I ran a Pig job on a Hadoop cluster that crunched a bunch of data down into something R can handle to do a cohort analysis. I have the following script, and as of the second to last line I have the data in the format:
> names(data)
[1] "VisitWeek" "ThingAge" "MyMetric"
VisitWeek is a Date. ThingAge and MyMetric are integers.
The data looks like:
2010-02-07 49 12345
The script I have so far is:
# Load ggplot2 for charting
library(ggplot2);
# Our file has headers - column names
data = read.table('weekly_cohorts.tsv',header=TRUE,sep="\t");
# Print the names
names(data)
# Convert to dates
data$VisitWeek = as.Date(data$VisitWeek)
data$ThingCreation = as.Date(data$ThingCreation)
# Fill in the age column
data$ThingAge = as.integer(data$VisitWeek - data$ThingCreation)
# Filter data to thing ages lt 10 weeks (70 days) + a sanity check for gt 0, and drop the creation week column
data = subset(data, data$ThingAge <= 70, c("VisitWeek","ThingAge","MyMetric"))
data = subset(data, data$ThingAge >= 0)
print(ggplot(data, aes(x=VisitWeek, y=MyMetric, fill=ThingAge)) + geom_area())
This last line does not work. I've tried lots of variations, bars, histograms, but as usual R docs defeat me.
I want it to show a standard Excel style stacked area chart - one time series for each ThingAge stacked across the weeks in the x axis, with the date on the y axis. An example of this kind of chart is here: http://upload.wikimedia.org/wikipedia/commons/a/a1/Mk_Zuwanderer.png
I've read the docs here: http://had.co.nz/ggplot2/geom_area.html and http://had.co.nz/ggplot2/geom_histogram.html and this blog http://chartsgraphs.wordpress.com/2008/10/05/r-lattice-plot-beats-excel-stacked-area-trend-chart/ but I can't quite make it work for me.
How can I achieve this?
library(ggplot2)
set.seed(134)
df <- data.frame(
VisitWeek = rep(as.Date(seq(Sys.time(),length.out=5, by="1 day")),3),
ThingAge = rep(1:3, each=5),
MyMetric = sample(100, 15))
ggplot(df, aes(x=VisitWeek, y=MyMetric)) +
geom_area(aes(fill=factor(ThingAge)))
gives me the image below. I suspect your problem lies in correctly specifying the fill mapping for the area plot: fill=factor(ThingAge)
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