A love letter to a function that says it all — When reviewing someone’s code, are there any signs that tell you this is a good piece of code? It can be the code structure, style, commented documentation, tabs or spaces, or anything else that makes you say, “this all makes sense.” To me, all that is needed to make that…

As a teenager, I remember the excitement around each new episode of the reality TV show ‘Survivors’. While the viewers were given close to real glimpses to the characters intrigues and strategies, we all know that the real insights are hidden in the raw data. A new public dataset was…

The most exciting event for my kids, especially during COVID-19 times, is to open delivery boxes that arrive at our front door almost on a daily basis. …

Perhaps not the most elegant way to do it, but worth it for the catchy title — Long piped R commands… Some loves it, and some don’t! When you want to shoot an impressive complex falling domino tiles video, are you going to take the risk of accidentally flip one cube before it is completed, and ruin the whole thing, or would you prefer break it into…

5 minutes to create the animation. 50 minutes to figure out how to embed into Medium In my previous blog post I visualized mobility data from the Covid-19 Open data project. This blog post will demonstrate another popular visualization, a race bar chart animation. …

Visualizing mobility data trends of Saxophone shape graphs — Rumor has it that COVID-19 is a great opportunity to show your data-science / analytics skills, and you don’t have to be an epidemiologist in order to share your 2 cents with the world. Well… here is my attempt. Google has shared a public data set about daily mobility across…

From a data-science perspective. — TL; DR: What is the wildest wish list you have for a software tool? Go crazy, ask yourself what-if I want to take this and that, and combine/compare/compose them together in a minimal effort? Most likely someone else, a domain expert, has already figured a good way to solve it…

written on December, 2019. My previous post from mid 2018 described my learning experience with R packages for ‘meta’ machine learning aggregator packages: mlr, caret and SuperLerner. …

From a data-science perspective. — You’ve got a fresh new project on your desk, some exciting data, a challenging Kaggle competition, a new client you wish to impress, and you are fully motivated. At first, the problem seems to be well defined, and you even feel comfortable with the task in hand. You have just…