One question I cannot answer with my data involves year to year differences among the world's top CEOs. Since the Harvard Business Review changes their algorithm every single year, it would be somewhat inaccurate to compare the CEO data from previous rankings. However, since the HBR has conducted these rankings every year with some similarities in the rankings, it still would be useful to compare the countries and industries between 2014 and 2015. Unfortunately HBR's 2015 "The Best-Performing CEOs in the World" is the first article of its kind to include an accessible data set. I'm sure the HBR has the applicable data set, and a simple email outlining my intentions with it, would surely grant me the data. The type of dataset I would want, is one that compares contains enough information to be able to compare and contrast CEO rankings between years.
Sunday, 22 November 2015
Monday, 9 November 2015
Assignment #2: Data Update 2
CEO's love Diabetes, Beer, Coffee, and Sneakers.
The list of the top 20 CEOs I have included as an
excel spreadsheet highlights the CEO’s names, countries, and industries,
providing insight into the who, what, and where of the world’s top CEOs.
This slice of data can be effectively used in
three different data wrapper visualizations. I will analyze the data based on
country and industry, and compare it to data from previous years to see what
countries and industries are becoming more dominant on the list over time.
The Harvard Business review puts out CEO rankings every year. By looking into the 2014 set versus the 2015 one, the reader can notice how data becomes a more vital component to the ranking system.
Between 2014 and 2015, the wealth and organization of the data has created a much more thorough ranking system.
I am excited to input this data into data wrapper to create a fluid visualization for my final report.
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