Illya Mowerman
February 15, 2018
Here are packages and data needed
library(tidyverse)
library(readxl)
parts <- read_excel("C:/Users/imowerma/Downloads/merging.xlsx",
sheet = "Parts")
products <- read_excel("C:/Users/imowerma/Downloads/merging.xlsx",
sheet = "Products")inner join matches on both sides
parts## # A tibble: 5 x 3
## PART PROD SUPPLIER
## <chr> <dbl> <chr>
## 1 WIRE 10.0 ACWF
## 2 OIL 160 WESTERN_CHEM
## 3 MAGNETS 10.0 BATEMAN
## 4 PLASTIC 30.0 PLASTIK_CORP
## 5 BLADES 205 ACE_STEEL
products## # A tibble: 4 x 3
## PROD PRODUCT PRICE
## <dbl> <chr> <dbl>
## 1 505 SCREWDRIVER 3.70
## 2 30.0 RELAY 7.55
## 3 205 SAW 18.9
## 4 10.0 GENERATOR 45.8
inner <- inner_join(parts , products)## Joining, by = "PROD"
inner## # A tibble: 4 x 5
## PART PROD SUPPLIER PRODUCT PRICE
## <chr> <dbl> <chr> <chr> <dbl>
## 1 WIRE 10.0 ACWF GENERATOR 45.8
## 2 MAGNETS 10.0 BATEMAN GENERATOR 45.8
## 3 PLASTIC 30.0 PLASTIK_CORP RELAY 7.55
## 4 BLADES 205 ACE_STEEL SAW 18.9