HW6 Summary

Time Log – time spent on other students’ sites:

Date: Feb 11, 2026, From 9:30pm to 10:00 pm

Date: Feb. 12, 2026, From 9:15pm to 10:00pm

Date: Feb. 13, 2026, From 9:30pm to 10:00pm

Date: Feb. 14, 2026, From 3:00pm to 4:00pm

Date: Feb. 14, 2026, From 10:00pm to 10:30pm

Date: Feb. 15, 2026, From 11:30am to 12:00pm

Date: Feb. 15, 2026, From 5:30pm to 6:00pm

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.

I installed a plug-in Robo Gallery to my website to display images of famous landmarks in Seattle. This gallery can be seen from the homepage. I wanted to add images to my homepage to make it more visually appealing. Image sources are displayed on the bottom left corner.

Homepage

I also created a new page called My Learning to include the two new posts that I created this week. The My Learning page is linked below.

My Learning

In My Learning page, the two new posts are displayed using an automatic slider. I’ve also added a gallery of recommended books on investment topics at the end of the page with links to buy from Amazon for anyone who is interested. The links to the new posts are below.

1st post: What is compound interest?

2nd post: A week as a mechanic

A HW6 page is added under HWs menu with link below

HW6

The HW6 page includes 3 posts, HW6 Summary and the two posts that I created under My Learning.

I addition to new contents, I also went back and make small changes to my existing menu. I updated the More Links menu page to include links to the practice HTML. I also reformatted the IT Trends page and My Life page to include feature images.

More Links

IT Trends

My Life

Essay II: Summary of your “Exploration in GA4 (add a screenshot) (one paragraph)

Below is a screenshot of GA4 user report for my website. There are 14 new users who visited my website. This report also tells me how many views each of my page is getting. Some of the popular posts with the most views are My Career and My Hobbies.

I’ve also looked at users’ demographic data. Most of the visitors on my website are from Seattle and greater Seattle area such as Kent, Redmond and Auburn. There’s also one user from San Jose California. The below summary also tells me the platform that people are using to visit my website, with 12 using desktop and 3 using mobile devices.

From the home screen, I can see that most of the website traffic occurred on the weekend. There are some events recorded throughout the week but at a much lower number compared to the weekends.

Essay III. What have you started to see that you have no known/seen before in your site? (one paragraph)

I noticed that GA4 is tracking my own activity when I visit my own websites and make updates. I think the data collected over the past week is skewed due to internal admin activities and that it does not reflect the actual user trends. I did a quick google search and added an internal traffic rule to exclude my IP addresses (both desktop and mobile) from being counted in the reports. After setting up internal traffic rule, I also went to adjust data filer setting to exclude internal traffic.

Since the data might be skewed, I looked at GA4 Exploration tool and used User Explorer to get a list of user IDs. The first user with the biggest number of event count is most likely admin. There is a list of 10 user IDs. However, the total number of active user recorded was 15 including admin. There are most likely a few users with unidentified IDs.

A new metric that I learned was user stickiness, which measures how frequent the users return to the page. A 20% user loyalty is generally considered healthy. From the data collected, I have 4 returning users but this number might be including admin as well. According to report, my website is at about 30% for Daily Active User (DAU) stickiness, which falls in the healthy range. New data collected starting this week will exclude admin activities and will hopefully reflects a more accurate user retention metric.

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