http://www.baileydebarmore.com/epicode/importing-your-data-into-sas-stata-and-r WebStata can read the .dta faster because that's a binary format. It's almost always more efficient to read a binary file than a text file. An appropriate comparison would be against how quickly Stata reads the csv. Have you tried to read the .dta file in R with foreign::read.dta? – Joshua Ulrich Oct 30, 2014 at 16:03

Importing large csv file into Stata - Statalist

WebLarge datasets sometimes come as a series of smaller datasets each containing information from a subset of cases. For example, one dataset for each U.S. State, or one dataset per year for data over a series of years. The Stata command append can be used to combine datasets quite easily, but if one has a large number of datasets, it can be time ... WebFeb 10, 2024 · 1. Work with CSV files Datasets come in different shapes. Some are JSONs, some are XML, and many more. While statistic software allows you to import files of various different formats, I always recommend transferring them into CSV (comma separated values) files first. phmsa advisory committee

Loading multiple csv files in Stata Andreas Ebbehoj

WebStata can import most data formats. If your project’s data was collected using a platform like SurveyCTO, the raw data will come in .csv format and the SurveyCTO server will provide a do file that imports the raw .csv data into the Stata .dta format. Importing different file … WebNov 16, 2024 · To control how the field is read from the text file, use the “read format”. For example, specifying that a variable should be stored as type str25 means that Stata should read 25 columns of information when it processes the text file. Example 1 To read the data from the test1.raw file below, 1101 0111 1100 WebIf so, we can use the nolabel option and Stata will output the numeric values, not the labels, as shown below. outsheet id gender race read write science using smauto2.csv , comma … phmsa advisory bulletins