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WorksheetsAP CSP - Unit 5 (code.org) Review
Total questions: 15
Worksheet time: 45mins
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.
What is a data set?
A data set is a collection of unrelated data points.
A data set is a collection of related data points or values, often organized in a table or database.
A data set is a type of software used for data analysis.
A data set is a graphical representation of data.
What is the importance of data privacy?
To enhance data accessibility for everyone.
To protect individuals' personal information from unauthorized access and misuse.
To increase the amount of data collected by companies.
To ensure that all data is publicly available.
What is metadata?
Data that provides information about other data, such as its source, format, and context.
A type of software used for data analysis.
A method of data encryption.
A database management system.
What is Citizen Science?
A method of scientific research conducted solely by professionals.
Public participation in scientific research, often through data collection and analysis.
A type of science that only involves government agencies.
A scientific approach that excludes public involvement.
What does it mean for data to be incomplete?
Incomplete data refers to datasets that are missing values or information necessary for analysis.
Incomplete data refers to datasets that are fully populated with values.
Incomplete data refers to datasets that have been corrupted and cannot be used.
Incomplete data refers to datasets that are only partially analyzed.
