ExploratoryDataAnalysis
Python Package that performs Exploratory Data Analysis
It imports csv file, returns the summary of the data in the file using the Pandas Dataframe.info() function. Contains functions that returns the number of missing features, number of numerical and categorical features as well the number of features containing outliers It also contain function that returns the histogram plot of each numerical variable as well as the bar plot of each categorical variables.
This package is still under construction.
1 maintainer
Metadata
1 maintainer
Release files for explore-data 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| explore_data-0.0.1.tar.gz | 2.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| explore_data-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.8 kB
Release files / explore_data-0.0.1.tar.gz
| Download URL | explore_data-0.0.1.tar.gz |
|---|---|
| Size | 2.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / explore_data-0.0.1-py3-none-any.whl
| Download URL | explore_data-0.0.1-py3-none-any.whl |
|---|---|
| Size | 3.1 kB |
| Tags | Python 3 |
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