by Ming-Hsuan Lee | Mar 25, 2022 | Ming-Hsuan Lee
Today is the last day of our four months training at the Data School, and next week we are all going to our first placement. For me it feels both sad and excited. Sad because we will no longer sitting in the same room learning and working together. Excited because we...
by Ming-Hsuan Lee | Mar 19, 2022 | Ming-Hsuan Lee
Time flies! There’s only one week left before we finish our four months training at The Data School and head to our first placement. It feels like I was just talking about how I felt unready for client projects, and now we’ve done all of them. The...
by Ming-Hsuan Lee | Mar 5, 2022 | Ming-Hsuan Lee
The dashboard week is over, and I’m glad I still alive and can write some retrospective here. I have to admit that dashboard week is the part that worried me the most in the whole training. The main reason is strict time constraint. I’m never a...
by Ming-Hsuan Lee | Mar 4, 2022 | Ming-Hsuan Lee
The last challenge this week is FAO stat data. There are three files provided: Producer Price Index (PPI) by year and month in two files, and Consumer Price Index (CPI) in another file. We have the choice to add additional data, but I ended up only using the given...
by Ming-Hsuan Lee | Mar 4, 2022 | Ming-Hsuan Lee
The fourth challenge of our dashboard week is Legatum Prosperity Index. It’s a tool to measure how prosperity is changing across the world over time. The data contains country overall prosperity score. There are also scores measuring how a country perform in 12...
by Ming-Hsuan Lee | Mar 3, 2022 | Ming-Hsuan Lee
Our third challenge this week is using London Fire Brigade Incident Records data and additional data related to London to create a Tableau viz. The data set given contains all callouts for fire brigade in London from January 2019 to January 2022. The data is quite...
