Learn naming conventions used for naming data sets as well as code, and an optimal approach for coding structure.
- First I'm going to describe…data set naming conventions because each…time you make a new data set,…you don't want to lose track of what you were doing.…I will also describe how you should split up code files…and I'll give you some naming conventions for your code.…As I said, first we'll talk about…data set naming conventions, I start each…data set with a short character prefix like BRFSS.…You don't want a long one or you'll go crazy typing it.…And you don't want one with numbers…because that gets confusing, I make the…first data set I read in have underscore a after it.…
And each time I remake the data set,…I increment the letter so a to b, b to c and c to d.…Why do I do that, well, well let's say you…make a variable in c and later you use…that variable to try make a new variable in d.…And you realize that the c variable is messed up.…I can roll back and try to figure this out.…If the native variable that the variable c is based on…is messed up in a then it means I read it in wrong.…
If it's only messed up in c and in d then…
This detailed, practical course is designed to help those in the field of public health, medicine, and data science to edit, analyze, and interpret data. Learn how to code new variables, use the forward-stepwise modeling process, and document your decisions. Find out how to visualize results by generating charts and graphics, and how to add tables and figures to your documentation. This course helps equip you to independently design, develop, and execute a full BRFSS analysis, and even publish your results in scientific publications or journals.
- Reviewing survey data and documentation
- Conducting a BRFSS analysis
- Understanding naming conventions
- Editing variables
- Reviewing distributions
- Generating an analytic dataset
- Developing descriptive statistics to answer prespecified hypotheses
- Preparing publication-worthy tables and plots
Skill Level Advanced
1. What Is the BRFSS?
2. Designing Your Metadata
3. Reading in Data and Applying Exclusions
4. Preparing for Descriptive Analysis
5. Conducting Descriptive Analysis
Making a frequency macro4m 8s
6. Descriptive Analysis: Weights and Tests
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