In this project, you will demonstrate your mastery of the following competencies:
You are a data analyst working for a real estate company based in Seattle. You have access to a large set of historical data that you can use to analyze patterns between different attributes of a house (such as square footage and number of bathrooms) and the house’s selling price. You have been asked to create different regression models that can be used to predict a house’s selling price based on different factors. These regression models will help your company set better prices when listing a home for a client. You will use the R programming language to perform the statistical analyses and then prepare a report of your findings. Since your report will be read by different stakeholders within your real estate company, you will need to interpret your findings and describe their practical implications.
Note: This data set has been “cleaned” for the purposes of this assignment.
Harlfoxem. (2016). House Sales in King County, USA [Data file]. Retrieved from https://www.kaggle.com/harlfoxem/housesalesprediction
To complete this project, you must submit the following:
Your Jupyter Notebook R script contains all the statistical analyses you completed for this project. Download your work as an HTML file. Review the file to make sure that every step and all your outputs are included. Submit the HTML file as part of your submission. Review the Jupyter Notebook in Codio Tutorial in the Supporting Materials section if you need help.
Use the provided template to create your summary report. The template contains guiding questions to help you complete each section. Be sure to remove these questions before submitting your report. Your summary report should be submitted as a 3– to 5–page Microsoft Word document. It should include an APA-style cover page and APA citations for any sources used. Use single spacing, 11-point Calibri font, and one-inch margins.
The following resource(s) may help support your work on the project:
Document: Jupyter Notebook in Codio Tutorial
This tutorial will help you become familiar with the Jupyter Notebooks interface. You will learn how to open, complete, save, and download your Jupyter Notebook for this project.
Shapiro Library: APA Style Guide
This guide will help you format your cover page and references according to APA style. You are not required to use external resources for this project. However, if you do use any resources, you must cite them in APA format.
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