Data Manipulation with Dplyr

Learn essential data manipulation techniques using the dplyr package in R through this comprehensive one-hour tutorial. Master efficient data analysis skills by exploring dplyr's powerful functions for munging, filtering, and aggregating data. Follow along as the instructor demonstrates practical applications using a Kaggle wine ratings dataset. Discover how to launch RStudio, install necessary packages, and perform operations like excluding, adding, and filtering data. Explore aggregation functions, character value manipulation, and various join types. Gain hands-on experience with plotting, creating box plots, and working with top datasets. Dive into advanced topics such as intersect operations, random functions, and the mutate function. By the end of this tutorial, acquire the foundational skills needed to streamline your data analysis process and become a more proficient data scientist.

Introduction
goal
walk through
aggregation functions
Data set overview
Launching Studio
Installing Packages
Exclude
Addiplier
Aggregation
Character Values
Filter
DataFrame
Plotting
Line of Code
Box Plot
Top Data
Intersect
SetDef
Variety
Top 15
Random Functions
Mutate Function
Data Frames
New Wine
Full Join
Inner Join
Left Join