Ming-Hsuan Lee
Ming graduated from the University of Technology Sydney with a master’s degree in marketing. She earned her bachelor’s degree in international business before coming to Australia in 2014. All math related subjects were her favourite when she was studying. It’s the logical thinking process when solving a problem that fascinates her the most.
Ming has various work experience including retail customer service, marketing, sales, and project management. She heard about The Data School from a friend and found her passion for data analysis with Tableau, therefore she decided to change her career. Her love for data finally drew her to The Data School, where she can apply her diverse skillset to make business decisions. In her spare time, she enjoys bush walking, going to beaches, and watching TV series.
The End of a Chapter, the Beginning of Another – Training Reflection
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...
Advice for Future Data Schoolers
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 training in...
Dashboard Week Retrospective
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 quick person....
Dashboard Week Day 5 – FAO Stat Data
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...
Dashboard Week Day 4 – Legatum Prosperity Index
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...
Dashboard Week Day 3 – London Fire Brigade Incident Records
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...
Dashboard Week Day 2 – YouTube Trending Videos
The second challenge of our dashboard week is to use YouTube trending dataset on Kaggle and create a dashboard in Tableau. This sounds more straightforward then yesterday. I thought I might be able to finish earlier today, but I was wrong. I had my biggest challenges...
Dashboard Week Day 1 – Jikan MyAnimeList API
Finally here comes the dreaded (for me) Dashboard Week! During this week we will be tasked to complete one dashboard per day on a given dataset or source. Today our job is to download anime data form Jikan API. It's an unofficial my anime list API that allows users to...
Partial Drill Down with Set Action in Tableau
Scenario We know that in Tableau we can easily drill down and up dimensions in a hierarchy by clicking the plus sign (+) or minus sign (-) on the fields. For example, in Superstore data, we can drill down Category to Sub-Category level. In this case, if you choose to...
Swapping Metrics in Power BI
This week at The Data School we've learnt a new data wrangling and visualisation tool - Power BI. When trying to build a dynamic viz, I found the tip to swap metrics very useful. The function is similar to using parameters to swap measures in Tableau. In this blog...