Makeover Monday: The Wealth Gap



For Makeover Monday, I wanted to tell the story of how the wealth gaps between the Bottom 90% and Top 0.1% of households have changed over time.  To illustrate this, I chose a dumbbell chart to emphasize the gaps over time.  Once I had built the chart, there were some obvious changes in the wealth gaps over time.  I researched each and annotated with the appropriate points.

Links to sources for the commentary can be found below:

https://en.wikipedia.org/wiki/Wall_Street_Crash_of_1929
https://en.wikipedia.org/wiki/New_Deal
https://en.wikipedia.org/wiki/G.I._Bill
https://en.wikipedia.org/wiki/Black_Monday_(1987)
https://en.wikipedia.org/wiki/Financial_crisis_of_2007%E2%80%932008

Makeover Monday: How Repetitive are the Top 100 Songs of All Time?





For this Makeover Monday, I wanted to be able to show the songs with the most repetition as well as where the repetition falls within each song.

I calculated the percent of unique lyrics (unique lyrics/total lyrics), and then sorted the songs by this metric. "Hound Dog" by Elvis Presley is the most repetitive song in the list given that only 13.6% of the lyrics are unique. Once I had sorted the songs, I wanted to show where within each song the lyrics were repeated.

To do this, I came up with the Lyric Appearance Ratio. This is a metric I created to quantify how repetitive a lyric is within a song. It is the unique count of each word within a song divided by the total number of unique words within a song.

For example, the word "you" appears in the song "Hound Dog" 25 times and there are 31 unique words. This is a ratio of .81, which is highly repetitive.

ESPN's All-Time NBA Ranks



I recently came across ESPN's All-Time NBA Ranks list, and it made me curious about how the players in the list compare.  I wanted to be able to view all of their ranks across the five major statistical categories.  I built this visualization using parallel coordinates so that I could click on a player and easily see how they compare amongst their peers.  One caveat I must mention is that I had to remove players where all five stats weren't tracked.  That's why you don't see Wilt Chamberlain or Bill Russell in this list.

Using parallel coordinates, we are able to see "player profiles."  What I mean by this, is you can visualize the type of player by seeing their ranks across all five stats.

For example, John Stockton is last in points and rebounds but second in assists and steals.  His profile looks like a defensive point guard.



Whereas Kareem Abdul-Jabbar is 3rd in rebounds and 3rd in blocks and 6th in scoring.  His profile looks like scoring Center.



I also wanted to be able to see the actual statistics, so I created a drill-down when clicking on any of the squares.  If you click on one of the points per game ranks, you have the option to drill down to the detailed stats view.


The Decline of the 1,000 Yard-Rusher