Data Analytics & Modelling

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Across
  1. 7. Different classifications of data (e.g., numerical, categorical)
  2. 9. Organizing data for efficient retrieval
  3. 10. ____data collected over several time periods
  4. 12. Assigning numbers to represent characteristics of data
  5. 13. Data analysis type that summarizes and describes data
  6. 15. ____ as process involves the orderly and systematic assignment of each entity to one and only one class within a system of mutually exclusive and nonoverlapping classes
  7. 16. If the graph has a shorter tail and a flat top, then Kurtosis is said to be _____.
  8. 17. ______ measures the deviation of the given distribution of a random variable from a symmetric distribution
  9. 18. Grouping data into relevant classes
  10. 21. A data set that is countable and designates a feature or attribute of an object is called a ______.
Down
  1. 1. _____ in statistics are quantitative measures (or a set of statistical parameters) that describe the specific characteristics of a probability distribution
  2. 2. In _____, we use tables, charts, graphs, and excel files, among other representational techniques, to describe our data.
  3. 3. Data analysis that identifies causes of problems
  4. 4. average squared deviation from the mean
  5. 5. Different ways to analyze data
  6. 6. It is the value that has the highest frequency in the given data set.
  7. 8. The entities on which data are collected
  8. 11. _____ analytics models are designed to assess historical data, discover patterns, observe trends, and use that information to predict future trends.
  9. 14. Sum of observations divided by the total number of observations
  10. 19. To examine and interpret data
  11. 20. _____ analysis helps us establish a relationship between two variables which helps us make better decisions