Annsita E Commerce Sales Analysis Using Excel Github

An Excel dashboard for analyzing e-commerce sales data, providing insights into sales trends, customer behavior, and product performance. Key metrics like total sales, top-selling products, and customer demographics are visualized for data-driven decisions. Interactive filters allow users to explore specific regions, categories, and timeframes. E-commerce is fast gaining ground as an accepted and used business paradigm. More and more business houses are implementing web sites providing functionality for performing commercial transactions over the web. It is reasonable to say that the process of shopping on the web is becoming commonplace.

An Online E-Commerce Company wants to design a Sales dashboard to analyze the sales based on various regions. The company wants to add user control for product segment, so users can select a segment and can see the trend month-wise and product-wise accordingly. Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users. Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

An Excel dashboard for analyzing e-commerce sales data, providing insights into sales trends, customer behavior, and product performance. Key metrics like total sales, top-selling products, and cus… A comprehensive project in Excel, creating multiple dashboards and tables to analyze the data. Data Preprocessing, Data Cleaning and Data Visualization are few key processes executed in this project. There was an error while loading. Please reload this page.

[E-Commerce Sales Analysis Project]- This project analyzes an e-commerce dataset using Excel for data cleaning and Power BI for building an interactive dashboard. The goal is to uncover key business insights that help understand customer behavior, revenue patterns, and overall business performance. [Project Highlights] ✔️ Data cleaning and preprocessing in Excel ✔️ Interactive dashboard built in Power BI ✔️ Insights on: Monthly sales trends Top-performing cities Gender-wise order distribution Order status breakdown ✔️ Business-focused storytelling with clean visuals [Tools Used] Microsoft Excel – Cleaning, formatting, preprocessing Power BI – Dashboard design, DAX basics, business insights [Key Insights] -Peak sales observed during festive months -Customer orders higher in major metro cities -Female customers contributed slightly more to total orders -Most orders fall under Delivered and Shipped categories

Aspiring Data Analysist | Student of Lovely Professional University 🚀 New Project Alert – E-commerce Delivery Dashboard in Excel 📊 I'm excited to share my latest project—a fully interactive E-commerce Delivery Dashboard built in Microsoft Excel! This dashboard provides deep insights into key business metrics, helping understand: ✅ Order Trends ✅ Customer Feedback & Service Ratings ✅ Delivery Time & Delay Analysis ✅ Refund Requests Monitoring ✅ Platform & Product... This project helped me sharpen my data analysis and visualization skills, and I'm excited to keep learning and building more! 🔍 Looking for feedback and suggestions—always open to learning more from the community! #ExcelDashboard #DataAnalysis #Ecommerce #DeliveryAnalytics #DashboardDesign #ExcelTips #DataVisualization #PowerOfExcel

Attended at Lovely Professional University Student at Lovely Professional University "Creative B.Tech Student at Lovely Professional University | Passionate About Video Production & Design | Aspiring to Blend Technology with Visual Storytelling" The data shows the sales of an electronics store, you can see the raw data in this Link As you can see in the image below, the format of the data was not appropriate... The activities performed were the following: Most of this analysis was done using Excel pivot tables and visualizations considering the target questions.

Finally we obtained a dashboard with 2 sheets showing the sales in a general way and the other one showing the performance of these at different times of the day and weeks. You can see the dashboards below and you can access the document by clicking on this Link Hosted on GitHub Pages — Theme by orderedlist Just a moment while we crunch the numbers for your portfolio analytics... As a recent graduate with a strong analytical mindset and a keen eye for detail, I am eager to kickstart my career as a Data Analyst. Proficient in Python, SQL, MySQL, MS Excel, Power BI, NumPy and Pandas

Ecommerce Sales Analysis Dashboard Using MS Excel The eCommerce Sales Dashboard is a comprehensive tool designed to provide insightful analysis and visualization of sales data for an online retail platform. Created using advanced Excel functionalities, this dashboard serves as a crucial asset for tracking, analyzing, and optimizing sales performance. The eCommerce Sales Dashboard is a powerful tool that consolidates sales data, enhances analysis, and supports strategic decision-making. By leveraging advanced Excel features, this dashboard provides valuable insights that drive business growth and operational efficiency. There was an error while loading.

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