Comparing the effectiveness of Tableau and R ggplot to deliver the key messages in Coral Bleaching Analysis. This article will look into this, and hopefully arrive at a common consensus for all.
Tableau and R are two common data visualisation tools where the former is known for it’s simple and beginner-friendly functions, and the latter for it’s extensive user interaction possibilities. How do we decide which visualisation tool is easier to implement or more effective in conveying the key insights to the relevant stakeholders? This article will look into this, and hopefully arrive at a common consensus for all.
The dataset we will be using contains Coral Bleaching percentages located in Great Barrier Reef from 2010 to 2017. There’s a total of 5 different coral types, mainly Blue Corals, Hard Corals, Sea Fans, Sea Pens and_ Soft Corals_. 8 different sites/locations along with their latitudes and longitudes situated in Great Barrier Reef has been provided.
Image by author — R output of first 6 records in dataset
In every data visualisation we build, there must be a key message we wish to deliver to the relevant stakeholders so that appropriate actions can be taken as supported by these data insights. In this dataset, we wish to address the following questions:
1. In which year and which type of coral bleaching was the worst from 2010 to 2017?
2. How does the location of the site affects bleaching on the different coral types?
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