Final Team Project: BUSI $650-$ Spring $2024$

Case Study Overview

Dataset: Fire Incidents

Description: This dataset includes fire incidents as classified by the Ontario Fire Marshal $($OFM$)$ up to December $31,2021.$ It provides detailed information on fire incidents to which the Toronto Fire Service $($TFS$)$ responds. The data format aligns with the OFM's reporting requirements but is modified to protect privacy; exact addresses are aggregated to the nearest intersection, and some data is excluded or anonymized according to the Municipal Freedom of Information and Protection of Privacy Act $($MFIPPA$).$

Note: Some incidents may lack complete data due to ongoing investigations or classification as no loss outdoor fires.

Project Focus Areas

$1.$ Data Analysis:

o Provide a summary of the key statistics for the dataset.

o Perform exploratory data analysis $($EDA$)$ to uncover any patterns or insights. Include visualizations to support your findings.

o Identify any significant correlations between variables.

$2.$ Feature Engineering:

o Create and calculate a new feature based on the provided data. Be creative in your approach and justify your choice.

o Explain how this new feature adds value to your analysis.

$3.$ Regression Model:

o Choose a target variable for your regression analysis.

o Build a regression model to predict the chosen target variable. Explain your choice of features and the rationale behind your model selection.

o Evaluate the performance of your regression model. Discuss metrics such as R$-$squared, Mean Absolute Error, or Mean Squared Error.

$4.$ Dashboard Creation:

o Create an interactive dashboard in Tableau that visualizes key insights from your analysis.

o Ensure your dashboard includes at least three interactive elements $($e$.$g$.,$ filters, tooltips, parameters$).$

o Explain how your dashboard can be used to make data$-$driven decisions.

$5.$ Report Presentation:

o Compile your findings, analysis, and visualizations into a comprehensive report.

o Provide actionable recommendations based on your analysis.

o Reflect on the limitations of your analysis and suggest potential improvements for future studies.

Grading Rubric

Key Points Grade Allocation $(\%)$

Format $($font type, size, table, formulas$)10$

Analysis $($Tableau$/$ Excel$)$ including the link to Tableau Public $50$

Overall content, including references if required $($APA Style$)10$

Creativity in the results $10$

Presentation $20$

Submission:

One team member from each group must submit:

$1.$ A Word report file

$2.$ A PowerPoint presentation

$3.$ The Tableau dashboard link

Deadline: As posted in the Portal