---
description: >-
  "Data is often disorganised, making analysis and manipulation into
  visualisations difficult."
---

# 4.1 What to do with disorganised data?

<figure><img src="https://2315907434-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fi8JLXAtCzbzpRcnAIJsv%2Fuploads%2Fxmp69FAeBMhIQpMc57Nd%2Fimage.png?alt=media&#x26;token=bc93e76a-2956-43b7-8314-63d02afbc8b7" alt=""><figcaption><p>Organising data </p></figcaption></figure>

In this lesson we will focus on one of the most important parts of data-driven storytelling, but also the place where most mistakes are made.

* We will learn how to handle data and here we encounter the problem of the human interacting with the original information.
* Sometimes cleaning alone can take 40% or 60% of the time required by the entire data pipeline process.&#x20;
* We will focus on some cleaning techniques and develop and understanding of the logic behind them.
* Identify which variables in the data we are interested in because getting into the titanic task of cleaning it all might not be necessary. And time is an asset we cannot waste.
