGRygdCDRq1Cir8TiHQE2a\nNElHY6UVgoAgIAgkjIAwSAkDLtUFQwCPMHZD4mAllc1VrVq1shc9XOnYsaNnpg0m7KKLLvJQ\nqiQJgwDR68MyDowVAWENHXfccZ7H2eSxf7LZxKDXSjVr1lRBT+hRIWzYsKG1uEi/16lTJ3Dc\nj0wNAQN094XSgUCLFi3UEUcc4TjOqENySID7byFBQBAQBIoRAWGQinHU87DPJ5xwgmePcX66\nx6atWbNmfrKUpO3cubNiQ+5mR8JpPxIqAoYKxY9Ahw4dQjE0MB+tWrUqaSg2TRdccEGoMpkD\nVqaLwrmGoa9ftTPa07ZtW7XXXnuVtDHqL0gOwtpxWdvEM0IkeXF3a0Ult99R08RRw/HHH6+l\nhaiV8sdYHXnkkeqpp56KxXNobnsttQsCgoAg4A0BYZC84SSpcowAesFhN6lOXWATeOGFFzrd\ncr3GZoINBqpzmaJscx3m6NFHH411Q+va2CJK0KVLF98qkwYexotAmQTNtBLBY4MSDFCfPn0c\nxx8m+7DDDvPMOLCpReo0ZMiQoM3xlG+//fbTTGKmee2pEEsi7I969uxpuSJf04AAjmmIA4db\ne9wWDx48WBEbacGCBaIOmYYBkjYIAoJAzhAQBiln0EvFfhHgtD0KA3xTr1F7w8YkKLG5Je4O\nEgdOXtlQwszxyWYWqQHuwI8++uigVUg+nwjAuN5///2emQ5TPOOHWtHo0aPNpZJPrhOAljR+\niHmAK+5M0kMkmI888ohiDrpJkigL5mjmzJm+PC76aa81LcFo/TohseY332k30iMkFULpRAA1\n0ssvv1z16NFDnXjiielspLRKEBAEBIEEERAGKUGwpapwCByywynCoEGDMkpr/Db/xP8AAEAA\nSURBVJQO84JkJ4qTeE5hCQK7bt06NWPGDDVu3Dj14IMP6iCLU6ZMURUqVPDTNEkbAQJ169ZV\nU6dO1UyHF6YG5qRSpUrqySefzGgXdN5556lRo0Z5ZpIoE+aIWDLZVMtgvl588UUtuWJewuBZ\nCSYKdTyCEL788svqqKOOst6O7TtM22233ea5v04NoT94S+OZEBIEBAFBQBAQBPIFgZ12nBDG\n4zc5pQgQFDSsbv3uu++uJRm//fZbSnvpr1nlypXTGzh7nBZ/pSSXumvXrnqjGMazGKfac+fO\nVRjKp52YbzBz27ZtC+z1LG19xHYrzjg+pr/r16/XTPW7776rJXr2Zx9mhHmE3RISE7B2o6VL\nl2pVJILS4jjELtWkTK5fccUVql+/fr4Y+i+++EI999xzOqgs8ZdgvpmjZ599tgrqTMStP073\nkVThdY6/m2++Wd19991l+umUz3oNphAsZs+erXCykktCZRAmM4k5l0Q/Yb6RVBMfrhCI9Y1n\nL4r3c1rwSGqNS6K/zDfWou3bt+uYgUnUyfrBcyskCOQKAWGQAiAvDFIA0CLM8vvvv+vN50sv\nveSb2UWawKZt2rRp6uSTT46wVfEVJQxSeGyXLVum5s2bp2Bu2CTzwkdCgmc5vHn5Dd7LudLC\nhQt1me+9955mXolLhBSqadOm6pxzzklEDS48Ms4lWBkkUmBDh30KEiE7k+lUgsGXfAcffLBT\nkkSvCYOUKNy+KxMGyTdkiWYQBilRuKWylCAgDFKAgRAGKQBoMWSZOHGiGjt2rFYB8iJN4kSK\n+C4PPPCAQl0vX4j5xmnxTz/9JBKkFA6aOen89ddfC+ZE384gAftnn32mVQyRvKL2Z4/hBA4Q\njCKqsJ06dfIlPdOZY/onDFJMwEZUrDBIEQEZUzHCIMUErBSbagT+80ZLdROlcYKAMwJ4Bjv3\n3HPVhAkT1NNPP60NyjnhhlnihJ8NG39InIi/0rt3b+1MgTRpJjbazz//vFa1WrFihfrmm2+0\nyhZ9wZ4JyRcSioYNG+oT/TT3RdpWOAggCbrnnnvU5s2b1QsvvKBef/11bXcHo7T33nsrXPGf\neuqpel6yoRISBAQBQUAQEATyFQGRIAUYOZEgBQAt5iwwFW+//bZavXp1iZ0BqnR4mWPjFjR4\nKLYkH374od4U8p2TaIIrUnbU9Mcff2jvaxi0s+nMJBVDTRB7igMOOEANHz5cNW/ePOqmxF5e\nIennw7gyLwpdgsSkWLVqlRo6dKjCpstue8V9HDLgzGLkyJGuXvlInxSJBCkppIPVIxKkYLgl\nlUskSEkhLfWkCQFhkAKMhjBIAUBLMAsOGBij77//PnCtGzZsUHfddZeaP3++NkxlEwxTgv0F\n5XNSjlvcBg0aBK7DmvG7777TKklr1qzJyBhZ05vvMEvEh8LbWNSn9hhML168WOGMAAlBrVq1\n1LHHHmuqDvWZCwYJhvPjjz9WOD9ARaxixYqqcuXKofpB5mJgkFDvbN++vUKi6YWYl9gsIbVN\nAwmDlIZRyNwGYZAyY5OGO8IgpWEUpA1JIyAqdkkjLvWlGgEkN5yQY1yOKh5SHch88h0midhG\nixYtUvXq1VOTJ08O5W0Hz2WozMHQeTGApw2GOMWfM2eO3vhHFfn+3nvv1W7Lf/jhB1NNySfM\nwOmnn66w/0JakA+E+3XcsOPUA3VLXvZIAxlTNs5t27ZVvXr1cgzkmg/9i7uN4NesWTONnde6\nmJdjxoxRb775po7z5DWfpBMEBAFBQBAQBNKAQLqNMdKAkLShaBCAIcCmiUjyZgOdqfPYOLEJ\nfOedd1SjRo0U7qSDEGpZnMzjwtsvc2TqQzKC5CnsaT0SIwJG3nDDDcqJOaI+mApi9hCL5/HH\nHzdNSOUn4zNs2DAdpBSbLpgjCLwMw4t9F3Y1derU0dLCVHYkh4366quvVOPGjUuw89sUPP0R\nRFlIEBAEBAFBQBDIJwSEQcqn0ZK2xoYAG+bOnTtro/NMtj9OlcPUIPlp3bq1juHhlCbbteuu\nu057BzMb9mxps92jzRjOE5Q0CBEDCyYB9TMvBINIjB8kSWkkGNxLLrlEB+w1zGymdoIdjOpl\nl12mA/1mSleM18844wxHWyM/WCBFuuWWW/xkkbSCgCAgCAgCgkBOERAGKafwS+VpQYBAmCtX\nrgwkxWEzTsDGvn37+urO2rVr1cyZM33ZHGWrAGbtxhtvVL/88ku2ZI73iAfkhzE0hRBEFDul\ntBE44GXNT58Yx2uvvVYtWbIkbd3JSXtGjRqVUZLot0F33nmndlPvN5+kFwQEAUFAEBAEcoGA\nMEi5QF3qTBUCOEi44447fG2m7R2AOcEm6a233rLfyvh70qRJ2sA/Y4IAN5BEwXT5IZgcVPyC\nUo8ePYJmjSUfDjamTp0aaDxRyxswYEBoqUksHUu4UJiaqAjmc+DAgVEVJ+UIAoKAICAICAKx\nIiAMUqzwSuH5gMAzzzyj4yZF0dZp06Z5KgZGZt68eSW2MJ4yeUiEkwm/DBJOJsIQKobY+KSF\niIsVJtYV6oZp6k8ucJ0xY0bkcxMVUCFBQBAQBAQBQSAfEBAGKR9GSdoYKwJ4gYOxCEuckuPA\nACmEGxGvKahTBreycdjgtT/Es/Gjhpap7vvuuy/TrUSvw3iyEQ9j00Ve5kQxE45Koibm2Sef\nfBJ1sVKeICAICAKCgCAQOQLCIEUOqRSYbwjArERFGPt//vnnrsV99NFHkcctMpXCqBG7yAst\nWLDASzLXNB988IFrmiQS0G/GIAyB3/Lly8MUkfd5ce0dB+HVTkgQEAQEAUFAEEg7AsIgpX2E\npH2xIsBmOOyG2tpAgsli0+RGuNEmbRxErKJMbrrt9Xlh5ux5nH4HcQzhVE7Ya1u3btWBfMOW\nE8YmK2zdaci/ffv2WJrh1UtiLJVLoYKAICAICAKCgEcEhEHyCJQkK0wEsFWJklHBpTQMiht5\nSeNWRqb7MH1ey99ll10yFePrehibH18VuST+61//qmNYuSRzvU0w2WKmuMbzL3/5SzHDKn0X\nBAQBQUAQyBMEhEHKk4GSZsaHwL777htp4QceeKBrefvvv38kG3mnimCQKN8LValSxUsy1zR7\n7723a5okElSsWNGTDZhbWw444AC3JAV9f7/99oulf1WrVo2lXClUEBAEBAFBQBCIEgFhkKJE\nU8rKSwQaNGig/vSnP0XS9kqVKqly5cq5llWjRg3PjhRcC7Ml2HXXXZUXJo1sbdu2teUO9hMM\n00Dly5dXBx10UKimIOVo3LhxqDLyPXPdunVj6UKjRo1iKVcKFQQEAUFAEBAEokRAGKQo0ZSy\n8hKBFi1ahHILbTqNWtYFF1xgfmb9rFy5sqpQoULWNEFuohrVsGFDz2qDSH6iaEfv3r2DNDeW\nPO3btw/lAAMvhC1btoylbflS6BVXXBF5Uzk42H333SMvVwoUBAQBQUAQEASiRkAYpKgRlfLy\nDgGkBWGlDqbTXbt2NV9dPzt16qSwmYmSsKe6+OKLfRUZNiDoiSeeqA477DBfdcaZuFu3biqo\nbRXSo7POOksh4StmOuaYYxTSuCipT58+URYnZQkCgoAgIAgIArEhIAxSbNBKwfmCAFKXW265\nJZSaHRvrgQMHKj+2G507d47E45rBGTXB6tWrawmSuebls379+ur888/3krRMmp133llNnz69\nzPVcXthtt93UlClTfI8n82CfffbRcyGX7U9L3WAYFe25557qsssui6o4KUcQEAQEAUFAEIgV\nAWGQYoVXCs8XBE455RR1zTXXePb+Zu0XqnXYVvhVS2LTOGbMGN8beWvd1u9Ij26//XbrJc/f\nJ02apE466STP6UmI9Is4SmlUm8ImasKECXo8vXgphMGFuX388cdV1E47fIGaosQ8E82bN4+k\nRTNmzIikHClEEBAEBAFBQBBIAgFhkJJAWerICwRgcIYMGaIZFi+bajrFxvqcc87REguveaxg\ntGrVSl1yySWhbGYoD+nR+PHjVc2aNa3F+/r+1FNPKdSgvLh4RgVt5cqVKs1eycD26aef1m1k\nnJwcccDc0l/U6l566aVU98fXYEaUeOrUqeqII44IVdrYsWPV8ccfH6oMySwICAKCgCAgCCSJ\ngDBISaItdaUegR49eqgnnnhCbwqJJeQUT4gNNRtrjM6R2Nx1112hGJwRI0YoNvNOdXkBjI2/\nKcNL+mxpkKKtW7dOdd6h/oera8NUwPzhHa9hw4Zqzpw56sUXX1RIwNJOtWvXVq+++qq6//77\nteMFnGMg8cI5xZFHHqkYbxgj1MlEcuQ8mgsXLgzk1Y/nZNq0aapDhw7OBctVQUAQEAQEAUEg\npQjstCOw5b9T2rZYmvXtt9+qf/3rX6HKZoOFp6vffvstVDlpycxGn835li1b0tKkUO1AWsAY\nff/994HL4bF444031HPPPacWLVqktm7dqri21157qTp16mipEc4donSywGZy2LBh2gPdP//5\nT9e2w6ThjGDy5MnqtNNOc02fpgTEaQLTQiCeHdTzfv31V/Xjjz8WQpfU3/72N+2G/h//+EdJ\nf+bNm6ft7Lz0Ebs25qUXl/clFcT4hfGByS+UOWeefS9jESOskRW9xx576DU7ivdzZI0KWVAh\nrXHMNw6Qtm/frn7++eeQyHjLbtZVb6kllSAQPQJ/jr5IKVEQyH8E2Exhg8FfUoTU5swzz9RS\nqVmzZpVUa2WWYMj++OMPLc3B6L179+56M1uSWL4IAjEhgD0Sfy+88IKWyL3//vt6s0RgYg4l\nkDhi+zVgwIDIPeDF1CUpVhAQBAQBQUAQcERAGCRHWOSiIJAbBHA3jtreqFGjtAQLO5/Nmzcr\nmCSkRQcffLAiiCd/QVXyctMzqbUQEPjhhx/URx99pKWzP/30k5ak0y8kTUhs+Vu9erUwSIUw\n2NIHQUAQEASKGAFhkIp48KXr6UUAex9U+PhDXRAVlG3btumNaHpbne6WoSL51Vdfqa+//lqr\nRhIgF1skIXcEUCnGTmvcuHEKiZFV9c7kRvVm/vz52rNhtWrV1M033yzOGQw48ikICAKCgCCQ\nVwgIg5RXwyWNFQQEAb8IfP7554pguM8++6y2EcJ5AMwSfwS4bd++vXZKAVMqVBYB7Fy6dOmi\nli9friWZZVP89wqMFLR27VodW+umm25SHTt2/G8C+SYICAKCgCAgCOQBAuLFLg8GSZooCAgC\nwRAgFhIOA2bOnFniQAEJCMwRtHHjRoUbalQWX3/99WCVFHAuHE+cd955npgjKwzgC7N03XXX\nKVyFCwkCgoAgIAgIAvmEgDBI+TRa0lZBQBDwhAAb9J49e+rYUGzUs3muNPYz7dq1U7Nnz/ZU\nfrEk6t27t9q0aZOr5CgTHjgUGTlypFq8eHGmJHJdEBAEBAFBQBBIHQLCIKVuSKRBgoAgEBYB\nHF3goj0bY2SvA0aqb9++asWKFfZbRfmb+FF4rLN6UQwCBLji2Q5mSUgQEAQEAUFAEMgHBIRB\nyodRkjYKAoKAZwSQeIwfP94Xc2QKZzPfv3//EhU8c70YP1GPA48o6JtvvlGPPfZYFEVJGYKA\nICAICAKCQOwICIMUO8RSgSAgCCSJAHZHf/rTnwJViWoeDBaSk2KmVatWqfXr10cGAVKoBx98\nMLLypCBBQBAQBAQBQSBOBIRBihNdKVsQEAQSRQCJh1/VOnsDKWPOnDn2y0X1+5VXXlE777xz\npH3Gsx0e8YQEAUFAEBAEBIG0IyAMUtpHSNonCAgCnhH49NNP1fbt2z2nd0qIl7u3337b6VbR\nXHvvvffU77//Hml/ca++YcOGSMuUwgQBQUAQEAQEgTgQEAYpDlSlTEFAEMgJAlu3blV//nP4\n8G7fffddTtqflkq3bNkSeVMYF4IdCwkCgoAgIAgIAmlHQBiktI+QtE8QEAQ8I8Am3MQ48pzJ\nIWEUTJZDsXlzKagNl1sH4yrXrV65LwgIAoKAICAI+EFAGCQ/aElaQUAQSDUCFSpUiMTz2v77\n75/qfsbduMqVK6uddtop0mpw1HDAAQdEWqYUJggIAoKAICAIxIGAMEhxoCplCgKCQE4QOPDA\nA1X58uVD1f2Xv/xFNWrUKFQZ+Z75uOOOU3/9618j7QbSo6pVq0ZaphQmCAgCgoAgIAjEgYAw\nSHGgKmUKAoJAzhBo06aN+p//+Z/A9ePF7oILLgicvxAyNm3aNFInDUij6tevH7lnvELAWvog\nCAgCgoAgkD4EhEFK35hIiwQBQSAEAj179lRIgYIQtkennXaaQoJSzFSpUiV15plnRuLwAhzx\nYNe9e/dihlT6LggIAoKAIJBHCAiDlEeDJU0VBAQBdwT23HNPNXHiRL0pd0/93xRIOfbYYw81\nbty4/14s4m8jR45UuDwPS6jW1a5dW51++ulhi5L8goAgIAgIAoJAIggIg5QIzFKJICAIJInA\n2WefrUaNGqW8ek1DcgRj9dhjj4W2YUqyn3HWVa1aNTVw4MDA0jjTNmyZJkyYYH7KpyAgCAgC\ngoAgkHoEhEFK/RBJAwUBQSAIAp07d1aPPPKIqlixYkabJBgj1L9OOukk9fLLL6uaNWsGqapg\n8/Tr1081b948EJOERA58H3jgAXXooYcWLEbSMUFAEBAEBIHCQyB8RMXCw0R6JAgIAgWCwKmn\nnqqWLl2q5syZo5555hm1fPly9cMPP+iN+3777ae91bVq1UrVq1evQHocfTfuvvtudfDBB6u7\n7rpLF+5F7Q4nGbvttpt6+OGHVa1ataJvlJQoCAgCgoAgIAjEiIAwSDGCK0ULAoJA7hFAitGy\nZUv9l/vW5F8LkARdc801mpm8/vrr1Zo1azSDSVwjO6FO98cff6hOnTqp/v37q7333tueRH4L\nAoKAICAICAKpR0AYpNQPkTQwFwj8+OOP2m7ihRdeUJs3b1ZmM4hNC5IHXBazATzssMNy0Typ\nM8cIzJs3T40dO1Z98skn6l//+ldJa2AmYAqaNGmibr755oyqfSUZ8ugLUrYFCxaoZcuWqfnz\n56slS5aoL7/8Uvd/9913V9WrV1cNGzZU5557rn5G8qhrkTYVBvHee+9Vs2bNUhs3btTu0v/9\n739rVU7s3HBY0atXL3XiiSeWqhf38tu3b9fqjLvuumupe/JDEBAEBAFBIFkEdtqxcP872Spz\nW9u3335bakMTpDVsBniZ/fbbb0Gypy5PuXLl9Inwli1bUte2IA3CxTNj9P333/vO/tNPP6nL\nL79cvfbaa57yVqlSRU2dOlVh0B4X0Re8q23btk394x//iKuaRMvdf//91datWxOtM4rKZsyY\noa677jrPa0jdunX1Rtmrs4go2hhFGX/729/0XCuU+cahBsxr3HNu8ODB2u7NixoijHTv3r3V\np59+qu3fOIgx+WCQUE1s0aKFQgWUNcBKqDDusssuioOcQiDWN/oYxfs5LXjk6xrnhB/zbd99\n99UM/M8//+yUJPJrSP55boUEgVwhIAxSAORZyIVBCgBcQlmCMkiLFy9WHTp00CpCfps6dOhQ\nfSrsN5+X9MIgeUEp/jTnnHOOWrFihe+KYI6ee+65vHIAIQySv2H+6quvtApiEIYFxi3TOSUq\ni2xOUXG85JJLSlzXC4Pkb3xykVoYpHCoC4MUDj/JHR4B8WIXHkMpoQAQQDLQtm3bQMwR3cel\nNB6/hAoTgaOPPjoQcwQaHKY0bdpUPf/884UJTpH36r333tNOPoIwR0CXiTniHhI8TuxHjBih\n2rdvr0/wuS4kCAgCgoAgEC8CwiDFi6+UngcIvPXWWwrVmLD0+OOPqzvvvDNsMZI/ZQgQ4BT1\nxrDUtWtX9dlnn4UtRvKnCAHUeM877zzNBMfZLGwg8cZIXYWi2h0nXlK2ICAICAJhERAGKSyC\nkj+vEWDjgeQoKhozZoxavXp1VMVJOTlG4MYbb1Tr16+PrBU4MRAqHASIEWUcuMTdK+r5+OOP\nVZ8+feKuSsoXBAQBQaDoERAGqeinQHEDgCe6qDc4l112WXGDWkC9nzx5cqS9+f3339Xo0aMj\nLVMKyw0CTz31lNq0aVOilbNW4UHwlVdeSbReqUwQEAQEgWJDILUMEh59Zs6cqZ588kntZtk+\nMKiqPPbYYwo3zLhGFRIE/CKAxyiCh0ZNzE2RIkWNavLlDRo0KKt9SNAW3XPPPUGzSr4UIYDd\nYS4ImzY8KQoJAoKAICAIxIdAKhkkghF27txZbdiwQXt/6tixo3rzzTdLUHjooYcU19auXauw\n++jZs2cgl84lBcqXokTg0UcfLXGrGzUAt99+e9RFSnkJIzB79uxYaiRuUpRqe7E0UgrNigDu\nqL/++uusaeK8+dFHH6l33nknziqkbEFAEBAEihqB1DFIbByIQYNXMRil+++/XzVo0EBNnDhR\nDxSn8w888IC644471MiRIxUqMLhCRdokJAj4QeDZZ5/1k9xXWhw/COU3Ar/++mtsHWD9Espf\nBDhcySXh5vvFF1/MZROkbkFAEBAEChqB1DFIeAXC2xMxBAwdd9xxiiCmuEN9++23VcWKFXUQ\nPe7jK/+ss86Sl4UBSz49I8ApbFwU1OVvXO2Rcv0hELe3uffff99fgyR1qhB49913c9oe3H/n\nug05BUAqFwQEAUEgZgT+HHP5vos/8cQTFX9Wevnll9WRRx6pI6ETkO/AAw+03tYMEyoP2JT8\nv//3X55v3rx56oYbbiiV9t5771XHHntsqWt+fxDYDyKYYiGQ6c8BBxxQCN3RfaBPbv2J03aN\nuehWv1+w99prL79ZUpvey/jksvFLliyJtfpffvkl8vkRZYMZn1122SXKInNaVtRrHLGJck2o\n+EW9xuSqT2Z89tlnn1w1IfJ6077GBenwbrvtpnbdddcgWX3n4RBASBDIJQKpY5DsYKA6RyC+\nKVOm6FtIkuyMyR577KGZI07t995775Iidt5551KSKG4gccLINQwZJoxNcCEQmEBhcUkLFryY\nGKNc9yeq+q3zLVtQybTg76UdUTyHXuoJmuZPf/pT0Kye8jFHo5ofnir0mYj+M9dkjfMJXILJ\n0z6H/EDBGsecY77JGucHuWTSmncq45PUmlAo8yCZEZJa4kAg1QwS9kcPP/ywdotbrVo13f+/\n/OUv6o8//iiFhfltP9k444wzFH9WQtLEXxjafffd9eamUAL2lStXTjOOYXEJg2mUeZkjjBHq\nmtkIRvunn37KliTwPV72UeFJXzgEoK2FcqqGCm1U+AQepCwZDz300Cx3w99iPNPcf54N5lqh\nzLf99ttPayBEhXkaJB2omkfVn/AzOlwJPA+scz/88IPCiUkhUNrXOD8YY/O277776iDFSUlP\nOUSz7+n8tFnSCgJhEfivPlrYkiLMzwnF2LFjteOF2267TZ188sklpbOZtz+gbByRHOGsQUgQ\n8IpA9erVvSb1nS4NGyjfjZYMJQhYbSBLLkb4pXbt2hGWJkUljUDdunWTrrJUfWhH1KlTp9Q1\n+SEICAKCgCAQHQKpZJCIXo9b77///e8KBw1W4mR33bp1paRIa9asKWOXZM0j3wUBJwRatmzp\ndDmSa6ecckok5UghuUPArsobZUv69esXZXFSVsIItGnTJuEaS1dHwOEmTZqUvii/BAFBQBAQ\nBCJDIHUM0vPPP69eeukl1XlHHCQkRdgfmT909s8880zdeVTvkDRt3LixJFZSZKhIQUWBwPnn\nn69VC+Po7MCBA+MoVspMEIFOnTrFUhun/wcffHAsZUuhySAA85yrMcRep1atWuroo49OprNS\niyAgCAgCRYhA6myQnnzyST0MqNjZacGCBVonFQnTiBEjtH0SnpaQBNSvX9+eXH4LAq4IXHzx\nxWratGmu6fwkwONi3DYsftojaYMhMGTIEDVp0qTIjZKvvvrqYA2SXKlCYNSoUSouJtqtozfd\ndJNbErkvCAgCgoAgEAKB1DFI9913n2t3ULt7+umndSRzjG+Nly/XjJJAELAhwCYHpjwql994\n+4ma4bI1WX4miMCwYcMUf1ERrtq7d+8eVXFSTg4RQJvhmGOOUatWrUqsFRjLt2vXTtWrVy+x\nOqUiQUAQEASKEYHUqdj5GQRiQAhz5AcxSWtHgPlDvKyo5tGECRNUpUqV7NXI7zxFoFu3burU\nU0+NpPUwz9hWChUOAhzU4YEtCYI5wjEDhzpCgoAgIAgIAvEikNcMUrzQSOnFgkDVqlUVLuXZ\nwIahvn37qtatW4cpQvKmEAFisTFHwhBza+7cuWrPPfcMU4zkTRkC2JO98MILsQfVxeUxNpOP\nPvqojheUMhikOYKAICAIFBwCwiAV3JBKh4IggEeoV155JVDcBaRPkydPVmJbEgT5/MizaNEi\n1aJFi0CNxU7y3XffLeORM1Bhkil1CFSuXFk7EjrkkEMCtS1TUGKuwxgddNBBOlA60mlivAkJ\nAoKAICAIxI9A6myQ4u+y1CAIOCNAMOINGzaoQYMG6RhcXiKG484bd/QE0Ss2Ap8lS5aohQsX\nagbg66+/1gGUiUmGhy2wwU4jrmB/H374oT69X7Zsmdq0aZPC9fFuu+2mqlSpok488UTVtGlT\nRTDNqGjKlCnqkksuUV27dlU//vija7FIjXAHPX78eNe0+ZTgiSee0M/HBx98oG33mAds3Ikd\ndcIJJ6jevXvrMSBQM451mCOEZiBeHWpiBx54oFYVa9SoUcEwjQQ5pZ849Rg3bpwOqOk2pocf\nfri2byNMBYczzOdffvlFS4jAkjl89tln62DnMEpCgoAgIAgIAskhsNO/d1By1eW+JiKPh43U\nzcsQl+O//fZb7jsUQQsIvssLeMuWLRGUlvsi2KwxRmzQghKbvkceeUTNnj1bM01sXHhUUKnh\nxLhx48ba2J564ibqwM5h27Zt6h//+Efc1bmWz9zHzT4bQTCGEbA/U5x+88e9Ll26KNQPrXGF\n2ABu3brVtS6nBEuXLlUjR45UK1eu1MGhnTBhnGCYYNCGDh2qjjjiCKeifF+bP3++ZgCYD16I\nDa4XxzNeykoyDWMFrlZsx4wZoyWl9rF2aheM6q+//qoZon/+85/62bGmg1H6448/9LOEt8Dm\nzZtbb0f+HWc+zMWgc85rg1C3Gz16tProo490fU6HLDwXXEdl7tprr9USIq/lm3Tgh2TSC6Nu\n8qT5k/WNdS6K93Na+hlmjUtLH0w7mG8cAuLMiPArSRB7Ep5bIUEgVwgIgxQAeRZyYZACAJdQ\nligYpISa6qmaNDFISIk6