379 search results for "boxplot"

Cascading style sheets for R plots (via the Rcssplot package)

April 23, 2015
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Cascading style sheets for R plots (via the Rcssplot package)

This post is contributed by Tomasz Konopka. Comments are welcome. [email protected] One of the great features of R is its capable graphics framework. In principle, the framework allows us to customize all aspects of the visual presentation of data. In practice, however, customization is rather tedious. For example, R’s own boxplot function has 17 custom arguments, not counting ...; stripchart has 20. Tweaking the default...

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Time Series Graphs & Eleven Stunning Ways You Can Use Them

April 22, 2015
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Time Series Graphs & Eleven Stunning Ways You Can Use Them

Many graphs use a time series, meaning they measure events over time. William Playfair (1759 - 1823) was a Scottish economist and pioneer of this approach. Playfair invented the line graph. The graph below–one of his most famous–depicts ho...

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Analysing The Rock ‘n’ Roll Madrid Marathon

April 18, 2015
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Analysing The Rock ‘n’ Roll Madrid Marathon

Nobody’s going to win all the time. On the highway of life you can’t always be in the fast lane (Haruki Murakami, What I Talk About When I Talk About Running) I started running two years ago and one if my dreams is to run a marathon someday. One month ago I run my first … Continue reading...

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Exploring San Francisco with choroplethrZip

April 7, 2015
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Exploring San Francisco with choroplethrZip

by Ari Lamstein Introduction Today I will walk through an analysis of San Francisco Zip Code Demographics using my new R package choroplethrZip. This package creates choropleth maps of US Zip Codes and connects to the US Census Bureau. A choropleth is a map that shows boundaries of regions (such as zip codes) and colors those regions according to...

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Predicting Mobile Phone Prices

April 6, 2015
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Predicting Mobile Phone Prices

Recently a colleague of mine showed me a nauseating interactive scatterplot that plots mobile phones according to two dimensions of the user’s choice from a list of possible dimensions.  Although the interactive visualization was offensive to my tastes, the JSON … Continue reading →

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Machine Learning in R for beginners

March 25, 2015
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Machine Learning in R for beginners

Introducing: Machine Learning in R Machine learning is a branch in computer science that studies the design of algorithms that can learn. Typical machine learning tasks are concept learning, function learning or “predictive modeling”, clustering and finding predictive patterns. These tasks are learned through available data that were observed through experiences or instructions, for example. The post

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R Package ‘smbinning': Optimal Binning for Scoring Modeling

March 24, 2015
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R Package ‘smbinning': Optimal Binning for Scoring Modeling

by Herman Jopia What is Binning? Binning is the term used in scoring modeling for what is also known in Machine Learning as Discretization, the process of transforming a continuous characteristic into a finite number of intervals (the bins), which allows for a better understanding of its distribution and its relationship with a binary variable. The bins generated by...

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Regression Models, It’s Not Only About Interpretation

March 22, 2015
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Regression Models, It’s Not Only About Interpretation

Yesterday, I did upload a post where I tried to show that “standard” regression models where not performing bad. At least if you include splines (multivariate splines) to take into accound joint effects, and nonlinearities. So far, I do not discuss the possible high number of features (but with boostrap procedures, it is possible to assess something related to...

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Part 3b: EDA with ggplot2

March 16, 2015
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Part 3b: EDA with ggplot2

In Part 3a I have introduced the plotting system ggplot2. I talked about its concept and syntax with some detail, and then created a few general plots, using the weather data set we've been working with in this series of tutorials. My goal was to show ...

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Israel’s 2015 election polls’ analysis with Shiny + ggplot2

March 16, 2015
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Israel’s 2015 election polls’ analysis with Shiny + ggplot2

(This is a guest post by my friend Yoni Sidi, a PhD candidate in statistics at the Hebrew University) Background The Israeli elections are coming up this Tuesday, 17/3/2015 (i.e.: tomorrow!). They are a bit more complicated than your average US presidential race. The elections in Israel are based on nationwide proportional representation. The electoral … Continue reading...

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