Created
April 3, 2021 07:14
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Campaign Finance Explorer
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library(tidyverse) | |
library(rvest) | |
# define list of input | |
years = c('1996', '1998', '2000', '2002', '2004', '2006', '2008', '2010', '2012', '2014', '2016', '2018', '2020') | |
years_abbr = c('96', '98', '00', '02', '04','06', '08', '10', '12', '14', '16', '18', '20') | |
# loop over years, combine data | |
# source: https://www.fec.gov/data/browse-data/?tab=bulk-data | |
setwd("~/Projects/fec") | |
datalist = list() | |
for (i in 1:length(years)) { | |
url = paste('https://www.fec.gov/files/bulk-downloads/', years[i], '/webl', years_abbr[i], '.zip', sep = '') | |
print(url) | |
download.file(url, 'temp.zip') | |
file_name = paste('webl', years_abbr[i], '.txt', sep = '') | |
unzip('temp.zip', file_name) | |
datalist[[i]] = read_delim(file_name, delim = '|', col_names = F) %>% mutate(X31 = years[i]) | |
} | |
raw = do.call(rbind, datalist) | |
# add column names | |
url = 'https://www.fec.gov/campaign-finance-data/current-campaigns-house-and-senate-file-description/' | |
page = read_html(url) | |
column_names = page %>% html_table() %>% first() %>% pull(X1) | |
colnames(raw) = c(column_names[2:length(column_names)], 'YEAR') # remove "Column name", add year | |
glimpse(raw) | |
# remove election result variables only included in 1996-2006 files | |
campaigns = raw %>% select(-SPEC_ELECTION, -PRIM_ELECTION, -RUN_ELECTION, -GEN_ELECTION, -GEN_ELECTION_PRECENT) | |
glimpse(campaigns) | |
campaigns %>% group_by(PTY_CD, CAND_PTY_AFFILIATION) %>% count(sort = T) | |
# export | |
write_csv(campaigns, 'fec-campaign-finance.csv') | |
# PTY_CD: 2 = Republican, 1 = Democrat, 3 = Other | |
# CAND ICI: C = Challenger, I = Incumbent, O = Open Seat, NA = Other |
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The code behind the scenes to create this dashboard:
https://public.tableau.com/profile/erik.webb#!/vizhome/CampaignFinanceExplorer/Dashboard