Viz
The overview viz
The data shown in this visualization was provided by carleton ZooBooks and Mike Kotchevar. With the information, we used an Excel spreadsheet for the ZooBooks information and used OpenRefined for the large bulky spreadsheet to organize all the data. This was shared among all of the visualizations
The website to make this visualization possible was LivingCharts.com, which was used to make a video using a bar graph of where students came from (the videos show enrollment from in-state and international students).
The data shown in this visualization will show where carleton students are from starting from 1965 and ending in 2023, the latest enrollment date.
A fix we could have for these videos is to make them more visually aesthetic since they show the enrollment by date.
9 thoughts on “Component 3 – Data Visualization (Issac, Sam, Arlo, Paul and Newton)”
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These are really cool visualizations. The color scheme looks great with the green to yellow to orange from top to bottom. It paints a clear picture over time about where Carleton students come from and is great for your project.
I really like this visualization. I think it is cool that you made one for states in the US and a separate one for international enrollments. The color gradient is also really nice visually and I think it is fun to look at the fluctuations.
I think this visualization is well done and I like seeing the changes throughout the years. I’m curious what the overall findings and conclusions your group will make based on the data. For example, is there a reason that certain countries or states have the highest student populations at Carleton in certain year(s)?
This visualization is really cool! I was surprised by how high-ranking Illinois was in the states graph, but I guess a lot of students are from Chicago. I also think the international one is particularly interesting, especially with the sharp increase of students from other countries in the last 20-30 years.
This graph does a really good job of showing how the number of international students has shot up in recent years. It also shows just how dominant Minnesota is and has been for the past 50 years. I really like your choice of the racing bar graph, it is a very fun.
This data visualization is quite amazing. I truly like the variety of colors you selected to represent the many states and countries. It’s also fascinating to watch how the various states fluctuate over time. We also utilized OpenRefine, to add to this.
These are all really interesting. You really milked the data for all it was worth! I think it could be really interesting if you combined your data with the group looking at diversity and tuition at Carleton to deepen their research. The information about about where people are applying and potentially getting denied is perhaps the most applicable part.
I think this is a great visualization for your data; the moving aspect is really good for engaging viewers in the trends over a period of time, like in your enrollment data. I think it is interesting that there are states but also countries, but I think that makes sense based on the nature of the data.
You guys did a really good job creating intuitive data visualizations with your project. I thought you used a very thoughtful color gradient as it made it visually pleasing to view. I also really liked how the scale of the graph and color gradient came together to give the viewer an accurate understanding of the scale of various student sizes. Overall I was impressed with this project.