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| author | ArghKevin <50538286+ArghKevin@users.noreply.github.com> | 2024-04-24 12:58:50 -0700 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2024-04-24 12:58:50 -0700 |
| commit | c6d89202db892ecbefab4a18700b073ad0cb6f14 (patch) | |
| tree | 5b3299c7f135fecabf5a848d80798551bdbb6187 /README.md | |
| parent | d4bbc169fe04a70091ed08145062f33bf17b4019 (diff) | |
Update README.md
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 9 |
1 files changed, 9 insertions, 0 deletions
@@ -14,6 +14,15 @@ We'd like to graph which styles typefaces are trending in popularity. This way, Google Fonts provides two databases publicly. https://raw.githubusercontent.com/google/fonts/main/tags/all/families.csv provides a listing of each typeface's name; style; and weight. https://fonts.google.com/metadata/stats provides popularity statistics of each typeface, over different metrics of time. Together, these may be used to generate a graphical interface demonstrating what correlation, if any, lies between a typeface's technical qualities and actual popularity. The typefaces are downloadable from a central repository, https://github.com/google/fonts. Using the files included, lower-level properties, such as glyph count and file size, may be analyzed. +#### Mockup + + +#### CRC +, + +### UML + + ### The Plan #### Week 1 |