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hkrstovi4/21/2026, 2:15:20 AM
Love the website. The visual design is clean and polished, and the color choices give the whole site a really cohesive and appealing look.
The standout feature is definitely the guessing game in the "Most Ordered Food" section, where you predict the top 10 most ordered delivery categories before seeing the real ranking. It's a really clever and creative idea that gets the user genuinely invested in the data. One small suggestion would be to show a bit of context or commentary after the user makes their prediction, just so the reveal feels more complete and the user walks away having learned something. It's such a great concept that it deserves a strong payoff!
One other area that could be developed a little further is adding some guiding context to each section. The visualizations themselves are interesting and cover a wide range of topics from ordering patterns to cuisine preferences across Canada to platform sentiment, and a little bit of introductory text in each section would really help the audience understand what they're looking at and why it's meaningful. It doesn't have to be much, just enough to set the scene.
Overall this is a really promising project with a strong visual identity and some genuinely creative ideas.
Alexander Krstović
Group 1
apa974/21/2026, 2:35:17 AM
For the user, the website was very fun and engaging to go through. It wasn’t the usual static charts, but you could interact, predicting answers, comparing habits, etc. I enjoy food, so it was a great way to show the kind of food delivery patterns to users without them just reading and analyzing visualizations.
From a student's perspective, you guys did a good job of turning all the messy real-world data. You had many datasets, but were able to show their connection to each other. You used different visualization chart types, and the interactive parts were a strong choice. For any areas to improve maybe add some insights after the interaction with the visualizations and have a conclusion to wrap all the data together.
ricow4/21/2026, 4:25:29 AM
Overall, I think the site looks clean and aesthetically pleasing. I think the color scheme could be a little better contrast. It is a bit difficult to see the different shade of orange for the first graph and also the graph looked a bit confusing at first what it was trying to show. Like another comment said I think it would help to have an intro sentence.
The visualization does look unique and has consistent style which helps the viewer stay engaged with the data you guys are showing.
The reflection section is also thoughtful and gave good insight on the challenges you guys faced.
ajk84/21/2026, 6:18:57 AM
The website looks really clean and visually polished. The color scheme gives the whole website a clear identity. The guessing game was a nice idea that allowed me to engage with the data before revealing it.
The text could be shortened, or the font size could be improved to increase readability in the more text-heavy sections. The guessing game could also benefit from some more context after the data is revealed. The colours used in the visualisations could benefit from some contrast due to the shades of orange blending in with each other.
las214/21/2026, 7:17:52 AM
From a user perspective, this project is effective in making food ordering data engaging and easy to understand. The interactive “guess the ranking” feature encourages participation and helps maintain attention throughout the experience. The structure of the site provides a clear progression through different aspects of the data, and the interface is intuitive, making it easy to navigate without additional instruction.
From a course perspective, the project demonstrates strong use of belief elicitation, hybrid narrative structure, and a high data-ink ratio, which keeps the focus on key insights. However, it could improve in communicating uncertainty in rating data to avoid overly deterministic interpretations. Perceptual efficiency could be strengthened by improving visual differentiation between categories, and semantic congruence in colour and icon choices could better support pre-attentive processing.
sra1344/21/2026, 5:46:10 PM
From a user perspective, this project is engaging, intuitive, and easy to navigate, successfully presenting food ordering trends across platforms in a way that feels fun rather than static. The rationale, problem framing, and stakeholders are clearly established, and the dataset breakdown provides strong context. Interactive elements like the heatmap, map with tooltips, filterable stacked bar charts, and especially the “guess the most ordered food” feature make the experience memorable and enjoyable, while the clean, cohesive design keeps everything easy to follow. From a student perspective, the project demonstrates strong use of interaction, clear narrative structure, and effective handling of complex datasets, with a good variety of visualization types and consistent design language. Areas for improvement could include improving colour contrast for better perceptual distinction, and strengthening interactions (like the guessing feature) with follow-up insights or a clearer concluding section to tie everything together.
hca1714/21/2026, 6:59:31 PM
This project conveys an interesting topic and its cool relevant visualizations. Listing out dataset sources on a different page helps users who want to know more about the bare dataset. Overall, the user flow is simple and easy to follow. Couple of graphs where we can interact with the graph and scoring our estimation were so unique and really bumped up the engagement with users.
