Earning Criteria

• Create a Python script that analyzes financial records of a fictitious company and prints the results to the terminal as well as exports a text file. Create a Python script that analyzes poll data from multiple counties and prints the results to the terminal as well as exports a text file with the results.
• Create one of two challenges: create a report using Python Pandas to analyze purchasing data from a gaming company’s fantasy game, or create a report using Python Pandas to analyze a school district’s standardized test results and showcase trends in school performance.
• Create one of two challenges using Matplotlib, Pandas, and Jupyter Notebook: create bubble plots and pie charts that showcase relationships between key variables and city types for a ride-sharing company, or create a scatter plot and bar graphs that show results between different treatments from a pharmaceutical company’s most recent animal study.
• Create a representative model of weather across world cities using either Matplotlib or Pandas and the OpenWeatherMap API.
• Demonstrate appropriate methodologies for data importing and preprocessing, such as data type-casting and text sanitization.
• Demonstrate clean coding techniques such as abstraction of functions, commenting, and effective git commit messages.
• Demonstrate consideration of code efficiency.