# horizontal bar chart proc sgplot data=tips title 'Mean Total bill by Day' /*hbar day */ /*if no other option is specified then it just shows row frequency by cat variable*/ hbar day / response=total_bill stat=mean /*hbar day / response=tip stat=mean y2axis */ run # vertical bar chart proc sgplot data=tips title 'Mean Total bill by Day' vbar day / response=total_bill stat=mean run # XAXISTABLE and YAXISTABLES statements create axis tables which display data values at specific locations along an axis. Lets take a quick look at how the tips dataset is structured: Once we have imported the dataset, we can view it using the proc print statement. proc import datafile='/home/u50248307/data/tips.csv' out=tips dbms=csv replace getnames=yes run In this article we will work with the tips dataset that we also used for our Python demonstration.īefore we start plotting, we need to import the dataset. Also available is proc univariate which allows you to create histograms and normal probability plots, also known as the QQ plots. SAS has an in-built procedure called sgplot that allows you to create several kinds of plots. For a full version of the code visit my GitHub repository.
PROC SGPLOT RENAME X AXIS HOW TO
I will show how to create these charts using SAS and will include code snippets as well. In this article we will cover how we can visualize data using various charts and how to read them. This is the third of a series of articles that I will write to give a gentle introduction to statistics.
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