What's in your data? Extract schema, statistics and entities from datasets

DataOps Data Quality TestGen is part of DataKitchen's Open Source Data Observability. DataOps TestGen delivers simple, fast data quality test generation and execution by data profiling,  new dataset hygiene review, AI generation of data quality validation tests, ongoing testing of data refreshes, & continuous anomaly monitoring

edaSQL is a python library to bridge the SQL with Exploratory Data Analysis where you can connect to the Database and insert the queries. The query results can be passed to the EDA tool which can give greater insights to the user.

SQL based data profiling & data quality checks, which will help you to perform data profiling & data quality checks on SQL database at table & database level.

DATA PROFILING is a process of examining, analyzing, and creating useful summaries of data. The process yields a high-level overview which aids in the discovery of data quality issues, risks, and overall trends.

sales_analysis

Data Cleansing Basics

Pandas Exercises

customer review on jupyter notebook