Descriptive statistics using stata

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Descriptive Statistics (describe) Descriptive statistics is vital to understanding the nature of your data.
It provides a basic description of your data and allows you to explore the formats ("display format") of the variables.
We will use the describe command to get descriptive statistics._{Sep 23, 2023}
How to do descriptive statistics in Stata?
To obtain the most basic descriptives (N, mean, std. deviation, min and max) the command is simply summarize [varname(s)] if you do not specify a variable, Stata will print them all.
The format for summarize is a list: One particularly useful options for summarize is the , detail option..
What kind of data does Stata use?
The default data storage type for Stata is “float.” Also note that byte, int, and long storage types can only hold integers, whereas float and double are floating point data storage types.
Another difference between the various numerical data storage types is in their levels of precision..

Mar 30, 2023Getting the descriptive statistics in Stata is quick for one or multiple variables. Descriptive statistics are measures we can use to learn

How to analyze a variable in Stata?

The primary command for this in Stata is summarize or sum for short

Here’s how you can use it: Replace “variable_name” with the name of the variable you want to analyze

This command will give you the number of observations, mean, standard deviation, minimum, and maximum values for the specified variable

What's new in Stata 17?

In Stata 17, we introduced the new collect suite of commands for creating and customizing tables and the etable command for easily creating and exporting a table of estimation results

Stata 18 offers another new command, dtable, that easily builds and exports a table of descriptive statistics, often called Table 1 in publications

Categories

Descriptive statistics using stata

How to do descriptive statistics in Stata?

What kind of data does Stata use?

How to analyze a variable in Stata?

What's new in Stata 17?