HW9 Summary

Time Log Teams – time spent on other Teams’ sites (must have 3 entries or more):

Date: Mar. 8, 2025 From: 03:20pm To: 03:35pm

Date: Mar. 8, 2025 From: 03:36pm To: 03:46pm

Date: Mar. 8, 2025 From: 11:12pm To: 11:20pm

Date: Mar. 8, 2025 From: 11:21pm To: 11:29pm

Time Log – time spent on other students’ sites (must have 4 entries or more):

Date: Mar. 8, 2025 From: 03:50pm To: 03:55pm

Date: Mar. 8, 2025 From: 04:00pm To: 04:07pm

Date: Mar. 8, 2025 From: 11:34pm To: 11:42pm

Date: Mar. 8, 2025 From: 11:43pm To: 11:48pm

Essay I. Summary of your activities in your contents including new contents created (one paragraph). Provide all the hyperlinks (clickable) of new contents you have created this week.

This week, I created two posts. One introduces fun secret science behind battery. The other why airplane window is round. Below are the hyperlinks to the new content I created this week:

The Secret Science Behind Why Your Phone Battery Always Dies at 1%

The Weird Reason Airplane Windows Are Round (and Why Square Ones Were Deadly!)

Essay II. Summary/analysis of your ‘automated insights’ (add screenshots) (one paragraph)

The automated insights show user activity trends from February 8 to March 9, 2025. The highest user engagement occurred on February 9, with a peak of around 11-12 users. After this spike, activity fluctuated at lower levels, generally between 1 to 4 users per day. This suggests that February 9 had a significant event or content update that drove traffic, while engagement remained relatively steady but lower on other days. Understanding what caused the peak on February 9 could help replicate similar engagement in the future.

Essay III. Summary/analysis of your ‘custom insights’ (add screenshots) (one paragraph)

For my custom insights, I used the recommended anomaly detection settings to track unusual activity in daily users, event counts, views, and key events. Additionally, I created a custom rule to monitor daily heavy user, setting an alert for user who views more than 3 posts. This allows me to track my heavy user.

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