Before starting the Sales Data Analysis project, let's make a general plan about the steps and data set for the project. In this project, we will aim to determine sales performance, trends, seasonality and factors affecting sales by analyzing sales data.
Project Plan
Purpose of the Project:
Evaluating sales performance by analyzing sales data.
Determining sales trends and seasonality through time series analysis.
Analyze the factors affecting sales and report them.
Dataset:
TransactionID: The unique ID of each sales transaction.
CustomerID: Unique ID for each customer.
ProductID: Unique ID for each product.
ProductCategory: The category to which the product belongs.
SalesDate: Contains the sales date.
SalesTime: The time the sale occurred.
Quantity: The amount of product sold.
Price: Unit price of the product.
TotalSalesAmount: Total amount of the sale (will be calculated automatically).
Steps:
Data Loading and Cleaning:
The dataset will be loaded, missing or incorrect data will be detected and cleaning operations will be performed.
Time Series Analysis:
We will examine sales data as a time series and determine trend and seasonality.
Sales Performance Analysis:
By evaluating sales performance, we will identify high and low performing products and periods.
Factor Analysis:
By analyzing the factors affecting sales, we will determine which factors increase or decrease sales.
Reporting Results:
By reporting the analysis results, we will provide valuable insights for the business.
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