3 Quick Ways To Perfect Graph Edge Labels

Fix Inconsistent Grap Edge Lables

You gather your data, choose the best layout, and find an analysis method that gets your users the insight they need. But before you can declare victory, you need to assign meaning to the objects in your graph. Adding labels to nodes and edges might seem easy enough, but sometimes—especially with graph edge labels—their placement can cause readability issues. Since a “messy” presentation can compromise the message and meaning of your graph visualization, you’ll want to do all you can to prevent these.

Graph Edge Labels that are rotated, centered, and placed over each edge.

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Rounding the Bases

We can’t quit you, baseball! The season might be over, but we want more. So, we’re dipping into the baseball data to see what else we can learn. Read on for one more run around the bases!


Put Me In, Coach

This season, all anyone talked about was home runs. There were 6,770 homers hit during the regular season this year. That’s 665 MORE than the previous record! And exactly half of the teams in the league set franchise home run records. Holy homer! 

But, do all these home runs lead teams to the playoffs? We looked at the past five years (2014-2019), pulling the top five teams for home runs in each year. Edge colors indicate:

  • Blue Edge: Appeared in playoffs
  • Green Edge: Won the World Series
  • Orange Edge: Neither won nor appeared in the playoffs

Here’s the result:

How do other stats affect a team’s success? To find out, we layered in Earned Run Average (ERA), Strikeouts (SO), and Runs Batted In (RBI) one by one.

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Field of Graphs

2019 marks the 115th year for World Series baseball in the United States. In a year when home run records were smashed with authority, we thought we’d take a look at America’s pastime through the lens of graph visualization. 

Simple trade history of Washington Nationals star pitcher “Mad Max” Scherzer

Over the next several weeks, we’ll ask two fundamental questions about Major League Baseball (MLB):

  1. Who’s on the playoff team rosters?
    Do most players start on other teams? Which players have been traded and from which teams?

  2. What’s with all the homers?
    6,770 home runs were hit during the regular season this year–a new record! Sure, they’re fun to watch, but do they lead teams to the playoffs or the World Series?

Let’s pull some data, make some graphs, and see what we can figure out. Today we’ll:

  • walk through the over-arching process, using MLB datasets as our subject
  • drop some knowledge about how the graphs were created
  • show how we used the customization tools resident in Tom Sawyer Perspectives to easily tailor the graphs to show important statistics  we can use in our analysis

Come on…let’s play ball!

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