automated_data_analysis
An automated data analysis pipeline package for efficient data processing and cleaning.
Features
- Automated data loading (CSV/Excel)
- Duplicate removal
- Smart missing value handling
- Data format validation
- Statistical analysis
- Data accuracy checks
- Comprehensive terminal reporting
Check out the example script for more details.
Usage Parameters
analyze_data() :
-
file_path : Path to CSV/Excel file
-
fill_strategy (optional) : Dictionary specifying filling strategies for columns
-
stats_columns (optional) : List of columns for statistical analysis
-
stats (optional) : List of statistics to calculate (default: ['mean', 'median', 'std', 'min', 'max'])
Dependency :
- pandas>=1.0.0
- numpy>=1.18.0
- openpyxl>=3.0.0
Installation
pip install automated_data_analysis
Metadata
Release files for automated-data-analysis 1.1.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| automated_data_analysis-1.1.1.tar.gz | 4.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| automated_data_analysis-1.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.3 kB
Release files / automated_data_analysis-1.1.1.tar.gz
| Download URL | automated_data_analysis-1.1.1.tar.gz |
|---|---|
| Size | 4.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / automated_data_analysis-1.1.1-py3-none-any.whl
| Download URL | automated_data_analysis-1.1.1-py3-none-any.whl |
|---|---|
| Size | 7.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.13.1
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Security for automated-data-analysis 1.1.1
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