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@mrecos
Last active August 29, 2015 14:15
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Qucik setup to produce statebins choropleth-like map
### Qucik setup to produce statebins choropleth-like map
devtools::install_github("hrbrmstr/statebins")
# Data from American Fact Finder http://factfinder.census.gov/faces/nav/jsf/pages/index.xhtml
s <- c('Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado', 'Connecticut', 'Delaware', 'Florida', 'Georgia', 'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Iowa', 'Kansas', 'Kentucky', 'Louisiana', 'Maine', 'Maryland', 'Massachusetts', 'Michigan', 'Minnesota', 'Mississippi', 'Missouri', 'Montana', 'Nebraska', 'Nevada', 'New Hampshire', 'New Jersey', 'New Mexico', 'New York', 'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma', 'Oregon', 'Pennsylvania', 'Rhode Island', 'South Carolina', 'South Dakota', 'Tennessee', 'Texas', 'Utah', 'Vermont', 'Virginia', 'Washington', 'West Virginia', 'Wisconsin', 'Wyoming')
x <- c('12811', '183', '364', '11873', '10064', '1469', '344', '0', '5015', '13822', '104', '6571', '1217', '4061', '987', '112', '6130', '4396', '4261', '1083', '1598', '4857', '1852', '9770', '3377', '3335', '292', '0', '1442', '231', '22', '3652', '11335', '20', '3055', '789', '17428', '9188', '0', '6298', '942', '6248', '6580', '94', '1341', '8204', '15054', '3977', '9088', '324')
xp <- c('5.95140760011149', '0.085013472080275', '0.169097835176066', '5.51565548638855', '4.67527640992288', '0.68243054910341', '0.159806745331227', '0', '2.32974077859333', '6.42107219176809', '0.0483136671931618', '3.05258756852179', '0.565362817058441', '1.88655579299452', '0.458515283842795', '0.0520301031310973', '2.84771903744309', '2.04218154789557', '1.97946669144291', '0.503112515098021', '0.74235807860262', '2.2563411688191', '0.860354919632073', '4.53869738920375', '1.56880052030103', '1.54928923162687', '0.135649911734646', '0', '0.669887577812877', '0.107312087707888', '0.0102201988293227', '1.69655300566757', '5.26572516956239', '0.0092910898448388', '1.41921397379913', '0.366533494378891', '8.09625569079253', '4.26832667471894', '0', '2.92576419213974', '0.437610331691907', '2.90253646752764', '3.05676855895197', '0.0436681222707424', '0.622967574096442', '3.81120505435288', '6.99340332621016', '1.8475332156462', '4.22187122549475', '0.150515655486389')
x <- as.numeric(x)
xp <- as.numeric(xp)
dat <- data.frame(state = s, x = x, xp = xp)
dat$state <- as.character(dat$state)
b <- hist(dat$xp, plot=FALSE, breaks=5) # read breaks, formatted manually into labels= below
g <- statebins(dat, state_col = "state", value_col = "xp", breaks=5, labels=c("0-2", "2-4", "4-6", "6-8", "8-9"),
font_size=6, brewer_pal="PiYG", text_color="black", plot_title = "Distribution of Sawmill Labor", title_position = "top",
state_border_col = "black", legend_title = "Percent of labor force", legend_position="bottom")
plot(g)
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