如何在R语言中合并两个CSV文件并匹配数据，将CSV2的episode review列按剧集名关联至CSV1

Got it, here's a straightforward, reliable way to combine your two CSV files so the episode reviews from CSV2 get correctly paired with the corresponding entries in CSV1:

Step 1: Load Required Libraries #

We’ll use dplyr (included in the tidyverse collection) for seamless data merging. Either library works, but tidyverse gives you extra handy tools for data wrangling:

# Load tidyverse (includes dplyr for merging functionality)
library(tidyverse)
# Alternatively, load just dplyr if you don't need other tidyverse tools:
# library(dplyr)

Step 2: Import Your CSV Files #

First, read both datasets into R as data frames:

# Read your main episode dataset (CSV1)
df1 <- read.csv('NewEpisodes.csv', header = TRUE)
# Read the dataset containing episode reviews (CSV2)
df2 <- read.csv('episodesReview.csv', header = TRUE)

Step 3: Merge the Data Frames #

Use left_join() to combine the two datasets. We match on both Episode.Name and Show.Name to avoid mismatches (critical if different shows share episode titles):

# Merge df1 with df2, keeping all rows from df1 and adding matching reviews
merged_episodes <- df1 %>% 
  left_join(df2, by = c("Episode.Name", "Show.Name"))

Quick Breakdown of the Merge: #

• left_join() ensures every entry from your original episode data (df1) is preserved in the final result.
• Reviews from df2 are only added where there’s an exact match on both the episode name and show name.
• If an episode in df1 has no corresponding review in df2, the review column will show NA (you can clean or fill these later if needed).

If you want to save the merged result back to a CSV file:

# Export merged data to a new CSV (exclude row numbers with row.names = FALSE)
write.csv(merged_episodes, 'MergedEpisodesWithReviews.csv', row.names = FALSE)

内容的提问来源于stack exchange，提问作者psmadness