How Fast the Fastest Human Would Run 100m?

People have used extreme value theory to predict the records in various sports. Here is an articles which provides codes to visualize the same. One can update the dataset to take into account latest records. It's interesting to see how this updation affects the estimates:

http://www.r-bloggers.com/how-fast-the-fastest-human-would-run-100m/

Where nobody lives

Despite having a population of more than 310 million people, 47 percent of the USA remains unoccupied. Here is a map showing places where nobody lives:

http://flowingdata.com/2014/04/18/where-nobody-lives/

Mapping a century of earthquakes

Did you know that United States Geological Survey maintains an ever growing archive of earthquakes detected around the world, and they make it easy to query and download?

Here is how you can map that data using R:

http://flowingdata.com/2014/04/15/mapping-a-century-of-earthquakes/

Global Flow of People

A very cool representation of global migration flows between all countries using R:

http://www.r-bloggers.com/circular-migration-flow-plots-in-r/

Don't miss this link and check out the migration pattern of your country:
http://www.global-migration.info/

Photoshop via Clustering

"Do not believe anything: what artists really do is to hang around all day."
-Paco de Lucia
It seems clustering is the new way to Photoshop.. one gets different variations with different no. of clusters..
PS: Don't miss the video link in the end.

http://www.r-bloggers.com/warholing-grace-with-clara/

Oldies but Goldies: Some Classical Books on Statistical Graphics

The article below highlights some interesting things about three classical books on statistical graphics. The books are old but still relevant and together they give a sense of the development of exploratory graphics in general and the graphics system in R specifically as all three books were written at Bell Labs where the S-language was developed.

http://www.r-bloggers.com/oldies-but-goldies-statistical-graphics-books/

Getting to The Heart of it With Monte Carlo

You only need two functions to draw a heart mathematically. Once you draw a heart, by using these two function, one can easily compute the area by using Monte-Carlo techniques. Details can be found at:

http://www.r-bloggers.com/shoot-the-heart-with-monte-carlo/

Wolfram Personal Analytics for Facebook

Recently you might have been enjoying personal #FacebookIs10 videos.. Now it is time to take a look at the stats behind your Facebook profile with Wolfram Personal Analytics..
Right from Statistics of your posts, their weekly distribution, post lengths to word cloud, top commenters and sharers..

http://www.wolframalpha.com/facebook/

Amount of snow to cancel school

Following link gives an interesting visualization showing an estimated amount of snow required to close school for the day, by county. It's not simply directly proportional to the amount of snowfall as school cancellation is the result of more snow than an area is used to handling
http://flowingdata.com/2014/01/31/amount-of-snow-to-cancel-school/

Comparing multiple (g)lm in one graph

It is already possible to compare multiple models as table output, here the author has built a function that plots several (g)lm-objects in a single ggplot-graph:

http://www.r-bloggers.com/comparing-multiple-glm-in-one-graph-rstats/

History through the president’s words

Studying president's choice of words, over time, provides glimpses of change in American politics. Check out different tabs.. Eg. Foreign policy gives a very clear picture of how relations evolved with various countries..

http://www.washingtonpost.com/wp-srv/special/politics/2014-state-of-the-union/language-of-sotu/

Public transit times in major cities

Here is an interesting visualization..

http://flowingdata.com/2014/01/27/public-transit-times-in-major-cities/

You can select the time of the day and day of the week,  and get a realistic estimate of how long it takes to get from point A to point B. There is also an interesting comparison option, which lets you choose two locations to see which area will get you somewhere else faster. 

A century of passenger air travel

Kiln and the Guardian explored the 100-year history of passenger air travel, and to kick off the interactive is an interactive map that uses live flight data from FlightStats. The map shows all current flights in the air right now. Be sure to click through all the tabs. They're worth the watch and listen, with a combination of narration, interactive charts, and old photos.

http://flowingdata.com/2014/01/22/a-century-of-passenger-air-travel/

The Music Timeline

The Music Timeline shows genres of music waxing and waning using stacked area chart. Each stripe on the graph represents a genre; the thickness of the stripe tells you roughly the popularity of music released in a given year in that genre.

http://flowingdata.com/2014/01/17/music-timeline-of-plays-and-history/

Timeline of Statistics

Check out this precise yet detailed "timeline of statistics" published by Significance magazine to celebrate its 10th anniversary..

http://onlinelibrary.wiley.com/doi/10.1111/j.1740-9713.2013.00707.x/abstract

Lexical distance between European languages

So why is English still considered a Germanic language and not the  Latinate one? How do you measure the proximity in linguistic families? Read more at:

http://flowingdata.com/2014/01/14/lexical-distance-between-european-languages/

How Much Time to Conceive?

One of the most important questions that people ask when they make the decision to have a child is: how long is it going to take us to get pregnant? The probabilities mentioned by doctors provide an answer to this question. But these probabilities are estimates at best (albeit, no doubt, educated estimates!) and are associated with some not insignificant uncertainties. Here is an approach to judge how important is the value of the monthly probability in determining the time to conception, using basic probability distributions and R visualisations:

http://www.r-bloggers.com/how-much-time-to-conceive/

Bodily maps of emotions

Emotions are often felt in the body, and somatosensory feedback has been proposed to trigger conscious emotional experiences. As one would expect, the body looks like it shuts down with depression, and it lights up with happiness, but it's the subtle differences that are most interesting. Read how statistical classifiers were used to distinguished emotion-specific activation maps accurately:

http://flowingdata.com/2014/01/02/body-maps-show-where-we-feel-emotion/

Experience the thrill of touching real data

The story of one man's efforts to re-analyse the stats behind a BBC report on bowel cancer is a heartwarmingly nerdy one:

http://www.theguardian.com/commentisfree/2011/oct/28/bad-science-diy-data-analysis

Animation of the Construction of a Confidence Interval

The confidence interval is one of the more tricky statistical concepts. A way of explaining confidence intervals is as the region of possible null hypotheses resulting in corresponding significance tests that are not rejected. Turns out it is not easy to make a corresponding nice explanatory animation either, but that’s what has been tried here:

http://www.r-bloggers.com/an-animation-of-the-construction-of-a-confidence-interval/