How To Put Labels On Variable Values In Stata

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  • Опубликовано: 22 авг 2024
  • Using the label define command in Stata allows you to create labels and descriptions for new variables that you create. Usually, we put these kind of data labels on discrete variables. Specifically, we are more likely to put labels on ordinal variables. This is because a specific value of a variable represents a different condition that we use in our analysis. You can run the Stata table with both the values and the labels so you can see the value that was assigned to each label and vice versa.
    You can use Stata for data science. It’s the easiest and most popular data management software. It helps us run statistical analysis that all statistical software includes. This Stata for Data science playlist here on RUclips give you all the Stata help you need. This free Stata help is Stata for slow learners, students and data scientists who need to manage data sets, clean data and run analysis and reports. You can learn Stata free right here in this training tutorial playlist. It’s basic Stata but all social sciences run analysis this way and the most popular academic statistic package is Stata. The others just follow what Stata does and there’s nothing the others can do that Stata cannot. Follow this “Sesame Street Stata” playlist from start to finish and you will easily master the ideas of Stata and statistical software and statistical analysis in any social science. Anyone who needs to use it for social science analysis in a data analyst job or data analytics program can benefit from this playlist and ask any question you like in the comment section.
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Комментарии • 1

  • @worldwidequickbooks
    @worldwidequickbooks  3 года назад

    Hello to everyone seeking help with learning Stata! I know this playlist will help you. It’s sesame street Stata. It will start you from the beginning and make everything clear.
    Any data analytics program will require that you label the values of ordinal variables and any kind of discrete variable. This way you can identify them numerically when you run an analysis.
    I hope you will “like” after watching each one and I hope you will subscribe.
    -Mark