The Iron Viz competition is a prestigious and highly competitive data visualization contest hosted by Tableau. In this annual event, data professionals and enthusiasts from around the world compete to create compelling and insightful data visualizations using Tableau's tools. Contestants are challenged to transform complex data sets into engaging and informative visual stories. A panel of judges evaluates the entries based on criteria such as creativity, design, and the effective communication of insights. The winners of the Iron Viz competition receive recognition and prizes, making it a celebrated showcase of data visualization talent within the Tableau community.
There are three finalists selected from a global qualified competition.
The Criteria for selection and mark include:
Design – How appropriate is the design for the story being told?
Storytelling – Is there a clear story being told or a question being explored, and is there appropriate context?
Analysis – How sophisticated and appropriate is the data that is being used for the story?
My thoughts: As I can see most of the contestants don't have enought time and mostly focused on design only. The aproach would be to focus on Storytelling and Analysis by keeping a good desing format in mind. For this I need to build a bigger dashboard and need some data which will allow me to check it from different angles.
The Subject: Love and Happiness.
Data Source: Happiness Rerport 2023.
General approach is to have all breakdown by different sections which will look like a timeline and the user have the possibility to change the metric for the analysis if they like the way is visualized.
There are the sections:
There are in fact navigation buttons which help the user to move and select specific topic for the analysis.
Blue/Orange colors were taken from the IronViz official webpage.
For each sections there is a big header with some white space which make it easy ty ready and have the possiblity to see the entire picture and use the filters.
Example: in the first section the analysis is done by Happiness Score and the user have the possibility to filter a specific continent, year and even to change a different metric if they want to analyse data this way.
Great help in designing and delivering the complex chart was done with the help of LADATAVIZ.
Instruction are very clear and easy to adapt to your data.
In the final sections there are some of the conculsions collected during the analyis and overall Happiness Scores.
End.
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