fg-data-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Analyze the quality of your data with just one line of code and export the results in various formats.
From the README
pip uninstall ydata-profiling
- Type inference: automatic detection of columns' data types (Categorical, Numerical, Date, etc.)
- Warnings: A summary of the problems/challenges in the data that you might need to work on (missing data, inaccuracies, skewness, etc.)
- Univariate analysis: including descriptive statistics (mean, median, mode, etc) and informative visualizations such as distribution histograms
- Multivariate analysis: including correlations, a detailed analysis of missing data, duplicate rows, and visual support for variables pairwise interaction
- Time-Series: including different statistical information relative to time dependent data such as auto-correlation and seasonality, along ACF and PACF plots.
- Text analysis: most common categories (uppercase, lowercase, separator), scripts (Latin, Cyrillic) and blocks (ASCII, Cyrilic)
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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fg-data-profiling has 13.6k stars on GitHub. It has been forked 1.8k times. fg-data-profiling is written mainly in Python. It has been in active development since 2016. fg-data-profiling is available under the MIT license. Its main topics are big-data-analytics, data-analysis, data-exploration, data-profiling.
What is fg-data-profiling?
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Is fg-data-profiling open source?
fg-data-profiling is an open-source project. It is released under the MIT license.
Is fg-data-profiling free?
Yes. fg-data-profiling is free and open source — you can use, modify and self-host it.
What license does fg-data-profiling use?
fg-data-profiling is available under the MIT license.
What language is fg-data-profiling written in?
fg-data-profiling is written mainly in Python.
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