Jonathan Gray (JG): How did you start sketching with data?

Mona Chalabi (MC): When I was working at FiveThirtyEight I felt that they weren't catering to readers like me. They were catering to a slightly different kind of reader with their complex interactives. During this time I began sketching with data, which I could do while sitting at my desk. As I started to do them I had this realization that they could be quite an effective way to communicate the uncertainty of data projects. They could remind people that a human was responsible for making all of these design decisions. They could be quite democratizing, communicating with data in a way that anyone can do. I used to write this DIY column at The Guardian which took people through every single step of my process. It was fun that as a journalist you could talk people through not only where you found your data, exactly how you processed it and what you did to it, but you could also enable them to replicate it, breaking down the wall between them and you, and hopefully creating new kinds of accessibility, participation and relationships with readers.

JG: In the book we explore how data journalists do not just have to mirror and reinforce established forms of expertise (e.g., data science and advanced statistical methods), but how they can also promote other kinds of data practices and data cultures. Do you consider your work to be partly about finding other ways of working with and relating to data?

MC: I don't have really advanced statistical skills. The way that I often start analyzing data is through relatively simple calculations that other people can replicate.