Creating relatable data viz - lessons from India with Reuter's Gurman Bhatia

This is a past event

41 people went

WeWork 22 Cross Street

22 Cross St · Singapore

How to find us

The entry to WeWork is beside an overhead bridge, right next to Wang Dae Bak Korean BBQ Restaurant and What's Pide. Take the blue stairs up to the 2nd floor for the event.

Location image of event venue


**What is the talk about?**
There is a popular notion that numbers are dry and boring. But that need not be the case. Through the Reuters Graphics coverage of the Indian election and pollution, we look at ways in which we can make national stories relevant for a global audience. Sometimes that might involve using 8,500 photos of candidates in the election, other times it might be installing a camera on a roof to see what pollution “looks” like.

**Who is Gurman Bhatia?**
She is a data and graphics journalist at Reuters where she tells stories with code. Her work ranges from data extraction and analysis to making visualisations that best tell those findings. She has previously worked at The Hindustan Times in India and investigative teams in local newspapers in the United States.

**About event and housekeeping**
Big thanks to WeWork, who is graciously hosting this event. As there are limited seats at the location, we will cap the maximum number of attendees. If you are not coming, please release your slot so that others who are interested can attend.

Often many folks register but don't show up, which is unfair to other attendees and makes things difficult for hosts. I beg your understanding on this.

If you are really interested and want to gatecrash, ping me and I'll help with any registration at location.

We never serve food and drinks at our public talks, so please eat before coming, or you can join us for dinner/snacks after the event!

This is cross posted with our sister meetup group Data Vis SG