Lastly, I noticed that there's "undefined" in your tooltip of the very last visualization.
gfc24/21/2026, 8:05:02 PM
I really enjoyed the interactivity of the website and how it almost feels “personalized” to the user as most people have experience ordering delivery before.
I enjoyed that the group decided to give users the agency to interact with the visualizations as it was a creative way to make it more engaging instead of just putting numbers up for them to look at. The structure of the content made sense as it was well organized and easy to navigate through. There was also lots of interesting data to sift through and explore. The heat map visualization was a little difficult to take in at first glance since the highlighting method picked was black strokes around each individual box. I would suggest using a different highlighting method (i.e. using one big box around the section instead of individual and picking a different colour or annotating the boxes). The map visualization had interesting data, however putting the numbers in a text list made it hard to fully visualize and understand it. Lastly, the final sentiment chart might be broken(?) I’m not too sure what’s being compared here as the Y-axis shows a -100% and on hover it says undefined.
Overall, I liked the concept and the 8-bit sticker designs were cute!
fja194/21/2026, 8:12:32 PM
Website is very interactive which is great for keeping the user engaged. Design is nice and UI is clean. The charts are very engaging and well designed and use of colors is intuitive. There is a good story and narrative to the visuals which guide the user to understanding the "why" behind the data. Great reflection. Well done!
ila264/21/2026, 11:19:02 PM
Super clean visual design very easy to read with high contrast. I especially like the submit a guess interaction for each visualization, it makes it super engaging.
I think the visulizaiotns can benefit from imporved clarity, such as legends to help explain the diffrence of colour values esepcailly for the " How Are We Rating Our Experience?" graph. Additionally, for the " When do you order?" once the user submits its a bit confusing on what the most popular time is. As upon first look whatever is hihglight with the black border box makes it looklike the peak time.
sla4804/22/2026, 12:26:28 AM
The landing is really cute! The illustrations create a welcoming and engaging first impression. The overall design is nicely done, but what really stands out are the interactions throughout the site. They make the experience much more engaging and help users better connect with and understand your topic better. One suggestion would be to add key insights after each visualization so users can more easily grasp what they’re looking at.
Strengths
(1) The interactive elements are a strong highlight and make the project feel really engaging
(2) The “most ordered food” visualization stands out, especially with its animation!!
(3) The overall visual design, including illustrations and layout, is consistent and clean
Areas for Improvement
(1) Consider adding data on which delivery app is most used in North America, as this could add an interesting layer to your story
(2) Adding a conclusion or key takeaway section would help reinforce the main insights of the project.
(3) Including short key insight text after each visualization would improve clarity and understanding.
-Team Spike Hockey League
ema964/22/2026, 12:41:21 AM
The interactivity is a real strength here. Almost every section gives the user something to do beyond just reading, which keeps the experience engaging from start to finish. The guessing game in the Most Ordered Food section stood out in particular. Asking users to predict the ranking before revealing it is a clever way to get people genuinely invested in the data rather than passively scrolling past it.
The final sentiment visualization was the one section I struggled with. It was not immediately clear what was being compared or what the chart was showing, and the tooltip displaying "undefined" on hover made it harder to interpret. Adding a short intro sentence and fixing the tooltip would go a long way in making that section as clear as the rest of the site.
corinac4/22/2026, 1:40:29 AM
I think this project is fun to explore the food delivery. The storytelling flow naturally from the overall view to break down into categories and geographic, making it easy to stay engaged throughout.
The delivery icon used an annotation at the peak is interesting and catch people's eye in a line chart. The guessing section is a great engagement technique to ask people predict before revealing the real ranking. The heat map for order time is great through colour encoding. It makes pattern across hours and the highlight helps user understand it.
Improvement: The line chart with clustered point on the left of the line is a little messy. It could just highlight some point. The number label on the top 10 ordered food is unclear. The colour use in the rating experience is unclear at a glance , it could add a legend or annotation.
tsn14/22/2026, 2:48:07 AM
The website is very clean and polished. I really like the guessing game for each visualization, it really makes the experience more engaging and unique compared to other projects. The graph choice highlights the data and the story being told except for the most ordered food section, which I think can be replaced with a bar graph for visualizing the data instead of just showing the numbers. The graphs also have very clean and minimal design, which makes them legible and easy to understand the data they are showing.
One thing that can be added to make this project better is an in-depth analysis for each graph. Even a brief one is okay since the graph technically conveys most of the information already. Instead, the analysis can be about why is the data shown matters and how does it relate to the goal or the research question you are trying to answer. Another minor thing is that for the first graph, it would be nicer if you can change your guess before revealing the answer.
- Team Rush Hour
tja414/22/2026, 3:37:03 AM
Very clean visual design. Very minimalistic while still having all the crucial information.
I loved the interactive guesses before actually seeing the visualization. It creates such a fun experience for the user. For the first visualization though, I feel like being able to change your guess before submitting would be a great option.
I had accidentally clicked the screen before understanding what it was, and wasn't able to change my placement. But other than that, I love the interactivity features.
Great website, great visuals, love it!
team lebron
dla2244/22/2026, 6:28:28 AM
The website is very visually appealing from a user’s perspective. The use of emoticons and images adds personality, and the overall layout feels clean, organized, and easy to navigate. The interactive elements, especially the guessing feature before revealing the data, make the experience more engaging and enjoyable.
A key strength is the level of interactivity across the visualizations. Each one feels slightly different, but they all animate smoothly and in a consistent way. It’s also very clear how to interact with each element, and the feedback provided, like showing selections (for example, “1/5 selected”), is a nice touch that helps guide the user.
One area for improvement would be adding more context to the graphs so users can better understand what they are looking at right away. Including a short takeaway or insight section after each visualization could also strengthen the experience. Overall, adding a bit more supporting text would help, but the project is already very strong, interactive, and enjoyable to use.
mxs4/22/2026, 6:29:07 AM
Amazing visual design and topic! It’s clear that its both data-rich and easy to follow narratively. I was genuinely satisfied with the site experience since it's highly interactive and engaging.
Strengths: (1) impressive animations, (2) clever ways for users to explore the data, (3) the use of size and color to encode data is effective.
Improvements: (1) the "Deliver Across Canada" section needs a clearer interaction cue, (2) some visualizations, like the user input in "When do you order," could benefit from making the color/line context more salient, (3) working on responsiveness is important, as some visuals get squished and hard to read when the window is resized.
dca1304/22/2026, 6:44:49 AM
As a user, the topic is super relatable, pretty much everyone has used DoorDash or Uber Eats at some point so it immediately feels relevant. The section about guessing the top 10 most ordered food categories before revealing the answer was a fun interaction, similar to what the Canucks project did and it works well here too.
Strengths:
- The topic is highly relatable and the structure covers a nice range of angles, from when people order to what they order to how they feel about it
- I liked that they pulled from multiple datasets rather than relying on one, combining Google Trends, DoorDash order data, and sentiment analysis gives the story more depth
- The "guess the top 10" interaction was a highlight, it's a simple but effective way to get the user engaged before showing the real data
Improvements:
- The homepage felt more like a table of contents than an actual introduction, I would have liked a stronger hook or opening statement that tells me why this data story matters
- The sentiment analysis section using VADER and AFINN scores sounds interesting but those methods likely needed a bit more explanation for a general audience, not everyone knows what those are
- The Canadian cuisine map and the US-based datasets felt a bit inconsistent with each other, mixing data from different regions without clearly acknowledging that could lead to some misleading comparisons
Overall a solid and relatable project with good data variety, just needed a stronger narrative thread to tie all the sections together.