senate election results










These data are sourced from the 16th Official Canvass Report from the Comelec Rappler Mirror Server. Retrieved May 23, 2013 4:30am. http://bit.ly/12AmEyO

you may also download the high-res dataviz from dropbox --> http://bit.ly/1a9KBPU


The following source code for making the heatmaps is working and functional in R v. 3.0.0



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#this code was tested in
# R version 3.0.0 (2013-04-03) -- "Masked Marvel"
# Copyright (C) 2013 The R Foundation for Statistical Computing
# Platform: i386-w64-mingw32/i386 (32-bit)

getwd()
# this is your working directory

# setwd("")
# you can set your personal working directory here

getwd()

#  ------------------------------------------------------------------------------------------------
# # LOAD VOTES DATASETS from COMELEC's 16th canvass report (OFFICIAL TALLY)
# Accessed from http://www.rappler.com/nation/politics/elections-2013/features/rich-media/29126-official-tally-votes-2013-senatorial-race
# Retrieved May 23, 2013 4:30am


data1 <- "http://dl.dropboxusercontent.com/u/7911075/election%202013%20csv/namebyregion.csv"
download.file(data1, destfile="./datasets/namebyregion.csv")

data2 <- "http://dl.dropboxusercontent.com/u/7911075/election%202013%20csv/namebyprovince.csv"
download.file(data2, destfile="./datasets/namebyprovince.csv")

data3 <- "http://dl.dropboxusercontent.com/u/7911075/election%202013%20csv/provincetotalbyname.csv"
download.file(data3, destfile="./datasets/provincetotalbyname.csv")

data4 <- "http://dl.dropboxusercontent.com/u/7911075/election%202013%20csv/regiontotalbyname.csv"
download.file(data4, destfile="./datasets/regiontotalbyname.csv")

list.files(".")
dateDownloaded <-date()
dateDownloaded

byregion <- read.csv("./datasets/namebyregion.csv", header=TRUE)
str(byregion)

byprovince <- read.csv("./datasets/namebyprovince.csv", header=TRUE)
str(byprovince)

tprovince <- read.csv("./datasets/provincetotalbyname.csv", header=TRUE)
str(tprovince)

tregion <- read.csv("./datasets/regiontotalbyname.csv", header=TRUE)
str(tregion)

#  ------------------------------------------------------------------------------------------------
# # LOAD COLOR PALETTES

library(RColorBrewer)

cols4v1 <- brewer.pal(5, "YlGnBu")
pal4v1 <- colorRampPalette(cols4v1)  # <- dark blue cyan white gradient

cols4v2 <- brewer.pal(5, "YlOrBr")
pal4v2 <- colorRampPalette(cols4v2)  # <- brown orange white gradient

cols4v3 <- brewer.pal(5, "PuRd")
pal4v3 <- colorRampPalette(cols4v3)  # <- purple pink white gradient

cols4v4 <- brewer.pal(5, "RdPu")
pal4v4 <- colorRampPalette(cols4v4)  # <- violet pink white gradient

cols8 <- brewer.pal(8, "Set3")
pal8 <- colorRampPalette(cols8)

cols12 <- brewer.pal(12, "Set3")
pal12 <- colorRampPalette(cols12)

#  ------------------------------------------------------------------------------------------------
# # DRAW HEATMAPS FOR REGION

row.names(byregion) <- byregion$X
byregion <- byregion[,2:19]
byregion_matrix <- data.matrix(byregion)

regions_heatmap1 <- heatmap(byregion_matrix, Rowv=NA, Colv=NA, col = cm.colors(256), scale="column", margins=c(5,10)) # <-- pink, blue
regions_heatmap2 <- heatmap(byregion_matrix, Rowv=NA, Colv=NA, col = heat.colors(256), scale="column", margins=c(5,10)) # <-- too much red
regions_heatmap3 <- heatmap(byregion_matrix, Rowv=NA, Colv=NA, col = pal4v2(5), scale="column", margins=c(5,10)) # <-- yellow brown gradient
regions_heatmap4 <- heatmap(byregion_matrix, Rowv=NA, Colv=NA, col = pal4v1(5), scale="column", margins=c(5,10)) # <-- yellow blue gradient
regions_heatmap5 <- heatmap(byregion_matrix, Rowv=NA, Colv=NA, col = pal12(5), scale="column", margins=c(5,10)) # <- messy looking

regions_heatmap6 <- heatmap(byregion_matrix, Rowv=NA, Colv=NA, col = pal4v4(5), scale="column", margins=c(5,10)) # <-- purle pink gradient
# dev.copy2pdf(file="./output/votesperregion.pdf", height = 8, width = 11)

