Pluralsight Path Data Wrangling with 2020 | B6BB604C7F177829CD01DFDFC29224FC0601A991

Pluralsight Path Data Wrangling with 2020

Name	Pluralsight Path. Data Wrangling with R (2020)	DOWNLOAD Copy Link
Total Size	757.3 MB
Total Files	220
Last Seen	2024-11-16 00:19
Hash	B6BB604C7F177829CD01DFDFC29224FC0601A991

/
scr 2023-04.png	112.0 KB
~i.txt	1.2 KB
/A1. Merging Data Sources with R (Dan Tofan, 2019)/
cover.jpg	109.2 KB
exercise.7z	908.5 KB
playlist.m3u	1.1 KB
~i.txt	1.6 KB
/1. Course Overview/
1. Course Overview.mp4	3.5 MB
1. Course Overview.vtt	1.9 KB
/2. Managing Vectors/
1. Version Check.mp4	505.0 KB
1. Version Check.vtt	0.0 KB
2. Creating a Vector from Values.mp4	17.7 MB
2. Creating a Vector from Values.vtt	10.9 KB
3. Merging Values into a Vector.mp4	15.3 MB
3. Merging Values into a Vector.vtt	9.4 KB
4. Merging Vectors into a Character Vector.mp4	17.2 MB
4. Merging Vectors into a Character Vector.vtt	9.4 KB
5. Merging Vectors into a Matrix.mp4	15.4 MB
5. Merging Vectors into a Matrix.vtt	9.6 KB
/.../3. Joining Data Sets with the Merge() Function/
1. Data Frames.mp4	13.7 MB
1. Data Frames.vtt	9.9 KB
2. Inner Joins.mp4	23.3 MB
2. Inner Joins.vtt	11.8 KB
3. Left, Right, and Full Outer Joins.mp4	12.4 MB
3. Left, Right, and Full Outer Joins.vtt	8.4 KB
4. Data Frame Keys.mp4	5.6 MB
4. Data Frame Keys.vtt	4.1 KB
5. Data Frame Relationships.mp4	12.9 MB
5. Data Frame Relationships.vtt	7.2 KB
6. Summary.mp4	2.4 MB
6. Summary.vtt	2.3 KB
/.../4. Joining Data Sets with dplyr/
1. Why dplyr.mp4	8.8 MB
1. Why dplyr.vtt	4.9 KB
2. Inner Joins.mp4	15.5 MB
2. Inner Joins.vtt	8.4 KB
3. Left, Right, and Full Outer Joins.mp4	17.7 MB
3. Left, Right, and Full Outer Joins.vtt	8.4 KB
4. Semi Joins.mp4	6.9 MB
4. Semi Joins.vtt	4.6 KB
5. Anti Joins.mp4	5.4 MB
5. Anti Joins.vtt	3.4 KB
6. Summary.mp4	2.7 MB
6. Summary.vtt	2.8 KB
/A2. Splitting and Combining Data with R (Mariah Weatherford, 2019)/
cover.jpg	93.3 KB
exercise.7z	3.7 MB
playlist.m3u	2.4 KB
~i.txt	1.7 KB
/1. Course Overview/
1. Course Overview.mp4	2.5 MB
1. Course Overview.vtt	2.0 KB
/.../2. Creating Variables to CombineSummarize Data/
01. Course Introduction.mp4	1.6 MB
01. Course Introduction.vtt	1.7 KB
02. Variable Creation Basics.mp4	7.1 MB
02. Variable Creation Basics.vtt	8.1 KB
03. Demo - Variable Creation Basics.mp4	16.3 MB
03. Demo - Variable Creation Basics.vtt	11.6 KB
04. Summary - Variable Creation Basics.mp4	1.8 MB
04. Summary - Variable Creation Basics.vtt	1.8 KB
05. Variable Creation - Tools for Strings.mp4	5.8 MB
05. Variable Creation - Tools for Strings.vtt	5.8 KB
06. Tools for Strings - Pattern Based Functions.mp4	6.5 MB
06. Tools for Strings - Pattern Based Functions.vtt	6.8 KB
07. Tools for Strings - Splitting and Consolidating.mp4	2.4 MB
07. Tools for Strings - Splitting and Consolidating.vtt	2.6 KB
08. Demo - Variable Creation with Strings.mp4	12.8 MB
08. Demo - Variable Creation with Strings.vtt	8.5 KB
09. Summary - Tools for Strings.mp4	3.4 MB
09. Summary - Tools for Strings.vtt	3.1 KB
10. Working with Dates and Times.mp4	6.0 MB
