Use more than two data points. It is possible that online dating was huge in 2017, but not before or after it. It’s also possible that online dating was much bigger in 2015, and went down in 2017. This graph paints a fake tendency.
As haohao said, more data would make for more interesting lines. Also, since the data should add up to 100%, maybe use a stack graph? Don’t use straight lines. I would also try to experiment with pivoting the data; show evolution over time of a single trend (in multiple graphs). Merge a bunch of low percent items into “other” to clean up.
Just ideas, making a great looking graph is mostly art.
what would you have done differently to communicate the data then? assuming the numbers are correct.
Use more than two data points. It is possible that online dating was huge in 2017, but not before or after it. It’s also possible that online dating was much bigger in 2015, and went down in 2017. This graph paints a fake tendency.
As haohao said, more data would make for more interesting lines. Also, since the data should add up to 100%, maybe use a stack graph? Don’t use straight lines. I would also try to experiment with pivoting the data; show evolution over time of a single trend (in multiple graphs). Merge a bunch of low percent items into “other” to clean up.
Just ideas, making a great looking graph is mostly art.