#  ------------------------------------------------------------------------------------------------
# # DRAW HEATMAPS PER PROVINCE

str(byprovince)
names(byprovince)

#  REGION 1 ------------------------------------------------------------------------------------------------
# for example, we take the provinces in region1
provincesregion1 <- byprovince[,33:37]
provincesregion1$X <- byprovince$X
str(provincesregion1)
row.names(provincesregion1) <- provincesregion1$X
provincesregion1 <- provincesregion1[,1:5]
provincesregion1_matrix <- data.matrix(provincesregion1)

#draw heatmap for provinces in region1
region1_heatmap <- heatmap(provincesregion1_matrix, Rowv=NA, Colv=NA, col = pal4v1(5), scale="column", margins=c(5,10)) # <-- yellow blue gradient
dev.copy2pdf(file="./output/votesregion1.pdf", height = 8, width = 11)

#  REGION 2 ------------------------------------------------------------------------------------------------
# for example, we take the provinces in region2
provincesregion2 <- byprovince[,38:43]
provincesregion2$X <- byprovince$X
str(provincesregion2)
row.names(provincesregion2) <- provincesregion2$X
provincesregion2 <- provincesregion2[,1:6]
provincesregion2_matrix <- data.matrix(provincesregion2)

#draw heatmap for provinces in region2
region2_heatmap <- heatmap(provincesregion2_matrix, Rowv=NA, Colv=NA, col = pal4v1(5), scale="column", margins=c(5,10)) # <-- yellow blue gradient
# dev.copy2pdf(file="./output/votesregion2.pdf", height = 8, width = 11)

#  REGION 3 ------------------------------------------------------------------------------------------------
# for example, we take the provinces in region3
provincesregion3 <- byprovince[,44:51]
provincesregion3$X <- byprovince$X
str(provincesregion3)
row.names(provincesregion3) <- provincesregion3$X
provincesregion3 <- provincesregion3[,1:8]
provincesregion3_matrix <- data.matrix(provincesregion3)

#draw heatmap for provinces in region3
region3_heatmap <- heatmap(provincesregion3_matrix, Rowv=NA, Colv=NA, col = pal4v1(5), scale="column", margins=c(5,10)) # <-- yellow blue gradient
# dev.copy2pdf(file="./output/votesregion3.pdf", height = 8, width = 11)

#  REGION 4A ------------------------------------------------------------------------------------------------
# for example, we take the provinces in region4a
provincesregion4a <- byprovince[,52:57]
provincesregion4a$X <- byprovince$X
str(provincesregion4a)
row.names(provincesregion4a) <- provincesregion4a$X

provincesregion4a <- provincesregion4a[,1:6]
provincesregion4a_matrix <- data.matrix(provincesregion4a)

#draw heatmap for provinces in region4a
region4a_heatmap <- heatmap(provincesregion4a_matrix, Rowv=NA, Colv=NA, col = pal4v1(5), scale="column", margins=c(5,10)) # <-- yellow blue gradient
# dev.copy2pdf(file="./output/votesregion4a.pdf", height = 8, width = 11)

#  REGION4B ------------------------------------------------------------------------------------------------
# for example, we take the provinces in region4b
provincesregion4b <- byprovince[,58:63]
provincesregion4b$X <- byprovince$X
str(provincesregion4b)
row.names(provincesregion4b) <- provincesregion4b$X

provincesregion4b <- provincesregion4b[,1:6]
provincesregion4b_matrix <- data.matrix(provincesregion4b)

#draw heatmap for provinces in region4b
region4b_heatmap <- heatmap(provincesregion4b_matrix, Rowv=NA, Colv=NA, col = pal4v1(5), scale="column", margins=c(5,10)) # <-- yellow blue gradient
# dev.copy2pdf(file="./output/votesregion4b.pdf", height = 8, width = 11)

#  REGION5 ------------------------------------------------------------------------------------------------
# for example, we take the provinces in region5
provincesregion5 <- byprovince[,64:70]
provincesregion5$X <- byprovince$X
str(provincesregion5)
row.names(provincesregion5) <- provincesregion5$X

provincesregion5 <- provincesregion5[,1:7]
provincesregion5_matrix <- data.matrix(provincesregion5)

