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# Data Visualization Tools

2022/2023
Учебный год
ENG
Обучение ведется на английском языке
3
Кредиты
Статус:
Курс по выбору
Когда читается:
1-й курс, 4 модуль

### Course Syllabus

#### Abstract

The aim of the course is to familiarize students with methods of visualizing statistical data. The students will get acquainted with the main principles of the graphical representation of data to be applied both in academic research and in business reporting. They will learn how to create graphs of univariate and multivariate variables, correlation matrices, time series, infographics, geographical maps, and basic animations using statistical programming language R.

#### Learning Objectives

• By the end of the course, students should be able to use the tools of data visualization both in research (writing academic papers and presenting them at conferences) and in business (writing reports).

#### Expected Learning Outcomes

• - Distinguish time series from other data forms
• Knows methods of time series forecasting
• Be able to write a statistical analysis report
• perform time series data analysis
• Students will be able to routinely apply a variety of methods for explaining, summarising and presenting data and interpreting results clearly using appropriate diagrams, titles, and labels when required.
• Describe diagrams and processes.
• As a results, students should be able to selects appropriate model / method of statistical analysis for a given problem and they should know linear regression and correlation analysis
• Describing diagrams, tables, graphs, figures, etc.
• Write a statistical analysis plan
• Explain specifics of working with time series data.
• To develop skills in describing graphs, pie charts, tables, bar charts, maps, diagrams, processes
• Develop an appropriate model for the research question with time series data
• Identify the components present in a time series
• To be able to analyze data to create different document types
• Have an understanding of infographics, be able to work with graphic materials
• Ability to work with maps, analyze based on the territorial localization of economic objects
• Creation of short animation movies

#### Course Contents

• 1. Main principles of graphical representation of data
• 2. Univariate and multivariate variables, radar diagrams
• 3. Representation of statistical interdependencies
• 4. Representation of time series
• 5. Infographics
• 6. Representation of geographical information (maps)
• 7. Creation of short animation movies

#### Assessment Elements

• Seminar participation
• Research paper

#### Interim Assessment

• 2022/2023 4th module
0.7 * Research paper + 0.3 * Seminar participation