duyo1q9fX4YpytQZXq5IkaZPn64lB6QLsnn4/+2dCfxM1fvHH1rs\n+75lyRJFsheiKFmSsi9FhLJlLZHIlijil7IW2qwVsmSNCJEiKpE9+y5LKv4+5998m++Y5a5z\n7535nNeL78y95z7nOe9zZ+Z87jnnOehQ9+vXT9nBtEZ8BiMl3AvI98orr0i7du0iZQ97HiHh\n8aRfb0L9V69e7di+OXr9RX5/gXTy5Ek1imGXuIBgqFq1qhJfEFZ2JLsFEh6WdenSRbCPHx6k\naHnuiPsC+UaOHCn169fXVW1cS4GkC1nUMxv5jou6kxoLxP1GgaQRFrPFDAGuQYqZpmRFSMBe\nAphSVa1aNV3iCB5hBOHMmTNqvzJE/TKSMBqBABhYpI5OpRZxhHIw2oGn9Yj81bVrV00d12D+\nYeqYEXEEW6g/pkthCpbXEoRwqVKlbB15QVt+/fXXgnWAEOBeSxCQtWrVkqVLl6p7TYs4Qh1x\nX+D+xH05bNgwr1Wb/pIACZBATBOgQIrp5mXlSMAaApj60rhxYzWlTssUq2ClYgQI61MwRU5P\nQofzueeeU+uc0Kk0klA2pksa6YjWrVtXDhw4YKTYRNdA4IGjVxKm02CKoNH21lNPtOvBgwel\nWbNmamqknmudzAs2GFHdvXu3EjxGfIFAxNqlqVOnGrmc15AACZAACdhAgALJBqg0SQKxRAAC\npVWrVmq9g9an46Hqj87gU089pWtEAp3Hr64HgjAqjny+oDMLW1gnojWNGTNGNm3apDV72Hxg\nV7FixbB53HQS6+ywjitaCe3z22+/Se/evaNVpOlyBgwYID/99JNpEQkBj7VyiHbIRAIkQAIk\n4DwBCiTn24AekICrCWDkZevWraY7gb5KQuj07dvX9zbsX0y5Gj58uGVlQ6AhHLvWUZHXX389\nrH96T2KBM8I1uz3Nnj1bBSeJtp+4NxAlzwtCAZH5pkyZYlq4+xhDQCOCJhMJkAAJkIDzBCiQ\nnG8DekACriaAaHV4wm1VQicY04m0LPqfOHGiigZmVdmwg8h7c+fOjWiyf//+htcshTM+evTo\ncKddcQ7R1ZxKCNrghdDoaEcrw29jrRzWfGE9FhMJkAAJkICzBCiQnOXP0knA1QSwRwv2GLI6\nISrSvHnzIpqdPn26ZU/ofYVBoCGEe6SEgBB2JITOtoOpVb5indThw4etMqfbDsT4ypUr1b5J\nui+O0gWIWrdw4ULNI5F63JoxY4ae7MxLAiRAAiRgAwEKJBug0iQJxAqBNWvWqL2GrK4P1rYs\nX748rFnsJYO9n+xIWFcUaZodghTYlRDa2a1Ji3i023eMIm3YsMHuYgzb37x5sy2ji5gCivV2\nTCRAAiRAAs4SoEBylj9LJwFXE8AIkl0L9RE2PFzCdCNs+GpHwihFuFEcu0dQtmzZYke1LLHp\nhvU/2NQVa3zcmuCbldPr/OuJhwLR2ozTv1y+JgESIAES+I8ABdJ/LPiKBEgggMCRI0cCjlj3\nFnsjhUvYXwYdZTsSOrewHyrZLWDOnj0bqmjHjx8/ftxxHzC6F659nHYQvmG0x67k5rrbVWfa\nJQESIAE3EaBAclNr0BcSIAESIIG4J2A2nH7cAyQAEiABEjBJgALJJEBeTgKxTCB79uy2VS9d\nunRhbWfKlMmWdR4oFFPsYD9Uuuuuu0KdsuR4pLpbUohBI5kzZzZ4pXWX3XLLLZIxY0brDFps\nCb5hnZRdKdy9aVeZtEsCJEACJPAfAQqk/1jwFQmQQACBYsWK2bYO6I477ggoLfHbwoUL27b+\nCZ3bvHnzJi7Q713u3Ln93ln/skSJEtYbtcjiPffcY5El42YwghLp/jBu3fyV8M3K0Pf+HmXI\nkEHSpk3rf4ivSYAESIAEokyAAinKwFkcCXiJQKVKlQRhqa1OCL5QrVq1sGYLFSok6dOnD5vH\n6MlSpUoJQo2HS6lTpw532tS5rl27mrrezoubNm1qp3lNtiE+ypcvrymvE5lw/9ixPg7CvUqV\nKk5UiWWSAAmQAAn4EaBA8oPBlyRAAokJYKrZbbfdlvigBe+wF9Fjjz0W0VKTJk0iCpmIRgIy\nQBg1b9484OiNbxs2bHjjQQuOoPzbb7/dAkv2mMiaNavYObUyktcQCVWrVhU3T0NMmTKlPPLI\nI5ZHsoPoaty4cSREPE8CJEACJGAzAQokmwHTPAl4nUCPHj0s7QhCILRo0UKyZcsWEU3btm3l\n6tWrEfPpyYCOd7169SJeMmTIEFtGCTp37hyxbKczoO5OJbR3t27dnCpec7ldunSxNJJd0qRJ\nlXDmCJLmJmBGEiABErCNAAWSbWhpmARig0D9+vXlzjvvFCyctyLBztChQzWZypEjh0CgRZoO\np8nY9UwYnRg2bJhme927d9dqWlO+VKlSqfpoyuxgJoxiFChQIOoeoJ0ff/xxKV26dNTL1lsg\nPhMQ+lbdmxg9GjFihF43mJ8ESIAESMAGAhRINkClSRKIJQLouE2ZMkXSpEljuloQKLClZwoX\nntRXrFjRdEcUwqxdu3ZSs2ZNzfWAOCtZsqTm/OEyguPatWvDZXHVuaVLl0qyZMmi5hP2psqX\nL58MHz48amWaLWjgwIFSpEgR0yOsqHv//v2lTJkyZl3i9SRAAiRAAhYQoECyACJNkECsE8B0\nuOnTp6t1IejMGUkQR6NGjVJiR8/1EBYTJkwQrIcy+rQePtepU0f69u2rp2iVd+HChboEXagC\nPvzwQ8H6Hq8kBMiYP3++6c6/lvqiXXPmzCkff/yxYH2PVxIEJNoVERGN3pv4XDzzzDPqn1fq\nTT9JgARIINYJUCDFeguzfiRgEQEIlOXLl0vBggV1TbdDxxFhi2fNmiUNGjQw5A2mpn322Wfq\neqzVwD8tCcIIAuvFF1+UsWPHar4u0PbmzZsFEf2MJPjw9ddfywMPPGDkckevQZtv2rQp7J5R\nZh0EnwoVKghGrCCSvJayZMkiX375pVStWlXX3kgY0UTd33jjDXnllVe8Vm36SwIkQAIxTcDY\no+CYRsLKkQAJhCKADuySJUvUNDmMBp0/f15lDdwTBgIGHUAsuH/yyScFa3mwv4uZBHvoTNat\nW1cGDRokP/30k3pqHywMOcKIX758We677z7V+cR+TmbTzJkz1YjK888/r3l/pgcffFCNMGgp\n+8yZM0qAbty4UXbu3KnYpkiRQq0FwpochEXHmiw96ciRI7Js2TL5/vvvZdeuXXLp0iU1VRIh\n1MuWLSvwL1K7YNTrxx9/lAEDBsh7772naf8fH3/f30CfffcG7qfevXurdUeBebz0HqNeU65P\nHcVoIwJc7Nu3T4kfRGsMTGCCe/bhhx8WBOzAKF2NGjXkwIED6r7CZwcb0WKNE6ItVq9ePdBE\n2Pfnzp1LuI927NiRcB/lz59fEJ4c91GuXLlUgAmsx0P5uE/wGcb+UxBtaHP4h2l/RkfGwjrJ\nkyRAAiTgcgJJrn8hXnO5j5a6d+LECfnrr79M2cT+KP/884/qbJgy5JKLM2fOrH4U8SMZCwmd\nL7TR6dOnY6E6qi5Y/3Pq1Clb9iQyCgkdKoyMfPXVV4IRlmPHjqnPBTrc6NxVrlxZdbKCrV1C\nBwz5zaTt27erUYcNGzaoDikEEdodIbTvvfdeFYbZjhDl8Pmbb75RIg0dUJTrS5guhbohSl6/\nfv18h8P+RccY624+//xz9TnE95N/5D6MgGEqF8rBKFSfPn0U33BGwea1116TFStWqI1+0SH3\n/6r3CVi0IcKtv/DCC4nCuWPED9cEE5+YUobRQNT94sWLyld0qjNlyiTlypVTnX4IUnzXLlq0\nSLH65ZdfVEcdn02IIogz1AX5UT+7E0Z5UI7Ze06rn999912CSDl48KBAKOFzgM2PIdqxUTCm\ne27ZsiWiSQgqRPXzj34I0QLxfPbs2YTrf//9d/UAYc6cOWokK/A+QkafYIUvvocbCQZCvCha\ntKh8+umntoZdhz/47Frx+xyiGlE/bMV3XNSdDlEg7jd8vv/44w/N900IU5oP4zsFn1smEnCK\nAAWSAfIUSAagRfESCqQowjZYlBWdh/Xr1ytRgelN6PhCAKDjnydPHrXe6IknnhB07uxI+/fv\nF3RE582bp0Zm8MAECU/+0fGH6MCT+kid/08++USNoCBfsNGGQN/RaUBZ2Gi2Z8+eN9gHgzff\nfFOt9UJeLQ+D0PnBdRBUzZo1U0WGE0iBPnnhfbQFUjgm48aNEwR30Jsw6oPRQISpDxRIuBcR\nUARJy32kt2zkHzNmjOEpspHKo0CKRMjZ8xRIzvJn6c4QoEAywJ0CyQC0KF5CgRRF2AaLMiOQ\nMP2sV69egqf0EBaB0/vgEn7Qcbx27doyePBgy55EXrhwQdn74IMP1BTCYCMsGEWCUEOYbIRt\nDhWZDOtO3n//fSV49GLEPV71+pqXiRMnJkyBQse4ffv2atRIizAKLBOCCtMhMUWMAimQjjXv\nMQoEMWM0YSQRU1wxQusbQUJ7QXT5RLpR21quQzAJI+Iukm0KpEiEnD1PgeQsf5buDAFtK52d\n8Y2lkgAJkEAiAljIj7UREEfoEAYTR7gAYgHT1BYvXqzW2WzdujWRHSNvMBXuoYceEoz6wHYw\ncQS78AsC5ddff1VrazAlLTDhafzUqVMNd2phf9WqVQmjBrAP0bhy5UpNo0aB/uA9WMLXt956\nK9hpHjNJAOt9zIgjFI977pFHHlFTnfAeAnn8+PGG7yPY0JMmTZqkIg3quYZ5SYAESMCLBCiQ\nvNhq9JkE4pAA1v20bt1adRK1Pi2HkMDaLWx2u3fvXsPUYAPT5iCStE5hwrQ1+PnSSy8l6hhD\n2GDNkZFRHv8KwI+5c+fKtGnTlLBBlD+tvvnb8X8NnxAIA1O5mKwjgLV6EMVWJATagFBfs2aN\nGs0J9ZDAirKC2cDUzmit5QpWPo+RAAmQQDQIcIqdAcqcYmcAWhQv4RS7KMI2WJTeKXYnT55U\ngRewSNhIwrQ3rE1avXq1CoSg1wbCkyO6nFFRg+lrGP1CAAmEtD506JBeF0Lmx7QrTDX0DxYR\nMrPGE1jvgsAbWoWoRrOOZXN6DRKmxFkdNAafoePHjycKvhEtwAh+gjWAViVOsbOKpD12OMXO\nHq606m4CHEFyd/vQOxIggesEsJbHzOgIOvoQJR999JFunpi2hkh5RsWRr0CsOUJIZXRqrUwY\nQTDrW6A/8BEjUkzmCSxYsMBycQSvfIFJzHuo3wKClHAUST83XkECJOAdAhRI3mkrekoCcUkA\n4YghbMwIJIDD9UbW1+AasyMpEDGYEoU1I1aLGfhm1r/AGwussEaKyTyB//3vf+aNuNACQsMz\nkQAJkECsEqBAitWWZb1IIEYIYC8fTFGzIuGp988//6zZFDZvRUAIKxKmqVgRLMIKX7TYwJRC\ns6JUSzmxnkfP/eYlFuvWrfOSu/SVBEiABHQRoEDShYuZSYAEok0Aax2sGnXBeh1Ml9OasA4H\n65esSIhA5r8BrBU27bSBUa89e/bYWUTM24bAtOredRsso+sB3VYP+kMCJEACwQhQIAWjwmMk\nQAKuIYD1DlYJC3T6jxw5orluhw8ftkwgaS7UJRkR7OTEiRMu8cabbhw8eNCbjmvwGlEamUiA\nBEggVglQIMVqy7JeJBAjBKwSRz4ceuzFcycQkfH0sPLx5d//CFi9Nuw/y3xFAiRAAiRgJwEK\nJDvp0jYJkIBpAjlz5lRhrE0bum4A0+UQ8llrypw5c9yKBEwNy5Ahg1ZUzBeEAMKlM5EACZAA\nCXiPAAWS99qMHpNAXBEoXbq0YO2QFQlT7O655x7NppDXqkAFCNLgpYQRpAIFCnjJZdf5mjJl\nypidopkiRQrX8aZDJEACJGAVAQokq0jSDgmQgC0EHn74Ycs2QcUmzxBcWlO2bNnkjjvu0Jo9\nbD6Is0KFCoXN46aT2NwUHXwmcwTy589vzoBLr7777rtd6hndIgESIAHzBCiQzDOkBRIgARsJ\nYJpbzZo1BUEDzCSM4LRt21b3dL2OHTuaLhujMRBabdq0sWw0zMciadKkgn9WJozYPfnkk1aa\njFtbTz/9dEzW/bXXXovJerFSJEACJAAC1v6qkikJkAAJ2EDglVdeEbMBEzB69Oyzz+r27vHH\nHxeMApgJ9w2BNHjwYGnQoIEkT55ctw+RLoB9KxN8bNKkiZUm49YWBJId09FSpUrlGNOMGTNK\nkSJFHCufBZMACZCA3QQokOwmTPskQAKmCeTNm1dGjRplWKRgo9mpU6camjKG0ZkpU6YYFjYY\n+erZs6dUqFBBlT9o0CDLNr7FqFinTp2kS5cuYtUaJ7AaPny4ONkBN33DuMyA1aMtmTJlkvHj\nxxv+PJjF88knn5g1wetJgARIwNUEKJBc3Tx0jgRIwEegfv360r9/f12dQogbCIdJkybpWnvk\nK9P3N1++fDJjxgxJmzatLnGDUadWrVpJ165dfabUKFLDhg1NCxrUC+upevXqJd27d5cyZcpY\nYhOcmzdvnuAvX5gn0KhRI3n00UfNG7puAffUsmXLBCObLVu2NN3mep1q3769FC9eXO9lzE8C\nJEACniJAgeSp5qKzJBDfBJ555hn58MMPJXv27BE7hhgJwTSgRYsWCQI9mE2lSpWS5cuXS9my\nZVUnNdy6H6zhSZcunYwePVpeffXVG4oeNmyYVKxY0fDaJoij22+/Xd577z3lCzrNeF2wYMGI\nXG5w5t8DsHnvvfeq0aNQeXjcOAGM+JQoUcK4getXYirltGnTJE+ePMoO7q0HH3zQ8H2k15n7\n779fPaTQex3zkwAJkIDXCFAgea3F6C8JxDmBKlWqyIYNG2TIkCFSrly5GwIUoKNfvXp1GTdu\nnBI0RYsWtYwY9rWZM2eOYIoRRgQCo7yhA3vXXXfJSy+9JN9995088cQTQcvGtLsPPvhAIPgg\ntPSsb0JeCL4FCxYoEeYrAKNbX3zxhdSoUUOXPZSPf61bt5aPPvooap1tn9/x9Hfx4sWC0UMj\nCeuYVqxYIQ888EDC5bgXJk+erKZZ4t7Tcx8lGNH4AgFOpk+frjE3s5EACZCAtwkkub7w+Zq3\nq6DP+xMnTgg2QDSTsNgbO6RfunTJjBnXXIsoYXjafuTIEdf4ZMYRdD7RRqdPnzZjxjXXoi5p\n0qSRU6dOyZ9//mm7X5cvX1ajERgt2bdvn1y8eFHdHwh5jX2B0JH2hb7eu3evrF69WrZv3y6/\n//67+lzgfsL5++67L+SeQ1mzZpVjx45ZUhcwOXjwoPITIgEiBvezkQSfvvrqK/nxxx9V3WEb\nC9IRnrt8+fLqH2z/8ccfgrVEK1eulOPHjwtCeENkYN0OBFm3bt2kUqVKmlxYv369DBgwQJWJ\nezfYvks4fvXqVcmdO7f069dPatWqFdb2woULlX/gAr+CfedBSOI4BB1GIrBGypfAEXUPdr+h\nvqtWrZItW7bcwAiCFXZ8jLA+CmL2/Pnzyn904lEXjID06NFD6tWr5yvS8r9LlixR0yJ37Ngh\n586dU0E+8DnCqCKmEdapU8fyMrUaxBQ53CMnT56MeAmYwdf//e9/CaODaDsIprNnzyZcD0GO\nKajff/+9yhes7dAuuI/ws6/1px8joR9//HHIz3KCAzpfoO74rG3dulV9fnHf47sOI6MYpcX3\nB+4VryR8J+C7EPx3796tPjsYSUZ9MPqM0bfABypeqRvuN6x7Qx3xWY5Gwr2qZ1PvaPjEMuKL\nAAWSgfamQDIALYqX4EeVAkk/cAjkDh06CDrskRI6mhkyZJD9+/er4AXojPl3uBAFDR0eCKHn\nn39erWnBD54vWSmQfDbN/EVnH9Pe0MFBpwa+oyPpS+gg4D3O4Sk9OtyREuqLtUH+64/CXQNR\nhumAa9euVcIDD2BQXs6cOdXUN4wMQaShw6wloT0gTr788kvVphCwaCd0rBH0AlP8ED492HqS\nYAIJHdnXX39ddWrBA6IQD4p8yccIf3E8WAfdl9f/b7NmzeSNN97wP2TqNSIeIiBHMFHobxjt\ng7KHDh2qRKT/ObtfQxwgfDzut0gJbQHh07Rp04SsYBwokHwnf/75Z4FAXrNmjey9/gADDziQ\nHw8OcP9g9BEPjzACiwcg4RKmsmI0FNEXtd534ezh3E8//aTuIzyAwXd1qPsI9z5GWJ977jm1\n9i+SXafO4yEEAsjMnj1bMcL3BOrkS7jP8JACCWvRIIxz5MjhO+2Jv7h/KJA80VR00kICFEgG\nYFIgGYAWxUsokPTDxjQdK0JpBysZ7YERA0wp822a6RaBhI48Rk9Qfwgf/45NsLoYOYaOxbff\nfhsx1DOEKUYJ8Nd/dBqdE2zKiSlO0Rr18BdI6PBhtGzChAm2MUJnGAIR361G065du6R27dq6\nn3Djqf68efOkWLFiYYu+cOGCmtY4f/582bx5sxLJ6PiifStXrqymXGI9kK8zHMoYpqlh9Mz/\ngUKovP7Hfevp8PAhnEDyvybwNYQR7iMIZ39xG5jP/z06+BgVheiEYDKaUF8IbNzjsBlJwKIc\nXz0nTpyoeUTWqH9GrsPIGgQkxGOwkd9Am6gP8iJKpNGploE2o/EeflMgRYM0y3ATAQokA61B\ngWQAWhQvoUDSBxsjHDNnztR3kc7c6DTiiTc6WZg64waBhOkiiAKGqUlaOjc6q5woO8TX119/\nLfny5Ut0HG/wFB+bsqKDHymBGyLyIWKdncknkDCtE/v4QODZzQj1wchHyZIldVdt6dKlyk//\nUT89RtBpHTt2bNApf+jYQ9xjpAmjYsFGxtC+uMcxBRIhvTGdKlh6+eWX1fTVYOe0HMNvD6Z1\n4kFDqBGkUHZwf2EEA6NXWsSJvx0IGowaY+2dkUATEPwQZvgM6C0bfoAv+Ltl82LcE2hL3BdG\nHqqgPhgdw8igFxIFkhdaiT5aTYBBGqwmSnsk4CECmFZmtzgCDnRc8QQe4aOxJsTpBH/QQYmG\nOEJd8bQeneZAkYGOPaa6aRFHsIM1UnXr1lUjXnhvZ0InsF27dlETR6gL1lZhDZyehPup1fVQ\n6kbFEcpCXTHlDetH/BOmp7Vp00at+8K0ymDiCPnRvuj479mzR03be+utt/zNqNfvvPOOKXEE\nIxD11apVu+E+uqGwgAMQRZgmh/vHiECBCMDoEwQWppTpTZ07d1ZT/oyUjbLAt0+fPioIid6y\n7cg/YsQIFU3TiDjy1QdRJ4PdJ3b4S5skQAL6CVAg6WfGK0ggJgjgSfSYMWOiWhcIBKylQEfP\nyYSpPpjKFihY7PQJnSmMnvkSxBlGsIx07BGowW5hi2lAWMcSTUZgg6ARWhOYYlodBI7ZBBvY\nW8gn0NAuCEiCyHF6Ova4DmtS/Du/aOvBgwebdVFdD6GGtWNaE+oFAQmBY+Re8y8HghHrtvTw\nwMgcHgSYvY8gkiBif/31V3+Xov4aa/owTVAPg2BO4nqsvcP9xUQCJOA+AhRI7msTekQCUSGA\ngAzRTuisYdqWVZ1FI/7/9ttvajqV2Q6bkbIPHTqkQiWjbERSM5Ow2PvAgQNmTIS8FlG43nzz\nTdOdwJAFhDmBTrjWoA1Yy4P8ViW0CzrhSPDBqIj2dX6/uh6lDQmjlVYmBBXBWigtadasWSri\noNkOPcqCIEVgFqzZ05IQGARC24qyUR6+P7AxslMJ4rlnz56a129F8hOCFfewE99FkXzjeRKI\ndwIUSPF+B7D+cUkAe/n4hwiOJgR0BjBy5VT52LwVawCcShj9eeGFF0x3itBZbN++vS3VgDhw\nkhHaKFJC5xL3sdUJexVBIL799tum2gj+YQE/QnofPXrUajdVxzqSUdwjEChGp4IFs4/PL9pH\nS6ce0wqtin4HX1APjMZt3LgxmGu2H8OordVhrjGy9+mnn9ruOwsgARLQR4ACSR8v5iaBmCCA\nKSJOJixox6am0U5YLI6IZVY90TbiP9Zi4am+FemHH37QtJeOnrKwzgYdQS0dYD129eTFdKpI\n67KwhsPslLFgPkFUIDS9FR17jBgiSqIdCaMzkfYS27Rpky3iDKN2mKIbLqEN7biP8N2BYBFO\npGnTpln+ucDnDHaZSIAE3EWAAsld7UFvSCAqBCJ1Pu12AlNV8GQ92gkdRjs61XrrgU64VWnc\nuHFWmVJ2EKjAyhEHo84h7Hy4BKFrV4LwtEJEQyQgcINd6aOPPgprGhv62jESiM9QpLUzCNvu\nH64+rKM6TuLedOK7AyPe2MPJjoQ9xvDghIkESMA9BCiQ3NMW9IQEokLAisXaVjiKTkG0EzbR\nRMjiWEq+dS5W1Wn79u1qA0+r7Bm1s23btrCX2inyIWysSBASdgrySFPNIHbtGAkEH4jIcAn3\nEfa3siOdOHHC8qlukfz85ZdfbBGbvnKdDj7h84N/SYAE/p8ABRLvBBKIMwJu+SGGUIt2wloQ\nK0YGou13uPKsXt9y/PhxV4wgRXqiHul8OGaxcg5tFS4dPnw43GlT5yJN74NvdorDSOWbqlyQ\ni1Ef7LFnR8I+Q9Gujx31oE0SiCUCFEix1JqsCwloIOAWgWBn5ykUBjz5tnJ6W6hyonncao5u\nYRSpnSKdj2YbOFVWpLaPdN6M35Fs230fwX40E6b2WbEuLZTP0a5PKD94nARI4P8JUCDxTiCB\nOCOQJ08eV9Q4derUUfcjQ4YMtj0Fjnpl/i0QdbIypU+f3hXTECNNz8JT93hPadOmDYvA6nvD\nv7B06dL5v73hNe4jBFSwK9lZt2A+ozy7RAwcozRfAAA7o0lEQVTEV7TrE6yOPEYCJPAfAfu+\nvf4rg69IgARcRCBv3ryu8KZgwYJR96NQoUJRL9PuAkuWLGlpEWgXN4zORLpPc+fObWm9vWis\naNGiYd3Gprt2BGlAoZHKxn1kl6BImTKlZMmSJWzdrT6J+tixngt+QiA58X1oNSPaI4FYIkCB\nFEutybqQgEYCWbNm1ZjTnmzJkyeXBx54wB7jYayWL19eEMY6ltJzzz1naXXKlStnW0dQj6Nd\nunQJm71q1aphz5s5CXFmxegHRsEyZcpkxpWw1zZp0iTs+fvuu88WgYR63X///WHLLlOmjG1r\nkCpUqBC2bDtO5sqVS7Jly2aHaYHtaAs+WypCoyQQQwQokGKoMVkVEtBKoGHDhlqz2pIPIuWx\nxx6zxXY4o+isQiRZ0fkNV064c3iib9WoD+pTrFixcMXpPoepPlWqVLF1vYUWp2rVqhU2W+fO\nncOeN3Py5ZdfNnN5wrWImPj0008nvLfyRapUqaREiRJhTeIhhB0jSBjxqFmzZtiy4d+DDz5o\nefmYWunU91ejRo3E6qmdEJuRhG5Y0DxJAiRgCwEKJFuw0igJuJtAr169LO+4aK0xIkGh85sv\nXz6tl1iaD5uAOpkaN24s48ePt8SF0aNHW2In0EjPnj0dFUiVKlUKdOmG9xCH99xzzw3HzR4o\nUqSI1K5dW3XuzUQtQ0can7Pu3btb3qlGHTt16hSxqhipbdu2raXhtlEv3MMZM2aMWD5EbKRg\nDhGNBGRAuWgfJ1Lr1q0trw+ms7Zq1cqJ6rBMEiCBMAQokMLA4SkSiFUC6OR07drVseq9+eab\njpWNqVmVK1d2JFgDRhTeeOMNQaCMvn37mmLwxBNPqE68KSMhLgajatWq2dKxD1FkosMzZ85M\n9D7UmwkTJlgu5CZOnKiKe+utt9T0OCMjMPh8YRrYM888o2z169cvVBUMHUdwhkgb6foMQ0hZ\nGRAF93Dv3r195sP+xTQ7iBnwsCKhLYYMGeJYEBFMscMDFqvqAzt4GGHnNEwruNMGCcQjAQqk\neGx11pkErhPo0aOHLU/gw8FFBwejHk4vSB47dqzqlER7qt38+fMT8HTs2FGefPLJhPd6XlSs\nWFHefvttPZfozjtu3DjJnDlz1Kcjfvjhh5p9xdqN119/XXP+SBkhOnz3JkYqINTAQM9IEjq9\nmEI5adKkBHZt2rSJuGYnkm++8wg1vXDhQt/biH8hjqZNm2aJqMDnZfLkyYpJxIL/zTBy5EjJ\nkSOH6RFrcMV0xUhT+7T6ZTQfHixB+JkVSbgea8Q6dOhg1BVeRwIkYCMBCiQb4dI0CbidwNy5\nc1XnJRp+QhxBlNWrVy8axYUtA53f6dOnS5o0aSzpOIYt7N+Tr732mtx9992JsqJzP2zYMM2d\nR3SO0aGaNWtWIjt2vEGYZjBCOGc9AsGMLxjtwLoVPalFixbSyoIpSlhf8uyzzyYqGmJp+fLl\nasQR4iCcoAYj3OPoxM+ePfuGURuwzJ8/fyL7Rt5geuYdd9yh61JMRcRDAfhnNOFa3MNYn6Yn\nQaCh7ljbZvQ+wnUY1ezfv7+eom3JCw7vvfeeakujIgnXIaImRkDD3VO2VIBGSYAENBGgQNKE\niZlIIDYJYLrMxo0bVeACu2qIzg3KGTNmjKPT+gLrV7hwYdX5vf32200/DQ607f8eouaDDz6Q\nli1b+h9OeP3UU0/Jzp071cJzhC8OltCheuihh2Tr1q1iVQCBYOUEHvMJBPw12hkMtBnq/ahR\no6RPnz6hToc9PnToUBk4cGDYPOFOYsoYptQFSxDTGNWaM2eOWjuXIkUKlQ0dZV/nFlOkmjdv\nLmvXrlWdeNzvwRLOV69ePdipiMfwOZo3b57UqVMnYt5gGR599FEl3PBQQE9bIi/qPHXqVMMj\nnogKuGLFChUaXE/ZPlEK4fr++++bEnjBmBg9himOCxYsUGI+VFuHso38NWrUEIwmWzn1MVR5\nPE4CJGCMQJLrCwSvGbvUm1edOHFC/vrrL1PO40sN+ztcunTJlB23XIwpJPjSPnLkiFtcMuUH\nOhJoo9OnT5uy45aLURd0ak6dOmVriGp0gF599VW5fPmypqqj44/OTqiw2YjOhHPoEA4YMEAK\nFCiQYBdhxo8dO5bw3skX2NsET+Uh4PDdgH/BvhZxX+n97oD4wigdOtlaEz6H6EjjuwqjN4i6\nZ8XIg9bykQ8dQLSdr21Rb6zNgYgALysZYWQBnWcrQij/8ssvgoX0e/fu1VRd7KWEqXCRosH5\njO3evVvWrFkj3333nfq+hEhC5x9thMAS+C7VkjACCDF44cIFLdnVCBb4+zaG9YmWs2fParre\nP9PJkyfVSBBGdXBP+9rYPw9e4/OLtoawwtTDnDlzBmbR/R7R7zD6gml3+J4Jdx/hNxYjZYMH\nD1bruXQXFqULPvvsM+Xj8ePH1fdGsL2fcJ/g+xL3ONaj1a1bN0reWVMM7jc8BPjjjz/k/Pnz\n1hiNYAV9EoY+jwCJp20lQIFkAC8FkgFoUbyEAskcbKy7wNNadDb9O0/4kc+ePbsayUB0LoiI\nL774QpYuXSo//vijnDlzRkV4wucDIw6YKoWOgL8w8nnmJoHk8+nixYuyaNEi+fLLL+X7779X\nAgUdOozqoBOMfV9QH3SmEWQCo0K+TpHPBv4ichjWKKAT6NXNTAMFkq9+YLR48WLFaPPmzQmM\nMMLgzwhTCTEqAyEQ7EESRgYgHjHFCFHjrE7btm1TbbR+/Xo5d+5cguBFJxUPG7DXU7du3TSt\nwcN9DpELcfjrr7+q9kXH3tcRxvcN6gMxgeAfWHSP9g+XcP3HH38sw4cPD/sgB/5i5BBiCiOe\nvmRGIPls4AEF6rVs2TL5+eefBWILdUXboywE6UAofjvuYYgjfM7wb9OmTeo+AhPcR7fddpvi\niJGy0qVL+9x19V/cC6tWrVLfH+vWrZPDhw+r+wEiE+uv7r33XjX6iO8Q36ijqysU4BwFUgAQ\nvo0LAhRIBpqZAskAtCheQoEURdgGi3KjQDJYFTX6iiedEA9GnugbLdfO60IJJJQJgYSF+hBI\n6OiiU41OH54wY+oQhAc6hRgJg6hAJxhCEuGe0eFHpxFrYjDSE61wzWgflK131BJ1wJoiCC6f\nIArHHQ8RUE/s04P1ZahrYNqxY4e0ur5m6tChQ5pGJPF9hrIRMvuFF15Q9bBCIAX65eR7iFb8\nrloxw8PJeviXHUvfcRRI/i3L1/FCIPhE6XipPetJAiRAAiSgicA333yjghigExuYIAoggrBW\nB/8gSPA+MEFMQVThKTv+QVQhGp/ehf+Bdu14v2XLFmnWrJmaUqRFHMEHX77PP/9cfvrpJzVK\n5D/tDqM12JcIoyVa9wdCXqR33nlHrUHDVDt0WJlIgARIgATsI8AgDfaxpWUSIAESiAkCCM3e\noEED9YRfS4WCiaNg12E9TNOmTWXEiBHBTjt2bN++faq+WMeIaZZ6E6bbYYoqNlSFIETCVDKM\nmmHaqlZx5F8uhBLWprVv3z5hyqD/eb4mARIgARKwjgAFknUsaYkESIAEYo4ARi6s3GsoGCBE\nsMM/NyQIGog2n7Ax6hOE1W+//Sbdu3dXo2nY88qI2PIvH8Jr9erVrhOU/j7yNQmQAAnEAgEK\npFhoRdaBBEiABGwggGhtiCIWjYRRJARVcDpBEGJ9kG+6nBl/IGgQmhubAgcLVmHENkaSECRk\n165dRi7nNSRAAiRAAhoIUCBpgMQsJEACJBCPBJ577rmoVjva5QVWDmG3saEqhI1VCdPpEBrc\nSpsIBmH3qJ5V9acdEiABEvAiAQokL7YafSYBEiABmwlg9OjgwYM2l5LY/NGjR5WYSHw0eu8Q\n5t2KkSO7PYbYmj17toqcaHdZtE8CJEAC8UiAAikeW511JgESIIEIBBBdzomEKG1OpSVLlmgK\nve2Uf/7lIiLgt99+63+Ir0mABEiABCwiQIFkEUiaIQESIIFYIoCw3k4kJzv9CO0N4eGFhGl2\n27dv94Kr9JEESIAEPEeAAslzTUaHSYAESMB+Ak5teot1QE4lhB33SsI0O70b33qlbvSTBEiA\nBJwmQIHkdAuwfBIgARJwIQGnRlKM7BFkFT6zYbit8kOLHXDybSKrJT/zkAAJkAAJaCdAgaSd\nFXOSAAmQQNwQSJYsmSN1vfXWWx0pF4WmTp3asbL1FgxO6dKl03sZ85MACZAACWggQIGkARKz\nkAAJkEC8EShYsKAjVc6XL58j5aLQ22+/3bGy9RacNGlScaqN9PrK/CRAAiTgNQIUSF5rMfpL\nAiRAAlEg0Lx58yiUcmMRDRo0uPFglI488MAD4tTImd4qXr58WcqXL6/3MuYnARIgARLQQIAC\nSQMkZiEBEiCBeCPQsmVLQaS0aCaMirRu3TqaRSYq69FHH5U///wz0TG3vilevLjkzp3bre7R\nLxIgARLwNAEKJE83H50nARIgAXsI3HzzzdKlSxd7jIew2q5dO0mePHmIs/YfxhS7KlWqyC23\n3GJZYbCVPn16SZIkiWU20TYvvPCCZfZoiARIgARIIDEBCqTEPPiOBEiABEjgXwK9evWSQoUK\nRYUH1h698sorUSkrXCEDBw4UKyPpZcyYUUaNGiUYHbMiQRxh9Ojxxx+3whxtkAAJkAAJBCFg\nzTd2EMM8RAIkQAIk4H0CX375pWTLls3WimTKlEmWLVtmaxlajUMQvv7665ZML8To0dSpU6VG\njRry7LPPWjIylSpVKmXTyhEprWyYjwRIgATihQAFUry0NOtJAiRAAgYIYMrbd999J5UrVzZw\ndeRL7r33XtmyZYukTJkycuYo5WjWrJlguh9Ga4wmrN969913pUSJEspEnz59pHr16oZFEuyl\nSJFCPvroI8mZM6dRt3gdCZAACZCABgIUSBogMQsJkAAJxDMBTA+bMWOGLFq0SO64446Q62kg\npho2bCi7du2Spk2bqg59MG4Y/ShcuLDMmzdP5syZY9n0s2BlGT3Wr18/GTJkiBpJ0iOUsD9R\n2rRpZfbs2VKrVq2E4lHnSZMmqZEk8NQz5Q42MYq3ePFiKVWqVIJNviABEiABErCHQJLru6Vf\ns8e0O62eOHHC9O7j2Ezwn3/+kUuXLrmzkjq9ypw5s3pSeuTIEZ1XujM7prWgjU6fPu1OB3V6\nhbqkSZNGTp065ZkIW5GqmDVrVjl27FikbK4+v2/fPvn2229l79698vfffyvRgPUmGDFAJ9bJ\nDU/NgkMHH9HcgkV0++uvv9SIEoTNr7/+Kgg3jXpXqlRJ6tSpI3nz5k0o/sCBA/LFF1/I119/\nLSdPnlRMihQpotbPlC1bNmqMsmTJotrHyD23bds26du3r6ozRnFQ/2AJ4cFxDmuDXnrpJUHd\nt27dKocPH5YrV66o76QCBQpIuXLl5ODBg8rm7t27lSn8ngRLsIn1UE8//bT07NkzYSNb3FsY\nTTp79mywyzQfO3funKxfv15++eUX1T7oDqAtIV4rVKigXms29m9G/MbCJu4NfAdDCIJ/sWLF\nVFhyTBEMTPh+w/ecFb/Pgbadeh8L33E+drjfMA32jz/+kPPnz/sO2/oXDyVw3zCRgFMEjM8f\ncMpjlksCJEACDhFAZxXC4O2335adO3eqiGvo3EIgoSMIcY5OMjq2jRs3lk6dOkmOHDkc8tba\nYtHRHzt2rEyfPl0JJ19dwQSdmQ0bNqgRF0SCw7Q5iEd0kjGq5M9o+/btajQKna5GjRopRrly\n5bLWWQut3XXXXTJ37lwldj799FNZuXKl7L0uin1CCVMDIfqwzuj+++8X5EEkPAjHQEYQWDgO\nRh07dlRhujGKtnr1avn9998VJ7gOgXrnnXdKzZo1leBC59TKhCmNI0eOlBUrVqgRMoxuoT4Q\nSGgX/MV7iN5u3bopsRSp/FWrVslbb72l7gPc/z4bsA0OuE9w7JFHHlE2ixYtGskkz5MACZCA\nYwQ4gmQAPUeQDECL4iX4MeYIUhSBGyjKi09X8bQfe/TgLwRRpISOJtKAAQOkVatW6rVX/gsc\nQUKggf79+yv3MRpiVfJ1xhG9rk2bNlaZvcGOmREknzG0OThgqiGmEIIDOv8Yybnnnnskf/78\n6hxEgBZG+J7KkyePtG/fXq3B+v7779UoMZjkux7Rr1q1akogIU9gQh4jI0gYEcToFuoAsRbp\nPkYeCBtMFYT4CTb6c+bMGenQoYMSeag7/oVLqDfKxagYPhsQ1xxBCkfM+XO43ziC5Hw70IPo\nEqBAMsCbAskAtCheQoEURdgGi/KaQMITfogjdDBDTYcKhQIdwPr168uIESNMLfoPZd+O4z6B\ndOHCBXnxxRdl1qxZETvTZvwAo8cee0yNauDza3UyK5AgDjDiEklQGPUbo48QIv4JI2+438AF\nU/z8R9mMCKTjx49L8+bN1aieFgHn7wvKQ/kYPfQXbBCKTZo0UVPjjNjEdFSIzttuu41T7PyB\nu+w1BZLLGoTuRIUAgzREBTMLIQES8CoBPNlv0aKFXLx4Ubc4Qp3Rqf7ss888ubFn79691ZRC\nu4SB756A/fnz50uPHj18h1zxF35h6tzw4cNtE0eoaKA4wjFMxcNozIIFC6Rq1aqydu1aHDaU\ncO82aNBAduzYoWl0K7AQiJ/9+/dLvXr1BCNGSFjPhfVWWLuqVxzhelyDqX6IGGjkethgIgES\nIAG7CFAg2UWWdkmABDxPAE/dIY70jhoFVhwdQEQ1mzZtWuAp177Hk/2ZM2dGrfMKRp9//rlM\nnjzZNUywpujHH3901B+sBcJIHkZq1qxZY8iXzp07C4KK+NZNGTGCzwCCKGBqHOxgNApBHoKJ\nO632Yefnn3+Wrl27ar2E+UiABEggKgQokKKCmYWQAAl4kQDWSKBzGmldhZa6YTQC63iOHj2q\nJbujeeAj9u2xe+QosJIob+DAgXLo0KHAU1F/j41dEYzBLQkCBeIEwRz0pCVLlgg2+7VilAaC\nBntidenSRQUpMSO4fHWAXx9++KFaw+Q7xr8kQAIk4DQBCiSnW4DlkwAJuJIAOscY0bCiY+mr\nIIQWIsG5PY0ePdrUyICZ+iHwAaIEOpn27Nmj9mhy0odgZeNeHDx4cLBTIY+99tprlgh8XwEQ\nsYi8Z+XnAmuwIMiZSIAESMAtBCiQ3NIS9IMESMBVBLAg3eqAAehUwm60R2b0gMVIxZQpUyzt\nAOspH4yiObUvmG/Yc8iNCSM2ECdaR7awhxNCrVsxAurPw2p7uOewxgrTAJlIgARIwA0EKJDc\n0Ar0gQRIwHUEFi5caItIwAbTP/zwg+vq63MIC+exIaSTCdHbNm/e7JgLGzdudKzsSAUjohju\nTS0J+xwhvxcSwpYvX77cC67SRxIggTggQIEUB43MKpIACegjgBEe7HdkR0KHFU/23ZrgGzb6\ndDJh5M6p4AjYANjNI3wQj0uXLtXUPIjAiPxeSIja5+YHB15gSB9JgASsI3Czdaa8YQlznbHn\nhpkEG5hiYNaOGR/suDZW6oPNDbGOIVbqg/sNCfWKlTqhPm6uC6J1mYnOhfqFSuh8IwiCW+sP\n3zDlycmEqWQII20VI3wfaP1OcEqY6eGNNVJafssOHDigx6yjefGbilDiVrW5o5X5t/BYqQt+\ne5C03HP/Vt30H9/vnmlDNEACBgmYUwoGC3XyMjy9NfulhevxZe6VqQuRePu+/LCbeSwkX0co\nVurjax9MQXH6yb5V9wd+/NzcPqdOnbKqqjfYgfDCPerW+sM3u8ThDTBCHPCVbxUj1Ekrc6fF\nYQgkiQ5DZON3KBIfL9TFv2KoV6Q6+ed382u3f8fpYYfPDhL6PNESLm4exdXDjnm9SyDuBBKG\n8c2GJk2dOrV6woq1BLGQMmfOrH5sT58+HQvVUQvr0UaxUh/UBVOOsC7EK9NlIt1IWbNmdXX7\nWL0I3Z8HOrboaLj1/sS9BlHuZAcFPuBhgFWMsmTJogSSFnvp06f3by5Xvk6XLp1aH3f27Nmw\n/uG7w0sJ9dLSRl6ok9u/4/QwxPcVPo/oP50/f17PpYbz4nvSa/ev4cryQlcS4BokVzYLnSIB\nEnCSADpqdv44FyhQwMnqhS379ttvV2IibCabT+IptVOMKlasaHPtzJmHeC1durQmI8WKFYva\nE39NDoXJBFF8xx13hMnBUyRAAiQQPQIUSNFjzZJIgAQ8RKBChQq2eItRwHLlytli2wqj8A1P\nip1MKN8pRilTphSMOLk1QTzWqlVLk3u4hyE8vJAwjcuuz5wX6k8fSYAE3EWAAsld7UFvSIAE\nXELgiSeesGWdYfHixSV79uwuqeWNbmBqUKlSpW48EcUjRYsWldy5c0exxMRFtWrVKvEBF73D\nGp0HHnhAk0fVq1d3fD2ZJkevZ4KQu//++7VmZz4SIAESsJUABZKteGmcBEjAqwRq164tadOm\ntdR9TI/q3LmzpTbtMNajRw+1DskO25FsYu2B04y6desmqVKliuRq1M9DRLz88suag7VATDVt\n2tRSoQ8fMmXKZDrYkT88rG/p0qWL5nr5X8vXJEACJGAHAQokO6jSJgmQgOcJoCM4YMAAyzqC\n6PjfeeedAuHl9lS3bl25++67Lau71vpCQBYpUkQee+wxrZfYlu/DDz+0zbYRw1goj5Gjxo0b\n67q8Z8+elopdBDB56623LB2ZwrTGF198UVe9mJkESIAE7CRAgWQnXdomARLwNAFMs3v88cdN\nP4HH+gp0AidNmuR4AAQtDQJ/p0yZonzWkt+qPAhlP3nyZFcwKl++vAwbNsyqqpmyA3FUokQJ\neeedd3SzQZTS8ePHWyKSIGBHjhwp1apVk4EDB1oioGHz448/FgRGYSIBEiABtxCgQHJLS9AP\nEiABVxIYMWKEGk1BJ9VIwqJ6jEZNmzbN0XU1en3PlSuXfPDBB0oc2r33CeyDLxjddtttel21\nLf9TTz0lM2bMMC2QjToI8QCximlyn376qWHBirVI/fr1MyWSMALaoUMHadCggapO69atpVmz\nZqZEEuo3fPhwqVSpklFEvI4ESIAEbCFAgWQLVholARKIFQLouM+ePVvq1aunuzOIa/EEf9Gi\nRY5FZTPTDmXLlpXFixerqG5GBWKk8mE3Y8aM8sUXX7gyilnlypVl9+7d8uSTT0ry5MlDVgdC\nBh1+PQnC0LfWCSIa9rEeB8fxumbNmrJixQp57bXXdN97gX60a9dO3n77bSXWIXa0JtQJ/4YO\nHSovvfRSosswwoZj8Bf115pQV9TzvffeU+JP63XMRwIkQALRIpDk+nzia9EqzA3lnDhxghvF\nBjSEb6PYI0eOBJzx5lv8+GIPm1jZcBB1wWLrU6dOxdRGsceOHfPcDTZ37lzp37+/nDlzRn2P\nhPr6ROcPG1LjyX/fvn3FC5uP+jcGglMgHLlvY2LUF530jz76SHWwfcf9r8FrdJLRWQYXvL56\n9ap6HZgP732MmjRpIn369FEiKVg+K475Noq14p775ZdflOA9ePCgEg7YN6p+/fqKCwQD1i5B\nUFy5ciWk6xCFYIx7CdfC1vbt29V3Fs7lyZMn7Kgl8mA6YqSNYoM5sHPnTundu7ds2LBB+Rlq\n43SIKLQjoi6iXpjiFyp9++23yiZsI/3zzz9Bs+K7GRsQV61aVYYMGSL58uVT+fD9hu+5UL/P\nuP82bdqkhCpeo/6IBIk1ffiHe85tCdEgrbjf3FAv8EZgDmxWHs2NYt0cbt8N7UIf7CVAgWSA\nL77I8QNw6dIlA1e77xIKJPe1ib9HFEj+NJx/jQ4eRlUw5Wn9+vVKLPm8QgewcOHCUqdOHTUV\nCdPUvJgCBZKvDocOHZJZs2bJggULZMeOHYkeNkEEYh8brNnClK6VK1cqRuvWrUv0sAKMChUq\nlMAoGuG8rRRIPhbB/kKwjB49Wk0VvHjxYrAs6lj+/PmVoMB9omfkxWfQjEDy2di6davMnDlT\nli1bpgQaxCwS/MmRI4c8+OCD6h7Wsx/V2rVr1WjrqlWr5OjRowniGAImb9688vDDD0ujRo0E\nYdz9UyiBhHsIo174nOG+gR389sJHiFDsl4W1S82bN5f27dur0Vp/u06+pkAyRx8CnQLJHENe\nbY4ABZIBfhRIBqBF8RL8kKKNOIIUReg6i4qlzgNGCtBhhXBCp81Ih1cnPtuzhxJI/gVjdAFP\n81F/dHARhCJUgljAk2d8NjNkyBB1RtEQSPPmzZNevXqpUbdwo0c+RrhXMDozYcIE3WvTrBBI\nPj/wF/cu2hJtCsEB+2YTRhkhGFFP2Aw3rS9QIB0/flytd4K4hk/4Fy7BX4inQYMGKbEULm+0\nzsXSdxz4cgQpWncOy3ELAe0Tkd3iMf0gARIgARcRgDBABxwiwMiUJxdVRZcrEIIQO1oSGIUT\nUFpsuDUPOu+YgoYIc6GmlgXzHXl//PFHFREOwSkQNc+pBPGCmQRWJkyhhEjQm7Zt26ampp47\nd05zKHGfIMV6qC1btqj1UuEEmV6fmJ8ESCD+CLhv4m78tQFrTAIkQAIk4FECWJs1btw4XeLI\nV1WIJIysYdoZxFK8JwTDQDAUjP6HWhsVjhFGwjBt8IUXXgiXjedIgARIICIBCqSIiJiBBEiA\nBEiABG4kgGl17777rqHOvL81CCWEzD558qT/4bh6jQAADRs2VFMUfeuhjADAaBKiTk65vo8X\nEwmQAAkYJUCBZJQcryMBEiABEohbAliz07NnT0MjR4HQIAgwkvTqq68Gnoqb96g7AjvomaYY\nCg5GkhAhEEFFmEiABEjACAEKJCPUeA0JkAAJkEBcE5g0aZLpkSN/gBj5mDNnjuzdu9f/cFy8\nRlAGRP8LFT7eCASskRszZoyRS3kNCZAACQgFEm8CEiABEiABEtBBAIEZpk6dammHHsUjyt8n\nn3yiw5PYyDpjxgwV7c7K2kBwYj2SlaLLSv9oiwRIwN0EKJDc3T70jgRIgARIwGUEfv75Z7Vx\ns9VuoVOPPabiLWEDZuxpZHXCVLuNGzdabZb2SIAE4oAABVIcNDKrSAIkQAIkYB0BbLKaPHly\n6wz6WdqzZ4/aW8rvUMy/BE87EkJ922XbDn9pkwRIwD0EKJDc0xb0hARIgARIwAMEsPjfimAC\nwaqK6XvHjh0Ldiomj2H/MPyzI2F6HQM12EGWNkkg9glQIMV+G7OGJEACJEACFhLAVDgIGbtS\nPK2bsbOuaCM77dvV/rRLAiTgPAEKJOfbgB6QAAmQAAl4iEDq1KklaVL7fj7TpEnjIRrmXE2V\nKpU5A2GuvummmySeWIZBwVMkQAI6Cdj3Da/TEWYnARIgARIgAS8QKFCggG1u3nrrrZI1a1bb\n7LvNMOqbJUsWW9xCVEA728oWp2mUBEjAFQQokFzRDHSCBEiABEjAKwTKlClj29StUqVKeQWD\nZX5WrlzZlhE5TK8rW7asZX7SEAmQQPwQoECKn7ZmTUmABEiABCwggBGe4sWLW2ApsYlkyZLJ\nE088kfhgHLyrX7++IOKc1SlXrlxSpEgRq83SHgmQQBwQoECKg0ZmFUmABEiABKwl0KlTJ8s3\nN8V0s3gUSLVq1ZLMmTNb2kCYXtexY0dLbdIYCZBA/BCgQIqftmZNSYAESIAELCJQp04dKVq0\nqGUiCR36l156SVKmTGmRh94xg9GjUaNGWTaKhAAa2bNnl6ZNm3oHAj0lARJwFQEKJFc1B50h\nARIgARLwAoEkSZLIxIkTLdkwFiNHWIfTsmVLL1TdFh8bNWokmGoHFmYTBNd7771niS2zvvB6\nEiABbxKgQPJmu9FrEiABEiABhwnkzZtXpk6dqkY+IJiMJAiCfPnyyYQJE8SoDSPluvGakSNH\nSokSJUwJG4T2fvfdd+XOO+90YxXpEwmQgEcIUCB5pKHoJgmQAAmQgPsI3HfffTJv3jxJnz69\n7o49ptVVqlRJFixYEJdT6wJbE2Jx1qxZUrt2bQEbPQn5safS9OnTpWbNmnouZV4SIAESuIEA\nBdINSHiABEiABEiABLQTKFmypHz11VeqY45RoEjTxBCtDpvNDhgwQD744APVsddeWmznBJux\nY8fKiBEjJEOGDBFZQhiBedWqVWXlypVSsWLF2AbE2pEACUSFgPVxNaPiNgshARIgARIgAfcQ\nwGanmNrVo0cP+eSTT2ThwoWyf/9+uXbtWoKTEE533323NGjQQK23iceADAkwIrzAmqS6deuq\n0bnZs2fLpk2b5PLly4muypkzp9SoUUOaN28uxYoVS3SOb0iABEjADAEKJDP0eC0JkAAJkAAJ\n+BEoWLCg9OvXT/1Dh/7o0aNy5coVNWKEyGrxvs7ID1XEl8mTJxcIJfxDAstz586p6XfYi4oC\nMyJCZiABEjBIgALJIDheRgIkQAIkQALhCKCDj0AOTNYQyJYtm+AfEwmQAAnYTYBrkOwmTPsk\nQAIkQAIkQAIkQAIkQAKeIUCB5JmmoqMkQAIkQAIkQAIkQAIkQAJ2E6BAspsw7ZMACZAACZAA\nCZAACZAACXiGAAWSZ5qKjpIACZAACZAACZAACZAACdhNgALJbsK0TwIkQAIkQAIkQAIkQAIk\n4BkCFEieaSo6SgIkQAIkQAIkQAIkQAIkYDcBCiS7CdM+CZAACZAACZAACZAACZCAZwhQIHmm\nqegoCZAACZAACZAACZAACZCA3QQokOwmTPskQAIkQAIkQAIkQAIkQAKeIUCB5JmmoqMkQAIk\nQAIkQAIkQAIkQAJ2E6BAspsw7ZMACZAACZAACZAACZAACXiGAAWSZ5qKjpIACZAACZAACZAA\nCZAACdhNgALJbsK0TwIkQAIkQAIkQAIkQAIk4BkCFEieaSo6SgIkQAIkQAIkQAIkQAIkYDcB\nCiS7CdM+CZAACZAACZAACZAACZCAZwhQIHmmqegoCZAACZAACZAACZAACZCA3QQokOwmTPsk\nQAIkQAIkQAIkQAIkQAKeIUCB5JmmoqMkQAIkQAIkQAIkQAIkQAJ2E7jZ7gJonwRIgARIID4J\n/P3337J06VLZtGmTnDp1SpIlSyYFChSQGjVqSN68eeMTCmtNAiRAAiTgegIUSK5vIjpIAiRA\nAt4isGjRIhk0aJDs3bs3qOMDBgyQ5MmTS926dWXo0KGSMmXKoPl4kARIgARIgAScIMApdk5Q\nZ5kkQAIkEIMEjh07Jvfee6+0adMmpDjyVfvy5csyc+ZMKVy4sIwfP953mH9JgARIgARIwHEC\nFEiONwEdIAESIAHvE1i/fr2UKVNG9u3bp6syV69elVdffVXatm2r6zpmJgESIAESIAG7CFAg\n2UWWdkmABEggTghs3bpV6tevL1hzZDQtWLBAWrRoYfRyXkcCJEACJEAClhGgQLIMJQ2RAAmQ\nQPwROHv2rFpLdO3aNdOVX7Fihbz55pum7dAACZAACZAACZghQIFkhh6vJQESIIE4J9CqVSu5\ncuWKZRRGjhwphw8ftsweDZEACZAACZCAXgIUSHqJMT8JkAAJkIAisGfPHtmwYYOlNDAS9fzz\nz1tqk8ZIgARIgARIQA8BCiQ9tJiXBEiABEgggcDgwYMTXlv5Yu3atYLgDUwkQAIkQAIk4AQB\nCiQnqLNMEiABEogBAqtXr7alFhhFmjt3ri22aZQESIAESIAEIhGgQIpEiOdJgARIgASCErhw\n4ULQ41YcXLZsmRVmaIMESIAESIAEdBOgQNKNjBeQAAmQAAlg/ZGdSe9+Snb6QtskQAIkQALx\nRYACKb7am7UlARIgAUsInDlzxhI7oYxcvnw51CkeJwESIAESIAFbCVAg2YqXxkmABEggNglk\nzpzZ1oqlTJnSVvs0TgIkQAIkQAKhCFAghSLD4yRAAiRAAiEJ5MmTJ+Q5K07kz5/fCjO0QQIk\nQAIkQAK6CVAg6UbGC0iABEiABEAgbdq0toGoWbOmbbZpmARIgARIgATCEaBACkeH50iABEiA\nBEISeOihh0KeM3MiadKk8sgjj5gxwWtJgARIgARIwDABCiTD6HghCZAACcQ3gb59+9oCwC7h\nZYuzNEoCJEACJBBzBCiQYq5JWSESIAESiA6B7Nmzi9ViBqNHI0eOjE4FWAoJkAAJkAAJBCFA\ngRQECg+RAAmQAAloIzB+/HhJnTq1tswacg0ZMkQyZMigISezkAAJkAAJkIA9BCiQ7OFKqyRA\nAiQQFwSSJ08uS5culZtuusl0fRs3biwtW7Y0bYcGSIAESIAESMAMAQokM/R4LQmQAAmQgOTN\nm1dWrFghZvYueuaZZ2TUqFGkSQIkQAIkQAKOE6BAcrwJ6AAJkAAJeJ9AoUKFZOvWrVK6dGld\nlcEI1Lhx42TgwIG6rmNmEiABEiABErCLAAWSXWRplwRIgATijABGkObPny+LFy+WsmXLhp12\nlylTJunRo4fs3r1b6tatG2ekWF0SIAESIAE3E7jZzc7RNxIgARIgAe8RKFGihMydO1c5vnPn\nTlm3bp2cPHlSkiVLJoULF5ZKlSoJRo6YSIAESIAESMCNBCiQ3Ngq9IkESIAEYoQApt7hHxMJ\nkAAJkAAJeIUAp9h5paXoJwmQAAmQAAmQAAmQAAmQgO0EKJBsR8wCSIAESIAESIAESIAESIAE\nvEKAAskrLUU/SYAESIAESIAESIAESIAEbCdAgWQ7YhZAAiRAAiRAAiRAAiRAAiTgFQIUSF5p\nKfpJAiRAAiRAAiRAAiRAAiRgOwEKJNsRswASIAESIAESIAESIAESIAGvEKBA8kpL0U8SIAES\nIAESIAESIAESIAHbCVAg2Y6YBZAACZAACZAACZAACZAACXiFAAWSV1qKfpIACZAACZAACZAA\nCZAACdhOgALJdsQsgARIgARIgARIgARIgARIwCsEKJC80lL0kwRIgARIgARIgARIgARIwHYC\nFEi2I2YBJEACJEACJEACJEACJEACXiFAgeSVlqKfJEACJEACJEACJEACJEACthOgQLIdMQsg\nARIgARIgARIgARIgARLwCgEKJK+0FP0kARIgARIgARIgARIgARKwnQAFku2IWQAJkAAJkAAJ\nkAAJkAAJkIBXCFAgeaWl6CcJkAAJkAAJkAAJkAAJkIDtBCiQbEfMAkiABEiABEiABEiABEiA\nBLxCgALJKy1FP0mABEiABEiABEiABEiABGwnQIFkO2IWQAIkQAIkQAIkQAIkQAIk4BUCFEhe\naSn6SQIkQAIkQAIkQAIkQAIkYDuBJNeuJ9tLcVEBZ8+elb///tuUR7fccosAm1k7ppyw8OK9\ne/fKn3/+KUWKFLHQqnOmkiZNKmgj1CkW0smTJ+XYsWNy2223SapUqWKhSpIiRQq5dOlSTNQF\n99nu3bslQ4YMkj179pio06233ir//POP+hcLFfrtt9/k6tWrUqhQoViojuA77uabb5YrV67E\nRH2OHj0qp06dknz58qnvhlioVCx9x128eFH27dsnmTJlkqxZs0aleW666SZJnz59VMpiISQQ\njEDcCaRgEOL92BNPPCE7duyQ7du3xzsKV9Z/7NixMmbMGJkwYYJUqVLFlT7Gs1P47NStW1ca\nNWokgwYNimcUrq17tWrVBJ28devWudbHeHbstddekylTpsiMGTOkZMmS8YzClXXfuHGjtGjR\nQtq2bSs9e/Z0pY90igSsJsApdlYTpT0SIAESIAESIAESIAESIAHPEqBA8mzT0XESIAESIAES\nIAESIAESIAGrCVAgWU2U9kiABEiABEiABEiABEiABDxLgGuQPNt01jm+YcMGOX/+vFSvXt06\no7RkGQEEAMAi83vuuUcyZ85smV0asobAH3/8oda25M6dW4oWLWqNUVqxlMCaNWtUwAmu4bMU\nq2XGsI5v//79Uq5cOUmXLp1ldmnIGgKnT5+WTZs2qSAasRLoxBoytBLLBCiQYrl1WTcSIAES\nIAESIAESIAESIAFdBDjFThcuZiYBEiABEiABEiABEiABEohlAhRIsdy6rBsJkAAJkAAJkAAJ\nkAAJkIAuAjfrys3MMUcAe4N88803cujQIbnrrrukVKlSMVdHL1fozJkzsnr1arUxMebn58iR\nw8vViWnfZ82apdaJFSxYMKbr6aXK7dq1S23i6+9zxowZpUyZMv6H+NpBAviOw2/QuXPnpHLl\nypIrVy4HvWHR/gSWLl2qNlj2P4bXqVOnlooVKwYe5nsSiCkCFEgx1Zz6KrN48WIZMWKEFC9e\nXFKmTCnvvfee1KlThxvB6cNoW+4VK1bI0KFD1cLlS5cuyTvvvCNDhgxh58424sYNz58/X23m\n27dvX6FAMs7R6is/+eQTQYCGNGnSJJjG9x0FUgIOR18g+Aw2HsWDn2zZsqnNsJ988kl5+umn\nHfWLhf8/gffff1+uXLmSCMeJEyekSJEiFEiJqPBNLBKgQIrFVtVQp6tXr8rUqVPl2WeflYYN\nG6orMFKBDl69evXYydPA0M4sf/31l4wbN06eeeYZadKkiSoKu81PnDiRnTs7wRuwffDgQdWx\nu+WWWwxczUvsJPDrr79K27ZtpUGDBnYWQ9sGCbz77rsq8iMeBCGtX79e+vfvr9rLX9QaNM/L\nTBL4+OOPE1nYvHmzdO/eXTp27JjoON+QQCwS4BqkWGxVDXU6deqUlC1bVh566KGE3AgjjYTp\ndkzOEvjnn3+kU6dOUrdu3QRHMmTIIGg3JvcQ+Pvvv2XQoEHSsmVLSZEihSRJksQ9zsW5J3/+\n+acKHY2n3UzuI4DfGWwxgYd0vlS+fHnBqEXy5Ml9h/jXJQQwHR8P6Zo1ayYlSpRwiVd0gwTs\nI0CBZB9bV1vGfjp4EpQ+ffoEP5cvXy433XSTGj5POMgXjhBAB+H+++9XUx9PnjwpixYtks8+\n+yxhtM8Rp1joDQQwCovpqfXr17/hHA84S2DPnj1q/QRGJdq0aSONGzdWo7IQTkzOEzhw4ID6\nvcFDBUz1xgMhjCjhN4mjsc63T6AHmNGQLFkyad26deApvieBmCRAgRSTzaq/UpgLPn78eGne\nvLmaC67fAq+wi8DAgQNl+PDhapNYLGJmcgeBbdu2yeeffy59+vThyJE7miSRFzt37lTvIYgw\nJahatWoyd+5cefPNNxPl4xtnCGAtCx4E9erVS31+SpcuLUuWLJGuXbsGDQzgjJcsFQSwkfyC\nBQvU1Mebb+bKDN4V8UGAd3p8tHPYWm7dulV69+4tDz74oHrSGjYzT0adwOjRowWRnrD+CAuY\n58yZw93mo94KiQvEdBNMrXv++eclS5YsiU/ynSsIPPzww2q9ni/yIyJ0YoR8ypQparQibdq0\nrvAzXp3A9NQLFy6oEYlGjRopDAie0aFDBzX17t57741XNK6rN4QrhBE+U0wkEC8EOIIULy0d\nop6I8NStWzd57LHH1JO8pEl5S4RA5ehhTDtp166dYG3SunXrHPWFhYvMmzdP8AQcYXBffPFF\n9Q+dvRkzZsjYsWOJyAUEMB3IJ4587lSoUEG9PHLkiO8Q/zpEwPdgoUqVKgkeYKsJCFcEPmFy\nDwFE6axZs6aaTuwer+gJCdhLgL1he/m62vrKlSvllVdekS5dukj79u1d7Wu8Obd37161rsU/\nYMbly5eVQLp27Vq84XBdfYsVKyZPPfWU4K/vH0YncubMKfny5XOdv/Ho0OzZs5Vw9a/7li1b\n1HSuQOHkn4evo0PA9znxF6vHjx9X+yH5zkXHE5YSjgDWwGIKvr+QDZef50ggVghwil2stKTO\neuBLb9iwYVK1alXVoUPHwZfy5Mkj2EyRyTkC6CBgXxAsjO3Ro4dAHGEfpHTp0onvKbhz3rFk\nRHEKjOQ0c+ZMtdFljRo1CMgFBO677z55++231bqj2rVrC77jsAbpkUceSbQvkgtcjUsX8DAB\nvz+YQowgDZjCNXnyZMmaNavceeedccnEjZXGwzqk/Pnzq7/8jwTihQAFUry0dEA9ERUN6ygw\nRQj//BPWI6FDweQsAUx9HDBggNqXCvtW5c2bV3UkEO6biQRIIDwBdMARnAEiacyYMWr0FeIV\n0TuZ3EHghRdeUKGjEQUSI7C5cuVSQTQQGZLJHQQgkPCb4x/x1h2e0QsSsJdAkuvTdThfx17G\ntE4CpggcO3ZMPV3lqJ4pjLw4TgkgGAA+Q9ja4NZbb41TCu6uNh7WYZSc33Hubid6RwLxRIAC\nKZ5am3UlARIgARIgARIgARIgARIIS4BBGsLi4UkSIAESIAESIAESIAESIIF4IkCBFE+tzbqS\nAAmQAAmQAAmQAAmQAAmEJUCBFBYPT5IACZAACZAACZAACZAACcQTAQqkeGpt1pUESIAESIAE\nSIAESIAESCAsAQqksHh4kgRIgARIgARIgARIgARIIJ4IUCDFU2uzriRAAiRAAiRAAiRAAiRA\nAmEJUCCFxcOTJEACJBB9AkePHpXff/89oeAjR47IoUOHEt5b+QJ70Ozbt0/tQ2OlXdoiARIg\nARIgAa8SoEDyasvRbxIggZgl0KJFC6lUqVJC/erVqycPP/xwwnsrXyxatEjy5csnX331lZVm\naYsESIAESIAEPEvgZs96TsdJgARIIE4IlCtXjiM8cdLWrCYJkAAJkIDzBCiQnG8DekACJEAC\nYQmMGTMm7HmeJAESIAESIAESsI4ABZJ1LGmJBEiABHQTOHbsmMyfP19WrFgh+fPnl1atWt1g\nY+LEiXLlyhXp2LGjOnf16lX57LPPZPHixXLq1CkpXLiw1KpVSypXrpxw7c6dO+XDDz+UDh06\nKNtLliyRDBkySO3ataVq1apy0003JeTlCxIgARIgARIggf8IcA3Sfyz4igRIgASiSuDEiROC\n6XPdunWTCxcuyPLly6V8+fKya9euRH5MnjxZ3n333YRjyN+wYUPZsGGDJE2aVKZNmyZVqlSR\nUaNGJeSBQBo4cKA8/fTT0rlzZ3V827ZtUr16denVq1dCPr4gARIgARIgARJITIACKTEPviMB\nEiCBqBFo1qyZnDlzRjZt2iSff/65rFu3Tl588UXZu3dvSB/Onz8vY8eOleeee062bt0qs2bN\nkgMHDshdd90lr7/+uvzzzz+JroXtjRs3yvvvvy8YRRo6dKgSUhiBYiIBEiABEiABEriRAAXS\njUx4hARIgARsJ3Du3DlZtmyZtG3bVk2R8xXYo0cPue2223xvg/7FqNH27dvl8OHD6jzer1q1\nSgmrwKlzXbt2VVP3fIZgP3PmzDJnzhzfIf4lARIgARIgARLwI0CB5AeDL0mABEggWgQw+nPt\n2jUpUaJEoiIhcO6+++5Ex/zfpEmTRk3JgyDKlSuXlClTRvr16ye7d++W5MmT+2dVrzFlzz/d\neuutcscdd8j333/vf5ivSYAESIAESIAE/iVAgcRbgQRIgAQcIHDy5ElVaurUqW8oPWPGjDcc\n8z+AqXQLFy4UTNHbv3+/DB48WAmlli1byt9//+2fVdKnT5/oPd6kTJlSzp49e8NxHiABEiAB\nEiABEhChQOJdQAIkQAIOEChZsqQqFQInMB06dCjwUKL3WGeEjWMRpe7o0aPy7bffyv3336+C\nNWBkyT8dPHjQ/616vW/fPilVqtQNx3mABEiABEiABEiAAon3AAmQAAk4QiBv3rySLVs2JWr8\nHYA4+vrrr/0PJXr9ww8/SKpUqRIi1iVJkkTKli0rnTp1UvmOHDmSKP/06dMTvYeY2rFjh4qe\nl+gE35AACZAACZAACSgC3AeJNwIJkAAJOEQA+xvVq1dPmjZtKj179hQEbkAQhcBIdP7uYeSp\nWrVqMmzYMLWX0YMPPig//fSTik6H6Xo1a9b0zy4zZsxQQR9atGghv/32mwr5jdGj7t27J8rH\nNyRAAiRAAiRAAv9PgFPseCeQAAmQgEMEHn30UYFI2rx5s1pD9NBDD0np0qWlcePGYT3CfkcF\nCxZUIgeCqXnz5nLzzTfL+vXrJXD9Up8+fWT27NkqGASEWPHixdXGtFiHxEQCJEACJEACJHAj\ngSTXoyhdu/Ewj5AACZAACUSTAPY+QvjtYEEbQvmBjWYR6jtfvnyC6Hb+CUEcateuLZ9++qk8\n/vjjsmfPHsmaNauanuefj69JgARIgARIgAQSE+AUu8Q8+I4ESIAEHCEAkaM3QVDhn5aUP39+\nLdmYhwRIgARIgATingCn2MX9LUAAJEACJEACJEACJEACJEACPgIUSD4S/EsCJEACMUQAm8hi\nbVKePHliqFasCgmQAAmQAAnYT4BrkOxnzBJIgARIgARIgARIgARIgAQ8QoAjSB5pKLpJAiRA\nAiRAAiRAAiRAAiRgPwEKJPsZswQSIAESIAESIAESIAESIAGPEKBA8khD0U0SIAESIAESIAES\nIAESIAH7CVAg2c+YJZAACZAACZAACZAACZAACXiEAAWSRxqKbpIACZAACZAACZAACZAACdhP\ngALJfsYsgQRIgARIgARIgARIgARIwCMEKJA80lB0kwRIgARIgARIgARIgARIwH4CFEj2M2YJ\nJEACJEACJEACJEACJEACHiHwf1+L4i9jyPshAAAAAElFTkSuQmCC",
"text/plain": [
"plot without title"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy, size = class))"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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c2TrjleQACCCAAAIIIIBAnAK6ZgvmEcXapXbt2rGeds/p+qi44Egb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M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\nCBAgQCAnAv8HwpteafEPVFMAAAAASUVORK5CYII=",
"text/plain": [
"plot without title"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy, alpha = class))"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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b773T65/PJm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Yq6j+kx1Ll3qtgOn119N724z5CCDQRwF6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\nwFVp9ynosUAdli9f7r7Kd9ZY9wHtajc0hN4y6wYUj/lhvLKyM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dlNj3338v9fX1summmzqp2LaW1ev1WunZvX/ZWsgYJ/b5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\nASnBUSJAgAABAgQIECBAoJbAAwAtz6UQ6UI5AAAAAElFTkSuQmCC",
"text/plain": [
"plot without title"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy), color = \"blue\")"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"?mpg"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<table>\n",
"<thead><tr><th scope=col>manufacturer</th><th scope=col>model</th><th scope=col>displ</th><th scope=col>year</th><th scope=col>cyl</th><th scope=col>trans</th><th scope=col>drv</th><th scope=col>cty</th><th scope=col>hwy</th><th scope=col>fl</th><th scope=col>class</th></tr></thead>\n",
"<tbody>\n",
"\t<tr><td>audi </td><td>a4 </td><td>1.8 </td><td>1999 </td><td>4 </td><td>auto(l5) </td><td>f </td><td>18 </td><td>29 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 </td><td>1.8 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>f </td><td>21 </td><td>29 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 </td><td>2.0 </td><td>2008 </td><td>4 </td><td>manual(m6) </td><td>f </td><td>20 </td><td>31 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 </td><td>2.0 </td><td>2008 </td><td>4 </td><td>auto(av) </td><td>f </td><td>21 </td><td>30 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 </td><td>2.8 </td><td>1999 </td><td>6 </td><td>auto(l5) </td><td>f </td><td>16 </td><td>26 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 </td><td>2.8 </td><td>1999 </td><td>6 </td><td>manual(m5) </td><td>f </td><td>18 </td><td>26 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 </td><td>3.1 </td><td>2008 </td><td>6 </td><td>auto(av) </td><td>f </td><td>18 </td><td>27 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>1.8 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>4 </td><td>18 </td><td>26 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>1.8 </td><td>1999 </td><td>4 </td><td>auto(l5) </td><td>4 </td><td>16 </td><td>25 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>2.0 </td><td>2008 </td><td>4 </td><td>manual(m6) </td><td>4 </td><td>20 </td><td>28 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>2.0 </td><td>2008 </td><td>4 </td><td>auto(s6) </td><td>4 </td><td>19 </td><td>27 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>2.8 </td><td>1999 </td><td>6 </td><td>auto(l5) </td><td>4 </td><td>15 </td><td>25 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>2.8 </td><td>1999 </td><td>6 </td><td>manual(m5) </td><td>4 </td><td>17 </td><td>25 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>3.1 </td><td>2008 </td><td>6 </td><td>auto(s6) </td><td>4 </td><td>17 </td><td>25 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a4 quattro </td><td>3.1 </td><td>2008 </td><td>6 </td><td>manual(m6) </td><td>4 </td><td>15 </td><td>25 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>audi </td><td>a6 quattro </td><td>2.8 </td><td>1999 </td><td>6 </td><td>auto(l5) </td><td>4 </td><td>15 </td><td>24 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>audi </td><td>a6 quattro </td><td>3.1 </td><td>2008 </td><td>6 </td><td>auto(s6) </td><td>4 </td><td>17 </td><td>25 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>audi </td><td>a6 quattro </td><td>4.2 </td><td>2008 </td><td>8 </td><td>auto(s6) </td><td>4 </td><td>16 </td><td>23 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>chevrolet </td><td>c1500 suburban 2wd</td><td>5.3 </td><td>2008 </td><td>8 </td><td>auto(l4) </td><td>r </td><td>14 </td><td>20 </td><td>r </td><td>suv </td></tr>\n",
"\t<tr><td>chevrolet </td><td>c1500 suburban 2wd</td><td>5.3 </td><td>2008 </td><td>8 </td><td>auto(l4) </td><td>r </td><td>11 </td><td>15 </td><td>e </td><td>suv </td></tr>\n",
"\t<tr><td>chevrolet </td><td>c1500 suburban 2wd</td><td>5.3 </td><td>2008 </td><td>8 </td><td>auto(l4) </td><td>r </td><td>14 </td><td>20 </td><td>r </td><td>suv </td></tr>\n",
"\t<tr><td>chevrolet </td><td>c1500 suburban 2wd</td><td>5.7 </td><td>1999 </td><td>8 </td><td>auto(l4) </td><td>r </td><td>13 </td><td>17 </td><td>r </td><td>suv </td></tr>\n",
"\t<tr><td>chevrolet </td><td>c1500 suburban 2wd</td><td>6.0 </td><td>2008 </td><td>8 </td><td>auto(l4) </td><td>r </td><td>12 </td><td>17 </td><td>r </td><td>suv </td></tr>\n",
"\t<tr><td>chevrolet </td><td>corvette </td><td>5.7 </td><td>1999 </td><td>8 </td><td>manual(m6) </td><td>r </td><td>16 </td><td>26 </td><td>p </td><td>2seater </td></tr>\n",
