Midterm Exam – Ntense

http://midterm.obonon.sites.carleton.edu/blog/

I made a graph of moose species sightings in North America in 2023

12 thoughts on “Midterm Exam – Ntense

  1. This is cool! It’s interesting that you have graphed positional accuracy over the months, at first I thought you were just graphing number of moose per month. I wonder how this data could be understood. Does positional accuracy have more to do with the person logging the animal or the animal itself? I’m not sure I fully understand. Is the value of positional accuracy rising because there are just more entries that have a positional accuracy value attached?

  2. First of all, I really like the layout and design of your website. The background makes the text easy to read and visually appealing and the text is separated into nice sections. I also graphed the same variables, but instead of 2023, I did all of the data. I found similar results, with the most moose sightings in June compared to yours with July.

  3. This project is a valuable contribution to understanding moose behavior and their movement patterns. The insights derived from this dataset can prove helpful for researchers, conservationists, and wildlife enthusiasts interested in studying and preserving these creatures. One of the standout aspects of this project is its intersection with Digital Humanities. Incorporating artistic and humanistic elements into data visualization makes the information more engaging and accessible to a broader audience. This creative approach not only informs but also captivates and educates in a visually compelling manner. Nonetheless, it’s crucial to recognize the inherent challenges associated with wildlife sighting datasets, such as potential inaccuracies and the risk of misinterpretation. Addressing these limitations is vital to ensure the reliability of the insights derived from the data. It’s an excellent practice to approach such datasets with a critical eye while still appreciating the rich opportunities they offer for understanding our natural world.

  4. Your webpage is very neat and clean. It makes the information you are presenting very easy to internalize. The dataset you chose is also really cool. This is important information, and it is important to be able to present it in an accessible manner for the general public. Your choices and insights on this data make me want to look more into it.

  5. I really thought you did a good job creating a website that was both straightforward and intuitive. Understanding moose behavior is an interesting topic to focus on and I thought your graph did a good job displaying variance in moose positions based on the type of moose. I also really liked the website layout, and I especially liked how you broke up the text into various sections. Overall I was very impressed.

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