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285 lines
1.1 MiB
285 lines
1.1 MiB
9 years ago
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<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
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<meta name="generator" content="pandoc" />
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<title>statebins</title>
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pre:not([class]) {
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background-color: white;
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</style>
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<script type="text/javascript">
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if (window.hljs && document.readyState && document.readyState === "complete") {
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window.setTimeout(function() {
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</script>
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.main-container {
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max-width: 940px;
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margin-left: auto;
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margin-right: auto;
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code {
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color: inherit;
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background-color: rgba(0, 0, 0, 0.04);
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max-width:100%;
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height: auto;
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<div id="header">
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<h1 class="title">statebins</h1>
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</div>
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<!-- output: html_document -->
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<p>statebins - U.S. State Cartogram Heatmaps in R; an alternative to choropleth maps for USA States</p>
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<p>The following functions are implemented:</p>
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<ul>
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<li><code>statebins</code> - creates “statebin” charts in the style of <a href="http://bit.ly/statebins" class="uri">http://bit.ly/statebins</a> - This version uses discrete <code>RColorBrewer</code> scales, binned by the “breaks” parameter.</li>
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<li><code>statebins_continuous</code> - creates “statebin” charts in the style of <a href="http://bit.ly/statebins" class="uri">http://bit.ly/statebins</a> - This version uses a continuous scale based on <code>RColorBrewer</code> scales (passing in a 6 element <code>RColorBrewer</code> palette to <code>scale_fill_gradientn</code>).</li>
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<li><code>statebins_manual</code> - creates “statebin” charts using manually specified colors in a column</li>
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</ul>
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<div id="todo" class="section level3">
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<h3>TODO</h3>
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<ul>
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<li>The current version is usable, but I think the plot margins and the legends need work</li>
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<li>Apply algorithm to switch to light-on-dark depending on the background tile color</li>
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</ul>
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</div>
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<div id="news" class="section level3">
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<h3>News</h3>
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<ul>
|
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<li>Version <code>1.2.1</code> released - Added support for <code>PR</code>/<code>Puerto Rico</code>[<a href="https://github.com/hrbrmstr/statebins/issues/2">1</a>] and fixed a bug[<a href="https://github.com/hrbrmstr/statebins/issues/3">2</a>] when using anything but a <code>data.frame</code> as input. Also no longer fails (deals with the following but with a warning) when duplicate states are in the input data or invalid states are in the input data.</li>
|
||
|
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<li>Version <code>1.1.0</code> released - <code>statebins_manual()</code> for manual placement of colors and moving of AK in support of a <a href="https://github.com/hrbrmstr/statebins/pull/1">pull request</a> by <a href="https://github.com/hansthompson">hansthompson</a></li>
|
||
