Always know what to expect from your data.
-
Updated
Nov 3, 2024 - Python
Always know what to expect from your data.
The premier open source Data Quality solution
Installer for DataKitchen's Open Source Data Observability Products. Data breaks. Servers break. Your toolchain breaks. Ensure your team is the first to know and the first to solve with visibility across and down your data estate. Save time with simple, fast data quality test generation and execution. Trust your data, tools, and systems end to end.
Reduce, filter, and anonymize moodle data for non-prod environments
mde: Missing Data Explorer
CSVParser is a tool to parse csv file using univocity and commons csv parsers. It cleans new line (\n) character & special characters between data. It also handle various garbage data like odd no of quotes or delimiters in side quotes. It validate each record with specified delimiter count and separate it out to _GoodRecords.CSV and _BadRecords.…
If you have some csv file and having CRLF, LF in between data and you want to create some table (Hive table). You will face issue that some of column have null value. It’s because line terminator in hive is \n and if and \n or \r coming between data it treating as line terminator before actual line terminator and rest for column is getting null …
Get data from Yummly API. Utilize nutrition theory as filter of recipes . Find similar flavor based on unsupervised clustering. Finally build up website to recoomend recipes based on flavor and nuitrition.
Add a description, image, and links to the datacleaner topic page so that developers can more easily learn about it.
To associate your repository with the datacleaner topic, visit your repo's landing page and select "manage topics."