I saw this on /r/dataisbeautiful – I like the way it shows a range of values, in “lanes” corresponding to a month.The data is aggregated over 66 years, but still shows patterns, extremes, and norms. via https://www.reddit.com/r/dataisbeautiful/comments/71r4gj/max_daily_temperatures_in_mountain_view_ca/
https://imgur.com/gallery/CWIar I always thought the digits of pi are completely random and doesn’t have any underlying pattern. But this image blew my mind by showing how organized the numbers really are.
Playing with tools from stage direction to visualize groups of people and spatial arrangement.
(https://farm1.staticflickr.com/629/22479284193_d7f3d73e3c_o.jpg) The mobius strip is an example of a non-orientable surface, as it is composed of a single side when embedded in 3D space. In other words, it is impossible to know where it begins and where it ends, which… Continue Reading →
https://twitter.com/dynarski/status/737993058445369344 I kind of like the idea of comparing teacher and student relationship with riding a bicycle where teacher pedaling and student sitting back and following. For some may be a roller coaster ride would be more appropriate :p
Duolingo telling me about the loss of my 84 day streak. I liked it better when that flame was orange! Although the grey effectively tells me I screwed up.
A very accurate visualization of my childhood learning… Bill! Bill! Bill! Bill! (Taken from a post someone shared on Facebook)
Looking at how architecture treats maps. I like the design of the grey map with the highlight.
First, hesitant sketch of the data. I picked a subset to start – classes on mondays during f2017 – and explored with an aggregate timeline.
https://www.wired.com/2008/06/pb-visualizing/ Thousands of Wikipedia edits done by a single software bot where each color represents a different page. Although I don’t understand how this visualization will help me solving any problem or understanding any deep insight about those edits.
I like this visualization, as it compares and contrasts a single persons coffee consumption with their countries. In addition, I find it interesting that it presents facts the creator has deemed relative alongside the personal visualization (such as average cost)
MapBox has released a (new?) type of map that integrates time to destination as a visual overlay. As they describe their thought processes on this blog post (https://blog.mapbox.com/a-new-kind-of-map-its-about-time-7bd9f7916f7f), they sought to create a map that more reflects how people communicate… Continue Reading →
My friend posted this on Facebook, for a moment I thought he is standing in front of an artwork of an analog signal. It’s like a visual illusion.
(http://www.stat.ufl.edu/~aa/cda/data.html) Found this dataset while looking for a dataset to use in my project. It reminds me that even if this was created into a great visualization, the data that supports it would be absolutely worthless and bias.
September 15, 2017 Colour wheel of social media related companies. Felt this was an easy to digest visualization for several differing types of social media platforms.
This is part of a personal interactive visualization Garmin creates with run data. The time, pace, GPS coordinates, elevation, pace, heart rate, stride length, run cadence, vertical ratio, ground contact time, and temperature are all automatically used to create visualization… Continue Reading →
(Different map projections – https://en.wikipedia.org/wiki/Map_projection#Projections_by_surface) Cartography is actually a harder field than it appears. Even though they do not appear to be so, every 2D world map is distorted in different ways. There are several different projection based techniques that can… Continue Reading →
(Bellos, A. and Harriss, E.Visions of the Universe: A Coloring Journey Through Math’s Great Mysteries. Experiment LLC, 2016 Source) A beautiful representation of the Collatz conjecture. If you pick a random integer n, then recursively perform the following function on n,… Continue Reading →
This online tool provide facilitate colour selection in particular for maps. Also, the main advantage is that it is capable to suggest appropriate colours selection for colour blind people http://colorbrewer2.org/#type=qualitative&scheme=Dark2&n=3
From the New York Times – damage to individual buildings from hurricanes on St. Martin / Sint Maarten. I’d be curious to see population density as well.
I think crochet patterns can be categorized similarly to how we categorized maps: representing objects spacially, but still in the realm of visual abstraction. This pattern shows the how the individual stitches are constructed in a shawl.
(https://design.tutsplus.com/articles/how-to-draw-animals-cats-and-their-anatomy–vector-17417) Steps to drawing a cat, starting from bone structure to muscles to actual cat. Understanding is an extremely individual thing – I know friends who are much better at drawing animals using the steps shown above. For me, I… Continue Reading →
(https://upload.wikimedia.org/wikipedia/en/a/a8/The_Dress_%28viral_phenomenon%29.png) This dress was an internet phenomenon a couple years ago. The idea that so many people had so many conflicting opinions about the simple colours of a dress makes me think that data visualization is the same way –… Continue Reading →
(https://i.redditmedia.com/2i71XsHDQsQI6WwwBdZHNRhcSw03JvDNpUchVEil_xM.png?w=1024&s=3ac70f916c0b5aa47379db7d23296d9e) The results of Google searches leading up to a solar eclipse, and then the immediate after-effects of it with the search “my eyes hurt” from New York. While this graph shows some interesting results, it makes me wonder if… Continue Reading →
Quite an interesting idea to convert a page into bubbles based on the frequency of the word used. One can easily get an idea about the content of a page.
(http://innovatethinking.com/2011/12/creative-ads-91/) It’s always cool to see an advertisement with a double entendre – it definitely helps to guide the viewer to infer the actual message of the ad.
(https://deterritorialinvestigations.files.wordpress.com/2013/11/ekphrasis_network_grouped_topic4.jpg) This relationship map is beyond extreme. I honestly gave up on reading it about 5 seconds in. Too much information is clustered in a small amount of space.
(https://pbs.twimg.com/media/CZr6VMXXEAA2K0Z.jpg) This graph just made me laugh. Its always annoying when you’re trying to interpret a badly made graph of a confusing data set, which was perfectly represented here. The colors are dizzying and the axis values are beyond vague…. Continue Reading →
(Fig 1 – Healey, Christopher G. “Perception in Vizualization.” Perception in Visualization, -, 0ADAD, www.csc2.ncsu.edu/faculty/healey/PP/. ) Preattemptive processing occurs when the viewer’s attention is directed almost automatically to a specific deviation in a data set. Notice how your eyes are rapidly… Continue Reading →
My frequently used emojis as a visualization of the emotions I express over text message. I wonder how this will change as the stress of the school year inevitably grows.
[Swaminathan et al. 2014] This illustrates the construction process Doug McCune went through to create a 3D heat map which shows the quality of elementary schools in San Franciso. This was a case study presented in the “Creating Physical Visualization with MakerVis”… Continue Reading →
I got this after getting some blood work done. 2 samples do not make a very useful line graph.
https://www.analyticsvidhya.com/blog/2015/05/data-visualization-resource/ I was searching for different articles regarding different data visualization tools used in sports and I came across an article where they talk about how heat maps can be used to identify where most goals are coming from and… Continue Reading →
census data on “high earners” by province. Globe and Mail made a chart of raw numbers, but it’s misleading without the “what proportion of the population is that?” per-thousand-residents calculation… Update: I made a quick version using Les’ calculations:
September 13 I created a crossword puzzle using the Reddit posts as the descriptions, and their respective subreddits as the answers.
Students “vote with their feet” during a session in the TI. human-scale visualization of… what?