add v0.4 release januari 2023

gsverhoeven · Apr 15, 2023 · b234079 · b234079
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diff --git a/CHANGELOG b/CHANGELOG
@@ -1,4 +1,9 @@
-# current fumbbl datasets
+# v0.4 fumbbl datasets
+
+Uses raw datafiles scraped around januari 2023.
+Added the ability to create full tournament rosters including skills and inducements.
+
+# v0.3 fumbbl datasets
 
 Uses raw datafiles scraped around march 16th 2022.
 Updated fumbbl_dataset notebook to add more columns etc.

diff --git a/README.md b/README.md
@@ -13,12 +13,12 @@ See https://gsverhoeven.github.io/post/blood-bowl-fumbbl-dataset/ for a data pap
 
 The folder `analysis/` contains Rmarkdown and Jupyter notebooks with additional analyses.
 
-Two examples:
+Two example plots using data from the current release:
 
 ## BB2020 matches by race by week
 
-![](match_volumes_by_race.png)
+![](datasets/v0.4/match_volumes_by_race.png)
 
 ## Top 10 star player usage by week
 
-![](star_players_by_week.png)
+![](datasets/v0.4/star_players_by_week.png)
diff --git a/analysis/BB2020 weekly match volumes by race.py b/analysis/BB2020 weekly match volumes by race.py
@@ -55,7 +55,7 @@
 
 resx = pd.concat([res, res2], axis = 0)
 
-my_plot = (p9.ggplot(data = resx.query("week_date < '2022-06-01'"), mapping = p9.aes(x = 'week_date', y = 'n_games', 
+my_plot = (p9.ggplot(data = resx.query("week_date < '2023-02-01'"), mapping = p9.aes(x = 'week_date', y = 'n_games', 
 group = 'factor(race_name)', color = 'factor(race_name)'))
     + p9.geom_point() 
     + p9.geom_line() 

diff --git a/datasets/v0.4/match_volumes_by_race.png b/datasets/v0.4/match_volumes_by_race.png
diff --git a/datasets/v0.4/star_players_by_week.png b/datasets/v0.4/star_players_by_week.png
diff --git a/datasets/v0.4/tournament_rosters.zip b/datasets/v0.4/tournament_rosters.zip
diff --git a/datasets/v0.4/v0.4_fumbbl_data_csv.zip b/datasets/v0.4/v0.4_fumbbl_data_csv.zip
diff --git a/datasets/v0.4/v0.4_fumbbl_data_h5.zip b/datasets/v0.4/v0.4_fumbbl_data_h5.zip