Guillermo Correa
Guillermo is studied at Macquarie university before joining the Data School . He was doing a Bachelor of Information and Technology when doing a class in Data Analytics and found the tools used very inspiring. From this sparked a likeness to working in Tableau and PowerBI the two tools that were used in the class.
During university, he enjoyed working a lot on the design aspect of coding (CSS etc) and just working with data in general but didn’t know what he enjoyed until finding Tableau which provides both together, design in vis and data through tables. This excitement of working with Visualizations in tableau lead him to applying and joining The Data School.
Dashboard Week Day 5 – Food and Agriculture Organization UN
Day 5 of dashboard week, and probably the toughest so far. We had been tasked with making something using the Food and Agriculture Organization of the United Nations. While the dataset was not that hard to work with in general. The issues arose from the lack of time....
Dashboard Week Day 4 – The Legatum Prosperity Index
For day 4 of dashboard week, we were given the The Legatum Prosperity Index data. This dataset includes every country and their ranking prosperity based on categories. This dataset was a challenge, while it seems pretty easy at a glance. It was very hard to identify a...
Dashboard Week Day 3 – London Fire Incident Responses
For day 2 of the Dashboard week, we have been given the London fire incident dataset. Just like before we had to make any analysis on the data that we wanted. For this I thought to create a Viz based on response times but the data was limited. I managed to join extra...
Dashboard Week Day 2 – YouTube Trending
For Dashboard week day 2, we were given YouTube Trending Data from Kaggle. This dataset had several datasets for different countries and what videos were trending on a specific day. Using this dataset, we would have to make a dashboard on anything and we were able to...
Dashboard Week Day 1 – JikanAPI for MAL
For DSAU12, our first dashboard week challenge was to use JikanAPI to get data from MAL. JikanAPI is an unoffical API set up to scrape data from MyAnimeList. We were tasked with first using the API to get any data we would want to use and then creating something out...
When to use a Sankey Diagram
When and Why you use a Sankey A Sankey diagram is a great visualization to show the flow from one category to another. Sankeys are a great visualisation diagram to show off but are not always the go to chart when trying to practically show off a data visualisation....
Growth Rate comparisons in Tableau
Growth rate is usually a go-to metric when it comes to most datasets that would have any sales value. You can use them to compare two dates in time in order to evaluate the performance of what your looking at. These metrics can sometimes be seen as a 'headline metric'...
Free ways to edit and get images to use for Visualizations
If your ever browsing tableau public, you'll see visualizations with custom graphics or images that really tie the Viz together in making a nice themed visualization. How is this possible? Well usually the answer is photoshop and that will most likely be the answer...
Switching Viz on a filter
When you have a lot of categories, sometimes you might want to have more then one view to display to the viewer. Though there is not always room on a Viz to display a drilled down version of Measures by a specific Category and show the overview of all the categories....
Using Iterative macros to pull data from APIs
Macros are a good way to automate processes in any workflow, macros are a large feature within Alteryx. With a lot of tools being macros themselves behind the scenes. Iterative macros are at its core, just a loop that continues a certain workflow until a condition is...