syedissambukhari / landscaping-business-analytics-visualization

IT contains data analysis and visualizations aimed at improving a landscaping company's revenue and customer satisfaction. The project addresses two sub-goals: increasing revenue and improving customer satisfaction. Four visualizations are provided, each contributing insights toward achieving these objectives.

Landscaping-Business-Analytics-Visualization

IT contains data analysis and visualizations aimed at improving a landscaping company's revenue and customer satisfaction. The project addresses two sub-goals: increasing revenue and improving customer satisfaction. Four visualizations are provided, each contributing insights toward achieving these objectives.

Visualizations

1. Explanatory Visualization (Stacked Bar Chart for Revenue)

File: revenue_explanatory_visualization.py Description: A stacked bar chart illustrating total revenue by service type and employee, aiding in optimizing pricing and employee allocation. Instructions: Run the script to generate the visualization.

2. Exploratory Visualization (Heatmap for Customer Satisfaction)

File: customer_satisfaction_exploratory_visualization.py Description: A heatmap showcasing the average customer satisfaction score for each service type and employee experience level. Instructions: Execute the script to generate the heatmap.

3. Interactive Visualization (Line Chart for Revenue and Employee Allocation)

File: revenue_employee_interactive_visualization.ipynb Description: An interactive line chart displaying total revenue and employee allocation by month, filterable by service type and employee. Instructions: Open the Jupyter notebook and run cells for an interactive experience.

4. Visualization with Derived Data Types (Scatter Plot for Revenue and Material Costs)

File: revenue_material_costs_visualization.py Description: A scatter plot demonstrating the relationship between total revenue, material costs, and customer satisfaction by customer type. Instructions: Execute the script to generate the scatter plot.

How to Use

Clone this repository to your local machine:

git clone https://github.com/syedissambukhari/Landscaping-Business-Analytics-Visualization.git