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Technical Paper Reading Delimited Text Files into SAS9 Release Information Content Version: 1.1July 2015 (This paper replaces TS673 released in 2009.) Trademarks and Patents SAS Institute Inc., SAS
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How to fill out reading delimited text files:

01
Start by opening the text file using a text editor or a programming language that can read files, such as Python or Java.
02
Determine the delimiter used in the text file. Common delimiters include commas, tabs, and semicolons.
03
Use the appropriate function or method to read the file and separate the data into individual fields based on the delimiter. In Python, you can use the `csv` module or the `pandas` library for more advanced operations.
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Iterate through each line of the text file and split the data into fields using the delimiter. Store the fields in variables or data structures for further processing.
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Perform any necessary data cleaning or formatting. This may include removing unnecessary characters, converting the data type, or rearranging the order of fields.
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Apply any desired analysis or manipulation to the data. This could involve filtering, sorting, aggregating, or transforming the data as per the requirements.
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Finally, save or export the processed data in the desired format or use it for further analysis, reporting, or visualization.

Who needs reading delimited text files:

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Data analysts and scientists who work with large datasets often encounter delimited text files. They need to read and extract data from these files to perform analysis, derive insights, and make data-driven decisions.
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Developers who build applications that involve data import/export functionality may need to read delimited text files. This could be in scenarios like building an ETL (extract, transform, load) pipeline, integrating data from various sources, or generating reports from raw data.
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Business professionals who work with data from spreadsheets or CSV files may need to read delimited text files to import the data into specific software or systems for further analysis or processing. This could include marketing professionals, financial analysts, or operations managers.
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Reading delimited text files involves extracting data from files where the data is separated by a specific character, such as a comma or a tab.
Any individual or organization that needs to extract and analyze data stored in delimited text files may be required to fill out reading delimited text files.
To fill out reading delimited text files, one needs to use software or programs that can read and parse the delimited text files. This usually involves specifying the delimiter character and importing the data into a table or spreadsheet format.
The purpose of reading delimited text files is to easily and efficiently extract and analyze data stored in these files, which can be used for various purposes such as reporting, analysis, and decision-making.
The information reported on reading delimited text files will depend on the specific data stored in the files. This could include financial data, customer information, inventory details, etc.
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