Welcome to the Dining Satisfaction Dashboard project! This project focuses on creating a Statistics Dashboard using Looker Studio to provide insightful visualizations and reports for a dining restaurant's survey data. The goal is to deliver actionable insights that empower clients to make informed decisions.
Use Looker Studio's powerful features to create comprehensive reporting and visually stunning visualizations of your dining satisfaction dataset.
As a data professional, I infuse my dashboard with a storytelling element. You also craft a narrative through the data, making the insights not only useful, but engaging as well. So that the customer can make critical decisions so I focused on providing strategically useful insights for business success.
The dataset provided for this project is called “Food Satisfaction”. It contains valuable information related to customer reviews, ratings and different aspects of the dining experience.
I explored predictive analytics using machine learning (ML) to predict user satisfaction based on their ratings using prediction models and experimented with three of them (### SVC - RandomForest - LogisticRegression) which realted with more than one feature.
The project is organized as follows: