Why Wont My Csv Data Upload Into Sas

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How to Import CSV Files into SAS

One of the most mutual information types to import into SAS are comma separated values (CSV) files. As the name implies, the values (columns) are separated by commas, and unremarkably have the file extension ".csv".

 This commodity will provide a walkthrough of iii different methods for importing CSV files into SAS, including:

1. PROC IMPORT
2. Data Step
3. SAS Studio Signal-and-click

Software

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Data Sets

The examples used in this commodity are based on the CARS.CSV file, which was derived from the CARS dataset found the in the SASHELP library.

cars.csv - download

Before running any of the examples below, you lot volition demand to replace the path '/abode/your_username/SASCrunch' with a directory that you accept read/write access to in your environment.

This tin can vary depending on the motorcar you are running SAS on, the version of SAS you are running and the Operating Organization (Os) yous are using.

If you are using SAS OnDemand for Academics, you must first upload the files to the SAS server.

Please visit hither for instruction if you are not sure how to do this.

i. Importing a Comma Separated Values (CSV) File with PROC IMPORT

Using the cars.csv dataset, we will walk though an example of how to import this dataset into SAS using PROC IMPORT.

The first part you demand following the PROC IMPORT statement is the datafile argument. The datafile statement is required so that SAS knows where the file yous would like to import is stored and what the name of that file is.

Inside the quotation marks post-obit the datafile argument, you need to add the complete path, including the filename and file extension.

Equally noted above, be certain to replace '/dwelling/your_username/SASCrunch' with the correct directory on your machine or environment where cars.csv is saved.

 In this example, "/home/your_username/SASCrunch" is the path, "cars" is the filename, and ".csv" is the file extension.

After specifying the location and dataset name, you can add together an output dataset name using the out statement. Hither, a dataset named CARS is going to be output to the WORK directory.

Finally, the DBMS option is used to indicate the type of file that y'all would like to import. In this case, the value for DBMS is CSV.

proc import datafile  = '/home/your_username/SASCrunch/cars.csv'
 out  = work.cars
dbms  = CSV
 ;
run;

After running the above lawmaking (with the datafile path modified to point to a binder in your surround) you should come across the output information (shown partially beneath) with 428 rows and 15 columns:

When yous effort to re-run a PROC IMPORT statement that yous successfully ran previously, you volition discover the post-obit NOTE in your SAS log and the PROC IMPORT volition not run:

Equally the note indicates, adding the Supercede pick to your PROC IMPORT call will tell SAS that it is permissible to overwrite the dataset you lot created previously, and you tin can re-run the exact aforementioned PROC IMPORT code as needed:

proc import datafile = '/home/your_username/SASCrunch/cars.csv'
 out = cars
 dbms = csv
supplant;
run;

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2. Importing a Comma Separated Values (CSV) File with Information Step

Although the amount of SAS code required to import a CSV file using Data Footstep is longer than the code required for PROC IMPORT, using Data Step code allows for greater flexibility.

By using Data Stride code, the variable names, lengths and types tin exist manually specified at the time important. The advantage is that this allows yous to format the dataset exactly the way y'all want as soon equally information technology is created in SAS, rather than having to brand additional modifications later on.

Offset, as with any SAS Information Footstep lawmaking, y'all need to specify the name and location for the dataset y'all are going to create. Here, a dataset named CARS_DATASTEP will be created in the Work directory.

The next step is to utilise the INFILE statement. The INFILE statement in this case is made up of half dozen components:

1. The location of the CSV file - /home/your_username/SASCrunch in this example
2. Delimiter selection – the delimiter constitute on the input file enclosed in quotation marks (delimiter is ',' in this case since it is a CSV file)
3. MISSOVER pick – Tells SAS to keep reading the record fifty-fifty if a missing value is establish for one of the variables
4. FIRSTOBS – The outset row that contains the observations in the input file (Gear up to 2 in this example since the observations commencement on the second row in the CARS.CSV file)
5. DSD – Tells SAS that when a delimiter is found within a quotation marking in the dataset, it should exist treated every bit a value and not a delimiter
6. LRECL – Maximum length for an unabridged tape (32767 is the default maximum to use which will ensure no truncation inside 32767 characters)

Later the INFILE statement, the simplest way to ensure that your variable names, lengths, types and formats are specified correctly is to use a format statement for each variable. Later on an advisable format has been assigned to each variable, the variables that you lot would like to import should be listed in guild after an INPUT statement. Note that character variables should have a dollar sign ($) after each variable proper name.

