Download R For Data Science free in PDF. In this Notes you learn how to use R to turn raw data into insight, knowledge and understanding. This notes is very useful, It introduce R, RStudio, and the tidyverse, a collection of R packages design to work together to make data science fast, fluent and fun. It is suitable for readers.
You Learn These Topic From This Notes:
1. Data virtualization with ggplot2
- Introduction
- First Steps
- Common Problems
- Facets
2. Workflow: Basics
- Coding Basics
- Calling Function
3. Data Transformation with dplyr
- Introduction
- Filter Rows With filter()
- Arrange Rows With arrange()
- Add New Variable With mutate()
4. Workflow: Scripts
- Running Codes
- RStudio Diagnostics
5. Exploratory Data Analysis
- Questions
- Verification
- Missing Values
- Patterns and Models
6. Workflow: Projects
- What is Real?
- Paths and Directories
- RStudio Projects
7. Tibbles With Tibble
- Creating Tibbles
- Tibbles Versus Data. Frame
- Interacting With older Code
8. Data Import With Readr
- Getting Started
- Parsing a Vector
- Parsing a File
- Writing To a File
9. Tidy Data With Tidyr
- Tidy data
- Spreading and Gathering
- Separating and Pull
- Missing Values
10. Relational Data With dplyr
- Mutating Joins
- Filtering Joins
- Join Problems
- Set Operations
11. String With Stringr
- String Basics
- Matching Patterns With Regular Expressions
- Tools
- Other Types of Patterns
12. Factor With Forcats
- Creating Factors
- General Social Survey
- Modifying Factor Order
- Modifying Factor Levels
13. Dates and Times With Lubridates
- Creating Date/Time
- Date-Time Components
- Time Spans
- Time Zones
14. Pipes With Magrittr
- Introduction
- Piping Alternatives
- Other Tools From magrittr
15. Functions
- Function Are For Human and Computers
- Conditional Execution
- Function Arguments
- Return Values
16. Vectors
- Vector Basics
- Important Types Of Atomic Vectors
- Using Atomic Vectors
- Attributes
17. Iteration With Purrr
- For Loop
- For Loop Variation
- For Loop Versus Functional
- The Map Functions
18. Model Basics With Modelr
- A simple Model
- Visualization Models
- Formulas and Model Families
- Missing Values
19. Model Building
- Why are Low Quality Diamonds More Expensive?
- What affect The Number Of Daily Flights?
- Learning More About Models
20. Many Models With Purrr and Broom
- Gapminder
- List- Columns
- Creating List-Columns
- Simplify List-Columns
21. R Markdown
- R Markdown Basics
- Text Formatting With Markdown
- Code Chunks
- Troubleshooting
- YAML Header
22. Graphics For Communication With ggplot2
- Label
- Annotations
- Scales
- Zooming
23. R Markdown Formats
- Output Options
- Documents
- Notebooks
- Presentations
24. R Markdown Workflow
