Romy (Fayong) Li

Romy did his Bachelor’s Degree in Petroleum Engineering at UNSW. After completing his studies he worked in both the energy and education industries for a few years. While working as an Education Consultant, he discovered his passion for data analytics and enhanced his skill sets in big data and data visualization through online courses. Romy’s hobbies are badminton, reading and trying out different restaurants throughout Sydney.

Reflecting My Data School Experience

Reflecting My Data School Experience

Time flies! Without even noticing it, we are already nearing the end of our four-month training program and ready to embark on the next phase of the journey, which is to apply our skills and work on placements with clients. Hence, this would be a perfect time to...

Dashboard Week Day 5 – Air Pollution Data

Dashboard Week Day 5 – Air Pollution Data

The Briefing   It’s finally the last day of dashboard week. This week has certainly been the most intensive one ever since the training started three months ago and has definitely put our skills to a huge test. Since we had to make the dashboard and present at 3...

Dashboard Week Day 4 – Cocktails

Dashboard Week Day 4 – Cocktails

The Briefing   As the coaches promised before, we would be given an easier task to work on, considering we were quite stressed out in the past three days and we were going to have a trivial night in the evening, which means we would have less time to build our...

Dashboard Week Day 3 – Land Zoning in NSW

Dashboard Week Day 3 – Land Zoning in NSW

It’s day 3 into the dashboard week, and as expected we are given a new kind of challenge to tackle. That is, spatial. Yes, spatial! spatial analysis has become a huge thing nowadays as many companies begin to analyse location-based data about their customers. Thus, we...

Dashboard Week Day 1 – Analysing Stock Performance on ASX

Dashboard Week Day 1 – Analysing Stock Performance on ASX

After 13 weeks of analytics training and a variety of client projects, we are now officially entering week 14, which is going to be both challenging and rewarding. Yep, it is the one and only Dashboard Week. What it means is we are expected to work on the data we are...

Three Use Cases of LOD Expressions

Three Use Cases of LOD Expressions

In my previous blog, I went through some of the fundamental concepts associated with LOD Expressions. To be able to use LODs accurately and efficiently, it is key to understand both the granularity of the data set and what elements affect the level of detail on the...

Fundamental Concepts behind LOD Expressions in Tableau

Fundamental Concepts behind LOD Expressions in Tableau

Why do we need LOD Expressions   When working in Tableau, sometimes we need to answer questions that involve aggregating our data to different levels of detail (LOD). For example, maybe you are interested in finding out which state has the highest average sales...

Enhancing Interactivity of Your Viz with Set Action

Enhancing Interactivity of Your Viz with Set Action

In my last blog, I talked about how to create sets in Tableau and use those sets to help you perform more in-depth analysis. In short, sets are a powerful way to divide members of a certain field into two groups, that is, IN and OUT, which can then be used as a filter...

A Beginner’s Guide to Using Sets in Tableau

A Beginner’s Guide to Using Sets in Tableau

Intro to Sets Most people will have had some exposure to set theory in high school. In mathematics, a set is just a well-defined collection of distinct objects, whose order or arrangement in the set does not matter. This theory is applied and performed in Tableau...