Insert the graphic you found below and provide the URL of the original source.

http://www.hardballtimes.com/using-statcast-data-to-predict-hits/

My Figure

My Figure

1. What data are being visualized? Where did they come from?

The data that are being vizualed are speed off the bat and Launch Angle of the baseball. These came from measurments recorded by statcast. They are plotted, speed as x and launch angle as y, to yield the predicted probabiltiy of a hit.

2. Which data dimensions (observations/rows, variables/columns) are mapped to which visual cues?

Points are mapped by using speed off the bat as the x coordinate and launch angle as the y coordinate. The probability uses color intensity and hue to depict higher and lower probability of a hit. For a very low probablity it uses a pure blue, then it seems to get more red as the probability increases.

3. How does this shape your understanding of the data?

The use of the difference in intensities helps to understand because you can see there are clear combinations for the two coordinates which yield very high probablities of hits, and you can see that clearly because the color is very red for those combinations.

4. If you liked the visualization, what is it doing well?

It gives a very clear image that if the speed off the bat is very high, it will probably be a hit. It also shows that with the right launch angle, there is a high probablity of a hit even without a ridiculously high speed off the bat. You can see this by looking at which parts show a red color for probability for which values of each coordinate.

5. If you disliked the visualization, what would you change?

Didn’t dislike.

Rpubs link: http://rpubs.com/ortizanthony001/HW1