Free online CSV column swapper. Just upload your CSV file in the form below, specify the columns to swap, and the tool will automatically change the positions of the specified columns in the output file. In the tool options, you can specify the column positions or names that you want to swap, as well as fix incomplete data and optionally remove empty records and records that have been commented out. Created by programmers from team Browserling.
Free online CSV column swapper. Just upload your CSV file in the form below, specify the columns to swap, and the tool will automatically change the positions of the specified columns in the output file. In the tool options, you can specify the column positions or names that you want to swap, as well as fix incomplete data and optionally remove empty records and records that have been commented out. Created by programmers from team Browserling.
This tool reorganizes CSV data by swapping the positions of its columns. Swapping columns can enhance the readability of a CSV file by placing frequently used data together or in the front for easier data comparison and editing. For example, you can swap the first column with the last or swap the second column with the third. To swap columns based on their positions, select the "Set Column Position" mode and enter the numbers of the "from" and "to" columns to be swapped in the first and second blocks of options. For example, if you have a CSV file with four columns "1, 2, 3, 4" and swap columns with positions "2" and "4", the output CSV will have columns in the order: "1, 4, 3, 2". To quickly swap the first column with the last one, you can use positions "1" (first) and "-1" (last). As an alternative to positions, you can swap columns by specifying their headers (column names on the first row of data). If you enable this mode in the options, then you can enter the column names like "location" and "city", and the program will swap these two columns. If any of the specified columns have incomplete data (some fields are missing), you can choose to skip such data or fill the missing fields with empty values or custom values (specified in the options). Additionally, you can specify the symbol used for comments in the CSV data, such as "#" or "//". If you don't need the commented lines in the output, you can remove them by using the "Delete Comments" checkbox. You can also activate the checkbox "Delete Empty Lines" to get rid of empty lines that contain no visible information. Csv-abulous!
This tool reorganizes CSV data by swapping the positions of its columns. Swapping columns can enhance the readability of a CSV file by placing frequently used data together or in the front for easier data comparison and editing. For example, you can swap the first column with the last or swap the second column with the third. To swap columns based on their positions, select the "Set Column Position" mode and enter the numbers of the "from" and "to" columns to be swapped in the first and second blocks of options. For example, if you have a CSV file with four columns "1, 2, 3, 4" and swap columns with positions "2" and "4", the output CSV will have columns in the order: "1, 4, 3, 2". To quickly swap the first column with the last one, you can use positions "1" (first) and "-1" (last). As an alternative to positions, you can swap columns by specifying their headers (column names on the first row of data). If you enable this mode in the options, then you can enter the column names like "location" and "city", and the program will swap these two columns. If any of the specified columns have incomplete data (some fields are missing), you can choose to skip such data or fill the missing fields with empty values or custom values (specified in the options). Additionally, you can specify the symbol used for comments in the CSV data, such as "#" or "//". If you don't need the commented lines in the output, you can remove them by using the "Delete Comments" checkbox. You can also activate the checkbox "Delete Empty Lines" to get rid of empty lines that contain no visible information. Csv-abulous!
In this example, we use our CSV column swapping tool to bring the most important information to the first column. As we're planning to go on vacation soon, in the input of the tool, we load data about national parks that include their names and locations. To decide, which is the closest park to us, we need to see the park's location first, therefore, we swap the first and second data columns so that the "location" column is at the beginning of the CSV data.
In this example, a lab intern made a mistake and created a corrupted CSV file with mixed-up columns and missing data. To fix the file, we swap the columns based on the headers "Vitamin" and "Function" so that the "Vitamin" column becomes the first in the output data. We also fill the incomplete CSV data by adding a custom asterisk "*" symbol in place of missing values.
In this example, we change the order of columns in a CSV dataset to have the columns essential for analysis adjacent to each other. We match the "ScreenSize" column by its name and place it in the second-to-last position "-2". This groups the "ScreenSize" and "Price" columns together, allowing us to easily compare and choose the phone we want to buy. We also remove empty lines and specify that lines starting with the "#" symbol are comments and should be left as is.
You can pass input to this tool via ?input query argument and it will automatically compute output. Here's how to type it in your browser's address bar. Click to try!
Edit the contents of a CSV file in a neat editor.
Remove duplicate rows in a CSV file.
Display detailed information about a CSV file.
Convert a CSV file to an HTML table.
Convert an HTML table to a CSV file.
Convert a CSV file to a Markdown table.
Convert a Markdown table to a CSV file.
Draw an ASCII table from CSV data.
