You are required to identify and carry out a series of analyses of a large dataset utilizing appropriate programming languages, programming environments and database systems.
- Datasets must be programmatically stored in appropriate database(s) prior to processing.
- Programmatic pre-processing, transformation, analysis and visualization of the data.
- Programmatically storing the processed output data in appropriate databases.
For example, you may use Python to programmatically retrieve a semi-structured dataset (XML, JSON, CSV, web-scraped or streaming data) and store this data in PostgreSQL/MongoDB. Read the data from DB to-process and transform it. Use Python or R to conduct further analysis of the data to find interesting patterns and generate visualization plots for better presentation of the results.
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