Identify three different time-oriented/series datasets. You may consider any data sources,

Use Python to visualize data in each dataset and explore trends/patterns. When you do visualization of your datasets, consider applying above two criteria: 1. Mapping of time and 2. Dimensionality of the presentation space

• Prepare a report (in Word or PDF format) in which you describe the identified datasets. For each data dataset,

1. 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).
2. Explain data types (whether the data in the dataset is in the form of items, attributes, links, positions, or grids see textbook Section 3, Page 23).
3. Explain 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).
4. Include into the report the visualization figures of the data and your best explanation of trends/patterns discovered through data visualization.