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[Comparer deux dataframes avec R] Trouver les lignes manquants dans deux datasets en utilisant SQLDF #R #datascience #data #compare
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library(sqldf) | |
# Chargement de nos deux datasets | |
df_1 <- read.csv2('/Users/romain/Downloads/df_1.csv',sep=',') | |
df_2 <- read.csv2('/Users/romain/Desktop/df_2.csv',sep=',') | |
# On isole la colonne qu'on souhaite comparer | |
df_1 <- as.data.frame(df_1$col_name) | |
df_2 <- as.data.frame(df_2$col_name) | |
# Avec une notation SQL | |
df1NotIndf2 <- sqldf('SELECT * FROM df_1 EXCEPT SELECT * FROM df_2') | |
# En utilisant la notation %in% | |
df1NotIndf2 <- df_2[!df_2$email %in% df_1$email, ] | |
# En utilisant la fonction subset | |
subset(df_1,!(!df_2$email %in% df_1$email)) | |
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