AP CSP - Unit 5 (code.org) Review

What is Open Data?

• Data that is kept private and not shared with the public.

• Data that is made available to the public for free, allowing anyone to use, analyze, and share it.

• Data that is only accessible to government agencies.

• Data that is sold to private companies for profit.

What does Google Trends measure?

• The number of websites indexed by Google

• The frequency of searches for specific terms over time, indicating public interest in those terms.

• The total number of users on Google

• The average time spent on Google search results

What is the purpose of data analysis?

• To create raw data

• To extract meaningful insights and patterns from raw data

• To store data in databases

• To visualize data without analysis

What is the difference between qualitative and quantitative data?

• Qualitative data represents numerical values, while quantitative data describes characteristics or qualities.

• Qualitative data describes characteristics or qualities, while quantitative data represents numerical values.

• Qualitative data is always more accurate than quantitative data.

• Quantitative data is subjective, while qualitative data is objective.

What is machine learning?

• A method of programming computers to perform tasks without human intervention.

• A subset of artificial intelligence that enables systems to learn from data and improve over time without explicit programming.

• A technique used to create static algorithms for data analysis.

• A process that requires constant human input to function effectively.

What is the role of algorithms in data processing?

• Algorithms are random guesses used to process data.

• Algorithms are step-by-step procedures or formulas used to process data and perform calculations.

• Algorithms are only used in programming languages.

• Algorithms are tools for visualizing data without processing it.

Why is data cleaning important?

• To ensure accuracy, completeness, and consistency in data analysis.

• To make data more visually appealing.

• To increase the size of the dataset.

• To reduce the time spent on data entry.

What is the purpose of data filtering?

• To enhance the visual appeal of data

• To remove unwanted or irrelevant data from a dataset to focus on specific information.

• To increase the size of the dataset

• To convert data into a different format

What is the significance of data visualization?

• Data visualization helps to present data in a graphical format, making it easier to understand and interpret.

• Data visualization is primarily used for data storage and management.

• Data visualization is a method for data encryption and security.

• Data visualization is only useful for large datasets and not for small ones.

What is a challenge when combining data from different sources?

• Different counties may organize data in different ways, making it difficult to combine datasets.

• All data sources use the same format, making combination easy.

• Data from different sources is always compatible and can be merged without issues.

• There are no challenges when combining data from different sources.