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<li>Version <code>1.0.0</code> released</li>
|
||
|
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</ul>
|
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</div>
|
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<div id="installation" class="section level3">
|
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|
|
<h3>Installation</h3>
|
||
|
|
<pre class="r"><code>devtools::install_github("hrbrmstr/statebins")</code></pre>
|
||
|
|
</div>
|
||
|
|
<div id="usage" class="section level3">
|
||
|
|
<h3>Usage</h3>
|
||
|
|
<p>All of the following examples use the <a href="http://www.washingtonpost.com/wp-srv/special/business/states-most-threatened-by-trade/states.csv?cache=1">WaPo data</a>. It looks like the columns they use are scaled data and I didn’t take the time to figure out what they did, so the final figure just mimics their output (including the non-annotated legend).</p>
|
||
|
|
<pre class="r"><code>library(statebins)
|
||
|
|
|
||
|
|
# current verison
|
||
|
|
packageVersion("statebins")</code></pre>
|
||
|
|
<pre><code>## [1] '1.2.2'</code></pre>
|
||
|
|
<pre class="r"><code># the original wapo data
|
||
|
|
|
||
|
|
dat <- read.csv("http://www.washingtonpost.com/wp-srv/special/business/states-most-threatened-by-trade/states.csv?cache=1", stringsAsFactors=FALSE)
|
||
|
|
|
||
|
|
gg <- statebins(dat, "state", "avgshare94_00", breaks=4,
|
||
|
|
labels=c("0-1", "1-2", "2-3", "3-4"),
|
||
|
|
legend_title="Share of workforce with jobs lost or threatened by trade", font_size=3,
|
||
|
|
brewer_pal="Blues", text_color="black",
|
||
|
|
plot_title="1994-2000", title_position="bottom")</code></pre>
|
||
|
|
<pre><code>## Warning: `show_guide` has been deprecated. Please use `show.legend` instead.</code></pre>
|
||
|
|
<pre class="r"><code>gg</code></pre>
|
||
|
|
<pre><code>## TableGrob (2 x 1) "arrange": 2 grobs
|
||
|
|
## z cells name grob
|
||
|
|
## 1 (1-1,1-1) arrange gtable[layout]
|
||
|
|
## sub 2 (2-2,1-1) arrange text[GRID.text.1]</code></pre>
|
||
|
|
<pre class="r"><code># continuous scale, legend on top
|
||
|
|
|
||
|
|
gg2 <- statebins_continuous(dat, "state", "avgshare01_07",
|
||
|
|
legend_title="Share of workforce with jobs lost or threatened by trade", legend_position="top",
|
||
|
|
brewer_pal="OrRd", text_color="black", font_size=3,
|
||
|
|
plot_title="2001-2007", title_position="bottom")</code></pre>
|
||
|
|
<pre><code>## Warning: `show_guide` has been deprecated. Please use `show.legend` instead.</code></pre>
|
||
|
|
<pre class="r"><code>gg2</code></pre>
|
||
|
|
<pre><code>## TableGrob (2 x 1) "arrange": 2 grobs
|
||
|
|
## z cells name grob
|
||
|
|
## 1 (1-1,1-1) arrange gtable[layout]
|
||
|
|
## sub 2 (2-2,1-1) arrange text[GRID.text.53]</code></pre>
|
||
|
|
<pre class="r"><code># continuous scale, no legend
|
||
|
|
|
||
|
|
gg3 <- statebins_continuous(dat, "state", "avgshare08_12",
|
||
|
|
legend_title="States", legend_position="none",
|
||
|
|
brewer_pal="Purples", text_color="black", font_size=3,
|
||
|
|
plot_title="2008-2012", title_position="bottom")</code></pre>
|
||
|
|
<pre><code>## Warning: `show_guide` has been deprecated. Please use `show.legend` instead.</code></pre>
|
||
|
|
<pre class="r"><code>gg3</code></pre>
|
||
|
|
<pre><code>## TableGrob (2 x 1) "arrange": 2 grobs
|
||
|
|
## z cells name grob
|
||
|
|
## 1 (1-1,1-1) arrange gtable[layout]
|
||
|
|
## sub 2 (2-2,1-1) arrange text[GRID.text.89]</code></pre>
|
||
|
|
<pre class="r"><code># mortality (only to show PR and using a data.table)
|
||
|
|
# from: http://www.cdc.gov/nchs/fastats/state-and-territorial-data.htm
|
||
|
|
|
||
|
|
dat <- data.table::fread("http://dds.ec/data/deaths.csv")
|
||
|
|
statebins_continuous(dat, "state", "death_rate", legend_title="Per 100K pop",
|
||
|
|
plot_title="Mortality Rate (2010)")</code></pre>
|
||
|
|
<pre><code>## Warning: `show_guide` has been deprecated. Please use `show.legend` instead.</code></pre>
|
||
|
|
<pre><code>## TableGrob (2 x 1) "arrange": 2 grobs
|
||
|
|
## z cells name grob
|
||
|
|
## 1 (1-1,1-1) arrange gtable[layout]
|
||
|
|
## sub 2 (2-2,1-1) arrange text[GRID.text.117]</code></pre>
|
||
|
|
<pre class="r"><code># fertility (only to show tbl_dt)
|
||
|
|
|
||
|
|
dat <- dplyr::tbl_dt(dat)
|
||
|
|
statebins_continuous(dat, "state", "fertility_rate", legend_title="Per 100K pop",
|
||
|
|
plot_title="Fertility Rate (2010)", brewer_pal="PuBuGn")</code></pre>
|
||
|
|
<pre><code>## Warning: `show_guide` has been deprecated. Please use `show.legend` instead.</code></pre>
|
||
|
|
<pre><code>## TableGrob (2 x 1) "arrange": 2 grobs
|
||
|
|
## z cells name grob
|
||
|
|
## 1 (1-1,1-1) arrange gtable[layout]
|
||
|
|
## sub 2 (2-2,1-1) arrange text[GRID.text.153]</code></pre>
|
||
|
|
<pre class="r"><code># manual - perhaps good for elections?
