Graphs are the third part of the process of data analysis. The first part is about **data extraction**, the second part deals with **cleaning and manipulating the data**. At last, the data scientist may need to **communicate his results graphically**.

The job of the data scientist can be reviewed in the following picture

- The first task of a data scientist is to define a research question. This research question depends on the objectives and goals of the project.
- After that, one of the most prominent tasks is the feature engineering. The data scientist needs to collect, manipulate and clean the data
- When this step is completed, he can start to explore the dataset. Sometimes, it is necessary to refine and change the original hypothesis due to a new discovery.
- When the
**explanatory** analysis is achieved, the data scientist has to consider the capacity of the reader to **understand the underlying concepts and models**.
- His results should be presented in a format that all stakeholders can understand. One of the best methods to
**communicate** the results is through a **graph**.
- Graphs are an incredible tool to simplify complex analysis.