Visualisations and Predictive Analytics Report

I just need the coding using R stedio not the full report.

Business Problem Identification

Clearly state the business problem in a single, bold sentence. This should be concise and specific, highlighting the core issue you aim to address.
Elaborate on the problem: Provide context and explain how you identified this problem. Discuss its significance and potential impact on the business. Why is it important to solve this problem? What are the potential benefits of finding a solution?

2. Data Preprocessing

Discuss potential data issues: Explain how you handled potential data issues such as errors, outliers, and missing values. Justify your approach. For example, if you removed outliers, explain why and mention the proportion of data removed.

3. Analysis and Visualization

Visualize data using ggplot2: Create four insightful visualizations using the ggplot2 package in R. Focus on quality over quantity, leveraging advanced features like facet_wrap() to create compelling and informative visuals.
Develop a predictive model: Identify the most relevant independent variables and develop a predictive model. Explore different iterations by including and excluding variables to improve accuracy.
Explain your model: Discuss the business implications of your predictive model. Analyze variable importance and interpret the model’s results in the context of the business problem.

4. Interpretation and Communication

Provide clear and concise interpretations: Explain the key findings from your analysis and visualizations.
Offer data-driven recommendations: Based on your analysis, provide specific and actionable recommendations to address the business problem. Clearly connect your recommendations to your findings and explain how they can help solve the problem.

Guidelines:

Some guidelines for completing the assessment are provided below.

Word Limit: 2000 words (+/- 10%) Note that anything beyond word limit will not be marked.

Font Size: 11pt or 12pt

Font Style: Calibri or Times New Roman

Document Margins: 2.5cm for top, bottom, left and right

Spacing: Single or 1.5 spacing

The report covers a wider audience, including management and business users as well as data analysts.

Use headings for each section and subsection (i.e. 1.0 Introduction, 1.1. Business Background, 1.2. Objectives, 2.0 Data Pre-processing, 3.0 Methodology, etc.).
Label the figures and tables in the report properly.
Use Appendix as you see fit.
Use References as you see fit. See next section about referencing guidelines.