Draw an ANSI table from CSV data.
Draw a Unicode table from CSV data.
Convert CSV to a PDF document.
Extract data from a PDF and create a CSV file.
Create a screenshot of CSV data.
Draw a CSV file as a PNG, JPG or GIF picture.
Extract data from an image and create a CSV file.
Convert a CSV file to an Excel spreadsheet.
Convert an Excel spreadsheet to a CSV file.
Convert a CSV file to a vCard file.
Convert a vCard file to a CSV file.
Convert CSV to a LaTeX table.
Generate SQL insert queries from a CSV file.
Create a CSV file from SQL query results.
Convert a CSV file to a qCSV (quoted CSV) file.
Convert a qCSV (quoted CSV) file to a CSV file.
Convert a CSV file to an INI file.
Convert an INI file to a CSV file.
Convert a CSV file to a JSONL (JSON Lines) file.
Convert a JSONL (JSON Lines) file to a CSV file.
Convert a CSV file to a plain text file.
Convert a plain text file to a CSV file.
Convert a CSV file to a null-separated values file (0SV).
Convert a null-separated values file (0SV) to a CSV file.
Convert a CSV file to a semicolon-separated file (SSV).
Convert a semicolon-separated file (SSV) to a CSV file.
Convert a CSV file to a hash-separated file (HSV).
Convert a hash-separated file (HSV) to a CSV file.
Convert a CSV file to a pipe-separated file (PSV).
Convert a pipe-separated file (PSV) to a CSV file.
Create an SQLite database from the given CSV file.
Export tables from an SQLite database as CSV files.
Convert a CSV file to a GeoJSON file.
Convert a GeoJSON file to a CSV file.
Merge together two or more CSV files.
Visually show the differences between two CSV files.
Run the diff algorithm on two CSV files.
Find CSV cells that contain certain data.
Return data in a CSV file that matches a pattern.
Extract a slice from a CSV file.
Cut a fragment from a CSV file.
Move CSV columns to the left or right.
Move CSV data rows up or down.
Sort the data in one or more CSV rows.
Randomly change the positions of CSV columns.
Randomly change the order of CSV rows.
Randomly change the order of all CSV values.
Change the name of CSV columns.
Generate a random CSV of any size.
Generate a CSV file that contains nothing.
Generate a large CSV file for testing.
Generate a custom CSV file with m rows and n columns.
Remove CSV columns that are completely empty.
Remove CSV rows that are completely empty.
Remove all fields in a CSV file that are empty.
Remove all empty lines in a CSV file.
Delete the comma separator from CSV files.
Delete extra commas around CSV values.
Delete comments (lines starting with # or //) from CSV files.
Delete the column header from a CSV file.
Delete the first line from a CSV file.
Minify a CSV file and remove unnecessary whitespaces.
Reduce the file size of a CSV file.
Change the character encoding of a CSV file to UTF8 or ISO-8859-1.
Add extra spaces between CSV columns.
Convert a CSV file to an m-by-n matrix.
Convert a CSV file to an array of arrays of fields.
Convert an array of arrays of fields to a CSV file.
Create a list from one or more CSV columns.
Create a list from one or more CSV rows.
Create an array from one or more CSV columns.
Create an array from one or more CSV rows.
Find the number of rows and columns of a CSV file.
Find the number of columns in a CSV file.
Find the number of rows in a CSV file.
Find the sum of CSV columns.
Find the sum of CSV rows.
Find the average value of CSV columns.
Find the average value of CSV rows.
Use different colors for CSV data, quotes, and commas.
Animate CSV data by showing column after column.
Automatically fix a broken CSV.
Introduce random errors to a CSV file for fuzz testing.
Hide personal or sensitive information in a CSV file.
Mask data in a CSV file.
Hide a secret message in a CSV.
Encrypt a CSV file and hide information in it.
Decrypt a previously encrypted CSV file and make it readable.
Create a visual drawing that shows the CSV structure.
Create a new CSV file in the browser.
Distort a CSV file by infusing it with Zalgo characters.
Neutralize the chaotic Zalgo and restore CSV integrity.
Preview the contents of a CSV file in an interactive editor.
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We're Browserling — a friendly and fun cross-browser testing company powered by alien technology. At Browserling our mission is to make people's lives easier, so we created this collection of CSV tools. Our tools have the simplest user interface that doesn't require advanced computer skills and they are used by millions of people every month. Our CSV tools are actually powered by our web developer tools that we created over the last couple of years. Check them out!