Producing bar charts on ggplot2 using already summarized data
ggplot2, r
Solution
you need `stat='identity'`.
ggplot(dat, aes(x=status, y=count, fill=Level.of.Education)) +
geom_bar(stat='identity')
I'd also suggest faceting by gender:
ggplot(dat, aes(x=status, y=count, fill=Level.of.Education)) +
geom_bar(stat='identity') +
facet_wrap(~gender)
Problem
Possible Duplicate: Create a bar graph with pre-summarized data using ggplot2 On ggplot2 reference manual http://had.co.nz/ggplot2/geom_bar.html We can see that stacked bar charts are quite easy using the provided diamond data. However, the dataset I am trying to use is different from the diamond data because mine is already summarized. Attached is a minimal example of what I mean ``` AgeGroup gender Level.of.Education status count 1 18-25 male High School married 10 2 18-25 male High School single 20 3 18-25 male College married 25 4 18-25 male College single 10 5 18-25 male PhD married 50 6 18-25 male PhD single 4 7 18-25 male GED married 20 8 18-25 male GED single 100 9 18-25 female High School married 20 10 18-25 female High School single 10 11 18-25 female College married 30 12 18-25 female College single 60 13 18-25 female PhD married 80 14 18-25 female PhD single 10 15 18-25 female GED married 5 16 18-25 female GED single 2 ``` Full dataset has timeframe as well so what I want to produce is a stacked bar graph showing number of married people and unmarried people overtime using "level of education" as fill on the bar. Full dataset is so large that aggregate data like this is highly desired. Your input would greatly help me. Thanks.