stats / Uncategorized — Comments Off on The week in stats (Oct. 14th edition)
14
Oct 13
- The R is my friend blog publishes a series of four articles on neural networks. This is probably one of the most comprehensive introductions to neural networks in R. If you are in love with neural nets and want to learn even more, here is another tutorial by Saptarsi Goswami.
- State-by-state media preferences as revealed by bit.ly.
- Andrew Gelman, Professor of Statistics and Political Sciences at Columbia University, discusses why Bing is preferred to Google by people who aren’t like him.
- Have you heard of Simpson’s Paradox? Here is an interactive visual (using the 1973 Berkeley sex discrimination lawsuit as an example) that explains the paradox in 60 seconds.
- Dan Delany does a visual breakdown of furloughed employees due to the U.S. government shutdown. The main view shows furloughed proportions by department, and there are real time tickers for duration, estimated unpaid salary, and estimated food vouchers unpaid.
- If there is an 82% chance an an event will occur within your life time (and assuming that you live for 70 years), what is the probability that this event will occur on any given day?
- Tableau, the popular interactive data visualization tool, is coming out with a new 8.1 update, and it will include integration with the R language. Learn how to integrate the two in just 30 seconds.
- A short (but not trivial) lesson on data smoothing using R.
stats — 2 comments
07
Oct 13
- The picture above is a very well-known mathematical construction called the fractal cat. Brian Lee Yung Rowe shows how to construct fractal artworks using R.
- Arthur Charpentier of Freakonometrics explains how to construct ROC (
rate of change Receiver Operating Characteristic) curves in R, as well as how to interpret and plot them. This is a useful for those in fields that frequently encounter longitudinal data, such as finance, engineering or biostatistics.
- There are many kinds of intervals in statistics. To name a few of the common ones: confidence intervals, prediction intervals, credible intervals, and tolerance intervals. Each are useful and serve their own purpose. You should not only know their names, but also when to use them and why.
- A map of the most visited website for every country in the world (source: Alexa.com), as well as the internet population of each country.
- Suppose that you drop 5 blue marbles and 5 red marbles randomly (and uniformly) on the interval [0,1]. What is the probability that the marbles will interleave each other?
stats — Comments Off on The week in stats (Sept. 30th edition)
30
Sep 13
News — Comments Off on The week in stats (Sept. 23th edition)
23
Sep 13
- The Histomap of World History illustrates the rise and fall of various empires and civilizations through an increasing time series up to present day (because the original image is too large, we include a truncated version here in post). Did you know that you can create these visuals in R? Here is how to do them.
- When we deal with time series modelling and forecasting, many people start with sophisticated models like the ARIMA or the GARCH. Rob Hyndman of Monash University suggests that when forecasting daily data, unless the the time series is very long, the easiest approach is to simply set the frequency attribute to 7. Then any of the usual time series forecasting methods should produce reasonable forecasts.
- Kaiser Fung, the owner of the popular statistics blog Junkcharts, interviews Andrew Gelman.
- OpenStreetMap is crowdsourced map project. Thousands of users log in each day, and help to improve the map by updating their neighborhood. Here is a visualization of this amazing social fabric of individuals working together. Every user is assigned different color, and their updates are represented on this map. Take a look at how many people have been mapping near you.
- A series of four articles by Charlie Kufs of statswithcats on How to Write Data Analysis Reports.
- What is the limiting distribution of a sum of weighted Gaussian?
stats — Comments Off on The week in stats (Sept. 16th edition)
16
Sep 13
r / stats / Uncategorized — Comments Off on The week in stats (Sept. 9th edition)
09
Sep 13
Uncategorized — Comments Off on The week in stats (Sept. 2nd edition)
02
Sep 13
- Do you have a Master’s degrees in Statistics? Is it worth your time to get one? Jerzy Wieczorek, mathematical statistician at the U.S. Census Bureau. discusses his thoughts on postgraduate educations for statistician.
- The Karpov vs. Kasparov rivalry holds a special place in the chess world. The duo, (arguably) the two best players ever in the history of this game, played 201 matches over almost 35 years. The following analysis (with R visualizations) show which one of the two Russians deserves to be the best of all chess players.
- One piece of advice for all of you who are in the data visualization industry: hate the default.
- In July of each year, Forbes, in partnership with the Center for College Affordability and Productivity (CCAP), produces a ranking of 650 universities in the US. Vivek H. Patil, Associate Professor of Marketing at Gonzaga University, provides some neat visuals on the Forbes University Ranking. I reviewed a book that had a wonderful chapter about all the ways that law schools cheat to improve their public rankings.
- A stick randomly breaks into 3 pieces, what is the probability that the 3 pieces can form a triangle?
- How do people die? A display of ranked causes of death, and how they’ve changed since 1990.
- If you work with time series data frequently, you should learn how to convert daily observations into weekly/monthly data in R.
Uncategorized — Comments Off on The week in stats (Aug. 26th edition)
26
Aug 13
stats — Comments Off on The week in stats (Aug. 19th edition)
19
Aug 13
- Data science is emerging as a new, hot field, but is it really different from statistics? Wesley from statistical-research.com discusses why data science is more than just a title.
- Are you in the market research industry? If you ever run into incomplete data, here is how machine learning can help to fill in the gaps.
- This year, more than 6,000 people attended the Joint Statistical Meetings, the largest statistical meeting in the world. If you missed the 2013 JSM, this summary will bring you up to speed.
- Why an infinite number of monkeys (or even just one monkey!) will eventually crank out a complete play every bit as melodramatic as The Bard’s famous Hamlet.
- Egon Pearson (11 August 1895 – 12 June 1980) is one of the most prominent figures in the history of statistics. His most important contributions include the Neyman-Pearson (1933) theory of hypothesis testing, and promoting statistical methods in industry. However, most people fail to realize that Pearson’s contributions go well beyond hypothesis testing. Here are some early pioneering works of Pearson that have been neglected.
stats — Comments Off on The week in stats (Aug. 12th edition)
12
Aug 13
