Code.org Unit 5 DATA Review

What is the term used to describe data about data?

• Data filtering

• Metadata

• Data bias

• Crowdsourcing

What does 'Citizen Science' refer to?

• A process that makes data uniform

• Research by individuals using their own devices

• A relationship between two pieces of data

• The extraction of data from a large population

What is the purpose of 'Cleaning Data'?

• To extract accurate patterns from data

• To make data uniform without changing its meaning

• To choose a smaller subset of data for analysis

• To collect data from a large number of people

What does 'Correlation' in data analysis mean?

• Data about data

• A scientific research method

• A relationship indicating variance between two data points

• A method to clean data

What is 'Crowdsourcing' in the context of data collection?

• Cleaning data to make it uniform

• Using public contribution to gather data via the Internet

• Choosing a smaller subset of data for analysis

• Research conducted by scientists only

What does 'Data bias' refer to?

• A method to filter data

• The inaccuracy in data that does not fully represent the studied phenomenon

• Data about data

• A type of correlation

What is the purpose of 'Data filtering'?

• To gather large amounts of data via crowdsourcing

• To research using citizen science

• To choose a smaller subset of data for detailed analysis

• To clean data without altering its meaning

The image is from Google Trends that plots Cats and Dogs.

Choose the most accurate description of what this data is actually showing based on what you know about how Google Trends works.

• People like dogs more than cats

• There was a sharp increase in the dog population sometime between 2014 and 2015

• People search for "dogs" more frequently than "cats"

• The popularity of dogs as pets is slightly increasing over time, while the popularity of cats is relatively flat

What is metadata?

• 
  Data that is about the data.

• Data that can change.

• Data that is everywhere.

• Data that needs filtered.

Recognizing patterns and similarities in data visualizations relates to which of the following about the data?

• Causation

• Metadata

• Correlation

• Filtering