Browsed by
Tag: data analysis

Causal Inference cheat sheet for data scientists

Causal Inference cheat sheet for data scientists

Being able to make causal claims is a key business value for any data science team, no matter their size.Quick analytics (in other words, descriptive statistics) are the bread and butter of any good data analyst working on quick cycles with their product team to understand their users. But sometimes some important questions arise that need more precise answers. Business value sometimes means distinguishing what is true insights from what is incidental noise. Insights that will hold up versus temporary marketing…

Read More Read More

Comment expliquer la baisse de participation aux municipales 2020 ?

Comment expliquer la baisse de participation aux municipales 2020 ?

Dimanche dernier, le 15 mars 2020, la France a organisé le premier tour des élections municipales, après avoir annoncé une fermeture des écoles puis des restaurants et commerces non essentiels. La participation à ce scrutin s’établit à 44,64 %, en chute de 20 points par rapport à 2014, date des précédentes élections municipales (voir une très belle carte du Monde ici, assez illustrative de la situation) Ce rapide billet ne s’attardera pas sur la question de savoir s’il fallait ou…

Read More Read More

Data analysis of the French football league players with R and FactoMineR

Data analysis of the French football league players with R and FactoMineR

This year we’ve had a great summer for sporting events! Now autumn is back, and with it the Ligue 1 championship. Last year, we created this data analysis tutorial using R and the excellent package FactoMineR for a course at ENSAE (in French). The dataset contains the physical and technical abilities of French Ligue 1 and Ligue 2 players. The goal of the tutorial is to determine with our data analysis which position is best for Mathieu Valbuena 🙂 The dataset A small precision…

Read More Read More