Well, I decided to enter #MakeoverMonday this week. It’s a weekly dataviz challenge set by Andy Kriebel, open to all. The rules of the game are simple. Each week Andy selects an example dataviz published somewhere on the web – usually something topical used on a news site – and the challenge is to produce your own,[…]
Everybody dies. Why state the morbidly obvious? Language used by politicians and the media, with phrases like “excess deaths” (more people died than we expected) or “weekend deaths” (err… because dying on at the weekend is worse?), often give the strange impression that death is some sort of avoidable outcome.Perhaps we should change the language. Not[…]
When you make changes to a data graphic to give it more ‘wow’, you do so because you are trying to grab your readers attention. That’s fine, to a point. And it can serve the noble aim of trying to get your audience to spend more of their precious attention learning from your graphic whatever it is[…]
Another example of what you squeeze out of the vast array of publicly available NHS data.In this case, specifically sourced from NHS Hospital & Community Health Service (HCHS) workforce statistics.
I’ve had cause to be up to my elbows in NHS data recently, thinking about new and interesting ways to visualise some of it. More to come on that front… I’ve also been playing with the beta version of Tableau 9.3. (Some nice improvements coming in this update for you Tableau 9.2 users, esp. Tableau[…]
Perhaps you’re new to your organisation and are taking advantage of that brief honeymoon period. Or your boss just came back from his latest conference all enthused about “business intelligence”. You’ve done your research and decided Tableau is the tool your organisation needs. You have the budget. You are go for launch…Congratulations. You just finished[…]