Seoul Selfie
| CODE: |
GitHub |
| DATATYPE: |
images |
| SOURCE: |
Instagram |
| PLACE: |
Seoul |
| YEARS: |
2014-2015 |
| SIZE: |
10,000,000 slices |
| VIZTYPE: |
flat slice histogram |
| FEATURES: |
hue, brightness |
| FEAT SRC: |
scikit-image |
| MORE INFO: |
Software Studies Blog |
This is a "flat slice histogram", a slice histogram where each bin is forced to a fixed height. Normally, histogram bins are fixed "width", meaning they cover the same range of the distribution variable. Here, the bins are fixed height, and thus the variable ranges they cover are unknown (without additional markings on the plot, which is of course a possible modification here). Note that the flat histogram would be perfectly useless for traditional statistical plotting, but since we are making image histograms, they can reveal a lot. The left-to-right visual patterns do still map roughly to the distribution variable. Here, hue is the distribution variable, and we sort vertically by brightness (a couple times). We can see quite clearly that in this dataset, blues and reds tend to be darker than the greens and yellows.