From the course: Introduction to Stata
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Exploring data: Solution - Stata Tutorial
From the course: Introduction to Stata
Exploring data: Solution
(upbeat music) - Let's have a look at the solutions on data exploration challenge. Our first challenge was to load and explore the nlsw88 data, and identify what age range it encompasses and what variables might be continuous or categorical. So let's go ahead and load the data. This is a training data file, so we can use the command sysuse to load it. So let's type sysuse nlsw88 and we'll clear. We've now loaded the data. Nlsw88 actually stands for National Longitudinal Survey Women's Sample of 1988. The first command that we'll generally want to call when we first load up a new data set is the describe command. Let's go ahead and do that. Doing a quick describe of the data shows us that we have 17 variables in this data set, and most of these seem to relate to some sort of individual characteristic or a labor market outcome. Variables such as age, race, city, industry, occupation. The variable names and variable…
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