Hi, so one Friday evening I had the amazing idea to analyze all changes in IFAET Airports database. 2 days, 43 GB and millions of analyzed files later I did it, so enjoy. If you have a question it didn’t answer, like how much runways there were in total for each release, I’ll be happy to answer them in a follow up post, but sadly not here, as running this analysis means leaving my notebook running for half an hour due to the sheer amount of data.
Table
Version | Total | Added | Changed | Deleted | Empty* |
---|---|---|---|---|---|
V1 | 1638 | 0 | 0 | 0 | 0 |
V2 | 1686 | 49 | 161 | 2 | 1 |
V3.0 | 1687 | 2 | 107 | 0 | 1 |
V3.1 | 34532 | 32859 | 741 | 18 | 7358 |
V4 | 34304 | 36 | 576 | 263 | 7325 |
V5 | 34311 | 16 | 192 | 8 | 7322 |
V6 | 34310 | 4 | 124 | 5 | 7321 |
V7 | 34310 | 1 | 85 | 1 | 7320 |
V8 | 34311 | 3 | 102 | 3 | 7317 |
V9 | 34298 | 423 | 110 | 420 | 7314 |
V10 | 34232 | 4 | 262 | 71 | 7302 |
V11 | 34217 | 20 | 223 | 37 | 7266 |
V12 | 34220 | 13 | 255 | 8 | 7249 |
V13 | 34219 | 3 | 115 | 4 | 7247 |
V14 | 34223 | 13 | 175 | 10 | 7239 |
V15 | 34216 | 1 | 134 | 8 | 7235 |
V16 | 34238 | 34 | 217 | 12 | 7211 |
V17 | 34237 | 3 | 203 | 3 | 7207 |
V18 | 34252 | 20 | 201 | 5 | 7196 |
V19 | 34248 | 5 | 136 | 9 | 7191 |
V20 | 34255 | 11 | 263 | 5 | 7188 |
V21 | 34251 | 20 | 222 | 22 | 7160 |
V22 | 34251 | 4 | 222 | 4 | 7156 |
V23 | 34254 | 6 | 200 | 3 | 7155 |
V24 | 34252 | 1 | 118 | 3 | 7153 |
V25 | 34246 | 7 | 126 | 13 | 7151 |
V26 | 34247 | 2 | 81 | 1 | 7147 |
V27 | 34246 | 14 | 273 | 15 | 7123 |
V28 | 34243 | 6 | 155 | 9 | 7106 |
V29 | 34233 | 18 | 139 | 30 | 7095 |
V30 | 34225 | 15 | 122 | 24 | 7073 |
V31 | 34228 | 17 | 156 | 14 | 7045 |
V32 | 34200 | 29 | 378 | 56 | 6999 |
V33 | 33759 | 91 | 760 | 535 | 6872 |
V34 | 33594 | 32 | 246 | 197 | 6814 |
V35 | 33594 | 32 | 246 | 197 | 6814 |
*Empty airport here is an airport without a runway, it’s folder is usually marked with [-] in the repo
The darker the color of a tile - the more changes were made in that version
Sources:
Releases from IFAET Github
Color palettes from coolors.co
Data analyzed using Swift
Data visualized using Sketch
Some graphs made with the help of Numbers for Mac and later beautified in Sketch