Analyze the data provided in FleetMaintenanceRecords to identify themes. Gather the following guiding information:

Review part$-$replacement frequencies and types. Then create a hypothesis that the fleet management team can use to better handle vehicle maintenance.

Create a table called Parts Maintenance and load the data into it$.$ Put this table in the database named after yourself.

Load this data set from the $/$home$/$codio$/$workspace$$ path and run queries to find the results. You should use the following line terminators when importing: $\backslash$r

$.$

Then answer the following questions and provide supporting screenshots.

Which parts are being replaced most often?

Which region or regions of the country experience more part failures and replacements than others?

Identify the region or regions $($Northeast$,$ Southeast, Midwest, Northwest, Southwest$)$ with more reasons for the replacement.

Use the Region Definitions sheet to identify states in each region.

How might the fleet maintenance team use the information to update its maintenance schedule? Your response should be supported by the data you$$ve found.

Which parts are being replaced most often due to corrosion or rust?

Which parts are being replaced most often because of mechanical failure or an accident like a flat tire or rock through the windshield?

Write a brief summary of your analysis that takes the information from step one and presents it in a way that nontechnical stakeholders can understand.

Outline the approach that you took to conduct the analysis.

What queries did you use to identify trends or themes in the data?

What are the benefits of using these queries to retrieve the information in a way that allows you to provide valuable information to your stakeholders?

Explain how the functions in the analysis tool $($MySQL$)$ allowed you to organize the data and retrieve records quickly.