visual analytics at Universität Passau

Flashcards and summaries for visual analytics at the Universität Passau

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Study with flashcards and summaries for the course visual analytics at the Universität Passau

Exemplary flashcards for visual analytics at the Universität Passau on StudySmarter:

Knowledge Discovery

Exemplary flashcards for visual analytics at the Universität Passau on StudySmarter:

Visualization

Exemplary flashcards for visual analytics at the Universität Passau on StudySmarter:

why is visualisation important?

Exemplary flashcards for visual analytics at the Universität Passau on StudySmarter:

Visual analytics is

Exemplary flashcards for visual analytics at the Universität Passau on StudySmarter:

Visual Analytics addresses topics from three research fields

Exemplary flashcards for visual analytics at the Universität Passau on StudySmarter:

Goals of Visual Analytics

Exemplary flashcards for visual analytics at the Universität Passau on StudySmarter:

what goals visual analytics pursue  

Exemplary flashcards for visual analytics at the Universität Passau on StudySmarter:

Data Transformation

Exemplary flashcards for visual analytics at the Universität Passau on StudySmarter:

Integrity

Exemplary flashcards for visual analytics at the Universität Passau on StudySmarter:

Graphical excellence

Exemplary flashcards for visual analytics at the Universität Passau on StudySmarter:

four basic dataset types to visualize 

Exemplary flashcards for visual analytics at the Universität Passau on StudySmarter:

These datasets are made up of different combinations of the five data types

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Exemplary flashcards for visual analytics at the Universität Passau on StudySmarter:

visual analytics

Knowledge Discovery

Knowledge Discovery in Databases is the process of identifying valid, novel, relevant, and interpretable patterns in huge data sets

visual analytics

Visualization

Visualization is the communication of information using graphical representations

visual analytics

why is visualisation important?

❑ Powerful human perceptual system for visual information 

❑ The visual system is the major human sense and gives a natural way for interacting with the data 

❑ Massive parallel information processing 

❑ Pre-attentive information processing - you know it, before you think of it 

❑ Searching for the needle in the haystack 

❑ Detecting hidden patterns vs. finding patterns you already know 

❑ Aggregating data and making it easily discoverable 

❑ External representations augment human capacity 

❑ Allows to see data in detail

visual analytics

Visual analytics is

Visual analytics is the science of analytical reasoning facilitated by interactive visual interfaces.

visual analytics

Visual Analytics addresses topics from three research fields

- Human Perception (Human Computer Interaction) 

- Data Mining and Knowledge Discovery 

- Information Visualization and Computer Graphics 

visual analytics

Goals of Visual Analytics

Visual Analytics brings together human intuition and background knowledge with data analysis power of machines for replacing human cognition with human perception

visual analytics

what goals visual analytics pursue  

❑ Record information 

❑ Analyze data to support reasoning 

❑ Confirm hypotheses 

❑ Communicate ideas to others

visual analytics

Data Transformation

Data Transformation refers to the process of converting raw data in normalized, most often tabular, format (see Unit On the Data) that will be analyses and visualized. – Data selection - select appropriate data points from a data source (e.g. records in a database, documents from the web) – 

Format normalization - harmonize heterogeneous formats (e.g. PDF, HTML, DOC ⇒ text) – 

Data Preprocessing - extracting attributes (see Unit On the Data) – Data Mining provides a variety of methods for analyzing data, aggregating data sets and reducing the dimensionality for visualization

visual analytics

Integrity

Integrity should ensure that the true data is shown, and only the data

visual analytics

Graphical excellence

Graphical excellence should ensure a clear, unambiguous and proper visualization

visual analytics

four basic dataset types to visualize 

tables, networks, fields, and geometry

visual analytics

These datasets are made up of different combinations of the five data types

items, attributes, links, positions, and grids. 

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