Metadata-Version: 2.1
Name: completely
Version: 0.1.0
Summary: A simple tool to measure data completeness
Home-page: https://github.com/INNOVINATI/completely
Author: Maximilian Wolf
Author-email: maximilian.wolf@innovinati.com
License: UNKNOWN
Project-URL: Bug Reports, https://github.com/INNOVINATI/completely/issues
Project-URL: Source, https://github.com/INNOVINATI/completely/
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.6, <4
Description-Content-Type: text/markdown

# completely
*High-quality* data is extremely important nowadays. But before you start cleaning/processing it,
you might want to check how **complete** the dataset really is:

```python
from completely import measure

data = [{'name': 'Bob', 'age': 42}, {'name': 'Alice', 'age': None}, {'name': '', 'age': 100}]
print(measure(data))

# Output: 0.667
```

**completely** currently works with:
- Lists of strings / ints / floats
- Lists of dicts
- Nested lists of one of the above