#draw heatmap for provinces in region5
region5_heatmap <- heatmap(provincesregion5_matrix, Rowv=NA, Colv=NA, col = pal4v1(5), scale="column", margins=c(5,10)) # <-- yellow blue gradient
# dev.copy2pdf(file="./output/votesregion5.pdf", height = 8, width = 11)

#  REGION6 ------------------------------------------------------------------------------------------------
# for example, we take the provinces in region6
provincesregion6 <- byprovince[,71:79]
provincesregion6$X <- byprovince$X
str(provincesregion6)
row.names(provincesregion6) <- provincesregion6$X

provincesregion6 <- provincesregion6[,1:9]
provincesregion6_matrix <- data.matrix(provincesregion6)

#draw heatmap for provinces in region6
region6_heatmap <- heatmap(provincesregion6_matrix, Rowv=NA, Colv=NA, col = pal4v1(5), scale="column", margins=c(5,10)) # <-- yellow blue gradient
# dev.copy2pdf(file="./output/votesregion6.pdf", height = 8, width = 11)

#  REGION7 ------------------------------------------------------------------------------------------------
# for example, we take the provinces in region7
provincesregion7 <- byprovince[,80:86]
provincesregion7$X <- byprovince$X
str(provincesregion7)
row.names(provincesregion7) <- provincesregion7$X

provincesregion7 <- provincesregion7[,1:7]
provincesregion7_matrix <- data.matrix(provincesregion7)

#draw heatmap for provinces in region7
region7_heatmap <- heatmap(provincesregion7_matrix, Rowv=NA, Colv=NA, col = pal4v1(5), scale="column", margins=c(5,10)) # <-- yellow blue gradient
# dev.copy2pdf(file="./output/votesregion7.pdf", height = 8, width = 11)

#  REGION8 ------------------------------------------------------------------------------------------------
# for example, we take the provinces in region8
provincesregion8 <- byprovince[,87:93]
provincesregion8$X <- byprovince$X
str(provincesregion8)
row.names(provincesregion8) <- provincesregion8$X

provincesregion8 <- provincesregion8[,1:7]
provincesregion8_matrix <- data.matrix(provincesregion8)

#draw heatmap for provinces in region8
region8_heatmap <- heatmap(provincesregion8_matrix, Rowv=NA, Colv=NA, col = pal4v1(5), scale="column", margins=c(5,10)) # <-- yellow blue gradient
# dev.copy2pdf(file="./output/votesregion8.pdf", height = 8, width = 11)

#  REGION9 ------------------------------------------------------------------------------------------------
# for example, we take the provinces in region9
provincesregion9 <- byprovince[,94:98]
provincesregion9$X <- byprovince$X
str(provincesregion9)
row.names(provincesregion9) <- provincesregion9$X

provincesregion9 <- provincesregion9[,1:5]
provincesregion9_matrix <- data.matrix(provincesregion9)

#draw heatmap for provinces in region9
region9_heatmap <- heatmap(provincesregion9_matrix, Rowv=NA, Colv=NA, col = pal4v1(5), scale="column", margins=c(5,10)) # <-- yellow blue gradient
# dev.copy2pdf(file="./output/votesregion9.pdf", height = 8, width = 11)

#  REGION10 ------------------------------------------------------------------------------------------------
# for example, we take the provinces in region10
provincesregion10 <- byprovince[,99:106]
provincesregion10$X <- byprovince$X
str(provincesregion10)
row.names(provincesregion10) <- provincesregion10$X

provincesregion10 <- provincesregion10[,1:7]
provincesregion10_matrix <- data.matrix(provincesregion10)

#draw heatmap for provinces in region10
region10_heatmap <- heatmap(provincesregion10_matrix, Rowv=NA, Colv=NA, col = pal4v1(5), scale="column", margins=c(5,10)) # <-- yellow blue gradient
# dev.copy2pdf(file="./output/votesregion10.pdf", height = 8, width = 11)

#  REGION11 ------------------------------------------------------------------------------------------------
# for example, we take the provinces in region11
provincesregion11 <- byprovince[,107:112]
provincesregion11$X <- byprovince$X
str(provincesregion11)
row.names(provincesregion11) <- provincesregion11$X

provincesregion11 <- provincesregion11[,1:6]
provincesregion11_matrix <- data.matrix(provincesregion11)

#draw heatmap for provinces in region11
region11_heatmap <- heatmap(provincesregion11_matrix, Rowv=NA, Colv=NA, col = pal4v1(5), scale="column", margins=c(5,10)) # <-- yellow blue gradient
# dev.copy2pdf(file="./output/votesregion11.pdf", height = 8, width = 11)

