broompy - a simple data cleaning tool for Python
broompy is a Python library designed to help data scientists observe a summary of their Dataset and facilitate data cleaning. It reveals features that require cleaning or inspection. This library also displays charts to view the normal approximation of variable distributions and generates scatter plot to visualize correlation.
Github: https://github.com/juanduranc/broompy
Main Features
- Display count of null and available data.
- Display mean, median and 1.5 IQR outliers count.
- Identify data types of each variable.
- Identify count of unique values per variable.
- Identify the normal approximation using pvalue.
- Show a dataset sample to understand data content.
- Visualize trends with histograms and scatter plot.
1 maintainer
Metadata
1 maintainer
Release files for broompy 2.1.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| broompy-2.1.9.tar.gz | 7.2 kB | Details |
Release files / broompy-2.1.9.tar.gz
| Download URL | broompy-2.1.9.tar.gz |
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| Size | 7.2 kB |
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