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

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  • 文件大小:711MB
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文件列表

  1. [2] 1. What Is R/[2] Data science with R A case study.mp4 33MB
  2. [3] 2. Getting Started/[6] Data types and structures.mp4 28MB
  3. [6] 5. Wrangling Data/[1] Creating tidy data.mp4 27MB
  4. [5] 4. Visualizing Data with ggplot2/[3] Using color palettes.mp4 27MB
  5. [7] 6. Recoding Data/[1] Recoding categorical data.mp4 25MB
  6. [5] 4. Visualizing Data with ggplot2/[4] Creating bar charts.mp4 24MB
  7. [5] 4. Visualizing Data with ggplot2/[9] Creating cluster charts.mp4 23MB
  8. [7] 6. Recoding Data/[3] Transforming outliers.mp4 22MB
  9. [6] 5. Wrangling Data/[10] Filtering cases and subgroups.mp4 21MB
  10. [7] 6. Recoding Data/[2] Recoding quantitative data.mp4 20MB
  11. [4] 3. Importing Data/[2] Exploring sample datasets with pacman.mp4 19MB
  12. [4] 3. Importing Data/[5] Importing JSON data.mp4 19MB
  13. [4] 3. Importing Data/[6] Saving data in native R formats.mp4 18MB
  14. [4] 3. Importing Data/[4] Importing XML data.mp4 18MB
  15. [6] 5. Wrangling Data/[6] Working with dates and times.mp4 18MB
  16. [3] 2. Getting Started/[5] Entering data.mp4 17MB
  17. [2] 1. What Is R/[1] R in context.mp4 17MB
  18. [3] 2. Getting Started/[4] Navigating the RStudio environment.mp4 17MB
  19. [3] 2. Getting Started/[8] Packages for R.mp4 16MB
  20. [6] 5. Wrangling Data/[9] Working with categorical variables.mp4 16MB
  21. [5] 4. Visualizing Data with ggplot2/[7] Creating scatterplots.mp4 16MB
  22. [4] 3. Importing Data/[3] Importing data from a spreadsheet.mp4 16MB
  23. [6] 5. Wrangling Data/[8] Working with XML data.mp4 15MB
  24. [4] 3. Importing Data/[1] R's built-in datasets.mp4 15MB
  25. [5] 4. Visualizing Data with ggplot2/[2] Using colors in R.mp4 15MB
  26. [5] 4. Visualizing Data with ggplot2/[5] Creating histograms.mp4 15MB
  27. [7] 6. Recoding Data/[4] Creating scale scores by counting.mp4 14MB
  28. [6] 5. Wrangling Data/[7] Working with list data.mp4 14MB
  29. [6] 5. Wrangling Data/[3] Using data.table.mp4 14MB
  30. [6] 5. Wrangling Data/[5] Converting data from tables to rows.mp4 14MB
  31. [5] 4. Visualizing Data with ggplot2/[6] Creating box plots.mp4 14MB
  32. [5] 4. Visualizing Data with ggplot2/[1] Introduction to ggplot2.mp4 13MB
  33. [1] Introduction/[1] Make your data make sense.mp4 13MB
  34. [6] 5. Wrangling Data/[2] Using tibbles.mp4 13MB
  35. [3] 2. Getting Started/[7] Comments and headers.mp4 12MB
  36. [5] 4. Visualizing Data with ggplot2/[8] Creating multiple graphs.mp4 11MB
  37. [6] 5. Wrangling Data/[4] Converting data from wide to tall and from tall to wide.mp4 11MB
  38. [3] 2. Getting Started/[9] The tidyverse.mp4 10MB
  39. [3] 2. Getting Started/[2] Environments for R.mp4 9MB
  40. [7] 6. Recoding Data/[5] Creating scale scores by averaging.mp4 9MB
  41. [3] 2. Getting Started/[10] Piping commands with %%.mp4 8MB
  42. [8] Conclusion/[1] Next steps.mp4 6MB
  43. [3] 2. Getting Started/[1] Installing R.mp4 4MB
  44. [3] 2. Getting Started/[3] Installing RStudio.mp4 4MB
  45. [1] Introduction/[2] Using the exercise files.mp4 2MB
  46. [2] 1. What Is R/[2] Data science with R A case study.srt 22KB
