Subject ▸ visualization of data

Collection of TikZ Bar Plots

16 August 2021

Introduction This is a repository of the best TikZ examples I have found around the web and from papers, slides, tutorials, and books. Most of the examples are simple enough to encourage anyone to start learning TikZ. By having the result (graphic) on a web page, and be able to click on it to see the code, it rapidly helps to make the connection between code and output. I find this idea fantastic.

A Matplotlib book with Rmarkdown

28 December 2020

visualization of data, reproducibility

Introduction The goal of this repo is testing that Python matplotlib works seamlessly from within RStudio. Motivation Making matplotlib run from within RStudio using the R package reticulate and Python Anaconda has improved a lot in the past few months. The package reticulate and RStudio have gone through a thorough transformation and now seems to be an accepted fact that Python and R have to live along. Examples I have included some working examples of Rmarkdown notebooks with Python matplotlib plots.

Building the book dataviz-wilke with Docker

13 July 2020

reproducibility, data science, visualization of data

dataviz-wilke 2020 This book “Fundamentals of Data Visualization` by Claus Wilke has been made fully reproducible using a Docker container. The compiled book can be read online here. The original repository of the book is in GiHub at this link, and can also be read online here. The book is great at learning advanced visualization techniques using R without focusing too much on the code but rather on universal, timeless best practices.

A book review: Fundamentals of Data Visualization

11 September 2018

visualization of data

I just finished reading the new book on data science called Fundamentals of Data Visualization by Claus Wilke. When I say reading I mean going and drill down on the topics that interests me. You cannot really never end this kind of book; it is a perennial. We are so fortunate that we can enjoy a book of this quality. Although the book has been written in R with Rmarkdown and the graphics generated with the package ggplot2, among others, the book is not about R; it is about data visualization.

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