[英]Changing Values to Columns and Summarize Rows
I've got this dataframe:我有这个数据框:
# A tibble: 6 x 3
# Groups: Entity [3]
Entity year count
<chr> <dbl> <int>
1 3D SYSTEMS CORP 2019 23
2 3D SYSTEMS CORP 2020 2
3 8X8 INC 2019 74
4 8X8 INC 2020 43
5 AAR CORP 2019 52
6 AAR CORP 2020 18
I want to have the years 2019/2020 as columns and the count as values for the year and entity.我希望将 2019/2020 年作为列,将计数作为年份和实体的值。 And I want to summarize the duplicate entities.我想总结一下重复的实体。 The Output should look like this:输出应如下所示:
# A tibble: 6 x 3
# Groups: Entity [3]
Entity 2019 2020
<chr> <dbl> <int>
1 3D SYSTEMS CORP 23 2
2 8X8 INC 74 43
3 AAR CORP 52 18
You can do a pivot wider, as @akrun mentioned, like this:正如@akrun 提到的,你可以做一个更广泛的支点,像这样:
library(tidyverse)
Entity <- c("3D SYSTEMS CORP","3D SYSTEMS CORP",
"8X8 INC","8X8 INC",
"AAR CORP","AAR CORP")
year <- c(2019, 2020,
2019, 2020,
2019, 2020)
count <- c(23, 2,
74, 43,
52, 18)
tbl<- as_tibble(data.frame(Entity,
year,
count = as.integer(count)
)
)
tbl_wide <-
tbl %>%
pivot_wider(names_from = "year", values_from = "count")
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