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Here are some data visualizations that I want to highlight in particular!
For the second week of class in TSWD, we created a heatmap in Tableau depicting the ratio of OECD Government Debt-to-GDP from the years 1995-2019. Below is my heatmap!
For my redesign, I wanted to investigate the average debt-to-GDP ratio for a specific subset of countries to try to make some easier comparisons on a smaller level. So, I chose to select G7 countries (Italy, Japan, United Kingdom, France, Germany, Canada, and United States) to make some direct comparisons. Next, I chose to use the packed bubble format simply because I have not really explored that visualization in tableau yet! I noticed that the ratios were not extremely different when it came to Canada, US, Germany, the UK, and France, so I decided to use specific colors on the three highest averages and keep the US, Germany, UK, and France greyed out to minimize eye travel and confusion. I highlighted Japan, Italy, and Canada in the order of Red, Orange, and Yellow to represent highest to lowest ratio, tying the color to severity. I think this was more effective than the heat map for a specific audience; I’d try to include this type of visualization in an public article if I had to show a simple visualization for this subset of countries, since there’s less eye travel involved. But, it does only depict a small group of countries, and their debt-to-GDP ratio is not entirely wide of a range among the mid-level average group of the countries.
<script type='text/javascript'> var divElement = document.getElementById('viz1764971300051'); var vizElement = divElement.getElementsByTagName('object')[0]; vizElement.style.width='100%'; vizElement.style.height=(divElement.offsetWidth*0.75)+'px'; var scriptElement = document.createElement('script'); scriptElement.src = 'https://public.tableau.com/javascripts/api/viz_v1.js'; vizElement.parentNode.insertBefore(scriptElement, vizElement); </script>
Here’s a data visualization from my final project that went through multiple interations!