Tableau Visualization

This week we were asked to visualize our final data set. Sticking with my data set of popular dog breeds from the AKC I loaded the data into Tableau to better understand/visualize the numbers. Visualizations are key to understanding data and is helpful in showing relationships between data points without having to calculate percentages. Visualizations provide immediate understanding based on vision and interpretation of the image.

Fig. 1 Bar graph illustrating the top 25 breeds in 2013, 2014, 2015 and 2016

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Fig. 2 Bar graph illustrating the top 25 breeds in 2013 and 2016

The first visualization (fig. 1) is a simple bar graph illustrating the rise and fall in popularity of the top 25 dog breeds in 2013 through 2016. Because there are so many breeds listed in my data set the graphs became a little overwhelming to decipher; so I paired the information down to just the top 25 dogs in these years. I went a step further to pair the information down and bar graphed the top 25 breeds in only 2013 and 2016 (fig. 2).

Fig. 3 Pie chart illustrating most popular breeds in 2013 and 2016; the right visualization shows the roll-over function within Tableau, illustrating individual stater for each pie piece

My third visualization is a pie chart (fig. 3). I like this option because while in Tableau you are able to scroll over the pie pieces and the stats appear, showing you the difference in popularity between the two years.