One other thing to note, is that instead of the focus being on the overall distribution (as it was for the previous two examples) the focus is now on individual baseball players. With these reference lines you get to take a bunch of random points and tell a cohesive story that is easy for the reader to grasp. The players in the lower right contribute less but are paid more. It includes two reference lines showing average (one for the x axis and the other for the y axis) which splits the chart into 4 quadrants.īasically the chart suggests that the players in the upper left quadrant are paid less than average but contribute more than average to their team’s success. The following chart shows a baseball stat (wins above average) against a players salary. NY Times – Learning Network – What’s Going On in This Graph? | Nov. Annotations and reference lines are incredibly useful in scatter plots. The creator of the chart also added a single reference line, communicating what they see in the chart to the user. It’s not a simple linear relationship, and the distribution of data points shows that. The following scatter plot tells a story of how much cruising time is spent by rideshare drivers compared to trip requests. NY Times – Learning Network – What’s Going On in This Graph? | Women Marathoners’ Running Times The line chart would have told the same story, but seeing the underlying data lets us see that it’s not just a few outliers bringing up the average. They could have instead, taken the average of the top 50 times for each year and drawn a line chart. Ultimately, it tells the story of marathon runners getting faster. It shows the fastest women’s marathons each year. They are one of the best ways to pack a ton of data into a single chart. There are all sorts of things you can do with scatter plots.
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