Visualizing Neural Networks in Processing (Java)

Coding Train is a Youtube channel by Daniel Shiffman that covers anything from the basics of programming languages like JavaScript (with p5.js) and Java (with Processing) to generative algorithms like physics simulation, computer vision, and data visualization. In particular, these latter topics, which Shiffman bundles under the label "the Nature of Code", draw me to the … Continue reading Visualizing Neural Networks in Processing (Java)

Short ggplot2 tutorial by MiniMaxir

The following was reposted from minimaxir.com   QUICK INTRODUCTION TO GGPLOT2 ggplot2 uses a more concise setup toward creating charts as opposed to the more declarative style of Python’s matplotlib and base R. And it also includes a few example datasets for practicing ggplot2 functionality; for example, the mpg dataset is a dataset of the performance of popular models of cars … Continue reading Short ggplot2 tutorial by MiniMaxir

Networks Among #rstats Twitterers

Reposted from Kasia Kulma's github with minor modifications. Have you ever wondered whether the most active/popular R-twitterers are virtual friends? 🙂 And by friends here I simply mean mutual followers on Twitter. In this post, I score and pick top 30 #rstats twitter users and analyse their Twitter network. You’ll see a lot of applications of rtweet and ggraph packages, as … Continue reading Networks Among #rstats Twitterers

t-SNE, the Ultimate Drum Machine and more

This blog explains t-SNE (t-Distributed Stochastic Neighbor Embedding) by a story of programmers joining forces with musicians to create the ultimate drum machine (if you are here just for the fun, you may start playing right away). Kyle McDonald, Manny Tan, and Yotam Mann experienced difficulties in pinpointing to what extent sounds are similar (ding, dong) … Continue reading t-SNE, the Ultimate Drum Machine and more

R Resources (Cheatsheets, Tutorials, & Books)

Last Updated: 18-08-2017 Over the years, I have collected many open-source R resources, and I thought it nice to share them with the public. The list below is ever growing so if you have additions, please comment below or contact me! R Basics Cheatsheet: R Base Cheatsheet Cheatsheet: R Base Functions Reference Card Cheatsheet: R Advanced … Continue reading R Resources (Cheatsheets, Tutorials, & Books)

Harry Plotter: Celebrating the 20 year anniversary with tidytext and the tidyverse in R

It has been twenty years since the first Harry Potter novel, the sorcerer's/philosopher’s stone, was published. To honour the series, I decided to start a text analysis and visualization project, which my other-half wittily dubbed Harry Plotter. In several blogs, I intend to demonstrate how Hadley Wickham’s tidyverse and packages that build on its principles, such as tidytext (free book), have taken programming in R … Continue reading Harry Plotter: Celebrating the 20 year anniversary with tidytext and the tidyverse in R

Text Mining: Shirin’s Twitter Feed

Text mining and analytics, natural language processing, and topic modelling have definitely become sort of an obsession of mine. I am just amazed by the insights one can retrieve from textual information, and with the ever increasing amounts of unstructured data on the internet, recreational analysts are coming up with the most amazing text mining … Continue reading Text Mining: Shirin’s Twitter Feed

‘Wie is the Mol?’ according to Twitter – Part 1 (s17e1)

This is a repost of my Linked-In article of January 10th 2017. The Dutch version of this blog is posted here. TL;DR // Summary In order to analyze which of the contestants of a Dutch television game show was suspected of sabotage by public opinion, 10,000+ #WIDM tweets were downloaded and analyzed. Data analysis of … Continue reading ‘Wie is the Mol?’ according to Twitter – Part 1 (s17e1)

tidyverse 101: Simplifying life for useRs

In a recent post, I provided an example of how Hadley Wickham's tidyverse has improved the workflow of analysts, makes coding errors less likely, and the code more transparent. In this current post, I provide a more general overview of the tidyverse, its packages, and how they work. The figure below represents a simplified project workflow … Continue reading tidyverse 101: Simplifying life for useRs