Data Visualization at Universidade Nova De Lisboa | Flashcards & Summaries

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Lernmaterialien für Data Visualization an der Universidade Nova de Lisboa

Greife auf kostenlose Karteikarten, Zusammenfassungen, Übungsaufgaben und Altklausuren für deinen Data Visualization Kurs an der Universidade Nova de Lisboa zu.

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Why is DV important?

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Provides an alternative or a supplement for textual or verbal information. Also, Visualization can affect decision making.

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What is DV?

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Is the communication of information using graphical representations.

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What's the difference of LOD expressions and Table Calculations?

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LOD expressions allow us to compute values at the data souce and the visualization level.

Table Calculations only allow us to compute values at visualization level.

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What are the 3 main reasons for visualizing data?

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Confirmation

Education

Exploration

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What are the datatypes?

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Categorical

Ordinal 

Quantitative (numerical, continuous, discrete)

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What is the core idea of DV?

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Mapping the data to visual variables.

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What is the ultimate purpose of DV?

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Understanding the data (not just seeing it), allowing the user to make informed decisions.

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Why Stats is not enough? What about DV?

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Stats just show some properties patterns (similar patterns, don't always mean similar data). 

Visualizations can also distort the "truth" (it has to be done with quality).

*Visualizations need to start with quality information (and Stats).

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When is DV necessary and not necessary?

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It's necessary whenever there's a human.

It's not necessary when there's no data or no end user to understand the data. 

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What are the data pre-processing major problems and what techniques we use to solve them?

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Problems: missing data, erroneous data (outliers)

Techniques: 

 -Missing values: discard the bad records, assign the average or negative value

-When dimensional exceeds the capacity: PCA, ...

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What are the modes of DV?

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Interactive Visualization (discovery)

Interactive Storytelling (presentations)

Presentation Visualization (communication/show)

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What are the concerns of DV?

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Visualization Designs can be ineffective. There's a need to understand which are the best for specific circumstances, in order to get the right answers for the problem.

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Beispielhafte Karteikarten für deinen Data Visualization Kurs an der Universidade Nova de Lisboa - von Kommilitonen auf StudySmarter erstellt!

Q:

Why is DV important?

A:

Provides an alternative or a supplement for textual or verbal information. Also, Visualization can affect decision making.

Q:

What is DV?

A:

Is the communication of information using graphical representations.

Q:

What's the difference of LOD expressions and Table Calculations?

A:

LOD expressions allow us to compute values at the data souce and the visualization level.

Table Calculations only allow us to compute values at visualization level.

Q:

What are the 3 main reasons for visualizing data?

A:

Confirmation

Education

Exploration

Q:

What are the datatypes?

A:

Categorical

Ordinal 

Quantitative (numerical, continuous, discrete)

Mehr Karteikarten anzeigen
Q:

What is the core idea of DV?

A:

Mapping the data to visual variables.

Q:

What is the ultimate purpose of DV?

A:

Understanding the data (not just seeing it), allowing the user to make informed decisions.

Q:

Why Stats is not enough? What about DV?

A:

Stats just show some properties patterns (similar patterns, don't always mean similar data). 

Visualizations can also distort the "truth" (it has to be done with quality).

*Visualizations need to start with quality information (and Stats).

Q:

When is DV necessary and not necessary?

A:

It's necessary whenever there's a human.

It's not necessary when there's no data or no end user to understand the data. 

Q:

What are the data pre-processing major problems and what techniques we use to solve them?

A:

Problems: missing data, erroneous data (outliers)

Techniques: 

 -Missing values: discard the bad records, assign the average or negative value

-When dimensional exceeds the capacity: PCA, ...

Q:

What are the modes of DV?

A:

Interactive Visualization (discovery)

Interactive Storytelling (presentations)

Presentation Visualization (communication/show)

Q:

What are the concerns of DV?

A:

Visualization Designs can be ineffective. There's a need to understand which are the best for specific circumstances, in order to get the right answers for the problem.

Data Visualization

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