12ENC - 2.3.3

Front

What is the purpose of data visualisation?

Back

Data visualisation transforms raw data into visual formats like charts, graphs, and dashboards, allowing users to interpret and understand complex information quickly.

Front

Why is evaluating the effectiveness of data visualisations important?

Back

Evaluating effectiveness ensures that users can understand and engage with the data meaningfully, meeting their needs.

Front

What criteria should be developed for evaluating data visualisations?

Back

Criteria should focus on clarity, usability, accuracy, accessibility, efficiency, aesthetics, and context.

Front

What is heuristic evaluation in the context of data visualisation?

Back

Heuristic evaluation involves using practical problem-solving approaches or rules of thumb to guide the design and evaluation of visualisations, based on widely accepted best practices.

Front

What are some of Jakob Nielsen's 10 Usability Heuristics for User Interface Design?

Back

1. Visibility of system status 2. Match between system and the real world 3. User control and freedom

Front

What are some heuristic principles for data visualisation?

Back

1. Avoiding chartjunk 2. Using consistent scales and axes 3. Ensuring appropriate colour usage

Front

What is the first step in developing criteria for evaluating data visualisations?

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Understanding user needs, including the target audience, key insights sought, and how the visualisation will be used.

Front

What aspects should be considered for clarity in data visualisation?

Back

1. Ease of understanding 2. Accurate and appropriate labelling 3. Visual matching the data’s purpose

Front

What aspects should be considered for usability in data visualisation?

Back

1. Ease of navigation and interpretation 2. Responsiveness on different devices

Front

What aspects should be considered for accuracy in data visualisation?

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1. Accurate representation of data 2. Up-to-date and reliable data