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df_customer <- read.csv(“df_customer.csv”) head(df_customer)
length(unique(df_customer$ID_Pelanggan))
sort(table(df_customer$ID_Pelanggan), decreasing = TRUE)[1:3]
aggregate(Penghasilan ~ Jenis_Kelamin, data = df_customer, mean)
aggregate(Total_Belanja ~ Jenis_Kelamin, data = df_customer, mean)
aggregate(Penghasilan ~ Tempat_Tinggal, data = df_customer, mean)
aggregate(Total_Belanja ~ Tempat_Tinggal, data = df_customer, mean)
df_customer[order(-df_customer$Total_Belanja), c(“ID_Pelanggan”, “Total_Belanja”)] |> head(5)
table(df_customer$Jenis_Kelamin)
df_customer\(Kategori_Penghasilan <- cut(df_customer\)Penghasilan, breaks = c(-Inf, 5000000, 10000000, Inf), labels = c(“Rendah”, “Menengah”, “Tinggi”)) table(df_customer$Kategori_Penghasilan)
df_customer[df_customer$Total_Belanja > 5000000, c(“ID_Pelanggan”, “Total_Belanja”)]
unique(df_customer$ID_Pelanggan)