.Exploring Sales Data with Tableau

Analyze and visualize sales data using Tableau to gain insights and present findings effectively.

Step 1: Data Loading and Analysis

• Download the "Sales Data" dataset provided on Moodle.

Step 2: Data Visualization

Create the following visualizations using Tableau: (Hint: By default, Tableau will aggregate the data (you can see SUM in front of each entry). To change this, right-click on the field on the Columns shelf and select "Dimension" instead of "Measure.")

Total Sales by Product Category:

• Generate a bar chart to display the total sales for each product category.

Sales Trend:

• Analyze the sales performance by category.

Regional Sales Breakdown:

• Use a map visualization to display the sales distribution by region.
• Color code the map based on sales volume.

Step 3: Interactivity

Enhance your visualizations with interactivity:

• Add filters to allow users to select specific product categories or time periods.

Step 4: Analysis and Findings:

Analyze the visualizations and draw conclusions:

• Identify the top-selling product categories and regions.
• Explore sales trends and patterns by category.
• Note any significant insights or observations. Calculate central tendencies (mean, median, mode, standard deviation) for each feature and the output variable. Analyze these measures to gain insights into the data distribution.

Submission:

Submit:

• A PDF file containing all the solutions, explanations and figures requested. Save your file as FirstName-LastName.PDF.

Good luck