Data Analysis Visualization Assignment

Assignment Task

Objective

This assignment aims to enhance your understanding and skills in data visualization techniques. You will explore a dataset, create various types of graphs to uncover insights, and compile a written report to discuss your findings

Dataset

For this assignment, you will work with the Global Superstore Orders 2016 dataset available on Kaggle. This dataset includes global sales and profit data for a variety of products in the superstore industry for the year 2016.

Assignment Tasks

1. Data Preparation:

• Download the dataset from Kaggle.
• Perform any necessary data cleaning and preparation steps, including handling missing values and outliers

2. Data Visualization:

Create the following types of graphs using the dataset. For each graph, ensure that it is clearly labeled and includes a title that reflects the insight or analysis the graph is intended to convey.

• Bar Chart: Show the total sales by category.
• Line Graph: Trend of sales over the months of 2016.
• Pie Chart: Distribution of sales across different regions.
• Scatter Plot: Relationship between sales and profit.
• Histogram: Distribution of profit margins.
• Box Plot: Analyze the spread of sales in each category.
• Heatmap: Correlation between numerical features in the dataset.

3. Written Report:

Introduction

Briefly describe the dataset and your objectives in this analysis.

Methodology

Outline the steps taken in data preparation and the tools or software used for creating the visualizations.

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