Update README.md

Author: erdogant

README.md

@@ -6,41 +6,40 @@
 [![Downloads](https://pepy.tech/badge/df2onehot/month)](https://pepy.tech/project/df2onehot/month)
 [![Downloads](https://pepy.tech/badge/df2onehot)](https://pepy.tech/project/df2onehot)
 [![DOI](https://zenodo.org/badge/245003302.svg)](https://zenodo.org/badge/latestdoi/245003302)
+[![Sphinx](https://img.shields.io/badge/Sphinx-Docs-Green)](https://erdogant.github.io/df2onehot/)
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 ``df2onehot`` is a Python package to convert unstructured DataFrames into structured dataframes, such as one-hot dense arrays.
 
 # 
-**Star this repo if you like it! ⭐️**
+**⭐️ Star this repo if you like it ⭐️**
 #
 
-### Installation
+#### Install df2onehot from PyPI
 
-```
+```bash
 pip install df2onehot
 ```
 
-* Alternatively, install df2onehot from the GitHub source:
-```bash
-git clone https://github.com/erdogant/df2onehot.git
-cd df2onehot
-python -U setup.py install
-```  
-
 #### Import df2onehot package
+
 ```python
-import df2onehot
-# Example dataset
-df = df2onehot.import_example()
+from df2onehot import df2onehot
 ```
+# 
+
+
+### [Documentation pages](https://erdogant.github.io/df2onehot/)
 
-#### Example:
+On the [documentation pages](https://erdogant.github.io/df2onehot/) you can find detailed information about the working of the ``df2onehot`` with many examples. 
+
+<hr> 
+
+### Examples
 
 ```python
-from df2onehot import df2onehot
-# Convert
-out = df2onehot(df)
+results = df2onehot(df)
 ```
 
 ```python
@@ -59,6 +58,16 @@ out = df2onehot(df, y_min=2, perc_min_num=0.8)
 ```
 
 
+# 
+* [Example: Process Mixed dataset](https://erdogant.github.io/df2onehot/pages/html/Examples.html#)
+# 
+* [Example: Extracting nested columns](https://erdogant.github.io/df2onehot/pages/html/Examples.html#extracting-nested-columns)
+# 
+* [Example: Setting custom dtypes](https://erdogant.github.io/df2onehot/pages/html/Examples.html#custom-dtypes)
+#
+
+<hr>
+
 #### Maintainers
 * Erdogan Taskesen, github: [erdogant](https://github.com/erdogant)
 * Contributions are welcome.