You’ll usually be better off sticking with a bar chart, lollipop chart, or dot plot to convey information due to their use of position to encode value. However, this exposes the packed circle chart’s weaknesses: like the bubble chart, it is difficult to get exact values or a ranking from the unordered bubble sizes. In a way, you can think of a packed circle chart as a bar chart made of discs. Note that perception of value based on color has similar limitations as using size, so a legend is just as necessary when using color as it is for point size. light to dark), we can use color to indicate value for a third variable, rather than size. ![]() If we have a color palette where colors have a continuous relationship (e.g. It is actually possible to use hue as a fourth variable in conjunction with point size, but this should be used carefully since it can result in information overload – the earlier cautions regarding presenting a clear trend are magnified greatly with a fourth variable.Ĭolor can also be used as an encoding for numeric variables. When we have a categorical third variable (taking discrete values that may or may not be ordered), we can assign a distinct hue to each category of points. It’s worth mentioning, however, that third variables can be added to scatter plots through other point encodings. ![]() The bubble chart is, of course, built upon the scatter plot as a base, just with the addition of a third variable through point size. This is a completely different chart type that will be discussed briefly towards the end of the article. The name “bubble chart” is sometimes used to refer to a different chart type, the packed circle chart. Instead, the main takeaway from the plot comes from the third variable: as teams score more points and allow fewer points from their opponents (towards the upper left), they will earn more victories, as one might naturally expect. (Ties are worth half a win.)įrom the plot, we can see that there is a lot more variance in points scored by teams than by their opponents, but there’s no particularly strong correlation between the two. Each bubble’s size indicates the number of wins earned by each team, with larger bubbles corresponding to higher win rates. ![]() A bubble’s horizontal position notes the average points scored against that team each game, and the vertical position notes the average points scored by that team each game. Each bubble represents a single team’s performance. The example bubble chart above depicts the points scored per game by teams in the regular season of the National Football League in 2018.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |