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There are times when you have to join data sets together. This is typically done one of two ways.
There are times when you have to join data sets together. This is typically done one of two ways.
The first way is to merge data by adding columns. This is usually doing by matching or joining on a specific variable that is common in both data sets. This "key" variable is often a variable that uniquely identified each row.
The first way is to merge data by adding columns. This is usually doing by matching or joining on a specific variable that is common in both data sets. This "key" variable is often a variable that uniquely identified each row.
The second way is to add rows to a data set. This is typically done between data sets that have the same columns (usually with the same columns names). Because you are adding rows to the data set, there is not a unique "key" variable on which to match.
The second way is to add rows to a data set. This is typically done between data sets that have the same columns (usually with the same columns names). Because you are adding rows to the data set, there is not a unique "key" variable on which to match.
As with everything in R, there are multiple ways to accomplish this. The following will show you how to merge data frames using Base R and the dplyr package.
As with everything in R, there are multiple ways to accomplish this. The following will show you how to merge data frames using Base R and the dplyr package.
Adding Columns with Base R
Adding Columns with Base R
Gopal Prasad Malakar: How to Merge Data Sets (join) in R- (3:04)
Gopal Prasad Malakar: How to Merge Data Sets (join) in R- (3:04)
Merge two data frames by common columns or row names, or do other versions of database join operations.
Say you have two data files that have the same columns in them (for example, two months worth of data from a database), but you want to combine them into one object in R so you can more easily visualise differences or trends.
Has advanced features for when you want to bring in multiple variables that might not match across the different data frames.
Adding Columns with dplyr package
Adding Columns with dplyr package
IDG TECHtalk: How to merge in R (13:06)
IDG TECHtalk: How to merge in R (13:06)
See how to merge data in R three different ways: with base R’s merge function, dplyr’s family of join functions, and the data.table package.
- This tutorial will cover how to merge data frames using dplyr and covers Mutating joins and Filtering joins
- In this tutorial, you will learn how to use the dplyr library to manipulate a data frame.
Adding Rows
Adding Rows
DataDaft: How to Add a Row To a Data Frame in R (2:25)
DataDaft: How to Add a Row To a Data Frame in R (2:25)
Fuzzy Merge
Fuzzy Merge
Merges on character or string variables that do not have a perfect match on the key variable
Merges on character or string variables that do not have a perfect match on the key variable
- Join data frames on inexact matching
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