#  REGION12 ------------------------------------------------------------------------------------------------
# for example, we take the provinces in region12
provincesregion12 <- byprovince[,113:117]
provincesregion12$X <- byprovince$X
str(provincesregion12)
row.names(provincesregion12) <- provincesregion12$X

provincesregion12 <- provincesregion12[,1:5]
provincesregion12_matrix <- data.matrix(provincesregion12)

#draw heatmap for provinces in region12
region12_heatmap <- heatmap(provincesregion12_matrix, Rowv=NA, Colv=NA, col = pal4v1(5), scale="column", margins=c(5,10)) # <-- yellow blue gradient
# dev.copy2pdf(file="./output/votesregion12.pdf", height = 8, width = 11)

#  REGION13 CARAGA ------------------------------------------------------------------------------------------------
# for example, we take the provinces in region13
provincesregion13 <- byprovince[,10:15]
provincesregion13$X <- byprovince$X
str(provincesregion13)
row.names(provincesregion13) <- provincesregion13$X

provincesregion13 <- provincesregion13[,1:6]
provincesregion13_matrix <- data.matrix(provincesregion13)

#draw heatmap for provinces in region13
region13_heatmap <- heatmap(provincesregion13_matrix, Rowv=NA, Colv=NA, col = pal4v1(5), scale="column", margins=c(5,10)) # <-- yellow blue gradient
# dev.copy2pdf(file="./output/votesregion13.pdf", height = 8, width = 11)

#  NCR  ------------------------------------------------------------------------------------------------
# for example, we take the provinces in ncr
provincesncr <- byprovince[,16:32]
provincesncr$X <- byprovince$X
str(provincesncr)
row.names(provincesncr) <- provincesncr$X

provincesncr <- provincesncr[,1:17]
provincesncr_matrix <- data.matrix(provincesncr)

#draw heatmap for provinces in ncr
ncr_heatmap <- heatmap(provincesncr_matrix, Rowv=NA, Colv=NA, col = pal4v1(5), scale="column", margins=c(5,10)) # <-- yellow blue gradient
# dev.copy2pdf(file="./output/votesncr.pdf", height = 8, width = 11)

#  CAR  ------------------------------------------------------------------------------------------------
# for example, we take the provinces in car
provincescar <- byprovince[,2:9]
provincescar$X <- byprovince$X
str(provincescar)
row.names(provincescar) <- provincescar$X

provincescar <- provincescar[,1:8]
provincescar_matrix <- data.matrix(provincescar)

#draw heatmap for provinces in car
car_heatmap <- heatmap(provincescar_matrix, Rowv=NA, Colv=NA, col = pal4v1(5), scale="column", margins=c(5,10)) # <-- yellow blue gradient
# dev.copy2pdf(file="./output/votescar.pdf", height = 8, width = 11)

#  ARMM  ------------------------------------------------------------------------------------------------
# for example, we take the provinces in armm
provincesarmm <- byprovince[,118:123]
provincesarmm$X <- byprovince$X
str(provincesarmm)

row.names(provincesarmm) <- provincesarmm$X
provincesarmm <- provincesarmm[,1:6]
provincesarmm_matrix <- data.matrix(provincesarmm)

#draw heatmap for provinces in armm
armm_heatmap <- heatmap(provincesarmm_matrix, Rowv=NA, Colv=NA, col = pal4v1(5), scale="column", margins=c(5,10)) # <-- yellow blue gradient
# dev.copy2pdf(file="./output/votesarmm.pdf", height = 8, width = 11)

#  OAV OVERSEAS ABSENTEE VOTING COUNTRIES  ------------------------------------------------------------------------------------------------
# for example, we take the provinces in oav
provincesoav <- byprovince[,124:146]
provincesoav$X <- byprovince$X
str(provincesoav)

row.names(provincesoav) <- provincesoav$X
provincesoav <- provincesoav[,1:23]
provincesoav_matrix <- data.matrix(provincesoav)

#draw heatmap for provinces in oav
oav_heatmap <- heatmap(provincesoav_matrix, Rowv=NA, Colv=NA, col = pal4v1(5), scale="column", margins=c(5,10)) # <-- yellow blue gradient
# dev.copy2pdf(file="./output/votesoav.pdf", height = 8, width = 11)


# # ---------------------------
# END OF CODE