docs: Improve README.md

README.md

@@ -1,43 +1,55 @@
 # Edvart
 
-Exploratory Data Analysis (EDA) is a very initial task a data scientist
-or data analyst does when he reaches new data.
-EDA refers to the critical process of performing
-initial investigations on data to discover patterns, to spot
-anomalies, to test hypothesis and to check assumptions with the help
-of summary statistics and graphical representations.
+Exploratory Data Analysis (EDA) is the initial task a data scientist or data
+analyst undertakes when they obtain new data. EDA refers to the critical
+process of conducting preliminary investigations on data to uncover patterns,
+spot anomalies, test hypotheses, and verify assumptions with the help of
+summary statistics and graphical representations.
 
-Effective data visualization and reporting tool (edvart for short) is a tool that
-generates a report in the form of a Jupyter notebook that contains various
-analyses of the data passed in.
+The Effective Data Visualization and Reporting Tool (Edvart for short) is a
+tool that generates a report in the form of a Jupyter notebook, containing
+various analyses of the input data.
 
 ## Installation
+
 Edvart is available on PyPI and can be installed using pip:
+
 ```bash
 pip install edvart
 ```
 
 ## Usage
+
 See the notebook `api-example.md` for usage examples.
 
 ## User documentation
 
 The user documentation is available at https://datamole-ai.github.io/edvart/.
 
 ## License
-edvart is licensed under the [MIT license](https://opensource.org/license/mit/). See the LICENSE file for more details.
 
-## How to contribute
+Edvart is licensed under the [MIT
+license](https://opensource.org/license/mit/). See the LICENSE file for more
+details.
+
+## How to Contribute
+
 See [CONTRIBUTING.md](CONTRIBUTING.md).
 
-## Markdown notebooks
-Jupyter notebooks are stored in markdown format in the repository. To convert a Markdown notebook to a Jupyter notebook, use `jupytext`. `jupytext` is included in the development dependencies of this project.
-For example convert `api-example.md` to `ipynb` Jupyter notebook format:
+## Markdown Notebooks
+
+Jupyter notebooks are stored in markdown format in the repository. To convert a
+Markdown notebook to a Jupyter notebook, use
+[jupytext](https://github.com/mwouts/jupytext). `jupytext` is included in the
+development dependencies of this project. For example convert `api-example.md`
+to `ipynb` Jupyter notebook format:
+
 ```bash
 jupytext --to ipynb api-example.md
 ```
 
 To convert an `ipynb` notebook to markdown:
+
 ```bash
 jupytext --to md api-example.ipynb
 ```