Это пробный урок. Оформите подписку, чтобы получить доступ ко всем материалам курса. Премиум

  1. Урок 1. 00:02:16
    Building Web Applications that Deliver Business Value!
  2. Урок 2. 00:01:55
    Course Roadmap - Building Production-Ready Web Apps Fast!
  3. Урок 3. 00:00:58
    Why Pricing Products Consistently Is Important
  4. Урок 4. 00:01:18
    Course Objective - Product Price Prediction App with Shiny & Flexdashboard
  5. Урок 5. 00:02:52
    Resource #1: The Ultimate R Cheat Sheet - Version 2.0 (File Download)
  6. Урок 6. 00:03:07
    Installing R (Optional)
  7. Урок 7. 00:03:04
    Installing RStudio IDE (Optional)
  8. Урок 8. 00:02:35
    Setting Up The Project (File Download)
  9. Урок 9. 00:03:05
    Installing R Packages (File Download)
  10. Урок 10. 00:01:42
    Transactional Data - What Is It?
  11. Урок 11. 00:03:54
    Orders: The Building Blocks of Transactional Data
  12. Урок 12. 00:02:15
    Data Model: Entity Relationship Diagram
  13. Урок 13. 00:06:19
    Understanding Database Relationships
  14. Урок 14. 00:02:03
    Part 1 - Learning Shiny By Building A Sales Dashboard!
  15. Урок 15. 00:00:55
    What You Build In This Section
  16. Урок 16. 00:06:31
    Resource #2: Flexdashboard Documentation & Key Resources
  17. Урок 17. 00:03:07
    Flexdashboard: Introduction & Layout Basics
  18. Урок 18. 00:01:25
    Orientation: Column vs Row
  19. Урок 19. 00:03:50
    Vertical Layout: Fill vs Scroll
  20. Урок 20. 00:02:52
    Tabsets
  21. Урок 21. 00:04:02
    Multiple Pages
  22. Урок 22. 00:01:36
    Flexdashboard Setup
  23. Урок 23. 00:01:24
    Libraries
  24. Урок 24. 00:04:03
    Database Connection
  25. Урок 25. 00:05:01
    Joining Data Using The SQLite Backend - Part 1
  26. Урок 26. 00:04:13
    Joining The Data Using The Database Backend - Part 2
  27. Урок 27. 00:02:21
    Processing Data: Final Preparations for the Map
  28. Урок 28. 00:02:00
    Adding A Section To The App
  29. Урок 29. 00:01:40
    Making the Plotly Map, Part 1: Plotly Chloropleth Maps
  30. Урок 30. 00:03:02
    Making The Plotly Map, Part 2: Aggregation By State
  31. Урок 31. 00:02:38
    Making The Plotly Map, Part 3: plot_geo()
  32. Урок 32. 00:03:28
    Making the Plotly Map, Part 4: add_trace()
  33. Урок 33. 00:03:15
    Making the Plotly Map, Part 5: layout()
  34. Урок 34. 00:00:42
    What You Build In This Section
  35. Урок 35. 00:01:48
    Setup (File Download)
  36. Урок 36. 00:08:19
    Resources #3: Shiny Cheat Sheet
  37. Урок 37. 00:01:41
    Resource #4: Shiny Widgets Gallery
  38. Урок 38. 00:04:48
    Resource #5: HTML Widgets Showcase
  39. Урок 39. 00:02:07
    Resource #6: shinyjs
  40. Урок 40. 00:05:19
    Shiny Tutorial App - Overview
  41. Урок 41. 00:05:38
    Checkbox - checkboxGroupInput()
  42. Урок 42. 00:07:20
    Checkbox - renderPrint() & textOutput()
  43. Урок 43. 00:05:13
    Date Range - dateRangeInput()
  44. Урок 44. 00:02:42
    Date Range - renderPrint() & textOutput()
  45. Урок 45. 00:03:51
    Slider - sliderInput()
  46. Урок 46. 00:02:35
    Slider - renderPrint() & textOutput()
  47. Урок 47. 00:05:49
    Reactive Filtering - reactive()
  48. Урок 48. 00:05:27
    Data Table - Interactive Tables with DT
  49. Урок 49. 00:05:28
    Reactive Expressions: Adding More Inputs to reactive()
  50. Урок 50. 00:05:18
    Reactive Summarization: DT