|
||
|
|
|
||
|
|
library(httr)
|
||
|
|
library(dplyr)
|
||
|
|
election_2012 <- GET("https://raw.githubusercontent.com/hrbrmstr/statebins/master/tmp/election2012.csv")
|
||
|
|
results <- read.csv(textConnection(content(election_2012, as="text")), header=TRUE, stringsAsFactors=FALSE)
|
||
|
|
results <- results %>% mutate(color=ifelse(is.na(Obama), "#2166ac", "#b2182b")) %>% select(state, color)
|
||
|
|
results %>% statebins_manual(font_size=4, text_color = "white", labels=c("Romney", "Obama"), legend_position="right", legend_title="Winner")</code></pre>
|
||
|
|
<pre><code>## Warning: `show_guide` has been deprecated. Please use `show.legend` instead.</code></pre>
|
||
|
|
<p><img src="data:image/png;base64,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
|
||
|
|
<pre class="r"><code># or, more like the one in the WaPo article; i might be picking the wrong columns here. it's just for an example
|
||
|
|
|
||
|
|
sb <- function(col, title) {
|
||
|
|
statebins(dat, "state",col, brewer_pal="Blues", text_color="black", legend_position="none", font_size=3, plot_title=title, breaks=4, labels=1:4)
|
||
|
|
}</code></pre>
|
||
|
|
<pre class="r"><code># cheating and using <table> to arrange them below and also making a WaPo-like legend,
|
||
|
|
# since mucking with grid graphics margins/padding was not an option time-wise at the moment
|
||
|
|
|
||
|
|
sb("avgshare94_00", "1994-2000")
|
||
|
|
sb("avgshare01_07", "2001-2007")
|
||
|
|
sb("avgshare08_12", "2008-2012")</code></pre>
|
||
|
|
<!-- uncomment the following and add backticks where appropriate and remove the reference to -->
|
||
|
|
<!-- the static image when the rmarkdown output is HTML and this will work fine. github does not render the markdown properly -->
|
||
|
|
<!--
|
||
|
|
<span style="font-size:17px; color:#333;">Share of workforce with jobs lost or threatened by trade</span><br/>
|
||
|
|
|
||
|
|
<table style="width:200px" cellpadding=0, cellspacing=0><tr style="line-height:10px">
|
||
|
|
<td width="25%" style="background:#EFF3FF;"> </td>
|
||
|
|
<td width="25%" style="background:#BDD7E7;"> </td>
|
||
|
|
<td width="25%" style="background:#6BAED6;"> </td>
|
||
|
|
<td width="25%" style="background:#2171B5;"> </td></tr>
|
||
|
|
<tr><td colspan=2 align="left" style="font-size:14px">Smallest share</td><td colspan=2 align="right" style="font-size:14px">Largest</td></tr>
|
||
|
|
</table>
|
||
|
|
|
||
|
|
<table width="100%" cellpadding="0" cellspacing="0">
|
||
|
|
<tr><td width="50%">
|
||
|
|
|
||
|
|
{r f1994, echo=FALSE, fig.width=6, fig.height=5}
|
||
|
|
sb("avgshare94_00", "1994-2000")
|
||
|
|
|
||
|
|
</td><td width="50%">
|
||
|
|
|
||
|
|
{r f2001, echo=FALSE, fig.width=6, fig.height=5, results='asis'}
|
||
|
|
sb("avgshare01_07", "2001-2007")
|
||
|
|
|
||
|
|
</td></tr><tr><td width="50%">
|
||
|
|
|
||
|
|
{r f2008, echo=FALSE, fig.width=6, fig.height=5, results='asis'}
|
||
|
|
sb("avgshare08_12", "2008-2012")
