Final Project: Problem Statement

At this point, you have completed four weeks of intensive training in statistical analysis using the Python

programming language. You know the concepts of statistics and how to apply them to datasets in Python

on the Jupyter Notebook. Having gone through multiple assessments at regular intervals, you got to apply

and reinforce your learnings as well. Now it's time to collate your learnings from all four weeks and

summarize them in the form of a comprehensive final project.

Problem Statement

Use the Jupyter Notebook in Python to conduct data analysis on the US COVID$-19$ dataset. The

components that you should touch upon in this analysis have been outlined below.

Conduct exploratory data analysis: Identify the data types, conduct data cleansing and modification $($as needed$),$

and obtain information regarding data types.

Conduct descriptive data analysis: Calculate the mean, median, and range of data during the period provided in

the US$.$ Make use of tables, graphs, plots, and charts to showcase your results for the top twenty $(20)$ states,

based on the highest number of cases reported. Provide a brief interpretation of your results.

Note: Do not print the actual data $($points will be deducted for printing data$).$

Carry out a trend analysis over the period provided, for the US as well as for the top three $(3)$ states.

Make use of graphs$/$plots to showcase the same; also, build a combined plot to compare the US

against the top three $(3)$ states. Provide a brief interpretation of your results in the end.

Calculate the weekly rolling average for the new cases in the US$.$ Also, provide a brief interpretation

of the results.

Write a brief interpretation of your results in each case and summarize your observations at the very

end.

Note:

Your code and plots should be embedded within your report.

Do not forget to provide brief comments at the end of each section and concluding remarks at the very end,

interpreting the results of your analysis.

Submit your answers in a single HTML document. Do not cut and paste screenshots; they will not be considered.

Dataset

The dataset for the project is given below.