"\t<tr><td>chevrolet </td><td>corvette </td><td>5.7 </td><td>1999 </td><td>8 </td><td>auto(l4) </td><td>r </td><td>15 </td><td>23 </td><td>p </td><td>2seater </td></tr>\n",
"\t<tr><td>chevrolet </td><td>corvette </td><td>6.2 </td><td>2008 </td><td>8 </td><td>manual(m6) </td><td>r </td><td>16 </td><td>26 </td><td>p </td><td>2seater </td></tr>\n",
"\t<tr><td>chevrolet </td><td>corvette </td><td>6.2 </td><td>2008 </td><td>8 </td><td>auto(s6) </td><td>r </td><td>15 </td><td>25 </td><td>p </td><td>2seater </td></tr>\n",
"\t<tr><td>chevrolet </td><td>corvette </td><td>7.0 </td><td>2008 </td><td>8 </td><td>manual(m6) </td><td>r </td><td>15 </td><td>24 </td><td>p </td><td>2seater </td></tr>\n",
"\t<tr><td>chevrolet </td><td>k1500 tahoe 4wd </td><td>5.3 </td><td>2008 </td><td>8 </td><td>auto(l4) </td><td>4 </td><td>14 </td><td>19 </td><td>r </td><td>suv </td></tr>\n",
"\t<tr><td>chevrolet </td><td>k1500 tahoe 4wd </td><td>5.3 </td><td>2008 </td><td>8 </td><td>auto(l4) </td><td>4 </td><td>11 </td><td>14 </td><td>e </td><td>suv </td></tr>\n",
"\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
"\t<tr><td>toyota </td><td>toyota tacoma 4wd</td><td>3.4 </td><td>1999 </td><td>6 </td><td>auto(l4) </td><td>4 </td><td>15 </td><td>19 </td><td>r </td><td>pickup </td></tr>\n",
"\t<tr><td>toyota </td><td>toyota tacoma 4wd</td><td>4.0 </td><td>2008 </td><td>6 </td><td>manual(m6) </td><td>4 </td><td>15 </td><td>18 </td><td>r </td><td>pickup </td></tr>\n",
"\t<tr><td>toyota </td><td>toyota tacoma 4wd</td><td>4.0 </td><td>2008 </td><td>6 </td><td>auto(l5) </td><td>4 </td><td>16 </td><td>20 </td><td>r </td><td>pickup </td></tr>\n",
"\t<tr><td>volkswagen </td><td>gti </td><td>2.0 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>f </td><td>21 </td><td>29 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>gti </td><td>2.0 </td><td>1999 </td><td>4 </td><td>auto(l4) </td><td>f </td><td>19 </td><td>26 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>gti </td><td>2.0 </td><td>2008 </td><td>4 </td><td>manual(m6) </td><td>f </td><td>21 </td><td>29 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>gti </td><td>2.0 </td><td>2008 </td><td>4 </td><td>auto(s6) </td><td>f </td><td>22 </td><td>29 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>gti </td><td>2.8 </td><td>1999 </td><td>6 </td><td>manual(m5) </td><td>f </td><td>17 </td><td>24 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>1.9 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>f </td><td>33 </td><td>44 </td><td>d </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.0 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>f </td><td>21 </td><td>29 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.0 </td><td>1999 </td><td>4 </td><td>auto(l4) </td><td>f </td><td>19 </td><td>26 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.0 </td><td>2008 </td><td>4 </td><td>auto(s6) </td><td>f </td><td>22 </td><td>29 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.0 </td><td>2008 </td><td>4 </td><td>manual(m6) </td><td>f </td><td>21 </td><td>29 </td><td>p </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.5 </td><td>2008 </td><td>5 </td><td>auto(s6) </td><td>f </td><td>21 </td><td>29 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.5 </td><td>2008 </td><td>5 </td><td>manual(m5) </td><td>f </td><td>21 </td><td>29 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.8 </td><td>1999 </td><td>6 </td><td>auto(l4) </td><td>f </td><td>16 </td><td>23 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>jetta </td><td>2.8 </td><td>1999 </td><td>6 </td><td>manual(m5) </td><td>f </td><td>17 </td><td>24 </td><td>r </td><td>compact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>new beetle </td><td>1.9 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>f </td><td>35 </td><td>44 </td><td>d </td><td>subcompact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>new beetle </td><td>1.9 </td><td>1999 </td><td>4 </td><td>auto(l4) </td><td>f </td><td>29 </td><td>41 </td><td>d </td><td>subcompact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>new beetle </td><td>2.0 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>f </td><td>21 </td><td>29 </td><td>r </td><td>subcompact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>new beetle </td><td>2.0 </td><td>1999 </td><td>4 </td><td>auto(l4) </td><td>f </td><td>19 </td><td>26 </td><td>r </td><td>subcompact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>new beetle </td><td>2.5 </td><td>2008 </td><td>5 </td><td>manual(m5) </td><td>f </td><td>20 </td><td>28 </td><td>r </td><td>subcompact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>new beetle </td><td>2.5 </td><td>2008 </td><td>5 </td><td>auto(s6) </td><td>f </td><td>20 </td><td>29 </td><td>r </td><td>subcompact </td></tr>\n",
"\t<tr><td>volkswagen </td><td>passat </td><td>1.8 </td><td>1999 </td><td>4 </td><td>manual(m5) </td><td>f </td><td>21 </td><td>29 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>volkswagen </td><td>passat </td><td>1.8 </td><td>1999 </td><td>4 </td><td>auto(l5) </td><td>f </td><td>18 </td><td>29 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>volkswagen </td><td>passat </td><td>2.0 </td><td>2008 </td><td>4 </td><td>auto(s6) </td><td>f </td><td>19 </td><td>28 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>volkswagen </td><td>passat </td><td>2.0 </td><td>2008 </td><td>4 </td><td>manual(m6) </td><td>f </td><td>21 </td><td>29 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>volkswagen </td><td>passat </td><td>2.8 </td><td>1999 </td><td>6 </td><td>auto(l5) </td><td>f </td><td>16 </td><td>26 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>volkswagen </td><td>passat </td><td>2.8 </td><td>1999 </td><td>6 </td><td>manual(m5) </td><td>f </td><td>18 </td><td>26 </td><td>p </td><td>midsize </td></tr>\n",
"\t<tr><td>volkswagen </td><td>passat </td><td>3.6 </td><td>2008 </td><td>6 </td><td>auto(s6) </td><td>f </td><td>17 </td><td>26 </td><td>p </td><td>midsize </td></tr>\n",
"</tbody>\n",
"</table>\n"
],
"text/latex": [
"\\begin{tabular}{r|lllllllllll}\n",
" manufacturer & model & displ & year & cyl & trans & drv & cty & hwy & fl & class\\\\\n",
"\\hline\n",
"\t audi & a4 & 1.8 & 1999 & 4 & auto(l5) & f & 18 & 29 & p & compact \\\\\n",
"\t audi & a4 & 1.8 & 1999 & 4 & manual(m5) & f & 21 & 29 & p & compact \\\\\n",
"\t audi & a4 & 2.0 & 2008 & 4 & manual(m6) & f & 20 & 31 & p & compact \\\\\n",
"\t audi & a4 & 2.0 & 2008 & 4 & auto(av) & f & 21 & 30 & p & compact \\\\\n",
"\t audi & a4 & 2.8 & 1999 & 6 & auto(l5) & f & 16 & 26 & p & compact \\\\\n",
"\t audi & a4 & 2.8 & 1999 & 6 & manual(m5) & f & 18 & 26 & p & compact \\\\\n",
"\t audi & a4 & 3.1 & 2008 & 6 & auto(av) & f & 18 & 27 & p & compact \\\\\n",
"\t audi & a4 quattro & 1.8 & 1999 & 4 & manual(m5) & 4 & 18 & 26 & p & compact \\\\\n",
"\t audi & a4 quattro & 1.8 & 1999 & 4 & auto(l5) & 4 & 16 & 25 & p & compact \\\\\n",
"\t audi & a4 quattro & 2.0 & 2008 & 4 & manual(m6) & 4 & 20 & 28 & p & compact \\\\\n",
"\t audi & a4 quattro & 2.0 & 2008 & 4 & auto(s6) & 4 & 19 & 27 & p & compact \\\\\n",
"\t audi & a4 quattro & 2.8 & 1999 & 6 & auto(l5) & 4 & 15 & 25 & p & compact \\\\\n",
"\t audi & a4 quattro & 2.8 & 1999 & 6 & manual(m5) & 4 & 17 & 25 & p & compact \\\\\n",
"\t audi & a4 quattro & 3.1 & 2008 & 6 & auto(s6) & 4 & 17 & 25 & p & compact \\\\\n",
"\t audi & a4 quattro & 3.1 & 2008 & 6 & manual(m6) & 4 & 15 & 25 & p & compact \\\\\n",
"\t audi & a6 quattro & 2.8 & 1999 & 6 & auto(l5) & 4 & 15 & 24 & p & midsize \\\\\n",
"\t audi & a6 quattro & 3.1 & 2008 & 6 & auto(s6) & 4 & 17 & 25 & p & midsize \\\\\n",
"\t audi & a6 quattro & 4.2 & 2008 & 8 & auto(s6) & 4 & 16 & 23 & p & midsize \\\\\n",
"\t chevrolet & c1500 suburban 2wd & 5.3 & 2008 & 8 & auto(l4) & r & 14 & 20 & r & suv \\\\\n",
"\t chevrolet & c1500 suburban 2wd & 5.3 & 2008 & 8 & auto(l4) & r & 11 & 15 & e & suv \\\\\n",
"\t chevrolet & c1500 suburban 2wd & 5.3 & 2008 & 8 & auto(l4) & r & 14 & 20 & r & suv \\\\\n",
"\t chevrolet & c1500 suburban 2wd & 5.7 & 1999 & 8 & auto(l4) & r & 13 & 17 & r & suv \\\\\n",
"\t chevrolet & c1500 suburban 2wd & 6.0 & 2008 & 8 & auto(l4) & r & 12 & 17 & r & suv \\\\\n",
"\t chevrolet & corvette & 5.7 & 1999 & 8 & manual(m6) & r & 16 & 26 & p & 2seater \\\\\n",
"\t chevrolet & corvette & 5.7 & 1999 & 8 & auto(l4) & r & 15 & 23 & p & 2seater \\\\\n",
"\t chevrolet & corvette & 6.2 & 2008 & 8 & manual(m6) & r & 16 & 26 & p & 2seater \\\\\n",
"\t chevrolet & corvette & 6.2 & 2008 & 8 & auto(s6) & r & 15 & 25 & p & 2seater \\\\\n",
"\t chevrolet & corvette & 7.0 & 2008 & 8 & manual(m6) & r & 15 & 24 & p & 2seater \\\\\n",
"\t chevrolet & k1500 tahoe 4wd & 5.3 & 2008 & 8 & auto(l4) & 4 & 14 & 19 & r & suv \\\\\n",
"\t chevrolet & k1500 tahoe 4wd & 5.3 & 2008 & 8 & auto(l4) & 4 & 11 & 14 & e & suv \\\\\n",
"\t ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
"\t toyota & toyota tacoma 4wd & 3.4 & 1999 & 6 & auto(l4) & 4 & 15 & 19 & r & pickup \\\\\n",
"\t toyota & toyota tacoma 4wd & 4.0 & 2008 & 6 & manual(m6) & 4 & 15 & 18 & r & pickup \\\\\n",
"\t toyota & toyota tacoma 4wd & 4.0 & 2008 & 6 & auto(l5) & 4 & 16 & 20 & r & pickup \\\\\n",
"\t volkswagen & gti & 2.0 & 1999 & 4 & manual(m5) & f & 21 & 29 & r & compact \\\\\n",
"\t volkswagen & gti & 2.0 & 1999 & 4 & auto(l4) & f & 19 & 26 & r & compact \\\\\n",
"\t volkswagen & gti & 2.0 & 2008 & 4 & manual(m6) & f & 21 & 29 & p & compact \\\\\n",
"\t volkswagen & gti & 2.0 & 2008 & 4 & auto(s6) & f & 22 & 29 & p & compact \\\\\n",
"\t volkswagen & gti & 2.8 & 1999 & 6 & manual(m5) & f & 17 & 24 & r & compact \\\\\n",
"\t volkswagen & jetta & 1.9 & 1999 & 4 & manual(m5) & f & 33 & 44 & d & compact \\\\\n",
"\t volkswagen & jetta & 2.0 & 1999 & 4 & manual(m5) & f & 21 & 29 & r & compact \\\\\n",
"\t volkswagen & jetta & 2.0 & 1999 & 4 & auto(l4) & f & 19 & 26 & r & compact \\\\\n",
"\t volkswagen & jetta & 2.0 & 2008 & 4 & auto(s6) & f & 22 & 29 & p & compact \\\\\n",
"\t volkswagen & jetta & 2.0 & 2008 & 4 & manual(m6) & f & 21 & 29 & p & compact \\\\\n",
"\t volkswagen & jetta & 2.5 & 2008 & 5 & auto(s6) & f & 21 & 29 & r & compact \\\\\n",
"\t volkswagen & jetta & 2.5 & 2008 & 5 & manual(m5) & f & 21 & 29 & r & compact \\\\\n",
"\t volkswagen & jetta & 2.8 & 1999 & 6 & auto(l4) & f & 16 & 23 & r & compact \\\\\n",
"\t volkswagen & jetta & 2.8 & 1999 & 6 & manual(m5) & f & 17 & 24 & r & compact \\\\\n",
"\t volkswagen & new beetle & 1.9 & 1999 & 4 & manual(m5) & f & 35 & 44 & d & subcompact \\\\\n",
"\t volkswagen & new beetle & 1.9 & 1999 & 4 & auto(l4) & f & 29 & 41 & d & subcompact \\\\\n",
"\t volkswagen & new beetle & 2.0 & 1999 & 4 & manual(m5) & f & 21 & 29 & r & subcompact \\\\\n",
"\t volkswagen & new beetle & 2.0 & 1999 & 4 & auto(l4) & f & 19 & 26 & r & subcompact \\\\\n",
"\t volkswagen & new beetle & 2.5 & 2008 & 5 & manual(m5) & f & 20 & 28 & r & subcompact \\\\\n",
"\t volkswagen & new beetle & 2.5 & 2008 & 5 & auto(s6) & f & 20 & 29 & r & subcompact \\\\\n",
"\t volkswagen & passat & 1.8 & 1999 & 4 & manual(m5) & f & 21 & 29 & p & midsize \\\\\n",
"\t volkswagen & passat & 1.8 & 1999 & 4 & auto(l5) & f & 18 & 29 & p & midsize \\\\\n",
"\t volkswagen & passat & 2.0 & 2008 & 4 & auto(s6) & f & 19 & 28 & p & midsize \\\\\n",
"\t volkswagen & passat & 2.0 & 2008 & 4 & manual(m6) & f & 21 & 29 & p & midsize \\\\\n",
"\t volkswagen & passat & 2.8 & 1999 & 6 & auto(l5) & f & 16 & 26 & p & midsize \\\\\n",
"\t volkswagen & passat & 2.8 & 1999 & 6 & manual(m5) & f & 18 & 26 & p & midsize \\\\\n",
"\t volkswagen & passat & 3.6 & 2008 & 6 & auto(s6) & f & 17 & 26 & p & midsize \\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"manufacturer | model | displ | year | cyl | trans | drv | cty | hwy | fl | class | \n",
"|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
"| audi | a4 | 1.8 | 1999 | 4 | auto(l5) | f | 18 | 29 | p | compact | \n",
"| audi | a4 | 1.8 | 1999 | 4 | manual(m5) | f | 21 | 29 | p | compact | \n",
"| audi | a4 | 2.0 | 2008 | 4 | manual(m6) | f | 20 | 31 | p | compact | \n",
"| audi | a4 | 2.0 | 2008 | 4 | auto(av) | f | 21 | 30 | p | compact | \n",
"| audi | a4 | 2.8 | 1999 | 6 | auto(l5) | f | 16 | 26 | p | compact | \n",
"| audi | a4 | 2.8 | 1999 | 6 | manual(m5) | f | 18 | 26 | p | compact | \n",
"| audi | a4 | 3.1 | 2008 | 6 | auto(av) | f | 18 | 27 | p | compact | \n",
