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Joining Data with dplyr

Beginner
4.0+
46 reviews
Updated 12/2024
Learn to combine data across multiple tables to answer more complex questions with dplyr.
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RData Manipulation4 hours13 videos49 exercises4,200 XP69,844Statement of Accomplishment

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Course Description

Often in data science, you'll encounter fascinating data that is spread across multiple tables. This course will teach you the skills you'll need to join multiple tables together to analyze them in combination. You'll practice your skills using a fun dataset about LEGOs from the Rebrickable website. The dataset contains information about the sets, parts, themes, and colors of LEGOs, but is spread across many tables. You'll work with the data throughout the course as you learn a total of six different joins! You'll learn four mutating joins: inner join, left join, right join, and full join, and two filtering joins: semi join and anti join. In the final chapter, you'll apply your new skills to Stack Overflow data, containing each of the almost 300,000 Stack Oveflow questions that are tagged with R, including information about their answers, the date they were asked, and their score. Get ready to take your dplyr skills to the next level!

Prerequisites

Data Manipulation with dplyr
1

Joining Tables

Start Chapter
2

Left and Right Joins

Start Chapter
3

Full, Semi, and Anti Joins

Start Chapter
4

Case Study: Joins on Stack Overflow Data

Start Chapter
Joining Data with dplyr
Course
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Don’t just take our word for it

*4.0
from 46 reviews
59%
15%
7%
11%
9%
  • Daniel N.
    3 months

    Dplyr makes it exciting joining data

  • STANISLAV S.
    4 months

    Hi, among my courses, which I have finished, it was the hardest and I think I will return on it in the future.

  • Diana N.
    4 months

    I had an excellent experience learning about the joining functions within the dplyr package and applying this knowledge to Lego datasets. The explanations were clear and the practical exercises were highly beneficial, as is consistently the case with Datacamp. I highly recommend this course to anyone seeking to deepen their understanding of dplyr and R.

  • Kenny O.
    5 months

    This is a challenging chapter but very useful

  • Susana S.
    9 months

    The lesson is very well designer. I found that some of the exercise questions were not clear; both the questions as well as the hint suggestions. Some times there is only um ) or something missing and the hint dies not help to solve that problem . You could add a standard suggestion to review the signaling.

"Dplyr makes it exciting joining data"

Daniel N.

"Hi, among my courses, which I have finished, it was the hardest and I think I will return on it in the future."

STANISLAV S.

"This is a challenging chapter but very useful"

Kenny O.

Join over 15 million learners and start Joining Data with dplyr today!

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