3009 search results for "ggplot"

Data Mining the California Solar Statistics with R: Part II

May 4, 2015
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Data Mining the California Solar Statistics with R: Part II

Data Mining the California Solar Statistics with R: Part II In today's post I'll be working some more with the working data set from California Solar Statistics. Last time I imported the data, cleaned it up a bit, grouped it by county and year, and made some plots to look at how residential solar installations

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Cohort Analysis with Heatmap

Cohort Analysis with Heatmap

Previously I shared the data visualization approach for descriptive analysis of progress of cohorts with the “layer-cake” chart (part I and part II). In this post, I want to share another interesting visualization that not only can be used for descriptive analysis as well but would be more helpful for analyzing a large number of cohorts.... Read More »

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Should I use premium Diesel? Result: No

May 2, 2015
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Should I use premium Diesel? Result: No

A while ago I had a post: 'Should I use premium Diesel? Setup. Since that time the data has been acquired. This post describes the results.DataData is registered by me in 2014 and 2015. 2014 has standard Diesel, while 2015 has premium. Both are fr...

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Circle packing in R (again)

April 29, 2015
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Circle packing in R (again)

Back in 2010 I posted some R code for circle packing. Now, just five years later, I've ported the code to Rcpp and created a little package which you can find at GitHub.The main function is circleLayout which takes a set of overlapping circles and tries to find a non-overlapping arrangement for them. Here's an example:

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R, Python, MATLAB, & Excel Dashboards & Graphs with D3.js & WebGL

April 29, 2015
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R, Python, MATLAB, & Excel Dashboards & Graphs with D3.js & WebGL

Web tools like D3.js and WebGL let you make beautiful, interactive 2D and 3D graphs. You can now publish graphs and dashboards with these technologies using Python, R, MATLAB, & Excel. Publishing and sharing is one extra line of code. This post puts you on your way, no downloads or installations required. We’ll start with ggplot2; scroll to see Python and MATLAB plots in 2D and 3D. See our

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Winning streaks in baseball

April 28, 2015
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Winning streaks in baseball

How rare are winning streaks in baseball? The post Winning streaks in baseball appeared first on Decision Science News.

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Doing quantitative archaeology with open source software

April 25, 2015
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(This is a guest post by Ben Marwick, originally published on ATOR blog) This short post is written for archaeologists who frequently perform common data analysis and visualization tasks in Excel, SPSS or similar commercial packages. It was motivated by my recent observations at the Society of American Archaeology meeting in San Francisco – the largest annual meeting of archaeologists in the...

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Dashboards in R with Shiny & Plotly

April 24, 2015
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Dashboards in R with Shiny & Plotly

Shiny is an R application that allows users to build interactive web applications easily in R! Shiny apps involve two main components: a ui (user interface) script and a server script. The ui script controls the layout of the app and the server script controls what the app does. In other words, the ui script creates

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Data Mining the California Solar Statistics with R: Part I

April 24, 2015
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Data Mining the California Solar Statistics with R: Part I

Data Mining the California Solar Statistics with R: Part I Intro Today I’m taking a look at the data set available from California Solar Statistics availalbe from https://www.californiasolarstatistics.ca.gov/. This data set lists all the applications for state incentives for both residential and commercial systems, it contains information about the PV (Photovoltaic) system size, location, cost,

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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 [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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