$1.$ Analyze the data provided in FleetMaintenanceRecords to identify themes.

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

i$.$ Create a table called Parts Maintenance. Put this table in the database named after yourself.

ii$.$ Load the 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

$.$

iii. Answer the following questions and provide supporting screenshots.

a$)$ Which parts are being replaced most often?

$[$Insert your response and screenshot here.$]$

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

a$.$ Identify the region or regions with more reasons for the replacement of parts.

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

$[$Insert your response and screenshot here.$]$

c$)$ How might the fleet maintenance team use the information to update its maintenance schedule?

$[$Insert your response and screenshot here.$]$

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

$[$Insert your response here.$]$

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