Data Science Explainer, Diversity, social justice

Channels of Information, or How Metro Trains Derailed its Passengers

It's a funny thing, but displaying information using multiple channels of information for folks with particular accessibility needs also helps everyone else, because it gives them more signals that their brain can decode in the background, even if they're not paying perfect attention (because who, in this age of devices, is ever paying perfect attention??)

Dr Kat Ross on Astrophysics, Bias in Science, and Including Diverse Scientists in Education

I might ask the same questions every time, but there's no knowing where the conversations will go! A fabulous episode with the incredible Dr Katherine Ross. Check it out! "So I think my favorite part about data is that it is completely unpredictable. And that may also be my least favorite part about it." "That’s… Continue reading Dr Kat Ross on Astrophysics, Bias in Science, and Including Diverse Scientists in Education

Data Science Explainer

Scaling scams

It's important, when you're making graphs, to think about the story you want to tell with the data, and what type of graph, and what features of the graph, will help you tell that story. Likewise, when you're looking at someone else's graph, we all need to apply that critical data literacy and look at the scale on the y axis, as well as checking the labels, finding out the origin of the data, and considering whether the graph is accurate, a valid way to display that data, and what story it might be trying to tell you.