You can group by more than one variable. For example, let's build another dataframe listing the average delay time in minutes, by quarter, by weekend/weekday ... ... <看更多>

We can do a double grouping library(dplyr) df %>% group_by(vote) %>% summarise(val=sum(val)) %>% group_by(vote = replace(vote, val <2, ... ... <看更多>

I am learning basics of {dplyr} package in R and working with summarize() function. When I create groups using group_by() function, ... ... <看更多>

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The dplyr package in R makes data wrangling significantly easier. ... 'string'] df.groupby('group').filter(lambda x: sum(x['var']) > 2000000) ... ... <看更多>