|
所在平台: Coursera |
课程主页: https://www.coursera.org/learn/data-viz-shiny-dashboards
课程评论：没有评论
课程名称：使用 Shiny 和 flexdashboard 发布可视化 课程概述：数据可视化是任何经常使用定量数据工作者的关键技能，几乎每一位现代职场人士都需要掌握这一工具。R 语言是当前数据可视化的重要工具，尤其结合 tidyverse 软件包，R 成为制作图形、表格和可重复报告的强大灵活平台。然而，R 对于初学者来说可能会显得复杂，而且网络上有众多资源，往往令人难以选择。本课程是“R 语言中的数据可视化与仪表盘”专业化的第四门课程。学员在报名时应具备使用 ggplot2 进行可视化的扎实基础。本课程将重点介绍如何使用 Shiny 创建交互式可视化，以及如何将 R 中的不同类型图形组合成交互式仪表盘。 课程大纲： 第一部分：Shiny 介绍 本模块将初步了解如何使用 Shiny 创建交互式可视化。学员应先观看每个课时中的介绍视频，然后仔细阅读提供的资料与参考文献。建议在理解后再次观看视频，以确认知识掌握情况。学员在学习过程中将进行几次小测验，以确保掌握进度。 第二部分：定制 Shiny 应用 在本模块中，我们将深入探讨 Shiny 应用的布局设计。学员应同样观看每个课时的介绍视频，仔细阅读相关材料，理解后再复习视频，并通过小测验检验学习进度。 第三部分：flexdashboard 本模块将学习如何使用 flexdashboard 将可视化以仪表盘格式展示。学员的学习步骤与前两个模块相同，重点在于观看介绍视频、查阅资料和进行小测验，以确保有效掌握课程内容。
Part: 1
Title:Introduction to Shiny
Description:In this module, we will get started using Shiny to create interactive visualizations. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.
Part: 2
Title:Customizing Shiny Apps
Description:In this module, we will go into greater details about laying Shiny applications. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.
Part: 3
Title:flexdashboard
Description:In this module, we will learn how to use flexdashboard to display visualization in a dashboard format. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.
Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance. This course is the fourth in the Specialization "Data Visualization and Dashboarding in R." Learners will come to this course with a strong background in making visualization in R using ggplot2. To build on those skills, this course covers creating interactive visualization using Shiny, as well as combining different kinds of figures made in R into interactive dashboards.
