Are you looking for a way to query and manipulate data in CSV files without using complex software or coding skills? If so, you might be interested in QoT, a powerful command-line tool that allows you to query data from tables or sheets with ease.
QoT stands for Query over Table, and it is a tool that lets you filter, sort, and display data from CSV files using simple and intuitive commands. You can use QoT to quickly extract insights from large datasets, perform data analysis, or integrate QoT into your workflow.
With QoT, you can:
- Select the columns you want to display using the
--select
option - Specify the file name of the table or sheet using the
--from
option - Apply a condition to filter the query result using the
--where
option - Limit the number of rows in the query result using the
--limit
option - Sort the query result by a certain column using the
--orderby
option and choose either--asc
or--desc
to order the result in ascending or descending order - Print the query result in any of these supported formats:
CSV
,TSV
,PSV
,HTML
table,JSON
,YAML
,ASCII
grid table,Markdown
table, or borderless table (default) using the corresponding options
QoT is designed to be easy to use and provides a wide range of options for customizing your queries. Whether you’re a data analyst looking to quickly extract insights from large datasets or a developer looking to integrate QoT into your workflow, QoT has something to offer.
To install QoT, simply download the latest release from the releases page and setup locally as per the given instructions. To use QoT, you can run the qot command followed by the desired options. For more details on how to use QoT, please check out the guide and the FAQ sections on this page.
QoT is a free and open source tool licensed under the MIT License. If you’d like to contribute to the development of QoT, please check out our contributing guidelines.
QoT is a tool that can help you query and manipulate data in CSV files with ease. Try it out today and see for yourself how QoT can make your data analysis faster and simpler.
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