  51. Урок 51. 00:02:30
    Reset Button, Part 1: actionButton()
  52. Урок 52. 00:01:17
    Resource #7: Font Awesome
  53. Урок 53. 00:07:32
    Reset Button, Part 2: observeEvent()
  54. Урок 54. 00:04:26
    Sales Dashboard: Setting Up For Shiny
  55. Урок 55. 00:02:09
    shinyWidgets
  56. Урок 56. 00:07:11
    Data Preparation
  57. Урок 57. 00:06:27
    Bike Type Selector - shinyWidgets::checkboxGroupButtons()
  58. Урок 58. 00:06:35
    Bike Type Selector - reactive() & renderPlotly()
  59. Урок 59. 00:07:04
    Bike Family Selector - shinyWidgets::pickerInput()
  60. Урок 60. 00:01:21
    Bike Family Selector - reactive() filter
  61. Урок 61. 00:06:24
    Reset Button: actionButton()
  62. Урок 62. 00:01:38
    Challenge 1 - Add Date Range Input (File Download)
  63. Урок 63. 00:05:33
    Challenge 1 - Solution, Part 1
  64. Урок 64. 00:07:52
    Challenge 1 - Solution, Part 2
  65. Урок 65. 00:01:03
    What You Build In this Section
  66. Урок 66. 00:01:39
    Setup (File Download)
  67. Урок 67. 00:01:04
    Time Series Plot: Game Plan
  68. Урок 68. 00:01:36
    Flexdashboard Layout: "Over Time" Section
  69. Урок 69. 00:06:57
    Data Preparation
  70. Урок 70. 00:05:46
    Making the ggplot Geometries
  71. Урок 71. 00:02:54
    Formatting the ggplot
  72. Урок 72. 00:01:27
    Adding Interactivity: ggplotly()
  73. Урок 73. 00:02:03
    Parameterizing The Time Unit
  74. Урок 74. 00:00:56
    Next Steps: Reactivity
  75. Урок 75. 00:01:33
    Adding Reactivity: Game Plan
  76. Урок 76. 00:05:56
    Adding Reactivity, Part 1: Date Range Input
  77. Урок 77. 00:02:05
    Adding Reactivity, Part 2: renderPlotly()
  78. Урок 78. 00:04:47
    Adding Reactivity, Part 3: Connecting the Category 1 & 2 Inputs
  79. Урок 79. 00:08:41
    Adding Reactivity, Part 4: Date Aggregation with Radio Group Buttons
  80. Урок 80. 00:00:41
    Adding Reactivity, Part 5: Connecting the Date Aggregation Buttons
  81. Урок 81. 00:02:25
    Finishing Touches
  82. Урок 82. 00:00:46
    Next Steps
  83. Урок 83. 00:02:10
    Apply Button: Reactive Programming Overview
  84. Урок 84. 00:01:57
    Adding the Apply Button: actionButton()
  85. Урок 85. 00:05:20
    Reactive Button Click: eventReactive()
  86. Урок 86. 00:03:08
    Loading Plots When Firing Up The Application
  87. Урок 87. 00:01:00
    Welcome to shinyjs
  88. Урок 88. 00:02:26
    Setting Up shinyjs in RMarkdown
  89. Урок 89. 00:02:40
    Reset Button: Update Time Aggregation Buttons
  90. Урок 90. 00:04:06
    Reset Button: Click "Apply" with shinyjs
  91. Урок 91. 00:02:31
    Reset Button: Delay "Apply" Click with shinyjs
  92. Урок 92. 00:01:13
    Recap
  93. Урок 93. 00:00:54
    What You Build
  94. Урок 94. 00:03:31
    Setup & Layout
  95. Урок 95. 00:03:35
    Making Value Boxes: valueBox()
  96. Урок 96. 00:07:25
    Data Summarization, Part 1
  97. Урок 97. 00:04:21
    Data Summarization, Part 2
  98. Урок 98. 00:02:24
    Reactive Data Summarization
  99. Урок 99. 00:04:36
    Healthy Value Box
  100. Урок 100. 00:03:00
    Wealthy Value Box
  101. Урок 101. 00:03:01
    Wise Value Box
  102. Урок 102. 00:02:11
    Part 2 - Making A Predictive Web Application that Helps Your Organization
  103. Урок 103. 00:04:11
    Predictive Analysis Goals
  104. Урок 104. 00:03:33
    Setup (File Download)
  105. Урок 105. 00:07:07
    Preprocessing the Bikes Table
