2024: Week 31 - Olympics Special
![Image](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhp5gmYHbSyApfADZRXD7Y4rOinIvBcPiCaEBSR95NFZUbn8ME1pcceHM2dZ3nGLgX1cQdr2Y1oovK4GknXeS14nU2bWZW62uxlyKs4gkVF2shnti6oSucuxbBueSrorqKfKDNpVRHNSq81f3W4YfPUBSJ0GTGE1XcgNdT1iRErpif54fWRHFgXZOwpEozt/w640-h480/Screenshot%202024-07-25%20151016.png)
Challenge by: Zak Saucede For the final challenge in Preppin' Data's sports themed month we're turning our attention towards the Olympics. More specifically, we're looking at the Women's Heptathlon, using data from the World Athletics Championship in August 2023. Zak, a Data School Consultant from DS39, recently created the viz below, after realising that despite ranking in the Top 3 for 5 out of the 7 events, it wasn't enough for Anna Hall to win gold. Therefore, he wanted to do further analysis to see if it's better to be a specialist in a few events, or a generalist across all the events. Click here to interact with the viz Inputs 1. Results Table - at a first glance, our data looks very clean, and analysis ready - but 3 data points in a single row is going to require some attention, as well as the position being in brackets for each event 2. Event Lookup Table - Let's add in some additional detail about the events, such as making them more human