LinkedIn Learning - R Essential Training Wrangling and Visualizing Data [CoursesGhar]

Creation Time	Jan. 12, 2024, 9:01 p.m.
Last Access Time	Nov. 6, 2024, 8:47 p.m.
File Size	710.6 MB
Keywords	and Training CoursesGhar Wrangling - LinkedIn R Learning Visualizing Data Essential
Total Requests	2
Total Files	97
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[2] 1. What Is R/[2] Data science with R A case study.mp4 32.6 MB
[3] 2. Getting Started/[6] Data types and structures.mp4 28.4 MB
[6] 5. Wrangling Data/[1] Creating tidy data.mp4 27.5 MB
[5] 4. Visualizing Data with ggplot2/[3] Using color palettes.mp4 27.2 MB
[7] 6. Recoding Data/[1] Recoding categorical data.mp4 25.1 MB
[5] 4. Visualizing Data with ggplot2/[4] Creating bar charts.mp4 24.1 MB
[5] 4. Visualizing Data with ggplot2/[9] Creating cluster charts.mp4 22.6 MB
[7] 6. Recoding Data/[3] Transforming outliers.mp4 21.7 MB
[6] 5. Wrangling Data/[10] Filtering cases and subgroups.mp4 20.9 MB
[7] 6. Recoding Data/[2] Recoding quantitative data.mp4 19.5 MB
[4] 3. Importing Data/[2] Exploring sample datasets with pacman.mp4 19.1 MB
[4] 3. Importing Data/[5] Importing JSON data.mp4 18.9 MB
[4] 3. Importing Data/[6] Saving data in native R formats.mp4 18.5 MB
[4] 3. Importing Data/[4] Importing XML data.mp4 17.8 MB
[6] 5. Wrangling Data/[6] Working with dates and times.mp4 17.8 MB
[3] 2. Getting Started/[5] Entering data.mp4 16.7 MB
[2] 1. What Is R/[1] R in context.mp4 16.7 MB
[3] 2. Getting Started/[4] Navigating the RStudio environment.mp4 16.6 MB
[3] 2. Getting Started/[8] Packages for R.mp4 16.4 MB
[6] 5. Wrangling Data/[9] Working with categorical variables.mp4 16.0 MB
[5] 4. Visualizing Data with ggplot2/[7] Creating scatterplots.mp4 15.8 MB
[4] 3. Importing Data/[3] Importing data from a spreadsheet.mp4 15.7 MB
[6] 5. Wrangling Data/[8] Working with XML data.mp4 15.2 MB
[4] 3. Importing Data/[1] R's built-in datasets.mp4 15.1 MB
[5] 4. Visualizing Data with ggplot2/[2] Using colors in R.mp4 15.1 MB
[5] 4. Visualizing Data with ggplot2/[5] Creating histograms.mp4 14.9 MB
[7] 6. Recoding Data/[4] Creating scale scores by counting.mp4 14.4 MB
[6] 5. Wrangling Data/[7] Working with list data.mp4 14.1 MB
[6] 5. Wrangling Data/[3] Using data.table.mp4 14.0 MB
[6] 5. Wrangling Data/[5] Converting data from tables to rows.mp4 13.9 MB
[5] 4. Visualizing Data with ggplot2/[6] Creating box plots.mp4 13.6 MB
[5] 4. Visualizing Data with ggplot2/[1] Introduction to ggplot2.mp4 13.4 MB
[1] Introduction/[1] Make your data make sense.mp4 12.9 MB
[6] 5. Wrangling Data/[2] Using tibbles.mp4 12.8 MB
[3] 2. Getting Started/[7] Comments and headers.mp4 12.2 MB
[5] 4. Visualizing Data with ggplot2/[8] Creating multiple graphs.mp4 11.3 MB
[6] 5. Wrangling Data/[4] Converting data from wide to tall and from tall to wide.mp4 10.9 MB
[3] 2. Getting Started/[9] The tidyverse.mp4 9.5 MB
[3] 2. Getting Started/[2] Environments for R.mp4 9.0 MB
[7] 6. Recoding Data/[5] Creating scale scores by averaging.mp4 8.7 MB
[3] 2. Getting Started/[10] Piping commands with %%.mp4 7.6 MB
[8] Conclusion/[1] Next steps.mp4 6.2 MB
[3] 2. Getting Started/[1] Installing R.mp4 4.2 MB
