Using Ggplot2 to plot last.fm top 100 albums
I found out that last.fm had made data files available for their Best of 2011 artist list, and I thought it’d be a great opportunity to learn some more about data management in R and Ggplot2.
I began by downloading and importing the tab separated data file
from last.fm (TSV).
Then I did some data cleanup, because one row just contained junk and some columns were unnecessary. I also removed all entries after row 100.
I did a search for missing values, but none were found.
The XML-file contained information about artists location. So I loaded
it and cleaned it up a bit. The location column was a bit messy so I
edited manually in statas data editor, I figured it was the easiest
way. I then read the edited data file back into R and combined that
data.frame
with the rest of the data from the TSV-file.
I tried plotting this data.frame
with ggplot but the location
variable contained 17 countries, which made a messy plot. Therefore I
choose to group some countries under the label “other”.
I still wasn’t satisfied with the plot, because it wasn’t sorted after
album plays. I tried quite a lot of different methods of sorting the
data.frame
before figuring out how to do it successfully with
reorder()
.
I wanted my plot to have readable decimal notation so I created my own x-breaks.
I also used my own custom colors for the plots legend, which I saved in
a list before initiating ggplot2
.
Then, at last, I drew the plot with ggplot2
.
We can see that the plot is dominated by USA and UK and that Adele and
Lady Gaga got exponentially more album plays than the rest. To give a
summary of $location
I used summary()
.
Which gave the following:
Written by Kristoffer Magnusson, a researcher in clinical psychology. You should follow him on Twitter and come hang out on the open science discord Git Gud Science.
Published March 22, 2012 (View on GitHub)
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