Question: Answer the following questions from the betweenthepipes intro tutorial: Exploring Our Data https://github.com/meghall06/betweenthepipes Exploring Our Data count(hockey_data, game_id) is equivalent to Answer %>% count( Answer)
Answer the following questions from the betweenthepipes intro tutorial: Exploring Our Data
https://github.com/meghall06/betweenthepipes
Exploring Our Data
count(hockey_data, game_id) is equivalent to
Answer %>% count( Answer)
Game_id 2019020384 has Answer events
How many event_type have GOALs in them? Answer
Run the following code.
hockey_data %>% filter(event_type == "GOAL" | event_type == "SHOT") %>% group_by(event_team, game_id) %>% summarize(shots_on_goal = n()) %>% arrange(desc(shots_on_goal))
The highest number of shots on goal in a game is Answer by event_team Answer in game_id Answer.
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