| Educational guide School of Engineering |
english |
| Computer Security Engineering and Artificial Intelligence (2016) |
 Subjects |
| INTERACTIVE AND VISUALISATION SYSTEMS |
| Contents |
| IDENTIFYING DATA | 2020_21 |
| Subject | INTERACTIVE AND VISUALISATION SYSTEMS | Code | 17685206 | |||||
| Study programme |
|
Cycle | 2nd | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 3 | Optional | 2Q |
||||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Topic | Sub-topic |
| Introduction to Data Visualization | What is Data Visualization? Why is Data Visualization so important? What is Data Visualization useful for? The problem of Data Visualization Types of Data Visualization |
| Graphical Perception | The elementary perceptual tasks |
| Graphical Excellence, Integrity and Sophistication | The principles of Graphical Excellence The principles of Graphical Integrity Graphical Distortion The lie factor The principles of Graphical Sophistication The data-ink ratio Data density Proportion and scale |
| Statistical traps | Summary statistics Quoting data out of context Incorrect normalization of the data Jumping to the wrong conclusions The Simpson's paradox |
| Plots | Types of plots How to choose the type of plot according to your data and purpose Common mistakes with plots |
| Introduction to R and ggplot2 | The basics of R The layered grammar of graphics |
| ggplot2 (I) | Basic plots Displaying distributions Overplotting Annotations and themes |
| ggplot2 (II) | Custom plots Interactive and animated plots Drawing maps |
