Today I got to learn a lot more about the coding that goes behind SAS data. I created my free SAS on demand for academics account which is similar to Java or Python, but it is intended for analyzing data sets and forming graphs, so it is also like Excel. A SAS programmer presented to us for the first half of the day teaching basic lines of code that will create bar charts and such that represent fake data that is realistic to sales. We analyzed fake data from 3000 customers, three different groups of 1000 people were presented with the same product at different three different prices and we were to analyze lots of data to figure out what would maximize our profit. There were many factors that we had to take into account.
After lunch, we learned how to use SAS Visual Analytics which had many options to turn numbers into graphics. This was very helpful for me because I was able to understand all the data better when it was combined all into one visual graph and the data was easy to compare and contrast. We eventually got to make our own visuals about data from the prices of different foods in developing countries and it was really interesting to see how other SAS interns interpreted and presented their data. In the picture below I am asking Matthew Schaeffer a question about his data presentation.
