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Interactive Data Visualization with Plotly in R

2019/2020
Учебный год
ENG
Обучение ведется на английском языке
3
Кредиты
Статус:
Курс по выбору
Когда читается:
2-й курс, 2 модуль

Преподаватель

Course Syllabus

Abstract

This blended course allows the student to deepen their expertise in data visualization methods using R by completing related courses in datacamp.com The course covering following topics: 1. Introduction to the Tidyverse (optional) https://www.datacamp.com/courses/introduction-to-the-tidyverse 2. Interactive Data Visualization with plotly in R https://www.datacamp.com/courses/interactive-data-visualization-with-plotly-in-r 3. Intermediate Interactive Data Visualization with plotly in R https://www.datacamp.com/courses/intermediate-interactive-data-visualization-with-plotly-in-r
Learning Objectives

Learning Objectives

  • Introduction to the programming language R, focused on a powerful set of tools known as the Tidyverse
  • Learn how to create and customize interactive graphics in plotly using the R programming language
  • Extend your understanding of plotly to create animated and linked interactive graphics, which will enable you to communicate multivariate stories quickly and effectively
Expected Learning Outcomes

Expected Learning Outcomes

  • Acquire knowledge and skills of structuring and visualizing data using Tidyverse and Plotly packages in R
Course Contents

Course Contents

  • Introduction to the Tidyverse
  • Intermediate Interactive Data Visualization with plotly in R
  • Interactive Data Visualization with plotly in R
  • Applying Plotly functions to the data visualization
Assessment Elements

Assessment Elements

  • non-blocking Datacamp
  • non-blocking Exam
    Final exam is consist of tasks were students are expected to apply method and functions of plotly package in R. Students might be asked to use data of their own research projects
Interim Assessment

Interim Assessment

  • Interim assessment (2 module)
    0.3 * Datacamp + 0.7 * Exam
Bibliography

Bibliography

Recommended Core Bibliography

  • - Роберт И., Кабаков — R в действии. Анализ и визуализация данных в программе R - Издательство "ДМК Пресс" - 2014 - ISBN: 978-5-97060-077-1 - Текст электронный // ЭБС Лань - URL: https://e.lanbook.com/book/58703
  • Andy Meyer. (2018). Using R and the Tidyverse to Generate Library Usage Reports. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.41E60AEE

Recommended Additional Bibliography

  • Daniel Kaplan. (2018). Teaching Stats for Data Science. The American Statistician, (1), 89. https://doi.org/10.1080/00031305.2017.1398107