10. Working with Dates and Times.vtt	6.0 KB
11. Variable Creation - Time Based Categories.mp4	5.3 MB
11. Variable Creation - Time Based Categories.vtt	4.9 KB
12. Demo - Variable Creation with Dates and Times.mp4	16.1 MB
12. Demo - Variable Creation with Dates and Times.vtt	8.6 KB
13. Summary - Variable Creation with Dates and Times.mp4	1.9 MB
13. Summary - Variable Creation with Dates and Times.vtt	1.8 KB
/.../3. Grouping and Summarizing Data/
1. Intro to Grouping and Summarizing.mp4	2.8 MB
1. Intro to Grouping and Summarizing.vtt	3.3 KB
2. Demo - Basic Grouping and Summarizing.mp4	12.6 MB
2. Demo - Basic Grouping and Summarizing.vtt	8.2 KB
3. Sorting a Grouped Dataset.mp4	5.8 MB
3. Sorting a Grouped Dataset.vtt	6.0 KB
4. Demo - Utilizing Position Based Functions.mp4	9.6 MB
4. Demo - Utilizing Position Based Functions.vtt	5.7 KB
5. More Functions for Aggregation.mp4	3.1 MB
5. More Functions for Aggregation.vtt	3.7 KB
6. Demo - Repeated Grouping.mp4	11.7 MB
6. Demo - Repeated Grouping.vtt	6.3 KB
7. Joining Datasets.mp4	1.8 MB
7. Joining Datasets.vtt	2.0 KB
8. Demo - Joining Grouped and Ungrouped Datasets.mp4	12.1 MB
8. Demo - Joining Grouped and Ungrouped Datasets.vtt	6.4 KB
9. Summary - Grouping and Summarizing.mp4	3.9 MB
9. Summary - Grouping and Summarizing.vtt	3.6 KB
/.../4. Plotting Combined Data/
1. Intro to ggplot.mp4	9.1 MB
1. Intro to ggplot.vtt	8.1 KB
2. Demo - Intro to ggplot.mp4	5.2 MB
2. Demo - Intro to ggplot.vtt	3.0 KB
3. Choosing a Metric.mp4	7.8 MB
3. Choosing a Metric.vtt	8.0 KB
4. Demo - Choosing a Metric.mp4	13.2 MB
4. Demo - Choosing a Metric.vtt	9.4 KB
5. Adding Annotations.mp4	5.3 MB
5. Adding Annotations.vtt	5.1 KB
6. Demo - Adding Annotations.mp4	10.6 MB
6. Demo - Adding Annotations.vtt	5.6 KB
7. Ordering Categories.mp4	5.1 MB
7. Ordering Categories.vtt	4.6 KB
8. Demo - Ordering Categories.mp4	5.8 MB
8. Demo - Ordering Categories.vtt	4.1 KB
9. Summary - Plotting Combined Data.mp4	4.3 MB
9. Summary - Plotting Combined Data.vtt	4.1 KB
/B1. Reshaping Data with R (Okan Bulut, 2020)/
cover.jpg	90.6 KB
exercise.7z	2.8 MB
playlist.m3u	1.6 KB
~i.txt	1.3 KB
/1. Course Overview/
1. Course Overview.mp4	3.3 MB
1. Course Overview.vtt	2.0 KB
/2. Introduction/
1. Introduction.mp4	5.7 MB
1. Introduction.vtt	4.9 KB
2. A Road Map for Data Science.mp4	6.4 MB
2. A Road Map for Data Science.vtt	6.3 KB
3. Wide and Long Data.mp4	10.7 MB
3. Wide and Long Data.vtt	9.4 KB
4. Reshaping Data in R.mp4	2.7 MB
4. Reshaping Data in R.vtt	2.7 KB
5. Demo.mp4	13.2 MB
5. Demo.vtt	7.2 KB
6. Summary.mp4	1.5 MB
6. Summary.vtt	1.5 KB
/.../3. Reshaping Wide Data to Long Data/
1. Introduction.mp4	2.2 MB
1. Introduction.vtt	1.8 KB
2. Wide to Long - How.mp4	7.4 MB
2. Wide to Long - How.vtt	4.7 KB
3. Ways to Reshape Wide Data in R.mp4	7.5 MB
3. Ways to Reshape Wide Data in R.vtt	6.5 KB
4. Demo - Base R.mp4	27.7 MB
4. Demo - Base R.vtt	11.2 KB
5. Demo - reshape2.mp4	24.4 MB
5. Demo - reshape2.vtt	11.7 KB
6. Demo - tidyr.mp4	20.3 MB
6. Demo - tidyr.vtt	8.6 KB
7. Summary.mp4	2.8 MB
7. Summary.vtt	2.8 KB
/.../4. Reshaping Long Data to Wide Data/
