About converting .dta to Excel
An Excel workbook is the right choice when you want to read, filter, and share the data without writing any code. The export includes a second worksheet listing every variable, its label, and its value labels, so the meaning of each column travels with the file.
Stata stores more than raw numbers. A .dta file carries variable labels (the human-readable description of each column), value labels (the text behind codes like 1 = "Strongly agree"), declared missing values, and date formats. statfile.tools reads all of these. When you export, you decide whether coded categories should appear as their numeric codes or their labels, and whether dates should be written as readable ISO timestamps.
Because the parser is built from the ground up to run in the browser, there is no file-size cap imposed by an upload step and no queue. Open-source tools like ReadStat and pandas can do the same conversion offline, but they require installing software and writing code. This page gives you the same result with a single drag-and-drop, which is why it suits anyone who has been handed a .dta file but does not own Stata.