Code.org U5 Understanding Data and Its Biases

What is metadata?

• Data that has been cleaned and filtered

• Data about data

• Data that shows correlation

• Data used in machine learning

What is the process of making data uniform without changing its meaning called?

• Data Filtering

• Data Bias

• Cleaning Data

• Crowdsourcing

Which of the following best describes data filtering?

• Choosing a smaller subset of a data set for analysis

• Extracting patterns from data

• Conducting research using citizen science

• Identifying algorithmic bias

What is correlation?

• A process of cleaning data

• A relationship between two pieces of data

• A type of metadata

• A form of data bias

What is citizen science?

• Data cleaning by professionals

• Scientific research conducted by distributed individuals

• A method of filtering data

• A type of algorithmic bias

What does crowdsourcing involve?

• Obtaining input from a small group of experts

• Using algorithms to clean data

• Obtaining input from a large number of people via the Internet

• Filtering data to remove bias

What is data bias?

• Data that accurately reflects the full population

• Data that does not accurately reflect the full population

• Data that has been cleaned and filtered

• Data used in citizen science

Which lesson focuses on exploring two columns of data?

• Lesson 1

• Lesson 2

• Lesson 4

• Lesson 6

What is the main focus of Lesson 5?

• Machine Learning

• Big, Open, and Crowdsourced Data

• Filtering and Cleaning Data

• Algorithmic Bias

Which lesson discusses algorithmic bias?

• Lesson 3

• Lesson 5

• Lesson 6

• Lesson 7