Analysing Fitness Tracker Market: Step By Step EDA
Here is a short FAQ about this repository
1) What is this repository about?
This repository is about Market Analysis of Fitness Trackers. The jupyter notebook (.ipynb) provides the code and this readme contains all the relevant information about the Market Analysis of fitness trackers.
2) Which tools have been used for the Analysis?
Python, Seaborn, Matplotlib, Altair - all open-source libraries have been used.
3) Which dataset has been used?
This is a product specifications , rating and reviews dataset collected using web scraping technique. The actual dataset used here is from kaggle https://www.kaggle.com/datasets/devsubhash/fitness-trackers-products-ecommerce
4) What does the dataset contain?
This dataset contains 565 entries and 11 attributes related to fitness trackers.
Details of this tutorial and model setup are discussed in my article https://www.analyticsvidhya.com/blog/2021/11/how-to-use-python-to-analyse-fitness-tracker-market-step-by-step-eda/ published on Analytics Vidhya.