Descriptive statistics in stata is used when we need to learn about details of observations of variables in data, their frequencies, mean, median and variability to analyze data. The summary statistics or descriptive statistics of categorical variables can be generated in Stata quickly, making it easy to analyze data. Generally, while working with categorical variables, […]
In Stata, you can make graphs and edit them as per the requirements of data. Apart from creating graphs, you can also combine multiple graphs using the different techniques. To visualize this, import a data set using the following command: Download Example File use “combine graphs.dta”,clear For combining multiple graphs, the imported data can be
The collapse command in Stata is used to aggregate a dataset by collapsing it based on some summary statistics of a variable like mean, sum, median, percentile, standard error etc. To understand how a variable can be aggregated, let’s start by loading Stata’s built-in NLSW (1988) dataset. Download Example File sysuse nlsw88, clear We will
Aggregate Data by Group using Collapse command in Stata Read More »
The bulk of data used in Stata for analysis purpose is mostly found in random observations. This data usually don’t follow the ascending or descending sequence. However, if we arrange data in a certain manner, it becomes easy to handle it, especially when it is in bulk. Note that, here, we are talking about arranging
Data frames allow users to hold multiple datasets in memory at the same time, and work on all of them. While this concept has been present in other data analysis software like R and Python for a while, it was introduced to Stata in Stata 16. With data frames in Stata, you don’t have to
Data Frames in Stata | Store Multiple Datasets in Stata Memory Read More »
