iris_tableau_python

leverage the power of python and tableau to build up real-time ML data analysis solution based on Iris dataset.

Python version: 2.7
Tableau Desktop: 10.3

Before you run the twbx file, you need to prepare your enviroment as below:

1. download iris_classiffier2.ipynb and dataset files;
2. config jupyter notebook enviroment on your machine;
3. install tabpy_server and tabpy_client then startup the server;
4. run ipynb file and deploy the function to tabpy server;
5. open twbx file, config tabpy server address, then enjoy it!

References：

Tableau Tabpy Github page
Building advanced analytics applications with TabPy