St. Louis Blues Players Performance at the All-Star Break

 The NHL All-Star break is the perfect time to get caught up on player stats and to take a look at their performance during the first half of the season.  I haven't published anything for a while and I've been dying to do a hockey viz.  So I took advantage of the empty schedule, scraped the data, and here are the results.

Which NHL players benefit from more shifts?: Official Entry for Tableau Sports Data Viz Contest (2 of 2)

Tableau allows us to enter up to two visualizations in their contest.  So after building the monster Explore NHL Player Stats I took some time to figure out what a more manageable data visualization would look like based off the results I was getting from exploring the player stats.

I have always been a fan of the plus/minus stat.  I always thought it was a good way to measure how well players play together on the ice.  A player's plus/minus increases by +1 when their team scores while that player is on the ice.  However, it also decreases -1 whenever the opponent scores while that player is on the ice.  I compare that against the average number of shifts a player has during a game and we can start to see which players benefit from having more shifts. 

It is another scatter plot, but with the filters, you can narrow your view and compare conferences and divisions and teams.  I also added a box based off of the min and max values for shifts and plus/minus.  This allows you to compare how groups of players (divisions, conferences, teams) compare against one another.  However, before you get that far, just take a look at the visualization as is.  Which conference's players seems to have a better plus/minus the more shifts they have?

Let me know what you think!