Unit 5: Data

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