ngdataqualitycheck
ngdataqualitycheck a Python package for checking data quality and generating the data quality report.
Table of contents:
Installation:
To install the package in your local environment, open a terminal inside your project directory and type:
pip install ngdataqualitycheck
To upgrade the already existing installation, run
pip install -U ngdataqualitycheck
Usage:
Here is how you can use the package in your working environment.
# import the package
from ngdataqualitycheck import generate_report
# define the filename
filename = 'sample.csv'
# call the method
generate_report(filename)
This will generate a consolidated word document along with three csv files that contains the global statistics, profile schema and the profile summary.
1 maintainer
Release files for ngdataqualitycheck 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 | |
|---|---|---|---|
| ngdataqualitycheck-0.0.1.tar.gz | 20.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ngdataqualitycheck-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 42.8 kB
Release files / ngdataqualitycheck-0.0.1.tar.gz
| Download URL | ngdataqualitycheck-0.0.1.tar.gz |
|---|---|
| Size | 20.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.8.0
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Release files / ngdataqualitycheck-0.0.1-py3-none-any.whl
| Download URL | ngdataqualitycheck-0.0.1-py3-none-any.whl |
|---|---|
| Size | 22.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.0
|
