10 CT Analysing data Wk5 PostQuiz

Which technological development made real-time analytics on high-volume data streams commercially practical?

• COBOL programming (1960s)

• Relational databases (1970s)

• Desktop spreadsheets (1980s)

• In-memory distributed processing (2010s)

During which phase did self-service Business Intelligence (BI) tools first let non-programmers create their own dashboards?

• Mainframe batch processing

• Client-server BI platforms

• Cloud-native data lakes

• Edge-AI inference

A key driver behind the shift from descriptive to predictive analytics was:

• The falling cost of magnetic-tape storage

• The need to anticipate customer behaviour for competitive advantage

• The Y2K remediation programs

• The introduction of paper-based recordkeeping laws

Which pairing best matches a people-centred need with the analytic opportunity that satisfied it?

• Government census ➔ SQL queries

• Personal fitness tracking ➔ Mobile sensor analytics

• Manual payroll ➔ Spreadsheets

• Meteorology ➔ Paper charts

The growth of citizen-science projects such as GalaxyZoo illustrates which recent trend in data analysis?

• Outsourcing computation to mainframes

• Crowdsourced pattern recognition using web platforms

• Exclusive reliance on proprietary data

• Replacing visualisation with raw tables

According to the Gestalt principle of similarity, a visualisation should group data points by:

• Alphabetical order

• Dataset file size

• Shared visual attributes such as colour or shape

• Network bandwidth requirements

Which pre-attentive attribute is most effective for conveying quantitative magnitude at a glance?

• Length/position along a common scale

• Hue saturation

• Shape orientation

• Animation speed

A "data trail" is best defined as

• a blocked third-party cookie

• the sequence of digital footprints a user leaves across services

• a network routing table

• an off-line archive of barcode scans

In the context of ownership of data, the term "data portability" refers to

• encrypting a database at rest

• the right to move personal data between service providers

• converting JSON to CSV

• buying anonymised datasets

Which visualisation violation is most likely to mislead through "dual-axis deception"?

• Omitting a legend

• Using two different y-scales on the same chart without clear labelling

• Employing a monochrome palette

• Annotating outliers