|
||
|
|
|
||
|
|
</td><td width="50%"> </td></tr></table>
|
||
|
|
|
||
|
|
-->
|
||
|
|
<center>
|
||
|
|
<img src="data:image/png;base64,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
|
||
|
|
</center>
|
||
|
|
<p>And, we’ll throw in a gratuitous animation for good measure:</p>
|
||
|
|
<pre class="r"><code># data set from StatsAmerica - http://www.statsamerica.org/profiles/sip_index.html
|
||
|
|
|
||
|
|
# median household income from the ACS survey
|
||
|
|
miacs <- read.csv("http://dds.ec/data/median-income-acs.csv", header=TRUE, stringsAsFactors=FALSE)
|
||
|
|
|
||
|
|
# generate frames based on year
|
||
|
|
sapply(unique(miacs$year), function(year) {
|
||
|
|
|
||
|
|
png(file=sprintf("tmp/household%d.png", year),
|
||
|
|
type="quartz", antialias="subpixel", width=800, height=600)
|
||
|
|
|
||
|
|
rng <- floor(range(miacs[miacs$year==year,]$mh_inc))
|
||
|
|
|
||
|
|
ggtmp <- statebins(miacs[miacs$year==year,], "state", "mh_inc",
|
||
|
|
legend_title="States", legend_position="none",
|
||
|
|
brewer_pal="Greens", text_color="black", font_size=3,
|
||
|
|
plot_title=sprintf("Median Household Income (ACS) %d\n$%s - $%s", year, comma(rng[1]), comma(rng[2])), title_position="top")
|
||
|
|
|
||
|
|
print(ggtmp)
|
||
|
|
|
||
|
|
dev.off()
|
||
|
|
|
||
|
|
})
|
||
|
|
|
||
|
|
# animate them with ImageMagick
|
||
|
|
system("convert -background white -alpha remove -layers OptimizePlus -delay 150 tmp/*.png -loop 1 tmp/household.gif")</code></pre>
|
||
|
|
<center>
|
||
|
|
<img src="data:image/gif;base64,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
|
||
|
|
</center>
|
||
|
|
</div>
|
||
|
|
<div id="test-results" class="section level3">
|
||
|
|
<h3>Test Results</h3>
|
||
|
|
<pre class="r"><code>library(statebins)
|
||
|
|
library(testthat)
|
||
|
|
|
||
|
|
date()</code></pre>
|
||
|
|
<pre><code>## [1] "Mon Dec 21 08:21:03 2015"</code></pre>
|
||
|
|
<pre class="r"><code>test_dir("tests/")</code></pre>
|
||
|
|
<pre><code>## testthat results ========================================================================================================
|
||
|
|
## OK: 0 SKIPPED: 0 FAILED: 0</code></pre>
|
||
|
|
</div>
|
||
|
|
|
||
|
|
|
||
|
|
</div>
|
||
|
|
|
||
|
|
<script>
|
||
|
|
|
||
|
|
// add bootstrap table styles to pandoc tables
|
||
|
|
$(document).ready(function () {
|
||
|
|
$('tr.header').parent('thead').parent('table').addClass('table table-condensed');
|
||
|
|
});
|
||
|
|
|
||
|
|
</script>
|
||
|
|
|
||
|
|
<!-- dynamically load mathjax for compatibility with self-contained -->
|
||
|
|
<script>
|
||
|
|
(function () {
|
||
|
|
var script = document.createElement("script");
|
||
|
|
script.type = "text/javascript";
|
||
|
|
script.src = "https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
|
||
|
|
document.getElementsByTagName("head")[0].appendChild(script);
|
||
|
|
})();
|
||
|
|
</script>
|
||
|
|
|
||
|
|
</body>
|
||
|
|
</html>
|