TabPy is an Analytics Extension from Tableau that allows users to execute Python Scripts and saved functions using Tableau. With TabPy, we can run Python Script on the fly and display results as a visualization. It is also possible to control data sent to TabPy by interacting with the Tableau worksheet and dashboard via the parameters.
We all know Python programming is the most popular language used to work on various statistical problems. Using this language with Tableau is a significant improvement in improving the effectiveness of a Developer.
Now, let’s discuss why you need to start using TabPy.
Key Reasons
For Data Cleaning Purpose: With TabPy, we can perform data cleaning on messy data by removing non-useful columns, missing values, and as well any other actions we might want to perform. TabPy gives Developers the feel of working smarter.
For Building predictive algorithms: Predictive Modeling is a way we use our data and statistics to predict the outcome of a data model. This process is also known as predictive analysis. Therefore, using TabPy, we can build our Predictive Algorithms inside Tableau.
Churn prediction: Churn Prediction is another vital aspect business owners mostly dwell on. With TabPy, we can learn when and why users leave…
