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[Draft] Add Exploratory Data Analysis Guide #134

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---
title: Exploratory Data Analysis
author: neomatrix369
description: The purpose of this guide is to talk about exploratory data analysis and the different steps you need to do on your dataset to get a better insight about the Machine Learning models you are about to create.
---

# What you will learn
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.
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# Index
- [How to use this guide?](#How-to-use-this-guide)
- [The end-to-end process](#The-end-to-end-process)
- [Research or business questions](#Research-or-business-questions)
- [Start Small](#Start-small)
- [Small steps](#Small-steps)
- [The Toolkit and sources](#The-Toolkit-and-sources)
- [Exploratory Data Analysis](#Exploratory-Data-Analysis)
- [Vizualisation](#Vizualisation)
- [Sanity Check](#Sanity-Check)
- [Ethics](#Ethics)
- [Interpretability / Explainability](#interpretability--explainability)
- [Automate The Boring Stuff!](#Automate-the-boring-stuff)
- [Resources](#Resources)
- [Conclusions](#Conclusions)

**Let's Start!**

### How to use this guide?
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.
.

[Back to the index](#index)

### The end-to-end process

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.
.

[Back to the index](#index)

### Research or business questions

.
.
.

[Back to the index](#index)

### Start Small

.
.
.

[Back to the index](#index)

### Small steps

.
.
.

[Back to the index](#index)

### The Toolkit and sources

.
.
.

[Back to the index](#index)


### Exploratory Data Analysis

.
.
.

[Back to the index](#index)

### Visualization

.
.
.

[Back to the index](#index)

### Sanity Check

.
.
.


#### Ethics

.
.
.

#### Interpretability / Explainability

.
.
.


[Back to the index](#index)

### Automate The Boring Stuff!

.
.
.


[Back to the index](#index)

### Resources

.
.
.


[Back to the index](#index)

### Conclusions

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.
.

[Back to the index](#index)