- Discuss datasets you’re thinking about. Write a brief post about some of the datasets you’re considering, either from the “Approved” Datasets, from the community partners, or from your own exploration. What are some of your considerations for choosing your Phase 1 dataset?
- Discuss your visualization progress. Please show screenshots and updates on your visualization progress. We will spend some time next week on your work, questions, and progress.
Hello，I am Evelyn, a first-year graduate of IDM. In this early August, I encountered the Google Analytics online including courses both for beginners and advanced ones. There what impressed me most is the website data collection. It begins with a snippet of JS tracking code that’s included on every web page of the site where I want to collect data. The goal of the tracking code is to track each user interaction that occurs on the website. These interactions can be as simple as loading a page or something more specific like clicking a video play button or a link. It could be used to my own website to see the number of viewers or the parts most visitors interested in.
That is the very beginning when I realized the vital role of data, thus I enrolled in this course wishing to learn more methods of visualizing and analyzing data. So far I have experience in using of JS and its libraries like Bootstrap, p5, and jQuery. Now it is time for me to ‘hit the books’ – learning ‘D3.js’, a JS library for visualizing data with HTML, SVG, and CSS. I would utilize tutorial resources like online courses on Lynda.com and put what I learned into practice.