Data Management – Missing Values
Continuing my course in Data Management and Visualization with Coursera… For those that haven’t followed on my previous posts, I am currently enrolled in a Data Analysis Specialization with Wesleyan University through Coursera. With data from Gapminder, I am exploring a broad and basic question: does urbanization drive economic growth? For those of you interested in reading my literature review to gain a background in this project, please visit this page. Though I am working in SAS and Python in an attempt to learn both, I will only be presenting my work in SAS here (though I will also include my Python code for reference). The output format in SAS is easier on the eyes in my opinion. For this third assignment, I was originally going to try to calculate the urban population growth rate for 2010. Instead, I found the data available on Gapminder so I did not have to create a secondary variable for population growth. After inserting the latest variable, I decided to code out missing data. Since my focus is on GDP, …