Created
March 18, 2016 15:27
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library(openxlsx) | |
library(ggplot2) | |
library(reshape2) | |
library(plyr) | |
# Fix the path! | |
cd = read.xlsx("countdata.xlsx", "Sheet1") | |
# Summarize counts to get average weekdays | |
cntByDay.1 = ddply(cd, .(DayOfWeek, CntTimeTxt), summarize, NB = mean(NB), SB = mean(SB)) | |
# Reformat data to what ggplot2 wants | |
cntByDay = melt(cntByDay.1, id.vars = c("DayOfWeek", "CntTimeTxt")) | |
# We need some of these to be factors, and we need to reformat a little | |
cntByDay$CntTimeTxt = factor(cntByDay$CntTimeTxt) | |
cntByDay$DayTime = paste(cntByDay$DayOfWeek, cntByDay$variable, sep = " - ") | |
cntByDay$DayTime = factor(cntByDay$DayTime, levels= c("Monday - NB", "Monday - SB", "Tuesday - NB", "Tuesday - SB", "Wednesday - NB", "Wednesday - SB", "Thursday - NB", "Thursday - SB", "Friday - NB", "Friday - SB", "Saturday - NB", "Saturday - SB", "Sunday - NB", "Sunday - SB")) | |
# Plot the data | |
heatmap = ggplot(cntByDay, aes(x = DayTime, y = CntTimeTxt, fill = value, color = NULL))+ | |
geom_bin2d()+xlab("Day and Direction") + ylab("Time of Day") + | |
ggtitle("Average Weekday Count") + | |
scale_fill_gradient(low="green", high="red") + | |
scale_y_discrete(limits = rev(levels(cntByDay$CntTimeTxt))) |
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