The way we define the data we measure can completely change the results that we get.
Tag: DataScience
The Importance of Zero – A Graph Crimes Story
Why does it matter if the Y axis doesn't start at 0? Let's see!
Graph crimes. (part 1)
Graphs are fabulous tools for helping understand your own data, and for telling the story of your data to others. Unfortunately, like any means of communication, graphs can be used to tell stories that are... well... closer to fiction than we'd like.
What if…
Imagine if there was a disease that became endemic. A virus that was unavoidable, that everyone gets, over and over. And imagine if that virus, if it didn't prove fatal, stole just a little every time. A bit of energy here. A bit of immune function there. A bit of cognitive function somewhere else. Imagine what the impact of that might be on society, on workplaces, on people. Then look around you. What do you see? Do you see a new level of struggle? Of systems, and people, cracking under the strain?
Crows can do stats (and so can you)
When we think of statistics, it has a nasty tendency to stir up school based maths trauma, which can make us feel dumb and slow. It conjures the spectre of monstrously complicated equations, low marks on maths tests, and ideas we can't even imagine being able to understand.