Introduction
Create data visualization based on a dataset about billionaires in the world. A complete data story in the
format of a Tableau story and dashboard is expected. Follow the steps learned in class to carefully
choose your visualization media, type of graphs, texts or tables to explore and reveal hidden
relationships or insights.
Data Description
The dataset has 2 Excel files. One contains data from 1996 to 2015. Another one contains data for
individual years of 1996, 2001 and 2014. The second file has updated information and more variables.
These are real data based on Forbes, World Bank and some other reliable sources. Some variables are
derived from other ones. There could be missing data or inaccurate data but most of the data are in
good shape. You should clean up the data first. You can derive new variables from the data or include
external data sources. You could choose to use only one file or both. In other words, use the provided
data as you see fit to complete the work. Use Tableau to describe the data visually. In other words, tell a
story with the data.
You might need to transform the data by cleaning it up, creating new variables (such as calculated variables in Tableau). For example, should you convert gdpcurrentus to be in billions? Would it be helpful if you create a variable to identify young billionaires vs. old ones? Etc. Feel free to prepare date in Excel if it is easier or makes more sense to you. Doublecheck Tableau’s categorization of the data types (dimension and measures, for example) and make appropriate changes if necessary. See if there are hierarchical relationships among the variables and create hierarchies to facilitate drilldown if possible.
It is interesting to bringing in relevant external data to enhance your story but make sure it
mashes well with your data and make sense.
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