Unit 5: Data
Across
- 2. A type of chart used to compare the frequency or count of different categories using rectangular lengths.
- 6. A chart that groups data into "buckets" or ranges to show how frequently certain values occur.
- 7. The initial set of data used to help a machine learning model identify patterns and "learn" before it is tested.
- 8. The process of fixing or removing incorrect, corrupted, incorrectly formatted, or incomplete data within a dataset.
- 10. The broader field of computer science aimed at creating systems capable of performing tasks that typically require human intelligence.
- 13. A relationship between two variables, though it does not necessarily mean that one caused the other to happen.
Down
- 1. A type of AI where an algorithm "learns" to make predictions by identifying patterns in a training dataset.
- 3. A precise, step-by-step set of instructions or rules followed by a computer to solve a problem or complete a task.
- 4. Research where the public helps collect data using their own devices to solve scientific problems.
- 5. Data that describes other data (e.g., the time a photo was taken or the file size of a document).
- 8. A table (short for cross-tabulation) used to find a relationship between two specific categories of data, like "Grade Level" vs. "Favorite Snack."
- 9. A type of graph used to find a relationship or "trend" between two different columns of data.
- 11. The practice of obtaining input, information, or services from a large number of people, usually via the internet.
- 12. Publicly available data shared by governments or organizations (e.g., city budget records) for anyone to analyze.