# https://gist.github.com/eldenvo/f98d1adee22e9987b0cc97c117a619db#file-london_boroughs_geofacet_example-r
library(tibble)
library(dplyr)
affordable <- tibble::tribble(
~year, ~code, ~la, ~starts, ~compls,
"2016-17", "E09000002", "Barking and Dagenham", 185L, 0L,
"2016-17", "E09000003", "Barnet", 99L, 1L,
"2016-17", "E09000004", "Bexley", 34L, 53L,
"2016-17", "E09000005", "Brent", 38L, 3L,
"2016-17", "E09000006", "Bromley", 21L, 43L,
"2016-17", "E09000007", "Camden", 0L, 0L,
"2016-17", "E09000001", "City of London", 17L, 0L,
"2016-17", "E09000008", "Croydon", 180L, 2L,
"2016-17", "E09000009", "Ealing", 176L, 0L,
"2016-17", "E09000010", "Enfield", 32L, 13L,
"2016-17", "E09000011", "Greenwich", 25L, 44L,
"2016-17", "E09000012", "Hackney", 35L, 0L,
"2016-17", "E09000013", "Hammersmith and Fulham", 56L, 6L,
"2016-17", "E09000014", "Haringey", 0L, 0L,
"2016-17", "E09000015", "Harrow", 55L, 0L,
"2016-17", "E09000016", "Havering", 15L, 14L,
"2016-17", "E09000017", "Hillingdon", 6L, 7L,
"2016-17", "E09000018", "Hounslow", 71L, 76L,
"2016-17", "E09000019", "Islington", 166L, 15L,
"2016-17", "E09000020", "Kensington and Chelsea", 3L, 2L,
"2016-17", "E09000021", "Kingston upon Thames", 0L, 20L,
"2016-17", "E09000022", "Lambeth", 1L, 1L,
"2016-17", "E09000023", "Lewisham", 138L, 58L,
"2016-17", "E09000024", "Merton", 28L, 2L,
"2016-17", "E09000025", "Newham", 0L, 72L,
"2016-17", "E09000026", "Redbridge", 32L, 0L,
"2016-17", "E09000027", "Richmond upon Thames", 45L, 8L,
"2016-17", "E09000028", "Southwark", 90L, 0L,
"2016-17", "E09000029", "Sutton", 0L, 26L,
"2016-17", "E09000030", "Tower Hamlets", 142L, 98L,
"2016-17", "E09000031", "Waltham Forest", 126L, 30L,
"2016-17", "E09000032", "Wandsworth", 12L, 23L,
"2016-17", "E09000033", "Westminster", 39L, 0L,
"2015-16", "E09000002", "Barking and Dagenham", 202L, 318L,
"2015-16", "E09000003", "Barnet", 376L, 113L,
"2015-16", "E09000004", "Bexley", 190L, 197L,
"2015-16", "E09000005", "Brent", 96L, 202L,
"2015-16", "E09000006", "Bromley", 110L, 86L,
"2015-16", "E09000007", "Camden", 195L, 106L,
"2015-16", "E09000001", "City of London", 0L, 0L,
"2015-16", "E09000008", "Croydon", 397L, 263L,
"2015-16", "E09000009", "Ealing", 171L, 94L,
"2015-16", "E09000010", "Enfield", 324L, 59L,
"2015-16", "E09000011", "Greenwich", 277L, 614L,
"2015-16", "E09000012", "Hackney", 67L, 63L,
"2015-16", "E09000013", "Hammersmith and Fulham", 20L, 86L,
"2015-16", "E09000014", "Haringey", 66L, 5L,
"2015-16", "E09000015", "Harrow", 98L, 59L,
"2015-16", "E09000016", "Havering", 22L, 67L,
"2015-16", "E09000017", "Hillingdon", 25L, 95L,
"2015-16", "E09000018", "Hounslow", 476L, 79L,
"2015-16", "E09000019", "Islington", 318L, 181L,
"2015-16", "E09000020", "Kensington and Chelsea", 33L, 108L,
"2015-16", "E09000021", "Kingston upon Thames", 35L, 65L,
"2015-16", "E09000022", "Lambeth", 640L, 238L,
"2015-16", "E09000023", "Lewisham", 358L, 169L,
"2015-16", "E09000024", "Merton", 80L, 92L,
"2015-16", "E09000025", "Newham", 320L, 53L,
"2015-16", "E09000026", "Redbridge", 279L, 33L,
"2015-16", "E09000027", "Richmond upon Thames", 123L, 88L,
"2015-16", "E09000028", "Southwark", 393L, 267L,
"2015-16", "E09000029", "Sutton", 110L, 85L,
"2015-16", "E09000030", "Tower Hamlets", 750L, 295L,
"2015-16", "E09000031", "Waltham Forest", 217L, 229L,
"2015-16", "E09000032", "Wandsworth", 489L, 410L,
"2015-16", "E09000033", "Westminster", 5L, 8L
)
#merge
london_afford <- left_join(affordable, london_boroughs_grid, by = c("code" = "code_ons"))
london_afford <- select(london_afford, -row, -col, -name, -la)
devtools::use_data(london_afford, overwrite = TRUE)
#plot
library(ggplot2)
ggplot(london_afford, aes(x = year, y = starts, fill = year)) +
geom_col(position = position_dodge()) +
facet_geo(~ code, grid = "london_boroughs_grid", label = "name") +
labs(title = "Affordable Housing Starts in London",
subtitle = "Each Borough, 2015-16 to 2016-17",
caption = "Source: London Datastore", x = "", y = "")
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