July 2012
4 posts
3 tags
Soda vs. Pop vs. Coke on Twitter →
via Nathan Yau at flowingdata we find Edwin Chen using twitter to gain insights into current cultural trends, we see that “Coke” is the dominant phrase in ROW (Rest Of World), but has limited penetration in the US. This makes sense, since Coke dominates the international markets with 50%+ market share versus the 20%+ that Pepsico has.
2 tags
Venture Capital Returns by Vintage
Drew Conway’s blog is worth following if you’re interested in the intersection of politics and data science. But I came across this old post he did of VC returns by vintage for a publicly released Calpers data set and thought I would link to it here.
3 tags
Exploring the Tour de France with R and ggplot2 →
Some stunning visualizations of the Tour de France.
3 tags
The Banking Industry Returns Thru the Financial...
I recently took some high level data from the companies covered in the
Value Line Investment Survey (both the Standard edition and the Small
and Mid-Cap edition) and decided to plot it out to see how bank
valuations have flexed over the last several years. All data is
courtesy of ValueLine (from 2003-2011) and all plots were made
with ggplot and
R. This isn’t the most rigorous of...
June 2012
1 post
2 tags
Analysis of the court strength of the Miami Heat... →
Via the New York Times comes this stunning visual analysis of the courtside strengths of the respective teams. I think what’s most amazing is how close the teams are statistically (47% accuracy for Heat vs. 47.1% accuracy for the Thunder) on a team wide basis. However, when you start diving into the stats you see that the Heat plays the midrange more than the Thunder.
Also, Durant and...
