Created by Browserling
Free online CSV columns to rows converter. Just upload your CSV file in the form below, and this tool will automatically convert all columns to rows in your CSV. In the tool options, you can select the method for filling incomplete values and also exclude comments by specifying the character that starts comment lines in the CSV. Created by programmers from team Browserling.
This tool converts columns of CSV (Comma Separated Values) data into rows. The program takes a CSV file as the input, automatically splits the data into individual columns, and reorganizes them from vertical arrangement into horizontal arrangement, making them rows. For example, if the input CSV has 5 columns and 10 rows, then the output CSV will have the opposite size, with 10 columns and 5 rows. Converting CSV columns to rows allows you to change the structure of your data, which creates new perspectives for more in-depth data analysis. The program handles everything automatically, with the only customizable option being the symbol indicating comments in the CSV file. Typically, comments start with a hash symbol "#comment" or two slashes "//comment". Specifying this symbol in the options will remove comments during the conversion process. Additionally, the tool automatically removes all empty rows without any information, giving you a clean dataset ready for further use. In cases where the input CSV has incomplete columns or rows (with a different number of values in records), you can choose how to handle such cases in the options. You can either place empty values in these positions or insert a custom value, which you specify in the options. Csv-abulous!
In this example, we transform the columns of a simple CSV file into rows. The input CSV file contains numerical and alphanumeric data organized into columns "a", "b", "c", and "d". The data consists of 4 columns and 3 rows. After the transformation, the values in the input columns change their positions. Now, the data has 3 columns and 4 rows, with the original headers "a", "b", "c", and "d" starting each horizontal row.
This example restructures CSV data in such a way that columns become rows. The CSV file contains information about fruits, their colors, and dominant vitamins, organized in vertical comma-separated columns. After converting columns to rows, the first column with fruit names becomes the first row of the output data, the second column with color names becomes the second row of the output data, and the third column with a list of vitamins becomes the third row in the output CSV. The program also removes all empty lines from the CSV file and eliminates comments that begin with the hash symbol "#".
In this example, we load a CSV file from our chemistry class with information about chemical elements. As we were copying the file, we accidentally forgot to copy the end of the file and it now contains incomplete data columns. Specifically, the "Symbol" and "State" columns lack values of the last element: "Carbon". To correctly transform columns into rows and mark places with missing values, we use the CSV data handling mode that fills the missing values with specific placeholder values. In this case, we enter the question mark "?" in the options and now, all missing values are question marks.
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!
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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.
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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.
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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.
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Preview the contents of a CSV file in an interactive editor.
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