Jude Shu
I am a graduate with a Science degree, a Post Graduate with a Certificate in Applied Statistics, and over 14 years of experience in the telecommunications Industry. I was drawn to the data school because I love working with data to enable more intelligent decisions and drive predictive capabilities. As a curious individual with an eye for detail, I solve problems by turning the most complex data sets into timely and actionable insights through clear, interactive, and user-friendly dashboards, creative thinking, and industry expertise.
Create BANS you can interact with.
The process to create this is quite elaborate, rather than bore you with the obvious. I'm going to document the ambiguous parts of this build, the rest you should be able to decipher when you look at the sheets in the workbook. So, download the workbook from my public...
Level up your stacked bar charts with Sets!
If you are using a stacked bar chart on your dashboard and your stakeholders are looking to compare a few variables over time, as a minimum requirement you must have dynamic sort built into the visual. What I am going to show you today is the next level of interaction...
Next Level Drill-down across non hierarchical dimensions
It's common to come across Hierarchies when working with categorical data. During my recent placement, I was asked to create a drill-down across non-hierarchical dimensions, the request was to visualise three different dimensions that had a many-to-many relationship...
How to compare Half-Yearly Sales?
I had this request from a client to be able to see (let's say sales) Sales by half-yearly. what made this one trickier, was that the company’s FY starts in July, so the first half of the Fiscal Year 2023 is from July 2022 – December 2022. Which translates to quarters...
Replacing the Tableau data source without losing the colour format of your charts
Recently I ran into this issue after I replaced the data source, the colours for some of my charts would change to the Tableau default. It is frustrating having to change each chart back to its colour scheme every time I change data sources and I did not want to touch...
Thoughts and Reflections from DSAU 15
As the four months of training at The Data School Down Under draws to an end, each member from cohort DSAU15 offers their thoughts, reflections and advice on their training. In no particular order: Mark's simple, yet meaningful tip When first seeing a new dataset,...
Dashboard Week – Day 5 – AFL data
Woohoo! For the final day of dashboard week, we were given clean AFL data to find and story and write a blog. Time was of the essence, so I had to pick a topic and stick with it. I have never been one for AFL, the only appreciation I had for the sport was the pack...
Dashboard Week Day 4, Australian Bureau of Statistics data…. again.
Dashboard Week Day 4, dreaded ABS data again. The task was to two choose two questions from last year’s Census data and create a dashboard. As always working with Census data is always fun, there’s a lot to get your head around before you get started on the mammoth...
Dashboard Week Day 3 – Star Wars
On day 3 of dashboard week, at the 60 planets and the species of aliens who were native to those planets I decided to look. More time I was going to look at characters who visited the most planets if I had, but it's dashboard week, never enough time there is. The...
Consumer Pricing Index and Wages Growth – Australian Bureau of Statistics
Day two of dashboard week, prove very challenging, ABS data is not the best data to work with. Although some cleaning was already done when we got given the datasets (3), the Consumer pricing data had a Hierarchy of commodities nested within the data. Group >...