You may also have noticed that the legend is a bit strange for the Neutral response, since it is split into Neutral_1stHalf and Neutral_2ndHalf, which I need to gracefully show the data symmetrically in the visualization in VA. This can be done by right click on the category and select ‘Edit Custom Sort…’ to get the desired order. Comparing with Matteson’s visualization, my version has the tick values on X axis displayed as non-negative numbers, as people generally would expect positive value for the frequency.Īnother thing is, I used the custom sort for the category to define the order of the items in the bar chart. The customization of bar charts can be done by using the ‘Custom Graph Builder’ in SAS VA, which includes: set the reverse order for X axis, set the axes direction to horizontal, and don’t show axis label for X axis and Y axis, uncheck the ‘show tick marks’, etc. This visualization is created by using two customized bar charts in VA, and putting them together using precision layout so it looks like one chart. So, here’s my attempt at recreating Matteson’s 18 visualization using SAS Visual Analytics. I read his blog on creating 18 amazing graphs using purely SAS code, and I copied most data from his blog when doing these visualization, which saved me a lot time preparing data. Robert Allison is a SAS graph expert, and I learned a lot from his posts. I want to specially thank Robert Allison for his valuable advices during the process of writing this post. So what I am trying to do in this post, is to load the corresponding data to SAS VA environment, and use VA Explorer and Designer to mimic Matteson’s visualizations. Users can easily create professional charts and visualizations without SAS coding. SAS Visual Analytics (VA) is better known for its interactive visual analysis, and it’s also able to create nice visualizations. My buddy, Emily Gao, suggested that I should see how SAS VA does recreating these visualizations. In the post, the blogger Tim Matteson asked the readers to guess which software was used to create his 18 graphs. As a practitioner of visual analytics, I read the featured blog of ‘ Visualizations: Comparing Tableau, SPSS, R, Excel, Matlab, JS, Python, SAS’ last year with great interest.
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