Data Analytics U3AOS1

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Across
  1. 6. Requirement describing how a solution should perform.
  2. 8. Artificial intelligence technique that learns from data to make predictions and recommendations.
  3. 10. Statistical measure describing the relationship between two variables.
  4. 11. Visual representation used to communicate information and trends.
  5. 13. Structured Query Language used to manage and retrieve data from databases.
  6. 14. Interactive visualisation displaying information from one or more datasets.
  7. 15. SQL operation used to combine matching records from related tables.
  8. 16. Database field used to create a relationship between tables.
  9. 18. Database field used to uniquely identify a record.
  10. 19. Design tool used to plan a database query before implementation.
  11. 20. Requirement describing what a solution must do.
Down
  1. 1. Graphical representation of data to communicate insights and information.
  2. 2. Process of finding and correcting errors in data.
  3. 3. Technology that enables systems to perform tasks that normally require human intelligence.
  4. 4. Design document describing fields, data types and characteristics of data.
  5. 5. Statistical measure showing how spread out data values are around the mean.
  6. 7. Validation technique that checks whether entered data falls within acceptable limits.
  7. 9. Visual planning tool used to sequence screens, interactions or user experiences.
  8. 12. Arrangement of visual elements to guide a user's attention and improve communication.
  9. 17. The process of checking data for accuracy and reasonableness.