Retail Dataset

1. Introduction

The Sample Sales Datasets contain set of information including sales data order details customer information and shipping data do this data set offer a valuable resource for conducting retail analysis, customer analysis, product performance, customer segmentation and sales stimulation training.

2. Contents:

Customers: It includes customer information Such as customer ID, name, and location.

Products: It's included product details like product ID, category and price.

Orders: Product ID, date and customer ID.

3. Observations

The data set contains sales data which includes product price, quality sold, product name and custome. There is a time component which allows us to analyze sales trained over a period of time To gain insight into sales data, we can explore total sales and top-selling products.

There is correlation between a product and its sales performance

4. Key Variables

Sales: The quarter in which the sales target is fixed.

Product Data: Product ID is the unique id of each product, Name, Price of the product per unit

Customer demographic: Customer ID, Name, City, State

5. Statistical Analysis

Correlation Analysis: Investigated the relationship between product and sales performance.

Forecasting: A histogram chart was created to monitor the performance of sales over the product

6. Conclusion

The analysis of the Sample Sales Data provides valuable insight by leveraging the datasets efficiently, business standing valuable insight, to drive sales growth, optimize operational efficiency, customer behaviors and product demands. Key words include seasonal sales variations, customer demographics, top-selling products. This dataset serves as a further analytics and machine learning application aimed to improve sales strategies and business outcomes.

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