  47. [3] 2. Getting Started/[6] Data types and structures.srt 22KB
  48. [6] 5. Wrangling Data/[1] Creating tidy data.srt 18KB
  49. [7] 6. Recoding Data/[1] Recoding categorical data.srt 17KB
  50. [5] 4. Visualizing Data with ggplot2/[4] Creating bar charts.srt 17KB
  51. [7] 6. Recoding Data/[3] Transforming outliers.srt 16KB
  52. [5] 4. Visualizing Data with ggplot2/[9] Creating cluster charts.srt 16KB
  53. [5] 4. Visualizing Data with ggplot2/[3] Using color palettes.srt 15KB
  54. [6] 5. Wrangling Data/[10] Filtering cases and subgroups.srt 14KB
  55. [6] 5. Wrangling Data/[9] Working with categorical variables.srt 13KB
  56. [3] 2. Getting Started/[5] Entering data.srt 13KB
  57. [7] 6. Recoding Data/[2] Recoding quantitative data.srt 13KB
  58. [4] 3. Importing Data/[6] Saving data in native R formats.srt 12KB
  59. [4] 3. Importing Data/[2] Exploring sample datasets with pacman.srt 12KB
  60. [6] 5. Wrangling Data/[6] Working with dates and times.srt 11KB
  61. [2] 1. What Is R/[1] R in context.srt 11KB
  62. [5] 4. Visualizing Data with ggplot2/[6] Creating box plots.srt 11KB
  63. [5] 4. Visualizing Data with ggplot2/[7] Creating scatterplots.srt 11KB
  64. [4] 3. Importing Data/[5] Importing JSON data.srt 10KB
  65. [3] 2. Getting Started/[4] Navigating the RStudio environment.srt 10KB
  66. [7] 6. Recoding Data/[4] Creating scale scores by counting.srt 10KB
  67. [4] 3. Importing Data/[3] Importing data from a spreadsheet.srt 10KB
  68. [4] 3. Importing Data/[4] Importing XML data.srt 10KB
  69. [5] 4. Visualizing Data with ggplot2/[5] Creating histograms.srt 10KB
  70. [6] 5. Wrangling Data/[7] Working with list data.srt 10KB
  71. [6] 5. Wrangling Data/[2] Using tibbles.srt 9KB
  72. [6] 5. Wrangling Data/[8] Working with XML data.srt 9KB
  73. [4] 3. Importing Data/[1] R's built-in datasets.srt 9KB
  74. [5] 4. Visualizing Data with ggplot2/[2] Using colors in R.srt 9KB
  75. [6] 5. Wrangling Data/[3] Using data.table.srt 9KB
  76. [6] 5. Wrangling Data/[5] Converting data from tables to rows.srt 9KB
  77. [3] 2. Getting Started/[7] Comments and headers.srt 8KB
  78. [3] 2. Getting Started/[10] Piping commands with %%.srt 8KB
  79. [3] 2. Getting Started/[8] Packages for R.srt 8KB
  80. [6] 5. Wrangling Data/[4] Converting data from wide to tall and from tall to wide.srt 8KB
  81. [5] 4. Visualizing Data with ggplot2/[1] Introduction to ggplot2.srt 8KB
  82. [5] 4. Visualizing Data with ggplot2/[8] Creating multiple graphs.srt 8KB
  83. [7] 6. Recoding Data/[5] Creating scale scores by averaging.srt 6KB
  84. [3] 2. Getting Started/[2] Environments for R.srt 6KB
  85. [3] 2. Getting Started/[9] The tidyverse.srt 5KB
  86. [8] Conclusion/[1] Next steps.srt 4KB
  87. [3] 2. Getting Started/[1] Installing R.srt 3KB
  88. [1] Introduction/[1] Make your data make sense.srt 2KB
  89. [3] 2. Getting Started/[3] Installing RStudio.srt 2KB
  90. [1] Introduction/[2] Using the exercise files.srt 2KB
  91. Uploaded by [Coursesghar.com].txt 1KB
  92. !! IMPORTANT Note !!.txt 287B
  93. !!! Please Support !!! [CoursesGhar.Com].txt 197B
  94. telegram @coursesghargate.url 128B
  95. 00. Websites You May Like/CoursesGhar.Com.url 114B
  96. 00. Websites You May Like/New Internet Shortcut.url 114B
  97. Visit coursesghar.com for more awesome tutorials.url 114B