Note that you tin can also specify INFORMATs and LENGTHs optionally here, but in most cases the FORMAT and INPUT statements should be all you need for a successful import.

Beneath is the Data Step code that would successfully import the CARS.CSV file into a SAS dataset. As mentioned, be sure to update the path to the correct location of the CARS.CSV file on your environment earlier running the following code:

information work.cars_datastep;
infile  '/abode/your_username/SASCrunch/cars.csv'
delimiter =','
missover
firstobs =2
DSD
lrecl = 32767;

        format Make $5. ;
        format Model $xxx. ;
        format Type $half-dozen. ;
        format Origin $half-dozen. ;
        format DriveTrain $5. ;
        format MSRP $9. ;
        format Invoice $9. ;
        format EngineSize best12. ;
        format Cylinders best12. ;
        format Horsepower best12. ;
        format MPG_City best12. ;
        format MPG_Highway best12. ;
        format Weight best12. ;
        format Wheelbase best12. ;
        format Length best12. ;
input
                 Make $
                 Model $
                 Type $
                 Origin $
                 DriveTrain $
                 MSRP $
                 Invoice $
                 EngineSize
                 Cylinders
                 Horsepower
                 MPG_City
                 MPG_Highway
                 Weight
                 Wheelbase
                 Length
     ;
 run;

Later running the in a higher place code yous should encounter the CARS_DATASTEP information fix, shown partially here:

three. Importing a Comma Separated Values (CSV) File with SAS Studio

Using the built-in import data tool within of SAS studio, it is possible to import CSV files into SAS without actually writing any code. The same options that you specified in PROC IMPORT tin can exist customized using the indicate and click utility within SAS studio.

This department will likewise show yous how the tool tin be used to generate the PROC IMPORT syntax that you tin later change and run on your own.

Here is how y'all tin employ the indicate-and-click tool to import a CSV file into SAS.

i. Click on the Server Files and Folders Pane on the left hand side of the screen:

2. Navigate to the folder where your CSV file is stored:

3. Right click on the file which you would like to import and select Import Data:

4. Click on the Settings tab and review the current settings:

Past default, SAS will endeavor to choose the most appropriate options. Notwithstanding, similar to PROC IMPORT, yous can change the file blazon, starting row to read the data from, or the GUESSINGROWS option (i.e. the number of rows that SAS should read earlier determining the optimal variable types and lengths).

In this example, we will use the default Options, but volition change the name of the output dataset to something more informative:

5. To modify the name of the output dataset, click Modify:

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vi. Type in the data ready proper name cars_studio and click Save:

7. For convenience, SAS as well generates and displays the PROC IMPORT syntax which will be used to execute the import.

If yous adopt, you lot can modify the import settings using the generated syntax equally a starting bespeak. You can also copy, paste and modify this code as needed. To encounter the PROC IMPORT syntax SAS generates, simply click the Lawmaking/Results tab:

Annotation that the new Data Set name specified in the Settings window has also been updated in the Code tab automatically to reflect this modify.

8. The Split tab too provides a convenient view of both the Settings point-and-click window and the corresponding generated lawmaking window, all in one screen:

nine. Once y'all accept finished reviewing the settings and making any necessary changes, click the Run button to complete the import.

Annotation that no custom settings are required in this example to import the CARS.CSV file into a SAS dataset.

10. After running the import utility, you can click on the Code/Results tab again to explore the contents and view the newly created dataset (Piece of work.CARS_STUDIO):

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Source: https://sascrunch.com/importing-csv-files/

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