  106. Урок 106. 00:03:13
    Training Data Set: Getting Ready for parsnip + XGBoost
  107. Урок 107. 00:06:37
    Machine Learning Algorithm: parsnip + XGBoost
  108. Урок 108. 00:09:07
    Modularizing the Preprocessing Code, Part 1: Separate Bike Description
  109. Урок 109. 00:05:04
    Modularizing the Preprocessing Code, Part 2: Separate Model Description
  110. Урок 110. 00:06:03
    Making Predictions from User Input
  111. Урок 111. 00:08:13
    Modularizing the Prediction: Generating New Bikes
  112. Урок 112. 00:05:19
    Formatted Table
  113. Урок 113. 00:01:09
    Modularizing the Table Output: format_table()
  114. Урок 114. 00:07:04
    Bike Prediction Plot: Data Preparation
  115. Урок 115. 00:07:17
    Bike Prediction Plot: ggplot, Part 1
  116. Урок 116. 00:04:48
    Bike Prediction Plot: ggplot, Part 2
  117. Урок 117. 00:05:06
    Modularize the Bike Prediction Plot: plot_bike_prediction()
  118. Урок 118. 00:00:53
    What You Build In This Section
  119. Урок 119. 00:02:48
    Setup: dir_create() & flexdashboard creation
  120. Урок 120. 00:03:26
    Setting Up The Flexdashboard Layout
  121. Урок 121. 00:03:36
    Load Libraries
  122. Урок 122. 00:03:20
    Data: Connect to SQLite and Load Bikes Table Into Memory
  123. Урок 123. 00:03:01
    Scripts: Source Our Modular Prediction Functions
  124. Урок 124. 00:01:52
    Machine Learning Model: Loading Our XGBoost Algorithm
  125. Урок 125. 00:03:34
    Generating Bike Predictions
  126. Урок 126. 00:00:41
    The Prediction Table: format_table()
  127. Урок 127. 00:02:27
    The Price Prediction Plot: plot_bike_prediction()
  128. Урок 128. 00:01:38
    Aside - The Difference Between Flexdashboard With & Without runtime: shiny
  129. Урок 129. 00:01:00
    What You Build In This Section
  130. Урок 130. 00:00:48
    Setup (File Download)
  131. Урок 131. 00:01:34
    Adding Shiny To Our App - runtime: shiny
  132. Урок 132. 00:02:10
    Adding A Text Input: textInput()
  133. Урок 133. 00:02:10
    Adding An Apply Button: actionButton()
  134. Урок 134. 00:04:22
    Adding Reactivity To The Apply Button: eventReactive()
  135. Урок 135. 00:02:32
    Rendering The Prediction Plot: renderPlotly()
  136. Урок 136. 00:01:50
    Rendering The Prediction Table: renderTable()
  137. Урок 137. 00:01:27
    Render On Load: Prediction Plot & Table
  138. Урок 138. 00:01:30
    Challenge #2: Reset Button (File Download)
  139. Урок 139. 00:06:23
    Challenge #2 Solution (File Download)
  140. Урок 140. 00:00:56
    What You Build In This Section
  141. Урок 141. 00:00:44
    Setup (File Download)
  142. Урок 142. 00:02:05
    Organizing Our UI & Adding The shinyWidgets Library
  143. Урок 143. 00:03:01
    Getting The Unique Categories: distinct()
  144. Урок 144. 00:03:59
    Adding Bike Family UI: pickerInput()
  145. Урок 145. 00:02:08
    Connecting Bike Family UI To The Apply Button
  146. Урок 146. 00:02:01
    Connecting Bike Family UI To The Reset Button
  147. Урок 147. 00:06:23
    Generate Bike Type From Bike Family
  148. Урок 148. 00:03:18
    Update Bike Family In Bike Prediction
  149. Урок 149. 00:02:18
    Adding Frame Material UI: pickerInput()
  150. Урок 150. 00:03:39
    Connecting Frame Material UI To Apply, Reset, & Generate New Bike Prediction
  151. Урок 151. 00:01:08
    Part 3 - Customizing The App To Your Organizations Brand!
