R Pivot Tables Guide: Reshape Data with dplyr

1 year ago
Sophia Anderson
1 minute

In R language, you can use functions in the dplyr package to perform data pivoting and reshaping operations. Here is an example code:

# 加载dplyr包
library(dplyr)

# 创建一个示例数据框
df <- data.frame(
  ID = c(1, 1, 2, 2),
  Category = c("A", "B", "A", "B"),
  Value = c(10, 20, 30, 40)
)

# 对数据进行透视表操作
pivot_table <- df %>%
  group_by(ID) %>%
  summarize(
    A = sum(Value[Category == "A"]),
    B = sum(Value[Category == "B"])
  )

# 打印透视表
print(pivot_table)

# 对数据进行重塑操作
reshaped_df <- df %>%
  spread(key = Category, value = Value)

# 打印重塑后的数据框
print(reshaped_df)

In the example above, the data is first transformed using the group_by and summarize functions from the dplyr package for creating a pivot table, and then reshaped using the spread function. These functions make it easy to pivot and reshape data.

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