Udemy - R for Data Science- Learn Data Manipulation With R
| 文件类型 | 收录时间 | 最后活跃 | 资源热度 | 文件大小 | 文件数量 |
|---|---|---|---|---|---|
| 视频 | 2021-8-24 12:49 | 2024-6-1 05:48 | 141 | 2.33 GB | 32 |
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文件列表
- 1. Getting Started/1. What We Will Learn.mp425.26MB
- 10. Data Transformation in R/3. Filtering Rows with Filter Function.mp4198.06MB
- 10. Data Transformation in R/6. Grouped Summaries with Summarize Function.mp4178.85MB
- 10. Data Transformation in R/4. Arranging Rows with Arrange Function.mp4145.57MB
- 10. Data Transformation in R/1. Introduction to Data Transformation.mp487.99MB
- 10. Data Transformation in R/5. Adding New Variables with Mutate Function.mp474.55MB
- 10. Data Transformation in R/2. Select Columns with Select Function.mp472.4MB
- 2. Environment Installation/1. Downloading and Installing R & RStudio.mp428.17MB
- 2. Environment Installation/2. R Console Versus R Studio.mp426.17MB
- 3. Data Management in R/3. Graphs and Charts.mp4162.57MB
- 3. Data Management in R/2. Data Manipulation.mp466.3MB
- 3. Data Management in R/1. Getting Data into R.mp444.32MB
- 4. Examining and Managing Data Structures in R/7. Subsetting Vectors.mp457.57MB
- 4. Examining and Managing Data Structures in R/1. Vector Basics.mp448.72MB
- 4. Examining and Managing Data Structures in R/5. Vector Recycling and Iterations.mp443.54MB
- 4. Examining and Managing Data Structures in R/6. Naming Vectors.mp441.97MB
- 4. Examining and Managing Data Structures in R/3. Converting Data Types of Atomic Vectors.mp438.92MB
- 4. Examining and Managing Data Structures in R/2. Atomic Vector Types.mp430.62MB
- 4. Examining and Managing Data Structures in R/4. Test Functions.mp415.84MB
- 5. Lists/1. Lists.mp453.32MB
- 6. Arrays/2. Subsections of an Array.mp485.78MB
- 6. Arrays/1. Arrays.mp434.83MB
- 7. Matrices/3. Calculating With Matrices.mp472.26MB
- 7. Matrices/1. Matrices.mp460.26MB
- 7. Matrices/2. Naming Matrix Row and Columns.mp458.64MB
- 8. Data Frames/3. Manipulating Values in DF.mp4168.08MB
- 8. Data Frames/5. Tibbles in R.mp4101.09MB
- 8. Data Frames/1. Introduction to Data Frames.mp483.28MB
- 8. Data Frames/4. Adding and Removing Variables.mp448.75MB
- 8. Data Frames/2. Naming Variables and Observations in DF.mp432.18MB
- 9. Factors/2. Manipulating Categorical Data with Forcats.mp4154.13MB
- 9. Factors/1. Introduction to Factors.mp441.46MB
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