This document discusses how to import different types of data files into R, including CSV, Excel, SAS, STATA, and SPSS files. CSV files can be imported using the read.csv() function. Excel files require the readxl package and are imported using read_excel(). SAS, STATA, and SPSS files can be imported using the haven package functions read_sas(), read_dta(), and read_sav() respectively. Examples are provided for importing each file type.

1. IMPORT DATASET IN R
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2. IMPORT DATA IN R
• Read csv
• Excel
• Spss
• Stata
• Sas file
•

3. READ CSV
• The most widely Data store Is the .csv(comma separate
value) File Format.r loads an arrays Of libraries during startup ,
inCludingutils package. Package is convenient to open csv
Files combined with the reading .csv()function
• Syntax:
• Read.csv(file, header=TRUR, sep=“, “)

4. ARGUMENT:
• File:path file is stored
• Header:confirm file header or the header is set toTrue
• Sep:symboll used spit variable.default,‘, ‘.
• Read the data mtcats csv file store online path needs string value

5. READ EXCEL FILES
• Excel files are very popularamong dataanalysts.spreadsheeteasy to work flexible. R is equippeflibrary
readxl import excel spreadsheet.
• Code:
• Require (readxl)
• Output:
• Loading required package :readxl.
• Package does not exit, installconda library or terminal , conda install –c mittner r-readxl
• Load library to import excel files
• Library(readxl)

6. READ EXAMPLE ()
• Readxl_example()
• Readxl_example(“geometry.xls”)

7. IMPORT DATA FROM OTHER STATISTICAL SOFTWARE
• Import different files format with heaven packages.this package.packagesupport SAS, STATA and SPSS
software
• sAS:read_sas()
• STATA:read_dta() or read_stata() identical
• SPSS:read_sav()or read_por().check extension.
• Ready to open all files from SAS, STATA and SPSS.

8. READ SAS EXAMPLE
• Df<-read_sas(PATH_sas)
• Head(df)
• Output
• <dbl> <dbl> <dbl> <dbl>
• 1 0 380 3.61 3
• 2 1 660 3.67 3
• 3 1 800 4.00 1
• 4 1 640 3.19 4
• 5 0 520 2.93 4
• 6 1 760 3.00 2

9. READ STATA
• Df<-read_dta(PATH_stata)
• Head(df)
• Output:
• # <dbl> <dbl> <dbl> <dbl>
• 1 0 380 3.61 3
• 2 1 800 4.00 3

10. READ SPSS
• Df<-read_saV(PATH_spss)
• Head(df)
• Output:
• # <dbl> <dbl> <dbl> <dbl>
• 1 0 380 3.61 3
• 2 1 660 3.67 3

11. BEST PRACTICE DATA IMPORT