  152. Урок 152. 00:01:45
    Setup (File Download)
  153. Урок 153. 00:10:12
    Resource #8: Chrome DevTools - Browser Web Development Tools
  154. Урок 154. 00:07:09
    CSS Setup & Coloring the Navbar
  155. Урок 155. 00:03:50
    Coloring the Sidebar
  156. Урок 156. 00:04:54
    Adding a Logo
  157. Урок 157. 00:08:04
    Resource #9: Google Fonts
  158. Урок 158. 00:05:02
    Navbar - Montserrat
  159. Урок 159. 00:04:32
    Headers - Montserrat
  160. Урок 160. 00:02:26
    Body - Roboto
  161. Урок 161. 00:09:17
    Coloring the Buttons
  162. Урок 162. 00:04:19
    Challenge #3: Cannondale Challenge! (File Downloads)
  163. Урок 163. 00:14:12
    Challenge #3 Solution, Part 1 (File Download)
  164. Урок 164. 00:15:29
    Challenge #3 Solution, Part 2
  165. Урок 165. 00:01:21
    Displaying Product Images in Your Shiny App
  166. Урок 166. 00:04:53
    Setup (File Downloads)
  167. Урок 167. 00:04:10
    Connect the Script & Model Paths
  168. Урок 168. 00:01:21
    Image Placeholder
  169. Урок 169. 00:05:59
    Extracting the Model Base
  170. Урок 170. 00:04:02
    Generate New Bike: To Speed Up Debugging
  171. Урок 171. 00:05:21
    Detecting & Retrieving the Image Path
  172. Урок 172. 00:02:37
    Expose the Image Path to the App
  173. Урок 173. 00:04:59
    Rendering Images: renderImage()
  174. Урок 174. 00:05:39
    Handling Bike Models with Numbers in their Names
  175. Урок 175. 00:01:00
    Part 4 - Adding Demand Forecasting & Customizing Your Sales Dashboard
  176. Урок 176. 00:04:05
    App Setup (File Download)
  177. Урок 177. 00:04:05
    Forecast Analysis: Setup & Overview
  178. Урок 178. 00:05:17
    Data Processing
  179. Урок 179. 00:07:05
    Time Series Aggregation: aggregate_time_series()
  180. Урок 180. 00:05:17
    Time Series Plot: plot_time_series()
  181. Урок 181. 00:01:46
    Time Series ML vs ARIMA: Why We Are Using ML For Our App
  182. Урок 182. 00:06:22
    timetk, Part 1: A toolkit for time series ML prep
  183. Урок 183. 00:03:15
    timetk Part 2: A Toolkit for Time Series ML Prep
  184. Урок 184. 00:08:48
    Making Training & Future Data
  185. Урок 185. 00:07:52
    XGBoost Forecast Model (File Download)
  186. Урок 186. 00:08:23
    Making Predictions & Outputting in the Format for Our New Forecast Plot
  187. Урок 187. 00:06:03
    Modularizing the XGBoost Forecast: generate_forecast()
  188. Урок 188. 00:06:46
    Interactive Forecast Plot
  189. Урок 189. 00:02:31
    plot_forecast()
  190. Урок 190. 00:06:11
    Visual Forecast Inspection
  191. Урок 191. 00:04:10
    Preparing for the Model Change
  192. Урок 192. 00:02:34
    Add Logic: Separating the Yearly Data from the Other Time Aggregations
  193. Урок 193. 00:05:02
    Making a Linear Regression Model for Yearly Data
  194. Урок 194. 00:05:29
    Updating the Plot Forecast Function, Part 1
  195. Урок 195. 00:05:41
    Updating the Plot Forecast Function, Part 2
