Provided by: python3-clevercsv_0.8.2+ds-1build4_amd64 

NAME
clevercsv - CleverCSV command line tool
SYNOPSIS
clevercsv [-h | --help] [-V | --version] [-v | --verbose] <command ...>
DESCRIPTION
CleverCSV is a Python library and command line tool for dealing with messy CSV files. It consists of a
number of commands that can be used to analyze, explore, or standardize a messy CSV file.
Further help and documentation can be found online at https://github.com/alan-turing-institute/CleverCSV
or https://clevercsv.readthedocs.io
OPTIONS
-h, --help
show this help message and exit
-V, --version
Show version and exit
-v, --verbose
Enable verbose mode
COMMANDS
The following commands are available in CleverCSV:
clevercsv-code(1)
Generate Python code to import a given CSV file
clevercsv-detect(1)
Detect the dialect of a CSV file
clevercsv-explore(1)
Infer the dialect and open the file in an interactive Python session
clevercsv-standardize(1)
Convert a messy CSV file to one that follows RFC-4180
clevercsv-view(1)
Detect the dialect and open the CSV file using TabView
AUTHORS
The CleverCSV package was originally written by Gerrit van den Burg and came out of scientific research
on wrangling messy CSV files by Gerrit van den Burg, Alfredo Nazabal, and Charles Sutton. This research
was conducted at and supported by The Alan Turing Institute. CleverCSV has since benefitted from a number
of open-source contributors on GitHub.
REPORTING BUGS
If you encounter an issue in CleverCSV, please open an issue or submit a pull request at
https://github.com/alan-turing-institute/CleverCSV. Please don't hesitate, you're helping to make this
project better for everyone!
NOTES
1. CleverCSV GitHub repository
https://github.com/alan-turing-institute/CleverCSV
2. CleverCSV documentation
https://clevercsv.readthedocs.io
3. Wrangling Messy CSV Files by Detecting Row and Type Patterns
https://gertjanvandenburg.com/papers/VandenBurg_Nazabal_Sutton_-_Wrangling_Messy_CSV_Files_by_Detecting_Row_and_Type_Patterns_2019.pdf
Clevercsv 0.8.2 2023-09-24 CLEVERCSV(1)