Udemy - R for Data Science- Learn Data Manipulation With R番号下载_Udemy - R for Data Science- Learn Data Manipulation With R番号下载_Udemy - R for Data Science- Learn Data Manipulation With R下载

Udemy - R for Data Science- Learn Data Manipulation With R

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种子名称： Udemy - R for Data Science- Learn Data Manipulation With R
文件类型：视频
文件数目： 32个文件
文件大小： 2.33 GB
收录时间： 2021-8-24 12:49
已经下载： 3次
资源热度： 142
最近下载： 2024-6-2 14:48

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Udemy - R for Data Science- Learn Data Manipulation With R

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Udemy - R for Data Science- Learn Data Manipulation With R.torrent

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