Description:
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.
Data Manipulation with Dplyr
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#Data Science
#Data Manipulation
#Data Analysis
#Data Visualization
#Programming
#Domain-Specific Languages (DSL)
#R Programming
#dplyr
#SQL
#JOIN Operations