1. Programmatically read the hourly smartwatch data of members from a text file.

2. Store the data in appropriate data structures, such as lists and dictionaries.

3. Compute performance statistics for each user (min, max, and average steps).

4. Visually analyze all members' activity data to achieve the following goals:

   a. Tracking a member's activity for a particular day through a line plot

   b. Categorizing members into groups based on their performance through a pie chart

   c. Comparing the performance of members through a sorted bar plot

   d. Providing a snapshot of all members' performance through a bubble plot