Prepare a report (in Word or PDF format) in which you describe the identified datasets. For each data dataset,
1. Include a hyperlink to the website where the dataset was downloaded.
2. Explain the dataset type (whether the dataset is in the form of a table, network, tree, field, geometry, cluster, set, or list – see textbook Section 2.4, Page 24).
3. Explain data types (whether the data in the dataset is in the form of items, attributes, links, positions, or grids – see textbook Section 2.3, Page 23).
4. Explain the number of attributes/dimensions, the attribute types and semantics of the data (i.e., the real-world meaning of the data, see textbook Sections 2.5-2.6, Page 31).
5. Document the preprocessing procedure you performed on the original datasets (possible preprocessings include subsetting – reduction of some records and removal of some attributes, dealing with incomplete records, computation of average values, etc.) to produce a more effective visualization of some attributes.
6. Include into the report the visualization figures of the data and your best explanation of trends/patterns/outliers discovered through data visualization.
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