1. Introduction.mp4	2.4 MB
1. Introduction.vtt	2.2 KB
2. Long to Wide - How.mp4	4.3 MB
2. Long to Wide - How.vtt	3.2 KB
3. Ways to Reshape Long Data in R.mp4	6.8 MB
3. Ways to Reshape Long Data in R.vtt	6.8 KB
4. Demo - Base R.mp4	11.9 MB
4. Demo - Base R.vtt	6.1 KB
5. Demo - reshape2.mp4	19.6 MB
5. Demo - reshape2.vtt	9.4 KB
6. Demo - tidyr.mp4	19.0 MB
6. Demo - tidyr.vtt	8.4 KB
7. Summary.mp4	2.3 MB
7. Summary.vtt	2.2 KB
/.../5. Reshaping Data Based on Aggregated Values/
1. Introduction.mp4	2.4 MB
1. Introduction.vtt	2.0 KB
2. Data Aggregation.mp4	4.3 MB
2. Data Aggregation.vtt	3.4 KB
3. Ways to Aggregate Data in R.mp4	4.6 MB
3. Ways to Aggregate Data in R.vtt	4.6 KB
4. Demo - Base R.mp4	15.2 MB
4. Demo - Base R.vtt	7.3 KB
5. Demo - dplyr.mp4	14.6 MB
5. Demo - dplyr.vtt	6.5 KB
6. Summary.mp4	1.9 MB
6. Summary.vtt	1.8 KB
/6. Course Recap/
1. Introduction.mp4	1.5 MB
1. Introduction.vtt	1.3 KB
2. Course Summary.mp4	6.6 MB
2. Course Summary.vtt	5.1 KB
3. Other Reshaping Options and Next Steps.mp4	5.0 MB
3. Other Reshaping Options and Next Steps.vtt	4.0 KB
/C1. Encoding Data with R (Emilee McWilliams, 2020)/
cover.jpg	97.4 KB
exercise.7z	1.2 MB
playlist.m3u	1.5 KB
~i.txt	1.3 KB
/1. Course Overview/
1. Course Overview.mp4	2.7 MB
1. Course Overview.vtt	1.6 KB
/.../2. Converting Values to Factors in R/
1. Intro and Overview.mp4	888.5 KB
1. Intro and Overview.vtt	0.9 KB
2. Factor Variable and Unordered Factor.mp4	2.4 MB
2. Factor Variable and Unordered Factor.vtt	2.2 KB
3. Demo - Factor() Function.mp4	5.8 MB
3. Demo - Factor() Function.vtt	3.5 KB
4. Ordered Factor Variable.mp4	2.6 MB
4. Ordered Factor Variable.vtt	2.1 KB
5. Demo - Ordered Factor Variable.mp4	7.9 MB
5. Demo - Ordered Factor Variable.vtt	4.1 KB
6. Summary.mp4	806.7 KB
6. Summary.vtt	0.7 KB
/.../3. Finding Frequency Data Summaries in R/
1. Intro and Overview.mp4	1.1 MB
1. Intro and Overview.vtt	1.0 KB
2. Frequencies for Factors.mp4	2.6 MB
2. Frequencies for Factors.vtt	2.4 KB
3. Demo - Frequencies with Table() Function.mp4	4.8 MB
3. Demo - Frequencies with Table() Function.vtt	2.8 KB
4. Frequency Distribution and Contingency Tables.mp4	3.3 MB
4. Frequency Distribution and Contingency Tables.vtt	2.8 KB
5. Demo - Contingency Tables.mp4	9.1 MB
5. Demo - Contingency Tables.vtt	4.9 KB
6. Summary.mp4	798.0 KB
6. Summary.vtt	0.7 KB
/.../4. Preparing Qualitative Data for a Database in R/
1. Intro and Overview.mp4	1.1 MB
1. Intro and Overview.vtt	0.9 KB
2. Qualitative Data and Indicator Flags.mp4	3.7 MB
2. Qualitative Data and Indicator Flags.vtt	3.0 KB
3. Demo - Indicator Flag.mp4	9.0 MB
3. Demo - Indicator Flag.vtt	5.0 KB
4. Summary.mp4	965.9 KB
4. Summary.vtt	0.6 KB
/.../5. Encoding Data for a Potential Model in R/
1. Intro and Overview.mp4	833.5 KB
1. Intro and Overview.vtt	0.7 KB
2. Transforming Qualitative Data Field with One-hot Encoding.mp4	5.2 MB
2. Transforming Qualitative Data Field with One-hot Encoding.vtt	3.5 KB
3. Demo - One-hot Encoding.mp4	6.7 MB
3. Demo - One-hot Encoding.vtt	3.1 KB
4. Summary.mp4	1.0 MB
4. Summary.vtt	0.7 KB
Total files 220