csvtool

CSVtool is a command-line utility that allows users to manipulate and process CSV (Comma-Separated Values) files in the Linux/Unix environment. It provides various functionalities to work with CSV files efficiently. Here are some notable features of csvtool:

1. Data manipulation: csvtool enables users to modify, transform, and extract data from CSV files. It provides options to rearrange columns, append or delete rows, sort data, merge files, and much more.

2. Filtering and searching: With csvtool, users can search for specific patterns or values within a CSV file. It supports simple matching, regular expressions, and case-insensitive search, allowing users to find and extract relevant data quickly.

3. Aggregation and calculation: The tool facilitates aggregating data from the CSV file, performing mathematical calculations, and generating aggregate reports. Users can calculate sums, averages, maximum and minimum values, count occurrences, and more.

4. CSV format validation: It offers features to validate the structure and integrity of CSV files. Users can check for various CSV file properties, such as correct number of columns, data consistency, and data types.

5. Batch processing: Csvtool supports batch processing, allowing users to apply various operations to multiple CSV files simultaneously. This feature is particularly useful when dealing with large datasets or automating repetitive tasks.

6. Flexible input and output options: It supports reading CSV data from standard input or file input, and can write output to standard output or files. This flexibility enables users to integrate csvtool seamlessly into complex data processing pipelines or scripts.

7. Scripting capabilities: Csvtool provides a scripting feature where users can write custom scripts to perform complex operations on CSV data. This allows for advanced data manipulation and customization according to specific requirements.

Overall, csvtool is a versatile command-line utility for manipulating and processing CSV files efficiently. It is widely used by data analysts, developers, and system administrators to handle large datasets, perform data transformations, and automate CSV-related tasks.