Scatter plots display points that are scattered throughout the layout, according to the two variables
we are displaying. This makes it very easy to spot correlations in your data; i.e when a variable
changes based on the changes of another.There are 4 kinds of scatter plots available in Graphext:
The simplest form of scatter plot. Map datapoints in two dimensions.This example makes it easy to understand how they work. We plot a little dot for
each football player. The position of the dot depends on their weight and height. This
gives a very clear picture on how the two variables are related. If the player is taller,
it is also generally heavier, as one might expect. More mass weighs more.
A colored scatter plot goes a step further and takes in another variable into consideration,
using color to display it.Here we have the same example, but now dots are colored based on the overall skill of the player.
We can see that the best players are neither too short nor too tall; and something similar goes
with the weight. Excellence lies in the middle. Aurea mediocritas.
Bubble Charts, on the other hand, deal with the size of the dot to represent another variable, instead of color.Here we can see that larger dots tend to cluster around where the score for shooting and passing is better,
giving us a hint on how these two skills affect the salary of a given player.
Finally, the last logical step would be to also add color to the bubble chart, representing 4 variables
in one sitting.We can see in this last example that even though the two skills can bring you more money, not all great
players earn the same. And, on top of that, being “great” is not only measured from your shooting and
passing skills, as one would expect.
Scatter Plot customization is a bit different than the rest of the charts. Scatter plots allow you to change
dot size, opacity, and color, if available.
The dots’ size can be customized through the Size slider, if available.Their opacity can also be tweaked, useful when we have a lot of overlapping between many data points.
Lower opacities allow us to see where datapoints cluster more.