OpenILIAS Uni Göttingen
Bringing Data to the Point: Online Course on Data …
Bringing Data to the Point. Online Course on Data Visualisation.
Selbstlernangebote für Studierende zu digitalen Kompetenzen
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Selbstlernangebote für Studierende zu digitalen Kompetenzen
Bringing Data to the Point. Online Course on Data Visualisation.
Bringing Data to the Point: Online Course on Data …
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Bringing Data to the Point: Online Course on Data Visualisation
Welcome
Welcome
License Information
Chapter 1: Functions of Visualisation – Why Is Information Visualised?
Chapter 1
Learning Objectives (1/12)
We Are Visual Beings (2/12)
Classic Examples of Information Visualisation I (3/12)
Classic Examples of Information Visualisation II (4/12)
Purpose of Visualisation (5/12)
Functions of Visualisation in Everyday Learning/Teaching (6/12)
Information Visualisation versus Scientific Visualisation (7/12)
Information Visualisation in the Process of Research (8/12)
Data in Visualisation Process (9/12)
Aspects of Information Visualisation 10/12)
Quiz: InfoVis versus SciVis (11/12)
Review of the Learning Objectives (12/12)
Chapter 2: Forms of Visualisation – What Forms of Representation Are Suitable for My Data?
Chapter 2
Learning Objectives (1/28)
Implementing Visualisation (2/28)
Requirements of Visualisation (3/28)
Number of Dimensions (4/28)
Forms of Representation (5/28)
Vertical Bar Chart (6/28)
Horizontal Bar Chart (7/28)
Line Graph (8/28)
Quiz: Reading charts (9/28)
Scatter Plot (10/28)
Bubble Chart (11/28)
Box Plot (12/28)
Word Cloud (13/28)
Pie Chart (14/28)
Network Graph / Tree Diagram (15/28)
Map (16/28)
Geographic Information System (17/28)
Infographic (18/28)
Interactive Visualisation (19/28)
Interactive Timeline (20/28)
Complex Visualisations (21/28)
Quiz: Chart Memory (22/28)
General Visualisation Tools (23/28)
Visualising with Excel (24/28)
Tools for Simple Graphics (25/28)
Programming Languages for Complex Visualisations (26/28)
Quiz on Chapter 2 (27/28)
Review of the Learning Objectives (28/28)
Chapter 3: Organisation and Design – How Do I Bring My Data into Focus?
Chapter 3
Learning Objectives (1/29)
Graphic Design (2/29)
Data in Focus (3/29)
Overloaded vs Clear Design (4/29)
Chartjunk (5/29)
Avoiding Chartjunk (6/29)
Design Laws (7/29)
Separating Figures from Background (8/29)
Ambiguous Images (9/29)
Proximity (10/29)
Similarity / Equivalence (11/29)
Simplicity (12/29)
Quiz: Symmetry (13/29)
Unity (14/29)
Continuity (15/29)
Quiz: Visual Weight (16/29)
Good Charts According to Tufte (17/29)
Quiz: Perception of Colour (18/29)
Use of colours (19/29)
Interaction of Several Colours (20/29)
Grey, the New Colour (21/29)
Shades of Grey (22/29)
Text and Language (23/29)
Captions (24/29)
Font (25/29)
More Tips and Examples (26/29)
Data Backup and Vector Graphics (27/29)
Final Quiz Chapter 3 (28/29)
Review of the Learning Objectives (29/29)
Chapter 4: Critical Information Visualisation – How Do I Make the Process Transparent?
Chapter 4
Learning Objectives (1/13)
Visualisations Can Manipulate (2/13)
Good Scientific Practice (3/13)
Principles of Good Scientific Practice (4/13)
Transparency of the Visualisation Process (5/13)
Referencing (6/13)
Publishing Data (7/13)
Citing and Storing Data (8/13)
Uncertain Data (9/13)
Manipulative Representations (10/13)
Tips for Accurate Representation (11/13)
Review of the Leaning Objectives (12/13)
What next? (13/13)
References
References
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Bringing Data to the Point: Online Course on Data Visualisation
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