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R Language in Data Science
Key R Libraries for Data Science
dplyr: A grammar of data manipulation, providing a consistent set of verbs to solve common data manipulation challenges.
ggplot2: A data visualization package that allows for the creation of complex plots from data in a data frame.
tidyr: Helps to clean your data by providing functions to change the layout of data frames.
caret: A package for creating predictive models.
Basic R Operations
Reading Data: Importing data from CSV files and other sources.
Data Manipulation:Cleaning and transforming data using dplyr and tidyr.
Data Visualization:Creating plots using ggplot2.
Statistical Analysis: Performing statistical tests and building models.
Example
Activity
Quiz
1. What is R primarily used for?
- a) Data visualization
- b) Web development
- c) Game design
- d) Data science and statistical computing
2. True or False: R is a proprietary language.
- a) True
- b) False
3. Which package in R is used for data manipulation?
- a) ggplot2
- b) dplyr
- c) shiny
- d) knitr
4. What is the function used to read a CSV file in R?
- a) read_csv()
- b) load_csv()
- c) import_csv()
- d) get_csv()
5. Which R package is used for data visualization?
- a) dplyr
- b) ggplot2
- c) tidyr
- d) stringr
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