Book review: Invisible Women

"Most of recorded human history is one big data gap." In her book Invisible Women, Caroline Criado Perez illustrates with tenths of real-world examples and scientific studies how women are being discriminated against in all areas of everyday life: from housing and public transport planning, to cars and smartphones design and, maybe most obviously, healthcare... Continue Reading →

Women in Data – Berlin Chapter kick-off

Women in Data is a non-profit organization dedicated to increasing diversity in data-related careers. To this goal, they organize networking events, talks on data science topics and career advice, and a residency program for aspiring data scientists with partner companies like IBM and KPMG. WiD was founded in 2015 in Sacramento, California, and has since... Continue Reading →

Data Science books to read during lockdown

If you're reading this post around its publishing date in April 2020, chances are you're at home, responsibly isolating yourself amid COVID-19 curfews around the world. What a better time than now to read actual books on data-related topics, that you've been postponing for too long in favor of short articles... To give you some... Continue Reading →

DataLingo is now on Instagram!

Yes, I just took my data science enthusiasm to a whole new level. I created the Instagram account datalingo, where I rhapsodize about data science, visualizations, Python libraries, and my love for ThinkPads and Pop!OS.But beside sharing my knowledge and learning progress, I aim to connect with data enthusiasts around the world and to raise... Continue Reading →

Goodreads Reading Challenge 2019

As the year is almost over, it’s time to review my one and only resolution that I've been sticking to for the past four years: the Goodreads Reading Challenge. For 2019 I set quite a reasonable goal of reading 24 books, an average of two per month. To combine my love for literature and data... Continue Reading →

Web Scraping IMDb with R

Web scraping is a method of automatically gathering data from websites in a structured manner and saving it into a local database or spreadsheet. Why would you do this? Maybe you want to compare the prices of similar products from different companies, or generate leads for your sales team, or find trend in a certain... Continue Reading →

Blog at

Up ↑