Data types

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Across
  1. 5. the exact copy of simething else
  2. 8. text-based data
  3. 10. Unordered collections of unique elements
  4. 12. specifically designed to handle binary data, including files, multimedia, and network packets
  5. 13. ordered collections of elements
Down
  1. 1. ...a value
  2. 2. Numbers with decimal points or in exponential form.
  3. 3. the quality of being whole and complete
  4. 4. clear and exact
  5. 5. integral to data science workflows, enabling tasks like filtering, grouping, merging, and aggregating large datasets
  6. 6. Ordered, immutable collections of items
  7. 7. changeable
  8. 9. Whole numbers, positive or negative, without a fractional component.
  9. 11. logical values, either True or False