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[ DevCourseWeb com ] Udemy - Efficient R Programming with the Tidyverse
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Name:[ DevCourseWeb com ] Udemy - Efficient R Programming with the Tidyverse
Infohash: 8B7B8C99DF374E5D497CBDE02445C678DDD7542C
Total Size: 764.18 MB
Magnet: Magnet Download
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Stream: Watch Full Movies @ LimeMovies
Last Updated: 2025-10-13 16:21:37 (Update Now)
Torrent added: 2021-10-22 02:33:46
Torrent Files List
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1. Welcome
1. Introduction.mp4
1. Introduction.srt
1.1 Introduction.pdf
1.2 Introduction().pdf
2. Data manipulation with dplyr
1. Filtering data.mp4
1. Filtering data.srt
1.1 Module 1 Lecture 1 filter.pdf
1.2 Module 1 Lecture 1 filter().pdf
10. Additional dplyr tips.mp4
10. Additional dplyr tips.srt
10.1 Module 1 Lecture 10 additional dplyr tips.pdf
10.2 Module 1 Lecture 10 tips.pdf
2. Selecting variables in data.mp4
2. Selecting variables in data.srt
2.1 Module 1 Lecture 2 select.pdf
2.2 Module 1 Lecture 2 select().pdf
3. Extracting rows in data.mp4
3. Extracting rows in data.srt
3.1 Module 1 Lecture 3 slice.pdf
3.2 Module 1 Lecture 3 slice().pdf
4. Creating new variables from data.mp4
4. Creating new variables from data.srt
4.1 Module 1 Lecture 4 mutate.pdf
4.2 Module 1 Lecture 4 mutate().pdf
5. Sorting data.mp4
5. Sorting data.srt
5.1 Module 1 Lecture 5 arrange.pdf
5.2 Module 1 Lecture 5 arrange().pdf
6. Grouping variables.mp4
6. Grouping variables.srt
6.1 Module 1 Lecture 6 group_by.pdf
6.2 Module 1 Lecture 6 group_by().pdf
7. Summarising data.mp4
7. Summarising data.srt
7.1 Module 1 Lecture 7 summarise.pdf
7.2 Module 1 Lecture 7 summarise().pdf
8. Magrittr forward pipe (%%).mp4
8. Magrittr forward pipe (%%).srt
8.1 Module 1 Lecture 8 magrittr forward pipe().pdf
8.2 Module 1 Lecture 8 magrittr.pdf
9. Joining or merging several data sets.mp4
9. Joining or merging several data sets.srt
9.1 Module 1 Lecture 9 join.pdf
9.2 Module 1 Lecture 9 join().pdf
3. Data re-shaping with tidyr
1. Introducing tidy data.mp4
1. Introducing tidy data.srt
1.1 Module 2 Lecture 1 tidy data.pdf
2. Gathering variables.mp4
2. Gathering variables.srt
2.1 Module 2 Lecture 2 gather.pdf
2.2 Module 2 Lecture 2 gather().pdf
3. Spreading variables.mp4
3. Spreading variables.srt
3.1 Module 2 Lecture 3 spread.pdf
3.2 Module 2 Lecture 3 spread().pdf
4. Separating values within a cell.mp4
4. Separating values within a cell.srt
4.1 Module 2 Lecture 4 separate.pdf
4.2 Module 2 Lecture 4 separate().pdf
4. Data visualisation with ggplot2
1. Principles of a ggplot function call.mp4
1. Principles of a ggplot function call.srt
1.1 Module 3 Lecture 1 ggplot principles.pdf
1.2 Module 3 Lecture 1 layers within ggplot2().pdf
2. Creating scatterplots.mp4
2. Creating scatterplots.srt
2.1 Module 3 Lecture 2 scatterplots.pdf
2.2 Module 3 Lecture 2 scatterplots().pdf
3. Creating boxplots.mp4
3. Creating boxplots.srt
3.1 Module 3 Lecture 3 boxplots.pdf
3.2 Module 3 Lecture 3 boxplots().pdf
4. Creating barcharts.mp4
4. Creating barcharts.srt
4.1 Module 3 Lecture 4 barcharts.pdf
4.2 Module 3 Lecture 4 barcharts().pdf
5. Creating line charts.mp4
5. Creating line charts.srt
5.1 Module 3 Lecture 5 line charts.pdf
5.2 Module 3 Lecture 5 line graphs().pdf
6. Creating a panel of graphs.mp4
6. Creating a panel of graphs.srt
6.1 Module 3 Lecture 6 facets.pdf
6.2 Module 3 Lecture 6 facets().pdf
7. Additional ggplot2 tips.mp4
7. Additional ggplot2 tips.srt
7.1 Module 3 Lecture 7 additional tips ggplot2().pdf
7.2 Module 3 Lecture 7 tips.pdf
Bonus Resources.txt
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