Johanna Josodipuro
Johanna is a recent Master of Commerce graduate from the University of Sydney specialising in Business Analytics and Marketing. She first encountered Tableau from a uni course and found her passion in analysing and visualising data after working on Tableau community projects such as #VizforSocialGood and volunteering to analyse data for non-profits.
She loves discovering insights that can be valuable for organisations and translating them into a compelling story that non-technical audiences can enjoy engaging with and easily understand. She values simplicity and is reflected in her answers: if she has to choose only one food for the rest of her life it would be eggs, her favourite chart is bar charts and her favourite tool in Tableau is the parameter – simple, basic, versatile.
![How to Show ‘All’ With Parameter Filters [Short]](https://www.thedataschool.com.au/wp-content/uploads/2022/07/How-to-Show-All-With-Parameter-Filters-400x250.png)
How to Show ‘All’ With Parameter Filters [Short]
One of the use cases of using parameters as filters is that you can remove null values as one of the options. But there are times when you want to show all values in the filter. You can hardcode and type all the field values that will show up when the parameter...
![Dynamic Sorting for Barbell Chart – Part 1 [Tutorial]](https://www.thedataschool.com.au/wp-content/uploads/2022/07/Dynamic-Sorting-Barbell-Chart-Part-1-400x250.png)
Dynamic Sorting for Barbell Chart – Part 1 [Tutorial]
Barbell chart is an effective chart to compare two values, may it be a year-to-year comparison or an average and median price comparison. However, it comes with a limitation. With the default sorting Tableau has, the user cannot know: 1) The category with the...
Dashboard Week Day 5 – Which Industry Should the US Focus at?
The final day of dashboard week! Unlike previous days where we presented the next morning, today we know about the topic of the challenge at 9 am and need to complete it by 3 pm to be presented. In addition to that, we also need to present the dashboard we created the...
Dashboard Week Day 4 – Exploring Disney Movies
It's day 4 of dashboard week already and this time, the challenge is to: Use API to extract data from IMBD Can find additional data to supplement our extracted data (optional) Build a visualisation on Tableau One thing to note when using API is often you have a limit...
Dashboard Week Day 3 – House Prices and Homelessness in the UK
For the third day of dashboard week, we're given a dataset on the UK house price index from this link. It has data on the average price, price index and volume of sales of houses in the UK broken down by London boroughs and regions. We're also provided with spatial...
Dashboard Week Day 2 – Where are UFO Sightings in the US?
For the second day of the dashboard week, we are provided with a link to a website that has data on UFO sightings (you can view it here). There are 2 main tasks: Web scraping the data from the link provided Building a dashboard with Tableau Most of my visualisations...
Dashboard Week Day 1 – Know Your Seafood
This marks the first day of the dashboard week. We're provided 5 different datasets on food, their nutrients, ingredients and retention factors (how much nutrients are retained after processing/cooking) and by the next day morning, we need to come up with a story or...