Overview
You have a job interview. They have given you the task of writing a summary that explains how you would write a report for one of their clients. They also want you to give a brief explanation justifying the approach you took.
Directions
The potential employer would like you to use a data set called FleetMaintenanceRecords to complete an analysis of data and summarize your findings using clear language for a nontechnical audience. They’ve asked you to find themes that can be used to help them manage their fleet of trucks. Create a summary of the analysis you conducted that you would use to communicate the findings to stakeholders. Place the deliverables for your instructor and the potential employer in the Analysis and Summary Template.
Analyze the data you’ve been provided to identify themes. Gather the following guiding information:
Review part-replacement frequencies and types and create a hypothesis that can be used by the fleet management team to better deal with vehicle maintenance. You’ll need to 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.
Which parts are being replaced most?
Is there a region of the country that experiences more part failures and replacements than others?
Can you identify a region (Northeast, Southeast, Midwest, Northwest, Southwest) that has more reasons for 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 due to corrosion or rust?
Which parts are being replaced because of mechanical failure, like a flat tire or rock through the windshield?
Write a brief summary of your analysis that takes the information from Step 1 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?
Lastly, explain how the functions in the analysis tool (MySQL) allowed you to organize the data and retrieve records quickly.
What to Submit
Submit your responses using the Analysis and Summary Template. Each screenshot and its explanation should be sized to approximately one quarter of the page, with a description written below the screenshot. After you download the template, rename your copy by adding your last name to its file name. This will help organize your work once it has been submitted.
Supporting Materials
The following resource supports your work on this assignment:
Document: Region Definitions
Use the definitions of United States regions in this document to assist with this activity.
Struggling with where to start this assignment? Follow this guide to tackle your assignment easily!
Guide to Structuring Your Report for the Job Interview Task
- Understand the Task:
The goal is to use a dataset called FleetMaintenanceRecords to conduct an analysis and summarize your findings for a nontechnical audience, specifically stakeholders such as a fleet management team. They want you to identify themes from the data to help improve fleet maintenance and management. - Approach to Conducting the Analysis:
Start by reviewing the data set carefully. This analysis will focus on identifying key trends related to vehicle part failures and replacements. You will look for patterns in part-replacement frequencies, types, and regional differences. - Set Up the Database:
- Create the Table: First, you will create a table called Parts Maintenance and load the data into this table within a database named after yourself. Use the correct path (
/home/codio/workspace) to load the data. - Run Queries: Use SQL queries to analyze the dataset, which will help you identify patterns and themes. For instance, you may need to run queries to answer questions like:
- Which parts are being replaced most?
- Are there regions that experience more part failures?
- Which parts are replaced due to corrosion or rust vs. mechanical failure?
- You will use MySQL to run these queries efficiently.
- Create the Table: First, you will create a table called Parts Maintenance and load the data into this table within a database named after yourself. Use the correct path (
- Writing the Summary:
Once you’ve conducted your analysis, it’s time to summarize your findings in clear, nontechnical language. Use the following steps:- Identify Key Findings: Discuss the parts that are replaced most frequently, the regions with the highest replacement rates, and the causes of these replacements (corrosion, mechanical failure, etc.).
- Suggest How the Fleet Maintenance Team Can Use the Data: Based on the data, recommend ways the fleet management team can adjust their maintenance schedules, such as prioritizing certain parts or regions with higher replacement rates.
- Use Simple Language: Since the audience is nontechnical, focus on communicating trends and actionable insights in a straightforward manner.
- Outline Your Approach:
- Explain Your Queries: Clearly outline the SQL queries you used to extract trends from the data. For example, you could explain how you used queries to identify the most frequently replaced parts or to filter data by region.
- Why These Queries are Useful: Mention that the benefit of using these queries is that they allow you to organize and retrieve specific data points quickly, which makes it easier to draw actionable conclusions.
- Discuss MySQL Functions: Explain how MySQL functions helped you retrieve and organize the data. For example, using SELECT statements, JOINs, and GROUP BY can help you filter the information based on part types, regions, and failure reasons.
- Prepare the Analysis and Summary Template:
- After conducting your analysis, use the provided Analysis and Summary Template to document your findings and explanations. Insert relevant screenshots of your queries and the resulting data, with each screenshot sized to approximately one quarter of the page.
- Description Below Each Screenshot: For each screenshot, provide a brief description of what the screenshot shows, such as the query used or the trend identified.
- Final Touches:
- Once you’ve completed the analysis and summary, rename your file with your last name for proper organization.
- Review your work for clarity and ensure it is organized in a way that nontechnical stakeholders can easily understand.
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