Dzifa Amexo discusses her data career journey and why you should be reading her Yelp reviews.

Brunch with Dzifa. This past labor day weekend Sarah Rodriquez, Dzifa Amexo and myself met up in person for the first time. It was a fun and emotional reunion of sorts. Like most pandemic friendships of late, we all met online. Sarah and I met on a data literacy Slack channel and have been collaboratingContinue reading “Dzifa Amexo discusses her data career journey and why you should be reading her Yelp reviews.”

Using Data to Address Racial Bias in Soccer Commentary

Article by Adedamola Ladipo, Photo by Pixabay The 2020 Union of European Football Associations (UEFA) European Football Championship in summer 2021 was one of the most exciting soccer tournaments in years. Following the highs and lows of each match, I was left feeling inspired to create a soccer-related data visualization. After some searching, I cameContinue reading “Using Data to Address Racial Bias in Soccer Commentary”

Sarah Bartlett Reflects on Women in Iron Viz and Representation

Post by Sarah Bartlett. Photo by energepic.com from Pexels Firstly, I would like to thank Be Data Lit for the opportunity to write this post. Following the 2021 Iron Viz final, I posted a thread on Twitter that summarised my thoughts following Lisa Trescott’s monumental Iron Viz win. Allen Hillery reached out to me after seeing this threadContinue reading “Sarah Bartlett Reflects on Women in Iron Viz and Representation”

Getting to Know 2021 Iron Viz Winner, Lisa Trescott!

by Allen Hillery Lisa Trescott won the 2021 Iron Viz competition with dazzling and concise visuals and awesome storytelling! For those who may not know about Iron Viz, it’s the largest data visualization competitions where contenders from around the globe compete for bragging rights and a $10,000 cash prize and $5,000 towards a non-profit ofContinue reading “Getting to Know 2021 Iron Viz Winner, Lisa Trescott!”

Alice Boone McKnight on Blazing a New Career Path with Data

“You can gain so much inspiration from someone’s story; for someone like me who found themselves using data as part of their work unexpectedly, seeing people who didn’t have traditional backgrounds in data analysis or data science helped motivate me to continue the path.”