Luxury EDA with Lux
Useful DS-tools that will come in handy in your daily work. For example, the Lux – Python-library, which simplifies and accelerates data exploration by automating the process of visualizing and analyzing data. For the dataframe in the Jupyter Notebook, Lux recommends a set of visualizations that highlight interesting trends and patterns in the dataset. The visualizations are displayed using an interactive widget that allows users to quickly browse through large collections of visualizations and understand the data. Deeply integrated with Pandas, Lux supports the various geographic and temporal data types in the library, as well as SQL queries against Postgres.
Lux consists of several modules, each of which performs its own duties:
• user interface level;
• level of verification and analysis of user input;
• intent processing level, data execution level, and finally, analytics level.
https://github.com/lux-org/lux
https://lux-api.readthedocs.io/en/latest/source/getting_started/overview.html