  196. Урок 196. 00:01:22
    Saving Our Functions
  197. Урок 197. 00:03:24
    Setup (File Download)
  198. Урок 198. 00:03:08
    Trend Evaluation
  199. Урок 199. 00:03:10
    Experiment #1: Exploring Trend w/ XGBoost Forecast
  200. Урок 200. 00:13:54
    Experiment #2: Comparing XGBoost & GLMNet
  201. Урок 201. 00:02:03
    Overview
  202. Урок 202. 00:02:25
    Setup
  203. Урок 203. 00:05:47
    Toggle Switch: switchInput() [with CSS Copy-Paste]
  204. Урок 204. 00:04:08
    Showing & Hiding the Forecast Horizon: conditionalPanel()
  205. Урок 205. 00:03:00
    Link the Forecast Toggle Switch to Reset & Update Buttons
  206. Урок 206. 00:08:35
    Integrating the Forecast
  207. Урок 207. 00:04:21
    Producing the Forecast Plot
  208. Урок 208. 00:03:26
    Connecting the Forecast to the Time Unit Radio Buttons: observeEvent()
  209. Урок 209. 00:03:27
    Connecting the Forecast to the Forecast Mode Toggle Switch: observeEvent()
  210. Урок 210. 00:06:05
    Value Boxes, Part 1: Update Colors with Changing Data Filters
  211. Урок 211. 00:06:53
    Value Boxes, Part 2: Update Colors with Changing Data Filters
  212. Урок 212. 00:06:01
    Customer Selection: pickerInput()
  213. Урок 213. 00:04:51
    Connecting the Customer Selection to the Data Filter
  214. Урок 214. 00:00:59
    Recap
  215. Урок 215. 00:01:10
    Creating a CSS Theme for Our Shiny App
  216. Урок 216. 00:01:15
    Setup (File Download)
  217. Урок 217. 00:03:01
    Connecting Our CSS & Logo
  218. Урок 218. 00:08:35
    Adjusting the Sidebar Width
  219. Урок 219. 00:04:55
    Coloring the Forecast Mode Toggle Switch
  220. Урок 220. 00:11:00
    Coloring the Time Series Radio Buttons
  221. Урок 221. 00:05:52
    Coloring the Value Boxes
  222. Урок 222. 00:02:36
    Updating the CSS to Make Responsive for Mobile Devices
  223. Урок 223. 00:03:17
    Enabling Scroll Capability on the UI Sidebar for Mobile Devices
  224. Урок 224. 00:00:46
    Making a Dark Theme!
  225. Урок 225. 00:09:21
    Adding A View Mode Toggle Switch
  226. Урок 226. 00:06:06
    Creating The Dark Theme
  227. Урок 227. 00:05:40
    Switching Themes with includeCSS() & renderUI()
  228. Урок 228. 00:03:15
    Adjusting the Theme for Mobile Devices
  229. Урок 229. 00:01:11
    Final Shiny Sales Dashboard with Forecasting & Dark Theme!
  230. Урок 230. 00:00:30
    Publishing Your Shiny Web Application
  231. Урок 231. 00:06:04
    Publishing Options
  232. Урок 232. 00:03:41
    Setup: Shinyapps.io & App Files
  233. Урок 233. 00:03:05
    Connecting To Shinyapps.io & Publishing
  234. Урок 234. 00:05:21
    Troubleshooting Error #1: Files are Outside of App Directory
  235. Урок 235. 00:01:55
    Troubleshooting Error #2: xgboost package is not being installed
  236. Урок 236. 00:00:27
    Shiny App Deployed!!!
  237. Урок 237. 00:01:37
    Challenge #4: Create & Deploy Your Own App
  238. Урок 238. 00:01:39
    You Did It! I'm So Happy For You!!