Quote of the Day
In Data Science, 80% of time spent prepare data, 20% of time spent complain about need for prepare data.
-Tweet from Big Data Borat. I must admit, I am amazed at the poor format of data on the web. I work with a lot of old WW2 data that was processed by human typists, so I understand the quality issues there. By there is no excuse for the poor formatting of machine-processed data today.
I was reading a post on Statista showing the NFL teams with the most Super Bowl wins. Since my staff includes a number of football fans - mainly Viking and Packer supporters - I decided it would be a good training exercise to show them how to gather the football statistics and present them in the same manner as shown on Statista. I should mention that I do not follow football at all; this is purely a data analysis exercise for me. So those who want to place bets using Sports Betting America after looking at the data can do so if they want, but for me, I just love the statistical analysis of it.
I used web resources and Power Query to generate an Excel workbook that I could then use to generate the charts I wanted. I duplicated the Statista graph in Figure 1. In addition to gathering the data, I also used a "bulk" substitution routine put together by Miguel Angel Escobar, also known by his Youtube handle as The Power User. My spreadsheet is available here.
In addition to duplicating the Statista chart, I also want to look at the number of Super Bowl losses. I live in Minnesota and our Vikings team has never won the Super Bowl, though it has made four appearances. Figure 2 shows a list of NFL teams ranked by their number of Super Bowl losses.
The Denver Broncos have the most losses with 5, but they also have had three wins. The Vikings, Patriots, and Bills have all have had four losses. While the Patriots have had five wins, neither the Vikings nor Bills have had even a single Super Bowl win.
In Figure 3 shows the number of Super Bowl appearances by teams with no wins. The Vikings and Bills lead this list. Things could be worse. Notice how the Jaguars, Texans, Lions, and Browns have never been to the Super Bowl. I especially feel sorry for the Lions and Browns, who have long established franchises.
I did put the data into table form, which I show in Table 1.
Table 1: NFL Super Bowl Statistics
Rank | Team | Games | Wins | Losses |
---|---|---|---|---|
1 | Pittsburgh Steelers | 8 | 6 | 2 |
2 | San Francisco 49ers | 6 | 5 | 1 |
3 | Dallas Cowboys | 8 | 5 | 3 |
4 | New England Patriots | 9 | 5 | 4 |
5 | Green Bay Packers | 5 | 4 | 1 |
6 | New York Giants | 5 | 4 | 1 |
7 | Los Angeles/Oakland Raiders | 5 | 3 | 2 |
8 | Washington Redskins | 5 | 3 | 2 |
9 | Denver Broncos | 8 | 3 | 5 |
10 | Baltimore Ravens | 2 | 2 | 0 |
11 | Baltimore/Indianapolis Colts | 4 | 2 | 2 |
12 | Miami Dolphins | 5 | 2 | 3 |
13 | New Orleans Saints | 1 | 1 | 0 |
14 | New York Jets | 1 | 1 | 0 |
15 | Tampa Bay Buccaneers | 1 | 1 | 0 |
16 | Chicago Bears | 2 | 1 | 1 |
17 | Kansas City Chiefs | 2 | 1 | 1 |
18 | St. Louis/Los Angeles Rams | 3 | 1 | 2 |
19 | Seattle Seahawks | 3 | 1 | 2 |
20 | Buffalo Bills | 4 | 0 | 4 |
21 | Minnesota Vikings | 4 | 0 | 4 |
22 | Atlanta Falcons | 2 | 0 | 2 |
23 | Carolina Panthers | 2 | 0 | 2 |
24 | Cincinnati Bengals | 2 | 0 | 2 |
25 | Philadelphia Eagles | 2 | 0 | 2 |
26 | Arizona Cardinals | 1 | 0 | 1 |
27 | San Diego/Los Angeles Chargers | 1 | 0 | 1 |
28 | Tennessee Titans | 1 | 0 | 1 |
29 | Cleveland Browns | 0 | 0 | 0 |
30 | Houston Texans | 0 | 0 | 0 |
31 | Detroit Lions | 0 | 0 | 0 |
32 | Jacksonville Jaguars | 0 | 0 | 0 |