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docs/index.md

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<p align="center">
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<img src="assets/logo.png" alt="Percentify" width="480">
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<img src="asset/log.png" alt="Percentify" width="480">
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</p>
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# Percentify
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## Install
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bash
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```bash
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pip install percentify
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```
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Requires numpy and pandas.
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Requires `numpy` and `pandas`.
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## A quick taste
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python
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```python
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import pandas as pd
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from percentify import missing
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})
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missing(df)
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```
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text
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```text
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column missing_pct
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0 salary 50.0
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1 age 25.0
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2 city 0.0
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```
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One import, one line. A clean, sorted DataFrame you can read or feed straight into the next step.
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| Function | What it answers |
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|---|---|
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| `change` | How much did a value grow — as numbers, columns, or a whole series? |
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| `change` | How much did a value grow, across numbers, columns, or a whole series? |
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| `vif` | Which features are collinear? |
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| `missing` | How much of each column is missing? |
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| `cv` | How variable is each column, relative to its mean? |

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