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Xlsx E Commerce Sales Analysis Using Excel Ecommerce Sales Analysis Da

Leo Migdal
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xlsx e commerce sales analysis using excel ecommerce sales analysis da

There was an error while loading. Please reload this page. Grab your free Sample Sales Data Excel download pack and sharpen your analysis skills with five fully-synthetic Sales & Retail workbooks. Each file mirrors real-world scenarios: regional roll-ups, e-commerce orders, POS receipts, customer histories and inventory levels – yet is 100 % dummy (CC0). Practice PivotTables, Dashboards, Power Query, time-series charts and inventory logic – no sign-ups, no privacy risk. Perfect for executive-level dashboards, this 1 500-row file aggregates sales across five regions and multiple store locations.

Analyze how discounts, promotions and payment methods influence revenue, then map results geographically or slice by salesperson. It’s an ideal sandbox for practicing multi-dimensional PivotTables and summary charts in a single afternoon. <img fetchpriority="high" decoding="async" class="aligncenter size-full wp-image-5410" src="https://excelx.com/wp-content/uploads/2025/06/Sales-Data-Product-Sales-by-Region-Dataset.png" alt="Sales Data Product Sales by Region Dataset" width="800" height="400" srcset="https://excelx.com/wp-content/uploads/2025/06/Sales-Data-Product-Sales-by-Region-Dataset-200x100.png 200w, https://excelx.com/wp-content/uploads/2025/06/Sales-Data-Product-Sales-by-Region-Dataset-300x150.png 300w, https://excelx.com/wp-content/uploads/2025/06/Sales-Data-Product-Sales-by-Region-Dataset-400x200.png 400w, https://excelx.com/wp-content/uploads/2025/06/Sales-Data-Product-Sales-by-Region-Dataset-600x300.png 600w, https://excelx.com/wp-content/uploads/2025/06/Sales-Data-Product-Sales-by-Region-Dataset-768x384.png 768w, https://excelx.com/wp-content/uploads/2025/06/Sales-Data-Product-Sales-by-Region-Dataset.png 800w" sizes="(max-width: 800px) 100vw, 800px" /> Columns Included: Date, Region, Product, Quantity, UnitPrice, StoreLocation, CustomerType, Discount, Salesperson, TotalPrice, PaymentMethod, Promotion, Returned, OrderID, CustomerName, ShippingCost, OrderDate, DeliveryDate, RegionManager This e-commerce table follows every step of an online purchase, from cart creation to delivery tracking. With coupon codes, referral sources and order statuses included, you can quantify promotion lift, evaluate fulfilment speed or join the data to web-traffic logs.

Its 1 200 records are compact enough for Excel, yet varied enough for meaningful insight. I am pleased to share a project I have completed, which involves an analysis of sales data for an e-commerce firm. I used Excel to explore various visualisation tools. The purpose of this project is to analyse sales data to identify trends, top-selling products, key customers, and revenue metrics that help in business decision-making. In this project, I examined a large sales dataset to extract valuable insights. I explored sales trends over time, identified the best-selling products, analysed the top customers, calculated revenue metrics such as total sales and profit margins, and created visualisations to present my findings effectively.

This project highlights my ability to manipulate and derive insights from large datasets, enabling me to make data-driven recommendations for optimising sales strategies. 1. Company Profitability: Total revenue is the total amount of money generated from selling goods or services, while total profit is the money remaining after paying business expenses (calculated as total profit = total revenue... From 2011 to 2014, the total revenue amounted to $2,297,200.86, and the total profit was $286,397.02. Year-over-year (YOY) growth shows that compared to 2013, total revenue increased by 20.62%, and total profit grew by 14.41%. Additionally, the total number of orders was 9,994, and the total quantity sold was 37,873 units.

Both metrics grew by 28.64% and 27.45% year-over-year, respectively. Profit margin is the percentage of revenue kept as profit after covering business expenses. It is calculated using the following formula: Profit Margin = (Total Profit / Total Revenue) x 100 There was an error while loading. Please reload this page.

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. Your Sandbox for Mastering E-commerce Data Analysis. Create realistic, interconnected datasets for analysis. Select your options and click "Generate Data". Every e-commerce analyst knows the challenge: understanding the complete customer journey, from the first ad click to the final purchase, requires a complex, multi-faceted dataset.

Finding realistic practice data that connects online transactions, shopping cart behavior, and promotional campaigns is nearly impossible. That’s why we built the PNRao E-commerce & Marketing Data Generator. This powerful tool creates a complete, enterprise-grade e-commerce dataset with a single click. Whether you’re an analyst practicing how to build a conversion funnel, a student learning about online retail, or a marketing manager building a business case for a new promotion, this generator provides the data... Stop working with simple sales lists and start analyzing the entire e-commerce lifecycle. There was an error while loading.

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There was an error while loading. Please reload this page. Grab your free Sample Sales Data Excel download pack and sharpen your analysis skills with five fully-synthetic Sales & Retail workbooks. Each file mirrors real-world scenarios: regional roll-ups, e-commerce orders, POS receipts, customer histories and inventory levels – yet is 100 % dummy (CC0). Practice PivotTables, Dashboards, Power Que...

Analyze How Discounts, Promotions And Payment Methods Influence Revenue, Then

Analyze how discounts, promotions and payment methods influence revenue, then map results geographically or slice by salesperson. It’s an ideal sandbox for practicing multi-dimensional PivotTables and summary charts in a single afternoon. <img fetchpriority="high" decoding="async" class="aligncenter size-full wp-image-5410" src="https://excelx.com/wp-content/uploads/2025/06/Sales-Data-Product-Sale...

Its 1 200 Records Are Compact Enough For Excel, Yet

Its 1 200 records are compact enough for Excel, yet varied enough for meaningful insight. I am pleased to share a project I have completed, which involves an analysis of sales data for an e-commerce firm. I used Excel to explore various visualisation tools. The purpose of this project is to analyse sales data to identify trends, top-selling products, key customers, and revenue metrics that help in...

This Project Highlights My Ability To Manipulate And Derive Insights

This project highlights my ability to manipulate and derive insights from large datasets, enabling me to make data-driven recommendations for optimising sales strategies. 1. Company Profitability: Total revenue is the total amount of money generated from selling goods or services, while total profit is the money remaining after paying business expenses (calculated as total profit = total revenue.....

Both Metrics Grew By 28.64% And 27.45% Year-over-year, Respectively. Profit

Both metrics grew by 28.64% and 27.45% year-over-year, respectively. Profit margin is the percentage of revenue kept as profit after covering business expenses. It is calculated using the following formula: Profit Margin = (Total Profit / Total Revenue) x 100 There was an error while loading. Please reload this page.