A FIRST DATA VISUALIZATION
- OTVgroup
- Mar 24, 2020
- 1 min read
Our initial data visualization work resulted in three sketches. Since we are observing a data set on basketball, we think that it would be nice to draw sketches utilizing notions relating to basketball.
In the first sketch, each circle represents a team. The size of the circle represents the average number of points per game, whereas the hue is the accuracy which is measured by the Field-goal percentage. The euclidean distance from the basket is the ratio between two-point shots vs three-point shots of each team.
On the second sketch, we put each team on a coordinate plane, with x is the number of attempted three-point shots and y is the total attempted two-point ones. The size of the ball depends on the percentage of winning games whereas the hue represent avarage number of fouls per game
On the third sketches, we are trying to visualize the relationship between the points a team got in a game and the accuracy which is measured by goal-field percentage. Going into details, each point on the plane is a spiderweb with axes are different statistics, including Total rebounds, Assists, Steals, Blocks, Turnovers.
Regarding the first sketch, I think it's excellent. The different dimensions are mapped in an intuitive way to the geometrical and colour-related characteristics. You say you would like to have the geometrical distance to the basket express the ratio between two- and three-pointers per team. This might be expressed with only an x- or y-axis, but the teams in your initial sketch are spread in both x- and y-dimensions. Is this done on purpose? I would say that it is visually more pleasing / interesting indeed to have the teams sort of spread out randomly through space, but on the other hand it would be more true to the information that you provide if you would align the teams like…