"| audi | a4 quattro | 1.8 | 1999 | 4 | manual(m5) | 4 | 18 | 26 | p | compact | \n",
"| audi | a4 quattro | 1.8 | 1999 | 4 | auto(l5) | 4 | 16 | 25 | p | compact | \n",
"| audi | a4 quattro | 2.0 | 2008 | 4 | manual(m6) | 4 | 20 | 28 | p | compact | \n",
"| audi | a4 quattro | 2.0 | 2008 | 4 | auto(s6) | 4 | 19 | 27 | p | compact | \n",
"| audi | a4 quattro | 2.8 | 1999 | 6 | auto(l5) | 4 | 15 | 25 | p | compact | \n",
"| audi | a4 quattro | 2.8 | 1999 | 6 | manual(m5) | 4 | 17 | 25 | p | compact | \n",
"| audi | a4 quattro | 3.1 | 2008 | 6 | auto(s6) | 4 | 17 | 25 | p | compact | \n",
"| audi | a4 quattro | 3.1 | 2008 | 6 | manual(m6) | 4 | 15 | 25 | p | compact | \n",
"| audi | a6 quattro | 2.8 | 1999 | 6 | auto(l5) | 4 | 15 | 24 | p | midsize | \n",
"| audi | a6 quattro | 3.1 | 2008 | 6 | auto(s6) | 4 | 17 | 25 | p | midsize | \n",
"| audi | a6 quattro | 4.2 | 2008 | 8 | auto(s6) | 4 | 16 | 23 | p | midsize | \n",
"| chevrolet | c1500 suburban 2wd | 5.3 | 2008 | 8 | auto(l4) | r | 14 | 20 | r | suv | \n",
"| chevrolet | c1500 suburban 2wd | 5.3 | 2008 | 8 | auto(l4) | r | 11 | 15 | e | suv | \n",
"| chevrolet | c1500 suburban 2wd | 5.3 | 2008 | 8 | auto(l4) | r | 14 | 20 | r | suv | \n",
"| chevrolet | c1500 suburban 2wd | 5.7 | 1999 | 8 | auto(l4) | r | 13 | 17 | r | suv | \n",
"| chevrolet | c1500 suburban 2wd | 6.0 | 2008 | 8 | auto(l4) | r | 12 | 17 | r | suv | \n",
"| chevrolet | corvette | 5.7 | 1999 | 8 | manual(m6) | r | 16 | 26 | p | 2seater | \n",
"| chevrolet | corvette | 5.7 | 1999 | 8 | auto(l4) | r | 15 | 23 | p | 2seater | \n",
"| chevrolet | corvette | 6.2 | 2008 | 8 | manual(m6) | r | 16 | 26 | p | 2seater | \n",
"| chevrolet | corvette | 6.2 | 2008 | 8 | auto(s6) | r | 15 | 25 | p | 2seater | \n",
"| chevrolet | corvette | 7.0 | 2008 | 8 | manual(m6) | r | 15 | 24 | p | 2seater | \n",
"| chevrolet | k1500 tahoe 4wd | 5.3 | 2008 | 8 | auto(l4) | 4 | 14 | 19 | r | suv | \n",
"| chevrolet | k1500 tahoe 4wd | 5.3 | 2008 | 8 | auto(l4) | 4 | 11 | 14 | e | suv | \n",
"| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | \n",
"| toyota | toyota tacoma 4wd | 3.4 | 1999 | 6 | auto(l4) | 4 | 15 | 19 | r | pickup | \n",
"| toyota | toyota tacoma 4wd | 4.0 | 2008 | 6 | manual(m6) | 4 | 15 | 18 | r | pickup | \n",
"| toyota | toyota tacoma 4wd | 4.0 | 2008 | 6 | auto(l5) | 4 | 16 | 20 | r | pickup | \n",
"| volkswagen | gti | 2.0 | 1999 | 4 | manual(m5) | f | 21 | 29 | r | compact | \n",
"| volkswagen | gti | 2.0 | 1999 | 4 | auto(l4) | f | 19 | 26 | r | compact | \n",
"| volkswagen | gti | 2.0 | 2008 | 4 | manual(m6) | f | 21 | 29 | p | compact | \n",
"| volkswagen | gti | 2.0 | 2008 | 4 | auto(s6) | f | 22 | 29 | p | compact | \n",
"| volkswagen | gti | 2.8 | 1999 | 6 | manual(m5) | f | 17 | 24 | r | compact | \n",
"| volkswagen | jetta | 1.9 | 1999 | 4 | manual(m5) | f | 33 | 44 | d | compact | \n",
"| volkswagen | jetta | 2.0 | 1999 | 4 | manual(m5) | f | 21 | 29 | r | compact | \n",
"| volkswagen | jetta | 2.0 | 1999 | 4 | auto(l4) | f | 19 | 26 | r | compact | \n",
"| volkswagen | jetta | 2.0 | 2008 | 4 | auto(s6) | f | 22 | 29 | p | compact | \n",
"| volkswagen | jetta | 2.0 | 2008 | 4 | manual(m6) | f | 21 | 29 | p | compact | \n",
"| volkswagen | jetta | 2.5 | 2008 | 5 | auto(s6) | f | 21 | 29 | r | compact | \n",
"| volkswagen | jetta | 2.5 | 2008 | 5 | manual(m5) | f | 21 | 29 | r | compact | \n",
"| volkswagen | jetta | 2.8 | 1999 | 6 | auto(l4) | f | 16 | 23 | r | compact | \n",
"| volkswagen | jetta | 2.8 | 1999 | 6 | manual(m5) | f | 17 | 24 | r | compact | \n",
"| volkswagen | new beetle | 1.9 | 1999 | 4 | manual(m5) | f | 35 | 44 | d | subcompact | \n",
"| volkswagen | new beetle | 1.9 | 1999 | 4 | auto(l4) | f | 29 | 41 | d | subcompact | \n",
"| volkswagen | new beetle | 2.0 | 1999 | 4 | manual(m5) | f | 21 | 29 | r | subcompact | \n",
"| volkswagen | new beetle | 2.0 | 1999 | 4 | auto(l4) | f | 19 | 26 | r | subcompact | \n",
"| volkswagen | new beetle | 2.5 | 2008 | 5 | manual(m5) | f | 20 | 28 | r | subcompact | \n",
"| volkswagen | new beetle | 2.5 | 2008 | 5 | auto(s6) | f | 20 | 29 | r | subcompact | \n",
"| volkswagen | passat | 1.8 | 1999 | 4 | manual(m5) | f | 21 | 29 | p | midsize | \n",
"| volkswagen | passat | 1.8 | 1999 | 4 | auto(l5) | f | 18 | 29 | p | midsize | \n",
"| volkswagen | passat | 2.0 | 2008 | 4 | auto(s6) | f | 19 | 28 | p | midsize | \n",
"| volkswagen | passat | 2.0 | 2008 | 4 | manual(m6) | f | 21 | 29 | p | midsize | \n",
"| volkswagen | passat | 2.8 | 1999 | 6 | auto(l5) | f | 16 | 26 | p | midsize | \n",
"| volkswagen | passat | 2.8 | 1999 | 6 | manual(m5) | f | 18 | 26 | p | midsize | \n",
"| volkswagen | passat | 3.6 | 2008 | 6 | auto(s6) | f | 17 | 26 | p | midsize | \n",
"\n",
"\n"
],
"text/plain": [
" manufacturer model displ year cyl trans drv cty hwy fl\n",
"1 audi a4 1.8 1999 4 auto(l5) f 18 29 p \n",
"2 audi a4 1.8 1999 4 manual(m5) f 21 29 p \n",
"3 audi a4 2.0 2008 4 manual(m6) f 20 31 p \n",
"4 audi a4 2.0 2008 4 auto(av) f 21 30 p \n",
"5 audi a4 2.8 1999 6 auto(l5) f 16 26 p \n",
"6 audi a4 2.8 1999 6 manual(m5) f 18 26 p \n",
"7 audi a4 3.1 2008 6 auto(av) f 18 27 p \n",
"8 audi a4 quattro 1.8 1999 4 manual(m5) 4 18 26 p \n",
"9 audi a4 quattro 1.8 1999 4 auto(l5) 4 16 25 p \n",
"10 audi a4 quattro 2.0 2008 4 manual(m6) 4 20 28 p \n",
"11 audi a4 quattro 2.0 2008 4 auto(s6) 4 19 27 p \n",
"12 audi a4 quattro 2.8 1999 6 auto(l5) 4 15 25 p \n",
"13 audi a4 quattro 2.8 1999 6 manual(m5) 4 17 25 p \n",
"14 audi a4 quattro 3.1 2008 6 auto(s6) 4 17 25 p \n",
"15 audi a4 quattro 3.1 2008 6 manual(m6) 4 15 25 p \n",
"16 audi a6 quattro 2.8 1999 6 auto(l5) 4 15 24 p \n",
"17 audi a6 quattro 3.1 2008 6 auto(s6) 4 17 25 p \n",
"18 audi a6 quattro 4.2 2008 8 auto(s6) 4 16 23 p \n",
"19 chevrolet c1500 suburban 2wd 5.3 2008 8 auto(l4) r 14 20 r \n",
"20 chevrolet c1500 suburban 2wd 5.3 2008 8 auto(l4) r 11 15 e \n",
"21 chevrolet c1500 suburban 2wd 5.3 2008 8 auto(l4) r 14 20 r \n",
"22 chevrolet c1500 suburban 2wd 5.7 1999 8 auto(l4) r 13 17 r \n",
"23 chevrolet c1500 suburban 2wd 6.0 2008 8 auto(l4) r 12 17 r \n",
"24 chevrolet corvette 5.7 1999 8 manual(m6) r 16 26 p \n",
"25 chevrolet corvette 5.7 1999 8 auto(l4) r 15 23 p \n",
"26 chevrolet corvette 6.2 2008 8 manual(m6) r 16 26 p \n",
"27 chevrolet corvette 6.2 2008 8 auto(s6) r 15 25 p \n",
"28 chevrolet corvette 7.0 2008 8 manual(m6) r 15 24 p \n",
"29 chevrolet k1500 tahoe 4wd 5.3 2008 8 auto(l4) 4 14 19 r \n",
"30 chevrolet k1500 tahoe 4wd 5.3 2008 8 auto(l4) 4 11 14 e \n",
"⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ \n",
"205 toyota toyota tacoma 4wd 3.4 1999 6 auto(l4) 4 15 19 r \n",
"206 toyota toyota tacoma 4wd 4.0 2008 6 manual(m6) 4 15 18 r \n",
"207 toyota toyota tacoma 4wd 4.0 2008 6 auto(l5) 4 16 20 r \n",
"208 volkswagen gti 2.0 1999 4 manual(m5) f 21 29 r \n",
"209 volkswagen gti 2.0 1999 4 auto(l4) f 19 26 r \n",
"210 volkswagen gti 2.0 2008 4 manual(m6) f 21 29 p \n",
"211 volkswagen gti 2.0 2008 4 auto(s6) f 22 29 p \n",
"212 volkswagen gti 2.8 1999 6 manual(m5) f 17 24 r \n",
"213 volkswagen jetta 1.9 1999 4 manual(m5) f 33 44 d \n",
"214 volkswagen jetta 2.0 1999 4 manual(m5) f 21 29 r \n",
"215 volkswagen jetta 2.0 1999 4 auto(l4) f 19 26 r \n",
"216 volkswagen jetta 2.0 2008 4 auto(s6) f 22 29 p \n",
"217 volkswagen jetta 2.0 2008 4 manual(m6) f 21 29 p \n",
"218 volkswagen jetta 2.5 2008 5 auto(s6) f 21 29 r \n",
"219 volkswagen jetta 2.5 2008 5 manual(m5) f 21 29 r \n",
"220 volkswagen jetta 2.8 1999 6 auto(l4) f 16 23 r \n",
"221 volkswagen jetta 2.8 1999 6 manual(m5) f 17 24 r \n",
"222 volkswagen new beetle 1.9 1999 4 manual(m5) f 35 44 d \n",
"223 volkswagen new beetle 1.9 1999 4 auto(l4) f 29 41 d \n",
"224 volkswagen new beetle 2.0 1999 4 manual(m5) f 21 29 r \n",
"225 volkswagen new beetle 2.0 1999 4 auto(l4) f 19 26 r \n",
"226 volkswagen new beetle 2.5 2008 5 manual(m5) f 20 28 r \n",
"227 volkswagen new beetle 2.5 2008 5 auto(s6) f 20 29 r \n",
"228 volkswagen passat 1.8 1999 4 manual(m5) f 21 29 p \n",
"229 volkswagen passat 1.8 1999 4 auto(l5) f 18 29 p \n",
"230 volkswagen passat 2.0 2008 4 auto(s6) f 19 28 p \n",
"231 volkswagen passat 2.0 2008 4 manual(m6) f 21 29 p \n",
"232 volkswagen passat 2.8 1999 6 auto(l5) f 16 26 p \n",
"233 volkswagen passat 2.8 1999 6 manual(m5) f 18 26 p \n",
"234 volkswagen passat 3.6 2008 6 auto(s6) f 17 26 p \n",
" class \n",
"1 compact \n",
"2 compact \n",
"3 compact \n",
"4 compact \n",
"5 compact \n",
"6 compact \n",
"7 compact \n",
"8 compact \n",
"9 compact \n",
"10 compact \n",
"11 compact \n",
"12 compact \n",
"13 compact \n",
"14 compact \n",
"15 compact \n",
"16 midsize \n",
"17 midsize \n",
"18 midsize \n",
"19 suv \n",
"20 suv \n",
"21 suv \n",
"22 suv \n",
"23 suv \n",
"24 2seater \n",
"25 2seater \n",
"26 2seater \n",
"27 2seater \n",
"28 2seater \n",
"29 suv \n",
"30 suv \n",
"⋮ ⋮ \n",
"205 pickup \n",
"206 pickup \n",
"207 pickup \n",
"208 compact \n",
"209 compact \n",
"210 compact \n",
"211 compact \n",
"212 compact \n",
"213 compact \n",
"214 compact \n",
"215 compact \n",
"216 compact \n",
"217 compact \n",
"218 compact \n",
"219 compact \n",
"220 compact \n",
"221 compact \n",
"222 subcompact\n",
"223 subcompact\n",
"224 subcompact\n",
"225 subcompact\n",
"226 subcompact\n",
"227 subcompact\n",
"228 midsize \n",
"229 midsize \n",
"230 midsize \n",
"231 midsize \n",
"232 midsize \n",
"233 midsize \n",
"234 midsize "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"mpg"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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d+l9kFlSKt3vvrqK/POO+/YvlfQnXz9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\nBKRCaPEtBCAAAQhAAAIQgAAEIJBoAghIiU5eIgc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/+eSTT2o5BSwegcIK6AVx2cIvv/xi06dPzzYZ4xEoa4Ew24JOKObNm1fW+STxCGQT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\n11xjJ598snuvSnz6f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CQXwigAACCCCAAAJFE6CCVDRqFoRAZQoMGTLETjrpJNNL\nYhX04tdbbrnF+vbtmzXDq666quviW3eS6tat6/623XZbe/bZZ61r165Z4zMBAggggAACCCCQ\nb4GabVvyvQTmhwACFS3QsGFDu/zyy+26666zJk2a2Jw5c9I2u0sF0b17d3v00UfdnSQ9t7Rw\n4cJUkzEMAQQQQAABBBAoigAVpKIwsxAEqkMg1fNEYXOuO0i8HDasFtMhgAACCCCAQKEEqCAV\nSpb5IlBFApMnT3bN4mbNmmWrr7667bvvvta0adMqEiCrCEQX0HvAxowZY+PGjXPP4en5vk02\n2ST6jJkDAggggEBOAlSQcuJiYgQQSBZ4+eWX3fNGugOkl7zqLpKa240aNcpVlpKn5zcCCNQU\nWLRokR155JH2/vvvu5Hanm688UY799xzrX///jUjMAQBBBBAoGACdNJQMFpmjEDlC8ycOdN1\n0KAXuy5evNiWL1/uPqdNm2annHJK5QOQQwTyJHDzzTfbBx984C4y6ELDkiVLTHeUbr31Vnvr\nrbfytBRmgwACCCAQRoAKUhglpkEAgZQCL730Usrhqih98skn9vPPP6ccz0AEEEgUGD58uOlC\nQ3LQc3kjR45MHsxvBBBAAIECClBBKiAus0ag0gVmz56dNos6sdMzSQQEEMguMG/evJQTrVix\nwqZPn55yHAMRQAABBAojQAWpMK7MFYGqENAD5KmueivzenmsuvAmIIBAdoENN9ww5UTqRn+r\nrbZKOY6BCCCAAAKFEaCCVBhX5opAVQjoBa/bbLONqwzFZ1iVIz1cTk928Sp8RyC9wBVXXOFe\nlBw/Rb169ax58+Z23HHHxQ/mOwIIIIBAgQWoIBUYmNkjUOkCDz30kB100EGu9zrltUWLFnbp\npZdav379Kj3r5A+BvAnoYoO2pdVWW83NU01Ut956a3vmmWesTZs2eVsOM0IAAQQQyC5AN9/Z\njZgCAQQyCOgukXrauuuuu1wPXEF33xmiMAoBBFII7LrrrjZ27NhYs1XdiSUggAACCBRfgDtI\nxTdniQhUpICelejUqVONZkIVmVkyhUABBdq1a+ea1hVwEcwaAQQQQCCDAHeQMuAwCgEEwgn8\n9NNPdscdd9iUKVNsgw02sHPOOccaN25sevml3u/y2WefWefOnd3wNdZYo8ZM1YzoscceMzUr\nUnO9fffdt8Y0tTlA3ZarS/Mvv/zSOnToYHvvvXes2dO4ceNc/nS1f9ttt7W11lqrNpPKsstc\nQC+KVRf5Wp922WUXS7W9lHkWST4CCCBQ8gJUkEq+iEggAqUtcP/999vll18eS+SYMWPsnnvu\nsdtuu809hxTfy92IESPs//2//2d9+/aNTd+zZ0/79NNPY7+ff/5522ijjUzzKYWgLpYPPfRQ\n+/bbb93dMVXi9ED90KFD7dFHH7VRo0aZ7p5puCqEl1xyiZ155pmlkHTSUEYCejmsXq78wgsv\nuPVJSb/sssvsr3/9a8L2UkZZIqkIIIBA2QrQxK5si46EI1D7ApMnT06oHAUpUqXo9NNPjz1L\nEQzXpypTv/zyixuk7/GVo2C6CRMm2EUXXRT8rNXPs846yyZNmuTysnjxYlcJWrhwoR199NH2\n9NNPm95To4qRhq1cudIGDhxob775Zq2mmYWXn4DuwOouZbA+aZ3Sd1XGP/jgg/LLEClGAAEE\nyliAClIZFx5JR6C2BXSXyCfoZFBh5MiRaaM/8cQTaccVa8SMGTPs9ddfd51PJC9TlUBd9U8V\nHnnkkVSDGYZAWoFhw4alvKCgTk+GDx+eNh4jEEAAAQTyL0AFKf+mzBGBqhH47bffvPIaxNNd\nl3RBV9BrO6iClGvQXSTdWSMgkIvA7NmzU06u599Yn1LSMBABBBAomAAVpILRMmMEKl9gyy23\n9MpkEK9jx45p47dv3z7tuGKN6Nq1a+x5kORl6pmjVKF+/fq22WabpRrFMATSCnTv3j3lOD3f\ntummm6Ycx0AEEEAAgcIIUEEqjCtzRaAqBNQZgXqrSxWaNGmSarCbPujE4Jprrkk5jQZeddVV\naccVa4TycMYZZ7gexeKXqUqQXuip5k/xQZUm9T528sknxw/mOwJZBfRy5eT1Sb9VQTr++OOz\nxmcCBBBAAIH8CSQe3fM3X+aEAAJVIKATuJdfftmS7/boDpE6WujRo0eCgt7voumDE8FevXq5\nilDwWxPruzpvOOCAAxLi1taP888/39RRg05Ug7DDDjvYs88+a4MHD7a2bdsGg61bt26mZ6dU\neSIgkIvA7rvvbnfeeae1bt06Fm3ttdd2vSRmutMam5gvCCCAAAJ5E6Cb77xRMiMEqlNAlQL1\nRDd16lTT+5DWW2+92EsuR48ebbNmzXK9cOlkT9MmB3VtrL+PPvrIjQqa3yVPV1u/VWHr37+/\n67pb+VMlL6gU7bPPPqZuyhcsWGD16tWzpk2b1lYyWW4FCOiiQO/evW3atGlufUq+8FABWSQL\nCCCAQFkIUEEqi2IikQiUvoBekKpnb9SxwZIlS2IJbtOmje2xxx6x3+m+6K6MmqipslGKQU0J\n11lnnRpJUwVKw9Wjnd6ZREAgikCwPqlLef0REEAAAQSKL0AFqfjmLBEBBMpQYOzYsfbVV1+5\n5oQ777wzd4vKsAzLIcl6QbJelqwK+XHHHZeyUl4O+SCNCCCAQDkLUEEq59Ij7QggUHCBuXPn\n2jHHHGMffvihew5J3S43a9bMHn74Ydtiiy0KvnwWUB0CeinsLrvsYhMnToxleOjQoe6FxNdf\nf31sGF8QQAABBAovQCcNhTdmCQggUMYC5513no0bN85UMdJ7m9R8UM9VHXHEETZv3rwyzhlJ\nLyWBE044IaFyFKTtoYcech01BL/5RAABBBAovAAVpMIbswQEEChTAb28U73VLV26tEYO9CJb\nNYUiIJAPATWtSxcGDRqUbhTDEUAAAQQKIFDnj7e+ryzAfEt6lnqYOj7ooVgx+FDooXL1XqWr\ny77xNQ81r/AJeh+L4vrGD9Lus2zFVVDefUKUZavM9JdclmHTIXMF3zIL0u4TX8tV2n3LLEyZ\na5psQZ0hNGrUKGGyKOkKyiTKtqDE+JqGcUnIbNKPVHlXV+Wbb7550pT//Sm7yy67zC655BK3\nD9DQctwWlG+Z+7iXw/7Pd1sItvGUhZ9lYLAt5LJ/0vuz0gX1nPjbb7+lG50wvBzKJCHBST+i\nuCuuAtthEur//gyzLaSOyVAEqk8g+1lUBZqoC9X40LJlS9dsRleEcw16kaTeWzF//nz7/fff\nc43uTlB1oqXnHHINOgh36tTJ9XSkK90+oUOHDq5LWZ+46oJWB6Rkz7Dz0kFf6fY5mKnM9ByI\n4qe6up8tDc2bN3fLVZOpXIPKS908q4Lh0+OaToSCtOe6bE3fuXNnl+eZM2emja5psgWdvCWv\nd+pxTs3GcjmxC5Yj0xYtWrgyie/FLhif7VNdZOvkzsdU7yjS+qRt0KfZm04ctE4lmypP6U7Y\nVKGQs9b/VVZZJVIvdnrPje92pDLTA/3qQc+nktOqVatY08FsZZQ8Xuux3LQe+e4/Ze9bZtp/\nablz5sxJTlrsd5htQb3FJW8LmrevqY4JOjZofQq7f9N+Id2+rGvXrqHXj+CYJFPf/ZvvMUnb\nitZlefock7T967jiuy2ozHRc9I2vfYiaz/pcvAqOSYrvu//UuuJTZtr+tR/IdkwKsy3ENhy+\nIFDlAjSxq/IVgOwjgEB6AVXa+vbta8lX93UiqJONPffcM31kxiCQg8Dxxx+fduknATYAAEAA\nSURBVOprrrkm7ThGIIAAAgjkX4AKUv5NmSMCCFSQwBVXXOE6ZNDV7aCJysYbb2wjR46sUXGq\noGyTlSILXH311bbffvslLFV3Q6677jrbeuutE4bzAwEEEECgsAJV2cSusKTMHQEEKklAlaKB\nAwda//79XS9jakLUrVu3SsoieSkRgXvvvdf+9re/2auvvuqa4eoFy0GlvESSSDIQQACBqhCg\nglQVxUwmEUAgqoCeT9AfAYFCCmgdU7NOPcejPwICCCCAQPEFqCAV35wlIoBASAE95K6XZKoH\nrwMOOMAOPPDAkDGLN5keCH/33Xfdlf4NNtjA1LEDAQFfAa3ruoOk59623HJL03NwBAQQQACB\n4gpQQSquN0tDAIGQAnr24vbbb49NrffEXHjhhe6lraVSCdH7aW6++WZ3Mquer9R5g4YlP0sS\nywRfEMggoHX+zjvvNPXKqPVJlaS77rqLzkAymDEKAQQQKIQAnTQUQpV5IoBAJIFx48YlVI6C\nmakb2x122CH4Waufjz/+uKscqWtedTWtrs3VRe9pp51mn332Wa2mjYWXn8DDDz9sd999t6sY\nBeuT1vcTTjjBvvnmm/LLEClGAAEEyliAClIZFx5JR6BSBc4///y0WZs6darXu0LSztBzhK7s\np3rHjXq7u//++z3nSrRqFdCdo1Tvz9H69OCDD1YrC/lGAAEEakWAClKtsLNQBBDIJJDtRY/j\nx4/PFL0o437++eeUy1GladKkSSnHMRCBdAKTJ09OOUqVJtanlDQMRAABBAomQAWpYLTMGAEE\nfAU6deqUMareQ1TboWvXrimToOeQ1l577ZTjGIhAOoEuXbqkHKVuvlmfUtIwEAEEECiYABWk\ngtEyYwQQ8BVQxwfpQufOna1JkybpRhdt+Nlnn+06ZUi1wBNPPDHVYIYhkFZA61O6dx4de+yx\naeMxAgEEEEAg/wJUkPJvyhwRQCCiwGabbWYXXHBBjbm0bNnS3nrrrRrDa2PA/vvvb5dccok7\nqW3UqJHrcaxZs2Y2ePBg23DDDWsjSSyzjAX+8pe/2DnnnOMq3cH6pPV92LBh1r179zLOGUlH\nAAEEyk+gfvklmRQjgEA1CJx77rl20kkn2Y033mh6PuOggw6ynj17llTWTz/9dOvTp4999913\nrqK0zjrr8N6akiqh8krMeeedZ7pb9OWXX7r1SRcKGjduXF6ZILUIIIBABQhQQaqAQiQLCFSq\ngN53dM0115R09tq2bevuGOlh+unTp5d0Wklc6Qu0a9fO9t57b1u8eLH7K/0Uk0IEEECg8gSo\nIFVemZIjBBAoUwH13vfVV19Zhw4dbL311ivTXJDsKALz58+3Tz75xN1BWn/99dM+5xZlGcRF\nAAEEEMgsQAUpsw9jEUAAgYILLF261D1z9cgjj7hnmXQ3at1117UHHnjA1lhjjYIvnwWUhoCe\nX7v22mtt5cqV7oWxujt577332vbbb18aCSQVCCCAQJUI0ElDlRQ02UQAgdIVuOiii+zRRx91\nCVRlSSfIEydOtIMPPphmVqVbbHlN2RNPPGEDBgwwlb8qyCtWrHBNNtV5w48//pjXZTEzBBBA\nAIHMAlSQMvswFgEEECiowO+//2533323OzGOX5BeOKtnmp577rn4wXyvUIFbb73VVObJQZVl\n3UkkIIAAAggUT4AKUvGsWRICCCBQQ+DXX391dwxqjPjfAeohj1D5AunuEumOknq1IyCAAAII\nFE+AClLxrFkSAgggUEOgU6dOVrdu6l1xnTp1rEuXLjXiMKDyBDp27JgyU/Xq1bM111wz5TgG\nIoAAAggURiD1Ubkwy2KuCCCAAAJJAi1atLDDDz/cdc6QNMq9A2efffZJHszvChQ49dRTXc91\nyVlTE7ujjjoqeTC/EUAAAQQKKEAFqYC4zBoBBBAII3DPPffYdttt5+4kNWnSxBo2bGh6H87w\n4cNNFShC5Qv07dvXjj76aNNdQ60DjRo1cn933XWXe89W5QuQQwQQQKB0BOjmu3TKgpQggECV\nCuiFuCNGjHDvv/niiy+sffv2tsMOO7g7SFVKUnXZVsVIXXyfeOKJNmHCBHc3SZXm1q1bV50F\nGUYAAQRqW4AKUm2XAMtHAAEE/ldgs802M/0RqlegW7dubh1YvHgxXbxX72pAzhFAoJYFaGJX\nywWQbvHq3nf8+PE2b968dJMwHAEEKkxA2/3TTz/ttv0KyxrZKZLArFmz7OOPPzZ9EhBAAAEE\n/AS4g+TnVrBYOqidffbZ9vLLL7tlqAejY445xq6++uqUD3EXLCHMGAEEiiagF4P27t3bPvjg\ng9gy9ezR448/bhtvvHFsGF8QSCeg92ldeOGF9uSTT7oXDavJ3oEHHmg33HCDNW3aNF00hiOA\nAAIIpBDgDlIKlNoapN6KjjzySHvjjTdiSdCLAx9++GG74oorYsP4ggAClSWwxx57JFSOlDvd\nPe7Vq5ctWrSosjJLbgoicPrpp9vo0aNd5UgL0PFEv88444yCLI+ZIoAAApUsQAWphEr33Xff\ndU1r9GLA+KDfqiTRZCJehe8IVIbAnDlz7M0330yZGW37N954Y8pxDEQgEPjmm29szJgxlurY\n8cILL9jEiRODSflEAAEEEAghQAUpBFKxJvnqq69SvgdDy1dziUmTJhUrKSwHAQSKJPDhhx9m\nXNKnn36acTwjEVAFSd2CpwqNGze2r7/+OtUohiGAAAIIpBGggpQGpjYGd+rUyVasWJFy0Wpq\np/EEBBCoLIHu3btnzFDnzp0zjmckAh07dqxx9yhQ0V0ljScggAACCIQXoIIU3qrgU+6yyy7W\nrFmzGsupX7++bbXVVta1a9ca4xiAAALlLbDGGmtkvPhx7rnnlncGSX3BBbbcckt3fKhbN/GQ\nrt86bmg8AQEEEEAgvEDi3jR8PKYsgIB6GnrkkUfciwHVXEJNIxo0aGA6gRo8eHABlsgsEUCg\nFATUMYu29+Sg3iv1XhwCApkEVBF66KGHXEW7YcOG1qRJE9OnWh1oeHLFKdO8GIcAAgggYEY3\n3yW2Fmy++eb2/vvv24svvmi//fabrb322rbbbruZuvsmIIBAZQqomZ0epL/jjjtMzyStssoq\ndtZZZ3HXuDKLuyC50jr0zjvvuF5Qp0yZ4ipHO+20U9pnkwqSCGaKAAIIVIgAFaQSLEg1s9P7\nKwgIIFA9ArrK369fv+rJMDnNu4BaHuh9Wq1bt7bZs2fbwoUL874MZogAAghUgwBN7KqhlMkj\nAgiUhYA6Y/n1119NL/0kIIAAAggggEDtCFBBqh13looAAggkCAwZMsTWX3991yHLuuuuayed\ndJK7C5AwET8QQAABBBBAoOACVJAKTswCEEAAgcwCN998sw0YMMAWLFjgJlR3/3oO8bDDDkvb\n9X/mOTIWAQQQQAABBHwFqCD5yhEPAQQQyIPAkiVLTL3VLVu2LGFuen+NXh798ssvJwznBwII\nIIAAAggUVoAKUmF9mTsCCCCQUeCnn35K+zB9nTp1bMKECRnjMxIBBBBAAAEE8itABSm/nswN\nAQQQyElAPY6lC+rZrm3btulGMxwBBBBAAAEECiBABakAqMwSAQQQCCvQrl07966z+vVrvnVB\nzyLtvffeYWfFdAgggAACCCCQBwEqSHlAZBYIIIBAFIFhw4bZaqutZg0bNjRVlPQ+mwYNGti9\n995rHTp0iDJr4iKAAAIIIIBAjgI1L1nmOAMmRwABBBCIJtC5c2d77bXX7N///rd9+eWX1r59\ne9tvv/1MwwkIIIAAAgggUFwBKkjF9WZpCCCAQEoB3T066KCDUo5jIAIIIIAAAggUT6BkK0h6\nk/w777zj3iq/8cYb25ZbbpmgMm/ePHv77bdNn9tuu62tvvrqCeMr4ceMGTNMzyeUalC3xMuX\nLy/V5JEuBBBII6D9a5MmTUy95BHKR0Bdwi9atMhatmxZson+5ZdfrHnz5iWbPiWs1I+tJY1H\n4hCoEoGSfAbp+eefd81LguYm5513nt10002xIvnuu+9s//33t8cee8zGjx9vffv2tffeey82\nvpy/zJ8/33r27GldunSxTTbZxFZddVU77bTTSipL3377rR166KHWrFkzd5K1zz772KefflpS\naSQxCCBQU+CJJ55wF5vWXnttW2uttezCCy+MvZy25tQMKRWBDz/80B0P1lxzTVt//fWtW7du\npufWSimccsop1qlTJ/csnXpm7N69u33yySclk0RdFNCxKv7YqjQTEEAAgVQCJXcHSb02acd/\n6qmnupNwJfqNN96wyy67zA444ADTgX3gwIHWu3dv69evn7sCqulvvfVWGz58eNlfEd1hhx1s\n6tSpsbJauXKlPfXUUzZnzhz75z//GRteW19+++03d5BRRU5pU9BBUBXWF1980dZZZ53aShrL\nRQCBDAL/+te/XIUouOu7ePFiGzFihE2cONFGjx6dISajalPghx9+cMe7YH+rtKjsLrnkEteZ\nR58+fWozeW7ZJ598snt+Lj4hCxcudD0wfvHFF9aqVav4UbXy/U9/+pNNmTIltmx5ar2fNWuW\nPfroo7HhfEEAAQQkUHIVpJkzZ9rWW29te+yxR6yEtthiC/f9119/tTZt2ph2uDo4BM1D9t13\nX7vvvvvs888/t4022igWT1/id4j63bRpU9O7ReKD5qO/5OHx06T7HqQhSvwgru6IxVeO4pep\nB7inT59uHTt2jA0O0hvEj43I8UswnzDR7rnnHvdSS1Vkg6ADjZrbXX/99Xb//fcHg0N9atnx\nB/5Qkf6YKJ/uYZcZTBd4+boH8YPPYL65fPouO3kZqdKgYamGJ8dN/h2USZT4vvkKlu0bP8hv\n8Jmct7C/o8T3jRvkXfHTbUuqFF1zzTU1msQuXbrUdHfilVdesZ133jlsNmPTBcv2dVc837jx\nXvHfY4nL8UuqeWQyzTT7fLroLl+6cr3qqqvsiCOOSEhKPpedMOMMP9TaI1044YQTTHcuw4Qg\n7anKIkz8YJrk+E8++WSNc4Fg2rfeessdd1dZZRU3KDluMF22z/i0+8xD8fXnG1fp842fLW+M\nR6AaBUqugqTem9SkLj68/PLLVq9ePVtvvfVMdzAUdJs8CHpORw84q3KRXEHaaaedgsnc59FH\nH22XX355wjD9UMUpSlCb8CjtwrV87agzhbFjx5oONsmhcePGpj/foGYRYcP7779vOqlKDjoB\n++ijj1wTi+RxmX6rvKOEqM9oRbmy2aJFC9Ofb9AzIL5B63su5ZZqOepOOtU8oqxLWo4uYkQJ\nUUzV7FN/viGVR9h5qVvuKPGjxFUa4y+eJKdZzWLnzp2bPNj91gmZLjoddthhKceHGZjpZbdh\n4kcpM+07o+6/tS2meiFvJtMw+YrSRXuQpwkTJqRdlJ7BTbfeaN8WZf8WLD/twv93xKRJkzJO\nol4Z06UxXcRcp0+eT3L8N998M3mShN9qoh80t4tSZpppOR+TElD4gUCVC5RcBSm5PLTz1btA\njjzySLeT/eyzz1yzAr0nJD7opEq3ypPDXnvtlTBogw02cHdA4gfqxEZ3RIKmJ/Hjsn1XxU0n\nq3p41je+TlBU6chWwdIBXM0W4oMO7Fqulu8T5KjmGmFDphMhlUFy+jLNV8tWutNdHc0UV2Wm\nE3w9sOwTX3EVz6fMVF5Ku8pMd85yDYqv5fuWWZgyD1P5Uv6Ty0vrsvIUf4cwbP6UJ5WL1iff\n+FqWr2ltlokqlfLMZVuKd1V8rcs+QWWm/VByWcbPS9OkC1of9VB9pvjp4kYtc6U72P+lW0a6\n4bpaLjetL6ku2gTxwmwL2g8k578290/xxyRVHtWyIlWQXXK683lMSrXM5GHZjlsqo+Q0Js8j\n+K0y1brqux2pzDSP5G0p03FLy9ZFHaWxNsu8GMekMNtCUBZ8IlDtAiVdQdKD/xdffLF7y3xw\n50QHjlQnUDrApbridfvtt9co48mTJycM0w5eJ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iQqixcvdlM3yF+XLl3CcX/99ddutIs4mN7BHHfMkvsFs7Pjx493m+DijnVXpE0iAiIg\nArlEYPny5W7atFfPUl8ec8wxduyxx9rQoUPtl19+STi7H3zwgfXq1cu1Ka1atXL1PqNAlSpV\nciNDv//+e8Jh+R2+9dZbdt5557lwaUdq1aplGBLizz/l2/PDNLnTTjvNTX1j6l6HDh0snilu\n6vtDDz3UpblBgwY2fPhwL7jwL+3P4MGD3VRADBXhZsuWLeH73gFrkkhXvXr17OKLL7ZPPvnE\nuxX3l3b0pptusiZNmthRRx1ld999t23evDmuPzkQARHILIFtQjb/CzIbRekL/ZtvvimUKBZl\nUpGzm3Zxhcq4atWqtmHDhqQqNaYf8FecRslLIwYUatas6SpsdiyPJXzws3bIUwxYaMof+xph\nvS6WfPTRR273cDby8wt5R4nAyh1CI4siFSnDhg2z7t27R152885RRuDupSvSEWzYpLZatWqF\nblFmNMLeDu3PP/+822CQx9l7pOHDpoPMf/fHwQJc5r4zl5y04x7jE6y/8vZ4wlAFcc+YMSNs\noMJLANerV6/uymzTpk3e5YR/iZ+0xyuzaAGyNox0Bymonh/cxJOgZxbObPobrTxihcm8fKxP\n8VGRzIcRC7T5uEqGKdM+WUewceNGl/5Y6Qy6R3nzTMViGuTPu7b77rs7ZjyPyUiNGjWi7kMW\nLzzKjLUebIDpPfvx/PjvV6lSxdUhyZQZzzHc2Pgz2foT9jxzxRX87bbbbq7e5VmOJom8C5S7\nV4954RA25ZkMU9oE6kc+3ONtOurF5/+FKemJTJPfTbRjr02ifon8mGdtKdPKouWJugllhH3v\n4k13mzt3rp1//vkurMi2wUsbdeXKlSu907i/xPniiy86pYs0Rksnz/sXX3zhwqOMUC68utuL\nhPaNzWjp0IuUAQMGuHYh8vqpp57q1h+RH9ZBtWnTxj3bXtjwOfDAA+25555z7QP+6RREQfLq\nTOKl7aG9xSJfLKGuJA5+/XHQyUiblqhJctxRD/AdEav+TORdiJVe3ROBfCKgEaQ8KO233367\nUAVOlmm0+SBibng8wU1QA0jje9FFFznvjE4FKUfcHDRoUGAUWL0jDK9hCXLEB8KVV14ZdCt8\nDTcogKTR36Byfv/997sPKH8cNETz58+3adOmuTBYPExj7zVQXMQ9aaMhlYiACIhALhCgLvfX\nkZF5og5kxP2uu+6KvFXonDCov2lHgtoGzzF1M4YPEhU+7i+77LIidXmkf5TxW265xV1mNoS/\n7vbckrZLLrnEOw3/oozQaRYktAl0CCKMpqE4+8Pm+OOPPw77p/OOts/fvhAv7vr16xcURaFr\nt912WyHliJv4xVDEww8/XMitTkRABLJLQApSdnmXSGyMjNDbGiQ0BjQYscTrqQtyg2KBPP30\n0+436B8VPtM6/EIDS7poTOLJggULYjpZtmxZkZ5Sv4egBpw0vfzyy84ZeQhKB/4WLlwYeM8f\nvo5FQAREoCwQWLt2bdxkUjcyehFLsOzG6FgiMmfOnEScOTfvvPNOIWUjlkdmACD4iSYrVqwo\ncitWW4Xjxx57zPl55ZVXAtMCn1mzZjk3tB3R2lbazXjW+GiDCC9SuEbHnUQERKDkCEhBKjn2\nilkEREAEREAERCBPCcSbxpinWJRtESgVBKQglYpiyGwiWHzrnwLgj+2ggw5yazf81yKP69at\nG3kpfM4eSMgZZ5zhfoP+MW+bRbB+oWEgXczXjictWrSI6YSFtsy7jybMB48U0sTcb4Q8BKUD\nf0cccUTgvcjwdC4CIiACpZ0ARg7iCXVjkPlrvz/WrbJuLhHB+E6iwlqiaCMykWFgiAfBTzSp\nX79+kVux2iocd+3a1fk58cQTA9MCH4z9ILQd0dpW2k3WscUS4iC8SOFa+/btIy/rXAREIIsE\nin45ZjFyRZUdAiwUxeqcv+FBIWBheyK7luMmSMlAKcESEHLOOec4Cz5BORoyZEjQZWcRiDD8\n6Yp0yCLfESNGRF4udI4b5syTRn+PHOfMT2fxvz8OGh+MNLAgF6EhoqHzN1S4J20YmJCIgAiI\nQC4QoC7315GReaIO3Guvvdyazsh7/nPCwKKbZ5DAf89/TN08cuRI/6WYxxj9uO+++4rU5ZGe\nMEpw4403ususM/XX3Z5b0vbAAw94p+FfjLkEGQ3CAW0CnYbIwIEDnTEef9gcY6TB89+4cWPX\n9vnbF+LFHdbo4sl1113nOigj48BIQ48ePeJ5130REIEMEih3U0gyGH6pDBpLV36hEmcNSrSe\nIL/byGMqNiprFqMGzSWOdB95TsXKH/6LKzRSWA4j3fEsSNHjhQUbLP6gGDF6Q8OCidd4JkXZ\nOK9Tp06GsQesVZFn/LHTOI2NZzWHzWOxEMjca9YYYdnrnnvusdNPPz0wa2xKe/LJJzvLO1ix\nwiIfaSMvMGH0BmtBWIyLFMoMt6SdtUIHHHCAs6JH/ihLdjy/+eab3Ya2xO9ZNyNOLNvdeeed\nrhGGHRzJH5an8I9ihElzGtcgC0ikDTfJlrmnnMYrs8g8e+dYiiOPkRaqvPv84iaeBKWffGG8\nI2jdVrzwKA/KhXQFremK55/nirJI5j2CKYowaU/GGhvKtJf2eOkMus97CLN471KQX67xYei9\nR9HcRLtOmfFMRtZr0dxHXqf+4j1Ipsy8MudZTrb+hH2yZQY3npdY9Wci70LQM0vYyZYnTHme\nKdNYRhEiy8I799qkZMrEa5OCyoQ2gI1ZFy1a5Kxo8tygEDHSQV1OR9fo0aNdnRuLKemsE9qK\nwbPARvnhH16kmfe4UaNGzhoe72aigj/aFvyyfod3inLwP9soMBhH8IT3vlu3boaFPupv4mNW\nwTPPPOPS6Lnz/zJyg9W3JUuWuOcHq4EYk6BNhBtlRryMUsEBK4m0Z1g7veOOOwpZl6OtwPIf\nBh0odzrfRo0a5dLgjzPomLQTB/ywQEccKF+0T7zXiUqibVIi70KiccqdCOQ6AZn5DpUwlSMV\nVDIfrFRiZcHMd7QHmYYx3kLSaH5RnGiM1q1bF81JzOs0qJiiTeYjgDKjAaNBTOaDmg9a4o2l\nZERLPB8vMvNdlI7MfP/pnseiZOJfkZlvmfn2PyWZMvPtjyPaMfUbf8lsPUF7wLNMvZrMNgYo\nSLQrybZJtGco3Km0SXQCJtNB5LVJpD2ZzoJU2iQUM5n5jvZE67oIJEdAU+yS4yZfIiACIiAC\nIiACIiACIiACOUgg2PZzDmZUWSqdBNg7iakNmGNlug5TDuh5ZJoI0wBZW8S1RIT9KZgWh+ly\ndolnyh/T9CQiIAIiIAL5SQBz2exVxMgOBh2YYo2xCraeGDNmjH3yySduKl7Pnj3d1Or8pKRc\ni4AIRBKQghRJROdZI8D+RseFjCN4c/SZv+6fljF9+nRjDw3mlsdTknDH/HDCYuocc8tZv8RG\nfOedd17W8qSIREAEREAESgcB1qGiBHlT5j744AN7/PHH3QbgN/3f8mvai6VLl9qzzz5rDz74\noFsXWzpSr1SIgAiUJAFNsStJ+nkeN4tTPeUoGgqMN8TbkZz53pdffnmhheaEy98NN9yQ9Hz2\naGnSdREQAREQgdJNAKWHGQWeckRqWa9KR9zgwYNdR5q3/hU3tBdYPWUNkkQEREAEpCDpGSgR\nAjRIie7EPm/evJhpXLZsmbMyFOQI6z7z588PuqVrIiACIiACOUrglVdecVO1I7OHIuRXmvz3\nMRKBdVaJCIiACEhB0jNQIgSiNVBBiYlnEYheQRq2IOF6PP9B/nRNBERABESg7BLAMi3KUHEl\nGauoxY1D7kVABEo/ASlIpb+McjKFjOwkuidDrJ3SgcOeFxh4CBJMt7do0SLolq6JgAiIgAjk\nKIFWrVpFHSmKlmWUKhn2iUZH10UgvwhIQcqv8i5VuWVTvniCIjVixIiYztiL6pZbbnH7X/gd\nsifHZZdd5iza+a/rWAREQAREILcJoCCxkS0WUT1hRgHtQq9evQLbi3/+859uQ3XPvX5FQATy\nl4AUpPwt+xLP+VlnnWUTJkxwu7jTcLHBnzcSxHH9+vXd+iF2F48n5557rgurcePGbuNe/LIb\nOUYaJCIgAiIgAvlHYOzYsXb99dfbvvvu69oFlCasm2Ldbty4cdaoUSN3/eCDD3YdcTfeeGP+\nQVKORUAEAgnIzHcgFl3MFoF27drZiSeemJboWrdubfxJREAEREAERIDRIizT8RcptD38SURA\nBEQgiIBGkIKo6JoIiIAIiIAIiIAIiIAIiEBeEtAIUl4We25mevHixW5/i6+++spq1Khh11xz\njZ100klu34uJEyfaW2+95QxDdO7c2fhLVD799FN79NFHbeXKlXbAAQdY7969rXr16ol6lzsR\nEAERyHkCv/zyi02aNMnef/99N22tY8eOdvTRRyeV71WrVtkjjzxi1L1MsWYd0Zo1a9z6IKZT\nH3bYYUmFu3z5cpdG2ogGDRpY9+7drVatWlHDwmjDk08+aXPnzrUKFSq49oR8MSX81VdfdZvL\nslffkUceaX369LFKlSpFDUs3REAEyhYBKUhlq7yU2igEaEwHDhwYvvvjjz9az549rVu3bvba\na6/ZunXrjMaOhm3q1KnWo0cPu+OOO8Luox3MmDHDLrnkEucPc+GExdz1WbNmGeudJCIgAiKQ\n7wTWrl1rJ598sttklXqWNaQoSxjJ8dfLiXCaPXu2oYQgkSa3mTJHZ9ett95qF1xwQSLBhd08\n88wzdsUVV7i0eXX5gw8+aE899ZQFWUplQ1k60lDSyBPy/PPPu/Zj1113tccff9xZycOU+Jw5\nc+zhhx+2RYsWhePTgQiIQNkmoCl2Zbv8lPoQARo7rA8FCY30N998E27gaMzYPf2hhx4yGuJY\nQs/gP/7xD+fe20uJBpvGEgMTkY13rLB0TwREQARylcB1111ndEp5igT73PF377332jvvvJNw\ntvHPCBF1a1D9St1NHU59v3r16oTDJW39+/d3afLX5Vu2bLGLL744cL8kjPx88skn4TwRGX5f\neuklp/x5aeE66f7666+tX79+nEpEQARygEBejiAxVO4XeqUwJx153e8m2jH+kGT9M3WA+JOJ\nm9EQJFn/+CWMZOLGL72ESLL+iRurdcXZNNZFGPpHnhH4TZkyJWYYXoPoPPj+0Rt43HHH+a4U\nPmQKRbS0/fzzz7Z06VJnBamwr/hnPCuwS5YbMaTqnzCCyp5wKROPL+4SFe9doEy8ZzNRv7jD\nf1CaEgnDizvZdwF/ycbtpS8V/6n49b+HyWyMSd5TKTOv7JJ5nim3VMqMuNPxLgSFQZl4VjW9\nMk701yuTVOo3yiQZ8d4FfpMpE+ItTpmgyDAFLaiuJBwUipYtWyaUFZQppurFE7gyasN0Z79Q\nZkhkvt94441we+V3z/G3335rn3/+uWHJjnIjbN6jZ599NlBJC8on4cCBUar77rsv6foz2Xog\n1TIn/RIREIHCBKQghXhQiSNeo+ZOEvznr5gS9FLIGXEXpzHye/Yag6DG3e8u1nGyFTJh4jcV\n//7GKFYag+55ZUZjtmnTpiAnMa/RyOEvsiH1e6JXMNozwXU2oY3l3x+W/xi/yZa5Fw5hJBO3\n55/foLIj3FQ+6gjX+8DiuDjivUvJ5It0I8lyhUWqTIN4Fif/yeSb8L28U27JCP6TLTPvPcS/\nl47ipIEyT5Yb/pBky9yfTsIgD35JNl2E4XHxPrb94SZy7PlPlilxkB+PUSJxem6Im79En0c6\noKIpDYyybN26tVhhEXe0Ti0vjfyikESmkfwGlRtuo7GAsReW5xcFifq9uEKbAXevLiuOf/JN\nWqKlM1ZY+EWIN5JJLH+6JwIiEJ1AXipIkT1UlStXdkPkyVSIbFJKhYRf5iwXV/DLX2SaEgmH\nyrRixYquck/GP3EkGzd+afypmJONm4Zk48aNbgob4RVHKDP8o+QkYyactLOwNlba6VGM9kzw\nQcAi31j+o+WHdLOYNxm/hIlfPiBi+U9ksTB5gL9fqlWr5q4l8oHi98fxTjvt5J4J3gM+FIor\nPMt8HCSj8FKevIvEy9TI4gofFqk8y6QdnrHKJFaadthhh6T9Umakn3wnM4JUpUoVY6pRMmXG\nc0Ydgv9o70qsfFNmXtpjuQu6h79E6r9E3gU+kPmQ9wv5SpZp1apVXb5Sqd9IT2Sa/OmLduy1\nSZQJf8UV8l3cdmG//fZzozCRcVFGhx9+eMLPNkZwUKriCc9qw4YNi4RLumkXI9/DQw89NOrz\nSRr32Wcf54e6mTLnXT7iiCPc6FdkejxlJPI6dVfTpk1d/ZVs/UmYyZQZ9Qd/vIOx6s9E3oV4\n7HVfBPKFgNYg5UtJ53A+sVgXbT+Lvfbay32o+HvlaATr1q3r5rrHwrL33nvbRRdd5Pz73dGg\nstEgH6YSERABEch3AkOHDg2PmnksqGfpRPIMLnjXY/1iHZTNWqljownhtm3b1po1axbNSZHr\nKF5nn312kVFClJ1BgwY5RTvSE5uMe52A3j3ShYEGFCrS4QntC2GNHDnSu6RfERCBMk5AClIZ\nL0Al//8TwOgCJlu9hpVeRBrRBQsW2PTp011jSoPGyBMGFl5++WXXSxqPH4rQv/71L9tzzz1d\nA0jDePfddxfbMlO8eHRfBERABMoqgVatWtnkyZOd+W3qWUbQqI+ffvrpIopTvDxigOG2226z\n2rVrO78oTXSCecoJlujGjBkTL5gi97Faev3111vNmjVduHSS3XPPPa4TrIjj0AVGxWbOnGnk\nDUWJ0cpTTjnFWTDFuintyM477+wUJZQ11qw2b948KChdEwERKIMEonfTlMHMKMn5TWDYsGHG\nX6SwZ8a0adMKXWY6WOQUiUIO/u+EnsFevXq5P+8+0zgkIiACIiAC/yPQokULpzygzDBNbP36\n9f+7WcwjLNnxl06h06xv377uL9Fw999/f2fOO8j97bffbvx5QuebRAREIHcIaAQpd8pSOREB\nERABERABERABERABEUiRgEaQUgQo7yIgAiIgAiIgAqWfAHsnMRWQPYsYHWJdUrrXkhLHE088\nYWvWrLF69eq5OJgmKBEBEShbBKQgla3yUmpFQAREQAREQASKSYB1p0yXZto0VvCYKj1ixAi3\nd1H9+vWLGVqw8xdffNE6d+5cKI7hw4e7OLCKKhEBESg7BDTFruyUlVIqAiIgAiIgAiJQTAIb\nNmywSy+91G2J4Zmzx4Q6Jr179uxZzNCCnWNavEuXLkXiwNQ7cSRjgj84Jl0VARHIBgEpSNmg\nrDhEQAREQAREQARKhMDcuXMDN7Nlv6NVq1bZxx9/nHK6sGIXZPgHxYhpdytWrEg5DgUgAiKQ\nPQJSkLLHWjGJgAiIgAiIgAhkmQAjRVixC5KgjWWD3MW7xghStDhS2YQ6Xry6LwIikBkCwTVG\nZuJSqCIgAiIgAiIgAiKQVQKNGjUyptQFCUpNOtYgNWnSxH777begKNz0OjbNlYiACJQdAlKQ\nyk5ZKaUiIAIiIAIiIALFJHDooYda+/bt3aaufq9sPtuvXz9jX7xU5ZBDDrEzzzwzMI6rrrrK\nbVKeahzyLwIikD0CUpCyx1oxiYAIiIAIiIAIlACBUaNGWe/eva1ixYoudkxv//vf/zaUl3TJ\nxIkTrU+fPlapUiUXJCbEBw8ebFdffXW6olA4IiACWSIgM99ZAq1oREAEREAEREAESobA9ttv\nbzfeeKP727x5c1hRSmdqvDgGDBhgmYojnelVWCIgAtEJaAQpOhvdEQEREAEREAERyDEC3ihS\nJrOVjTgymX6FLQL5TkAKUr4/Acq/CIiACIiACIiACIiACIhAmIAUpDAKHYiACIiACIiACIiA\nCIiACOQ7ASlI+f4EKP8iIAIiIAIiIAIiIAIiIAJhAlKQwih0IAIiIAIiIAIiIAIiIAIikO8E\npCDl+xOg/IuACIiACIiACIiACIiACIQJSEEKo9CBCIiACIiACIiACIiACIhAvhOQgpTvT4Dy\nLwIiIAIiIAIiIAIiIAIiECYgBSmMQgciIAIiIAIiIAIiIAIiIAL5TkAKUr4/Acq/CIiACIiA\nCIiACIiACIhAmIAUpDAKHYiACIiACIiACIiACIiACOQ7ASlI+f4ElLL8jx492lq3bm3t2rWz\nKVOmlLLUKTkiIAIiIALZJPDnn3/a8OHDrXv37nbdddfZ119/nc3oFZcIiECeEtguT/OtbJdC\nAvXr17cNGzaEU3bFFVe4hvH1118PX9OBCIiACIhAfhD47LPPrG3btvbbb7+FMzxx4kQbMmSI\n9ezZM3xNByIgAiKQbgIaQUo3UYWXFIGTTz65kHLkBfLFF19Yv379vFP9ioAIiIAI5AmBU089\ntZBy5GV70KBBtnr1au9UvyIgAiKQdgJSkNKOVAEmQ+C9996L6m3q1KlR7+mGCIiACIhA7hFg\n9Oinn36KmjGm3UlEQAREIFMEpCBliqzCTRuBP/74I21hKSAREAEREIHSTwAFKZasXbs21m3d\nEwEREIGUCEhBSgmfPKeLQLly5aIGtdNOO0W9pxsiIAIiIAK5R6BZs2YxM9WoUaOY93VTBERA\nBFIhIAUpFXrymzYCPXr0iBrW4MGDo97TDREQAREQgdwjsMsuu1iTJk0CM7b99ttb//79A+/p\nogiIgAikg4AUpHRQVBgpE8AqUfv27YuE07t3b+vatWuR67ogAiIgAiKQ2wRYf3r44YcXymSV\nKlVs1qxZVr58+ULXdSICIiAC6SQgM9/ppKmwUiIwfvx427Jliz3xxBNWoUIFKUYp0ZRnERAB\nESjbBLbbbjt74YUX7LvvvrMFCxZYvXr1rEGDBmU7U0q9CIhAmSAgBalMFFP+JHLHHXe0Cy+8\nMH8yrJyKgAiIgAjEJFCjRg3r1KlTTDe6KQIiIALpJKApdumkqbBEQAREQAREQAREQAREQATK\nNAEpSGW6+JR4ERABERABERABERABERCBdBKQgpROmgpLBERABERABERABERABESgTBOQglSm\ni0+JFwEREAEREAEREAEREAERSCcBKUjppKmwREAEREAEREAEREAEREAEyjQBKUhluviUeBEQ\nAREQAREQAREQAREQgXQSkIKUTpoKSwREQAREQAREQAREQAREoEwTkIJUpotPiRcBERABERAB\nERABERABEUgnASlI6aSpsERABERABERABERABERABMo0ASlIZbr4lHgREAEREAEREAEREAER\nEIF0EtimICTpDDDfwlq+fLnNmjXLTjjhBGvYsGFWs79x40YbO3as7b///taxY8esxk1kEyZM\nMNLQt2/frMc9d+5ce++996xr165Ws2bNrMb/+eef2/Tp061Vq1bWrFmzrMb9559/2j333GN7\n7723nXHGGVmNO15kb775pi1cuNDOPPNMq127djznab2/Zs0amzx5sjVv3tyOOuqotIadSGAj\nR460XXfd1T2PibhPp5tp06bZypUr3XtYoUKFdAYdN6x33nnHXnvtNVf/UA9lU3744Qd79NFH\n7dBDD7UTTzwxm1HHjWvGjBn28ccfW8+ePa1y5cpx3afTwQcffGAvv/yytWnTxg455JB0Bh03\nrF9++cXGjRtnBx54oHXo0CGu+3Q7eOihh2zr1q126aWXpjvouOHNnj3blixZYuedd57ttttu\ncd2n08Fnn31mzz33nB199NHWtGnTdAatsEQgbwloBCnFoqcRHD16tKEoZVs2bdrk4kZBKwl5\n/PHHXWNYEnHPnz/f5f27777LevRffvmli/vdd9/NetwoSDxvKGilTRYtWuTStnr16qwnbe3a\ntS7uBQsWZD1uIqRMpkyZUiJxv/DCCy5+PgyzLXwQknc6DbItKEjEPW/evGxHHTc+FBTS9uuv\nv8Z1m24HK1ascHHzm20hv+Sb/JeEPPbYY4aSVBJCRwF557nMtnzxxRcubt5HiQiIQHoISEFK\nD0eFIgIiIAIiIAIiIAIiIAIikAMEpCDlQCEqCyIgAiIgAiIgAiIgAiIgAukhIAUpPRwVigiI\ngAiIgAiIgAiIgAiIQA4QkJGGFAuRNSHM/Wdx9HbbbZdiaMXzjn2NzZs3u3izvTiblG7ZssVI\nQ8WKFYuX8DS4/v333+2PP/6wHXfc0bbdNrt6/l9//WW//fablS9f3rbffvs05KZ4QbD2jGet\nJMo8Vkq9Mtlhhx2sXLlysZym/d7ff//tnkfKg3LJtvAe8hyS92wL9Q/1UKVKlbIdtXsHKfd8\nLPNYsL13gbpxm222ieU07fdKQ5tUUu+h2qSSaZPS/hArQBEoBQSkIJWCQlASREAEREAEREAE\nREAEREAESgeB7Ha9l448KxUiIAIiIAIiIAIiIAIiIAIiEEhAClIgFl0UAREQAREQAREQAREQ\nARHIRwLZXTSTY4RZ97Bs2TJ7//333Walxx9/fFbXhbD3CPu+1KpVy4444gi3HifbiBcvXmzr\n16/P2kaN7LPx1ltvFckm7LOxHogyJ37Ys0Flo0aNsrIGaunSpfbNN98UyTcX2LC2JNaf+BPD\nGhw2imU/IjanbNy4sf92Ro9Zc/H2228be4FQJtnesNnLnN6F7LwL7LHDexgpO+20U4lsEhyZ\nDr0LZtl+F9golfffL9WrV8/apqm0gdR/bJTLZq20ydmQ0v4uZIOB4hCBTBHQGqQkybIZXK9e\nvZxCxEcyH8000A888EBWdk6/6aabjF3sW7ZsaXw8sxj4rrvusipVqiSZo+J7W7dunV1wwQVO\nSbjtttuKH0ASPl5//XW78cYbbddddy3km80Bd95550LX0n2CUYiBAwfaypUrrVmzZk45rVq1\nqo0fPz7jStLIkSONjQj9grLIxxgblNasWdN/K6vHM2fOtNtvv90pJzyHfCh07NjRrrnmmoyn\ngw+T7t27u+ehbt26xgbCp5xyil1++eUZj9sfgd6FBZatd6Fr166GEQS/UB8feOCBrv71X8/2\nsd4Fs5J4F4YMGWK0Df42gM6SwYMHZ/wRoLOMum6PPfZw9TAbF59//vl24YUXZjzu0vwuZDzz\nikAEMk0gZIVMkgSBUaNGFfTp0yfsM/ShWtCpm1yrAAAPNUlEQVS+ffuCMWPGhK9l6iCkEBUc\ne+yxBaHeehdFyIpVQYcOHQoef/zxTEVZJNyQJbeCyy67zOX5uuuuK3I/UxdCykhB3759MxV8\nzHCff/75gtCHf8H333/v3IUs2bnzl156Kaa/TNwMWbIr6NKlS8E999yTieATDpPn4Jxzzil4\n6qmnwn5CHwgFoVGtgk8//TR8LVMHIcWx4OKLLw4HH+qocHF/++234WuZPtC7UFBQku9CqKPI\n1YdLlizJdFHHDF/vQkFBSb0L5513XsHkyZNjlk+mbl599dUFoY6zcPDUQW3bti0IjSaFr2Xr\noLS8C9nKr+IRgUwS0BS7JDVQesrpufYEc9MHHXSQm2LkXcvUL6MnjNjQY4Vg8rly5cr2008/\nZSrKIuGGlDFnvrZ169ZG7222JPTR7XqKsxWfP56pU6famWeeGR69wsw2I1clYdr5/vvvd1Mq\nQ8qBP4lZP+aZYzStTZs24bgPP/xwd8x0u3r16oWvZ+Ig1FFgoc6BcNDVqlVzxz///HPWRtX0\nLpgbSS+Jd4ER1KFDhxo96SU1tdJ7+PQumJXEu4CZ+6+++qpE2gXquIULF9qkSZO8x8BNd8/3\ndyEMQwciUIYJSEFKsvD8yhFB0Di+9957FhpVSTLExL2hGHnKEXOvZ8yYYRs2bLB27dolHkgK\nLj/++GPXED744IM2ceLEFEIqvlcUJBSTAQMG2EcffWT169d306myMeebRnjPPfe0Rx55xN59\n913jYzzUc5lxJSCSEs/Zs88+a+PGjSuRPX/86UFZ79+/v/+Svfrqq24fJKY8ZVq8j2I+klgL\nSNlw7YADDsh01C58vQsl+y6MHj3a1QcXXXRRVso7ViR6F0qmXWDKM2vSWI87fPhw27hxo7Em\nlSlumd4rbvXq1a6uY68rphmvWrXKGjRoYD169MjKmlj/81ia3gV/unQsAmWVgKzYpaHkmA/P\nmqB99tnHTj311DSEmFgQoaleTiELTS0wetJr166dmMcUXPEhynxvFMHdd989hZCK75U1N6Gp\nU27EqlOnTm4NGIYLSAuNYiaFnmo2IeQDnA9xDCOQlksuucS+/PLLTEZdJOwnn3zSGUHIlhJQ\nJAExLjAfn3V43bp1y9oIDsmZPn26DRo0yD788EM7++yzM74mjDj1LpTsu0B98MILL7hR3Wxv\n0k35xxO9C/EIpec+nWYI7yNtwQknnOA6kO688870RBAjFGZPMIPg2muvdTMqmjRpYqEp13bV\nVVcFGhKJEVRKt0r7u5BS5uRZBEqKQCbn7+VD2KGRG7cmhjnQ3tqUbOebtR6hEa2CUCWd8ahD\njU7BDTfcEI4n1GtWkK01SKFewoKQQlQQagjD8Yc+Qtyak2nTpoWvZeKA+eSsqwkpROHgSc9p\np51W8J///Cd8LdMHPGPHHHNMwdy5czMdVbHDZw3ISSedVPDf//7XrUUodgApeggZ0SiYPXt2\nQciKVMGLL76YYmjxvetdKNl3IWScxK31YD1eaRO9C9lrF1j/5q3H9Z6D0OwGV1/TPmdSaHdo\nF0KdVuFoWCPMtZCxmvC1TB+U5nch03lX+CKQKQIaQUpBM6X3KGQwwDAzfO+994bXpqQQZFJe\nWedx1lln2aJFiyz0sZBUGIl4wjoR63BY33H99de7P6Y1rFixwh1jUSyTwjQGRq3Kly8fjgbL\nZbvttltUE9hhhykeYB2J6RrHHXdcOCTSc+SRR9qaNWvC1zJ9QI/5LrvsUirMGfvzigWpfv36\nWefOnV1v6rbbZr9qYRSBqTXNmze3OXPm+JOX9mO9CyX/Ljz33HMWUsidBc+0F3AKAepduN5N\nd8tWu0C97E0594qtRYsW7pBR/kwKbQ/CDA5P2OaANcHZbBdK67vgMdGvCJRFAtn/iimLlALS\nzAcSyhHT2jDBnE3z2kyx4mPULyhGzMPmoz1TgiEKTJuz5xLzrPljHQ7mzTnO9D5ETGXDrDjz\nvj1hih1TDbOxBmnfffd10+q8uPll7w2mVmZLWBDM9L7SNKUIZeRf//qXXXHFFW7KYbZYEA9T\nWZhi6hemW4Z6lPyX0n6sd6Fk34Uff/zR7UXm/zBNeyEnEaDehey3C2xzQIedX0IjeK4tjFSc\n/G7ScVynTh0XjF8Roz1iPyTvXjriiRVGaX0XYqVZ90SgLBCQkYYkS4n5zSGTphYyteyMBXjB\n0HPEh3QmhVGMkJlx83qNWHfx9NNPu9ENrOtlSsgbCopfaAz4i7zud5OuYxoc5nuzGJV9J0JT\nKwxrbihpzDvPtJx77rkWmk7nFBQstWGMYPny5ZbNBeIoiX6LcZnOc7zwaZyHDRvmnj3Khw8T\nT+g8YLPGTMpRRx3lLEixMe1ee+1l7EPD+3DzzTdnMlrXQxz5zOtdyN67wHuAZLqudZEk+E/v\nwv9AZfNdYC9AZnBguObkk092dRDHoW03Cu2L9L/Upe8Ioz20xyNGjHBGGui4wnhOjRo17OCD\nD05fRDFCKo3vQozk6pYIlBkCUpCSKCpMe7IxLHLllVcWCoHRlTvuuKPQtXSfsCko8TJyhdUe\njETw0RxpTSzd8ZaG8Bg54+M3tPbHJYcpdjSOmVQMvXxj0vy7775zm8UyQsEoAswxc50NYWoj\ni3HJc2mR0Foft1ktO7rz5xcsDfLBkknBWMeyZcuc1SimXvKBwjPCVLtcl3x+F/gopGOEzWlL\ni+hdKJmSQEnBOAPtAG0iHZdYdM1Wexhag+tMzZ9xxhnOoh2zGehAzUabBPHS+C6UzJOgWEUg\nvQS2YXFTeoNUaNkiwNonhvZZk8LHej4J67+Y0pfNqY0eXxpg4qeXMJNTGr349BufANPqmNZC\n50G5cuXie8ghF3oXcqgw05CVfH0XaA/pwMLcun+dahqQJhQElk6Z1ZDpUfOEEiNHIiACKROQ\ngpQyQgUgAiIgAiIgAiIgAiIgAiKQKwS2zZWMKB8iIAIiIAIiIAIiIAIiIAIikCoBKUipEpR/\nERABERABERABERABERCBnCEgBSlnilIZEQEREAEREAEREAEREAERSJWAFKRUCcq/CIiACIiA\nCIiACIiACIhAzhCQgpQzRamMiIAIiIAIiIAIiIAIiIAIpEpAClKqBOVfBERABERABERABERA\nBEQgZwhIQcqZolRGREAERCD/CGzdutVWrVplmzZtCmee/eHY0DsTQriELxEBERABEchdAlKQ\ncrdslTMREAERyHkCixcvtjp16tiUKVPCeT311FOtbdu24fN0HrRr184IXyICIiACIpC7BLbL\n3awpZyIgAiIgAvlIoHnz5vbbb7/lY9aVZxEQAREQgTQQkIKUBogKQgREQAREoPQQGDlyZOlJ\njFIiAiIgAiJQ5ghIQSpzRaYEi4AIiED+Epg/f7698MIL9s0339gJJ5xgdevWLQJj7Nix9vvv\nv9tll13m7v399982depUmzlzpv300092wAEHWIcOHezoo48O+x0zZoxVqVLFjjjiCBs/frx9\n+umndswxx1inTp2sVq1aYXc6EAEREAERyH0CWoOU+2WsHIqACIhAThC4/fbbndKCorNx40br\n37+/XXnllUXyNm7cOBs1alT4er9+/axLly62cOFC23bbbW3ChAl27LHH2t133x128+CDD9rQ\noUOtZcuWNmfOHKtUqZINGTLEGjZsaCtXrgy704EIiIAIiEDuE5CClPtlrByKgAiIQJknwMjR\nwIEDrW/fvvbee+/Z008/bcuWLbP169fHzNuvv/5q9913n/Xp08eWLl1qkydPttWrV9shhxxi\nt912m/31119h/0uWLLFu3boZcaEwEQ+K0umnn24FBQVhdzoQAREQARHIbQJSkHK7fJU7ERAB\nEcgJAtOmTbNy5cq5UZ1tttnG5WmPPfawAQMGxM0fo0Yffvihm5aHY87nzZtnX375pQvTC6Ba\ntWp20003eadWs2ZNY/Tp/ffft88//zx8XQciIAIiIAK5TUAKUm6Xr3InAiIgAjlBgNGdvfba\ny6pXr14oP02aNCl0Hnmy8847OyUHhYi1RE2bNrVBgwbZF198YTvssEMh5wcffLAbMfJfZIod\nwmiSRAREQAREID8ISEHKj3JWLkVABESgTBP48ccfbaeddiqSh0iFqYiD0AWm0s2YMcO6du1q\nX331ld1yyy1OUbrgggvszz//DHupWrVq+Ng7qFixojvcsGGDd0m/IiACIiACOU5AClKOF7Cy\nJwIiIAK5QOCwww5zyk1kXtauXRt5qcg564zYOHbixIm2bt06W7RokTP2gLEGRpY8WbNmjXcY\n/l21apU7bty4cfiaDkRABERABHKbgBSk3C5f5U4EREAEcoIA5rcxyDB9+vRC+XnyyScLnUee\nsH4IQwuexTrWLzVr1swuv/xy5/Tbb78Ne8GIw4oVK8LnHKBE7bjjjs6oQ6EbOhEBERABEchZ\nAtoHKWeLVhkTAREQgdwhcNFFF9mkSZOMXzaCbdSokWG4gT2PYgkjT+yXNGzYMGeQoXXr1rZ8\n+XK79dZb3ZS9k046Keyd/ZI6d+7swscAxAMPPOD2TiLe8uXLh93pQAREQAREILcJSEHK7fJV\n7kRABEQgJwigoLDZa8+ePa1Xr162ZcsW23PPPe2RRx6xs846K2YeGT3q3r272zcJh4wioWAt\nWLCgkNGHBg0aWJs2beyUU05xa5PYhBZl7Nxzz40Zvm6KgAiIgAjkFoFtQns7aHOH3CpT5UYE\nREAEcpoAyhFrj/bbb79i5fOHH35wpr7r1KljWLfzS/PmzW3r1q2GtbzNmzcbU+9QkCQiIAIi\nIAL5R0AKUv6VuXIsAiIgAiIQQcCvIEXc0qkIiIAIiECeEZCRhjwrcGVXBERABERABERABERA\nBEQgOgGtQYrORndEQAREQATyhED79u0L7YmUJ9lWNkVABERABAIIaIpdABRdEgEREAEREAER\nEAEREAERyE8CmmKXn+WuXIuACIiACIiACIiACIiACAQQkIIUAEWXREAEREAEREAEREAEREAE\n8pOAFKT8LHflWgREQAREQAREQAREQAREIICAFKQAKLokAiIgAiIgAiIgAiIgAiKQnwSkIOVn\nuSvXIiACIiACIiACIiACIiACAQSkIAVA0SUREAEREAEREAEREAEREIH8JCAFKT/LXbkWAREQ\nAREQAREQAREQAREIICAFKQCKLomACIiACIiACIiACIiACOQngf8H2OtDZMgERz4AAAAASUVO\nRK5CYII=",
"text/plain": [
"plot without title"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy)) + facet_wrap(~ class, nrow = 2)"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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wACCCCAAAIIIIAAAn4BOkh+Dd4jgAACCCCAAAIIIIBARQvQQaro6qfwCCCAAAII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Q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\nsWPHVvtxAAEIQAAC3xFAQaIlQA
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