Update README.md

README.md

@@ -121,7 +121,16 @@ Please see the 'uefa_euro2020_processing.py' file for detailed processing code a
 
 ### Supported Tasks
 The dataset preserves most of the supported tasks of the original source data. The new structure of the data also enables performing other tasks especially in terms of investigating the relationships between different level (individual player, team, match, match event, etc.) by composing and aggregating the original data. Some examples include:
-- Extract, Visualize, and analyze statistics for players, teams, referees, and other participants within and across matches.
+- Extract and visualize key statistics for players, teams, referees, and other participants within and across matches.
+- Investigate how key team statistics, such as shots on target and total distance covered, associate with the outcome of the match through EDA, regression analysis, feature importance analysis, or other methods.
+- Explore the potential associations between certain player statistics and relevant team statistics.
+- Analyze the change of tactics by a team over the tournament through its line up information and its team statistics.
+- Investigate how pre-match tallies, such as goal streak, clean sheet streak, whether the player is benched in the previous match, and whether the player will be suspended if booked, affect a players' performance in the next match.
+- Other data story-telling tasks about events during a match and across the tournament.
+- Decompose the nested variables or the broader data structure for user-specific purposes.
+
+### Languages
+- English
 
 ## Citation
 Mikhail Zhilkin @cervus (2021). "UEFA Euro 2020." Hosted by [data.world]. Available at: “https://data.world/cervus/uefa-euro-2020".