Download the dataset below to solve this Data Science case study on Bounce Rate Analysis.
Bounce rate is a crucial metric in web analytics that measures the percentage of visitors who land on a website and leave without engaging in any further interactions. It indicates the effectiveness of a website in capturing and retaining the attention of its visitors.
Given a dataset containing information about the bounce rate, session duration, and other features of website users, the goal is to analyze the bounce rate and its relationship with session duration.
Your task is to gain insights into user engagement and identify factors that contribute to a high or low bounce rate. Find answers to questions such as:
- What is the overall bounce rate of the website?
- Are there any specific patterns or trends in the relationship between bounce rate and session duration?
- Can we identify segments of users with different bounce rate behaviours?