Thang Nguyen
Thang graduated from Monash University. His major is in Data Science, but he also has a strong foundation in App Development. His interests include data analytics, machine learning, data structures and deep learning. Tableau and Alteryx are his main tools alongside Python, SQL and R.
Being a part of The Data School Down Under have enabled him to explore more in-depth about the World of Data which has been his main objective from the starting point. One of Thang’s favourite things in the whole universe is beautiful, simple yet elegant visualisations. And that is the fundamental design principle for all his dashboards. Also, Thang is a mechanical keyboards enthusiast and a good cook. “Good food makes the world a better place”, he said.
How my dashboard have improved after 4 months with The Data School Down Under?
Introduction I have used Tableau way before joining the Data School Down Under. Since 2018, I have taken interest in creating visually appealing charts. I can go through the r/dataisbeautiful subreddit for hours and hours. I always had a question pop-up in my mind...
Markdown for WordPress, this literally changed my life.
Introduction I love to write in Markdown for a couple of reasons. First of all, when you write using a markup language it will save you time by getting rid of the process of manually going through the toolbar to visually format the look of your article. Secondly,...
Dashboard Week – Day 5
Day 5 topic, 'Basix Certificate in NSW': This challenge is very hard, not because the data need a lot of wrangling, but because we only have a limited time to build this, unlike other challenges we have a whole day to work on. Data wrangling The data is very clean to...
Dashboard Week – Day 4
Day 4 topic, 'University Ranking - Web Scrapping': This challenge is very, well, challenging. Because it has involved using web-scrapping and using regex to parse the context into readable format. One of the hard parts is to isolate the context from the downloaded...
Dashboard Week – Day 3
Day 3 topic, 'CoinPaprika API': So today challenge is quite different from others. It is mainly because we have to retrieve all the data from a public API. Alteryx makes it a breeze to download parse in JSON format. So the challenging part is how to get the URL right,...
Dashboard Week – Day 2
Day 2 topic, 'World Bank FMIS Projects Database': So this dataset is used to keep track of all the projects funded by the World Bank. This dataset is in an excel file. The layout is nicely formatted for human consumption with a few tables within a sheet, which makes...
Dashboard Week – Day 1
Day 1 topic, 'Melbourne City Dataset': I have again picked the topic of Docklands. But, in this viz I mainly focus on using parameters and actions to select the area. Below is a short overview for this viz: Data wrangling Nothing special about this dataset. I think...
Bump Chart Make Easy
First Step: Make the chart like this Second Step: Right-click on 'Sub-Category' select 'Create' -> 'Parameter', the Parameter list will be automatically populated with the 'Sub-category' name, then right-click on it to choose 'Show Parameter' Third Step:...
Sankey Diagram Made Easy
Introduction For me, Sankey diagram is one of the most time-consuming viz to build. There are a lot of steps and many complex table calculations involved. So, for beginner or even intermediate Tableau users, the Sankey chart seems to be a very difficult challenge. For...
A brief investigation on how Tableau handle Australian Spatial Data.
Introduction Australian spatial data, in my opinion, is very confusing. According to The Australian Statistical Geography Standard (ASGS), our spatial structure is split into 2 groups: the ABS Structures and the non-ABS Structures. ABS Structures Non-ABS Structures As...