Tufte in R
6th of July 2017: (1) New category - interactive plots made in Tufte-style with R - the first addition is basic line plot and basic barchart with the use of package highcharter; (2) Revised slopegraph in base graphics - Thomas Leeper has implemented his slopegraph functions into development version package on GitHub; (3) Revised sparklines in lattice get a gray bands (thanks to Bryan Urban for sha
The Best in Tech [Technology Reviews and How-to Guides]
Here at The Best In Tech you will find technology reviews and how-to guides. We are dedicated to helping people find the information they need to work with technology, and the reviews they need to make informed purchasing decisions. You no longer need to be a tech wiz to set up multiple projectors at a time for a presentation, and you definitely don’t need to be a music producer to know which digi
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ŷhat | What's new in ggplot-0.4?
ggplot is a graphics package for Python that aims to approximate R's ggplot2 package in both usage and aesthetics. This is a post summarizing the latest fixes and enhancements in the ggplot-0.4 release. Tidying up our mess The positive reaction to ggplot from the onset was, candidly, a bit overwhelming! We'll be the first ones to admit that the first cut was a little...err...rough. But we've been
ŷhat | ggplot for python
Analytical projects often begin w/ exploration--namely, plotting distributions to find patterns of interest and importance. And while there are dozens of reasons to add R and Python to your toolbox, it was the superior visualization faculties that spurred my own investment in these tools. Excel makes some great looking plots, but I wouldn't be the first to say that creating charts in Excel involve
ggplot2, Choosing colour palettes. Part II: Educated Choices.
Choosing colour palettes. Part II: Educated Choices. There are many resources on the use of colours in R, several packages, and a number of schemes already implemented in ggplot2. In the previous part, we saw how ggplot2 selects a default colour palette according to the type of variable, discrete or continuous. There are further options, illustrated below: Choosing colours for a graphic is always
ggplot2できれいなグラフ
This document introduces ggplot2, an R package for creating graphs and plots. It discusses the core components of ggplot2 including ggplot() for initializing plots, geom for geometries like points and lines, stat for statistical transformations, and opts for setting plot options. It provides examples using the mtcars dataset to demonstrate how to create scatter plots and add regression lines using
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GitHub - yhat/ggpy: ggplot port for python
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Messy Mind » Making matplotlib look like ggplot
Plotting data and distribution simultaneously (with ggplot2)
Graphing Predicted Legislative Violence with Zelig & ggplot2