Clean irregularities in the raw data file to convert it into a proper CVS format.

Read data from the cleaned CVS file into a Pandas Data frame.

Convert between different Date$/$time formats.

Filter$/$restrict the rows and columns in Pandas Data frames to help answer the queries.

Use aggregation operations $($such as mean, median, sum, max$)$ and to summarize data.

Use group by to summarize data for various categories.

Create new columns that are computed based on other existing columns.

Demonstrate appropriate use of a variety of types of Plots to visualize data $($using Pandas$).$

All plots should have meaningful titles, axes labels and user$-$friendly data labels and be scaled large enough to easy see the details required.

Markdown headings should be added to clearly separate and explain each of the tasks and markdown should be provided to discuss$/$summarize the key observations.

Don$$t repeat yourself $$ use functions to avoid duplicating the same logic in multiple places.

Use programming best practice $$ write clear simple Python code and use well$-$chosen identified names for all variables and functions.