[3] 2. Getting Started/[3] Installing RStudio.mp4 4.0 MB
[1] Introduction/[2] Using the exercise files.mp4 1.5 MB
[2] 1. What Is R/[2] Data science with R A case study.srt 22.5 KB
[3] 2. Getting Started/[6] Data types and structures.srt 21.9 KB
[6] 5. Wrangling Data/[1] Creating tidy data.srt 17.9 KB
[7] 6. Recoding Data/[1] Recoding categorical data.srt 17.1 KB
[5] 4. Visualizing Data with ggplot2/[4] Creating bar charts.srt 17.0 KB
[7] 6. Recoding Data/[3] Transforming outliers.srt 16.1 KB
[5] 4. Visualizing Data with ggplot2/[9] Creating cluster charts.srt 15.5 KB
[5] 4. Visualizing Data with ggplot2/[3] Using color palettes.srt 14.6 KB
[6] 5. Wrangling Data/[10] Filtering cases and subgroups.srt 13.7 KB
[6] 5. Wrangling Data/[9] Working with categorical variables.srt 13.0 KB
[3] 2. Getting Started/[5] Entering data.srt 12.7 KB
[7] 6. Recoding Data/[2] Recoding quantitative data.srt 12.5 KB
[4] 3. Importing Data/[6] Saving data in native R formats.srt 11.8 KB
[4] 3. Importing Data/[2] Exploring sample datasets with pacman.srt 11.5 KB
[6] 5. Wrangling Data/[6] Working with dates and times.srt 11.0 KB
[2] 1. What Is R/[1] R in context.srt 10.9 KB
[5] 4. Visualizing Data with ggplot2/[6] Creating box plots.srt 10.7 KB
[5] 4. Visualizing Data with ggplot2/[7] Creating scatterplots.srt 10.7 KB
[4] 3. Importing Data/[5] Importing JSON data.srt 10.4 KB
[3] 2. Getting Started/[4] Navigating the RStudio environment.srt 10.4 KB
[7] 6. Recoding Data/[4] Creating scale scores by counting.srt 10.0 KB
[4] 3. Importing Data/[3] Importing data from a spreadsheet.srt 9.9 KB
[4] 3. Importing Data/[4] Importing XML data.srt 9.9 KB
[5] 4. Visualizing Data with ggplot2/[5] Creating histograms.srt 9.7 KB
[6] 5. Wrangling Data/[7] Working with list data.srt 9.5 KB
[6] 5. Wrangling Data/[2] Using tibbles.srt 9.3 KB
[6] 5. Wrangling Data/[8] Working with XML data.srt 9.2 KB
[4] 3. Importing Data/[1] R's built-in datasets.srt 9.0 KB
[5] 4. Visualizing Data with ggplot2/[2] Using colors in R.srt 8.9 KB
[6] 5. Wrangling Data/[3] Using data.table.srt 8.9 KB
[6] 5. Wrangling Data/[5] Converting data from tables to rows.srt 8.5 KB
[3] 2. Getting Started/[7] Comments and headers.srt 8.5 KB
[3] 2. Getting Started/[10] Piping commands with %%.srt 8.1 KB
[3] 2. Getting Started/[8] Packages for R.srt 8.1 KB
[6] 5. Wrangling Data/[4] Converting data from wide to tall and from tall to wide.srt 7.6 KB
[5] 4. Visualizing Data with ggplot2/[1] Introduction to ggplot2.srt 7.6 KB
[5] 4. Visualizing Data with ggplot2/[8] Creating multiple graphs.srt 7.5 KB
[7] 6. Recoding Data/[5] Creating scale scores by averaging.srt 6.0 KB
[3] 2. Getting Started/[2] Environments for R.srt 5.9 KB
[3] 2. Getting Started/[9] The tidyverse.srt 4.6 KB
[8] Conclusion/[1] Next steps.srt 3.9 KB
[3] 2. Getting Started/[1] Installing R.srt 2.6 KB
[1] Introduction/[1] Make your data make sense.srt 2.5 KB
[3] 2. Getting Started/[3] Installing RStudio.srt 2.2 KB
[1] Introduction/[2] Using the exercise files.srt 1.6 KB
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LinkedIn Learning - R Essential Training Wrangling and Visualizing Data [CoursesGhar]

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