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https://github.com/hrbrmstr/voteogram

U.S. House and Senate Voting Cartogram Generators in R
https://github.com/hrbrmstr/voteogram

data-visualisation data-visualization datavisualization r rstats

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U.S. House and Senate Voting Cartogram Generators in R

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README 

        
---

output: rmarkdown::github_document

editor_options: 

  chunk_output_type: console

---

```{r include=FALSE}

knitr::opts_chunk$set(fig.retina=2)

```



# voteogram



U.S. House and Senate Voting Cartogram Generators



## Description



'ProPublica'  makes United States Congress member votes available and has developed their own unique cartogram to visually represent this data as has 'GovTrack'  . Tools are provided to retrieve voting data, prepare voting data for plotting with 'ggplot2', create vote cartograms and theme them.

    

Ref: (these are replicated below)



- 

- 

- 



You can grab the results of a roll call vote (House or Senate) with `roll_call()`. It returns a `list` with a ton of information that you can use outside this package. One

element of that list is the `data.frame` of vote results. You can pass in the _entire_

object to either `_carto()` function and it'll "fortify" it before shunting it off

to ggplot2. Try to cache this data (I do, below, in R markdown chunk) as you're ticking credits off of ProPublica's monthly free S3 allotment each call. Consider donating to them if you're too lazy to cache the data). 



## TODO



- House cartogram generator

- Param bulletproofing (param checking, et al)

- Add in ability to retrieve votes from ProPublica.

- Make a `voteogram` theme

- GovTrack Senate cartogram polygons (this is pretty much covered in [`ggparliament`](https://github.com/leeper/ggparliament) since GT only has the seat view for the Senate)

- "Independent" colors for "not voting" & "present"

- Vignette

- `htmlwidget` version



## What's In The Tin



The following functions are implemented:



- `house_carto`:	Produce a ProPublica- or GovTrack-style House roll call vote cartogram

- `senate_carto`:	Produce a Senate cartogram

- `roll_call`:	Get Voting Record for House or Senate By Number, Session & Roll Call Number



Helpers: 



- `theme_voteogram`: voteogram ggplot2 theme

- `print.pprc`:	Better default 'print' function for `roll_call()` (`pprc`) objects

- `fortify.pprc` : In case you want to use the voting data frame from a `roll_call()` (`pprc`) object in your own plots and forget to just `$votes` it out. #helping



## Working with `voteogram`



### Installation



```{r eval=FALSE}

remotes::install_github("hrbrmstr/voteogram")

```



```{r message=FALSE, warning=FALSE, error=FALSE, include=FALSE}

options(width=120)

```



### Basic Usage



```{r message=FALSE, warning=FALSE, error=FALSE}

library(voteogram)

library(hrbrthemes)

library(ggplot2)



# current verison

packageVersion("voteogram")

```



```{r cache=TRUE}

sen <- roll_call("senate", 115, 1, 110)

rep <- roll_call("house", 115, 1, 256)

```



```{r}

str(sen)



sen$votes

```



```{r}

str(rep)



fortify(rep)

```



### ProPublica



```{r sen, fig.width=10, fig.height=7}

senate_carto(sen) +

  labs(title="Senate Vote 110 - Invokes Cloture on Neil Gorsuch Nomination") +

  theme_ipsum_rc(plot_title_size = 24) +

  theme_voteogram()

```



```{r rep_pp_square, fig.width=10, fig.height=7}

house_carto(rep, pp_square=TRUE) +

  labs(x=NULL, y=NULL, 

       title="House Vote 256 - Passes American Health Care Act,\nRepealing Obamacare") +

  theme_ipsum_rc(plot_title_size = 24) +

  theme_voteogram()

```



```{r rep_pp_orig, fig.width=10, fig.height=7}

house_carto(rep, pp_square=FALSE) +

  labs(x=NULL, y=NULL, 

       title="House Vote 256 - Passes American Health Care Act,\nRepealing Obamacare") +

  theme_ipsum_rc(plot_title_size = 24) +

  theme_voteogram()

```



### GovTrack



```{r rep_gt, fig.width=10, fig.height=7}

house_carto(rep, "gt") +

  labs(x=NULL, y=NULL, 

       title="House Vote 256 - Passes American Health Care Act,\nRepealing Obamacare") +

  theme_ipsum_rc(plot_title_size = 24) +

  theme_voteogram()

```



### Tiny Cartograms



They can be shrunk down well (though that means annotating them in some other way):



```{r sen_small, fig.width=3, fig.height=2.1}

senate_carto(sen) + theme_voteogram(legend=FALSE)

```



```{r rep_small, fig.width=3, fig.height=2.1}

house_carto(rep) + theme_voteogram(legend=FALSE)

```



```{r rep_small_1, fig.width=3, fig.height=2.1}

house_carto(rep, pp_square=TRUE) + theme_voteogram(legend=FALSE)

```



### Test Results



```{r message=FALSE, warning=FALSE, error=FALSE}

library(voteogram)

library(testthat)



date()



test_dir("tests/")

```



## Code of Conduct



Please note that this project is released with a [Contributor Code of Conduct](CONDUCT.md). By participating in this project you agree to abide by its terms.