Sales Data Analysis Project This repository contains an Excel project that analyzes the sales data of a company to determine the most popular time for customers to make purchases. The project involves cleaning and formatting the data, and using Excel functions and charts to visualize the results. The project is designed to demonstrate basic data analysis skills and proficiency with Excel.

Getting Started To use this project, simply download the sales_data.xlsx file and open it in Excel. The file contains a single worksheet with sales data for a period of one month. The data includes information about the date and time of each purchase, the product purchased, the price, and the payment method.

Cleaning and Formatting the Data Before analyzing the data, we need to clean and format it. This involves removing any empty or irrelevant rows and columns, and separating the date and time into separate columns. We can use Excel functions such as LEFT, RIGHT, MID, and DATEVALUE to extract the relevant information from the date and time column.

Analyzing the Data Once the data is cleaned and formatted, we can use Excel functions and charts to analyze it. In this project, we are interested in finding the most popular time for customers to make purchases. We can use a pivot table and a pivot chart to group the sales data by hour of the day and visualize the results.

Completing the Project To complete this project, you may want to consider the following steps:

Update the README.md file with a more detailed description of the project, including any relevant background information or context, the tools and techniques used, and the goals and objectives of the project. Add a license to the repository to protect your work and clarify your expectations for others who may want to use or contribute to your project. Create branches and pull requests to work on different versions of the project and collaborate with others. Add more files and documentation, such as data files, scripts, or additional analysis. Invite collaborators to the repository to work on the project together. License This project is licensed under the MIT License - see the LICENSE.md file for details.