Product sales dataset. Sample Superstore Sales.
Product sales dataset. Leveraging these datasets, businesses can analyze Unveiling Retail Trends: A Dive into Sales Patterns and Customer Profiles Retail Sales Dataset | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. net Nov 15, 2023 · A comprehensive dataset with sales data across channels and financial information. Learn more This project conducts a comprehensive analysis of retail sales using a dataset sourced from Kaggle. The possible attributes of sales datasets include but are not limited to: date and time of sale, product or service sold, quantity sold, price per unit, total revenue, customer information (such as name, contact details, and location), salesperson responsible for the sale, payment method, discounts or promotions applied, and any additional Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. This dataset includes reviews (ratings, text, helpfulness votes), product metadata (descriptions, category information, price, brand, and image features), and links (also viewed/also bought graphs). Sample Superstore Sales. Find valuable product sales datasets, databases, and providers on Datarade - the leading online platform for data sales. The best selling product was the Mountain-200 Black, 46 with sales totaling 1,373,454 . The data contains hundreds of thousands of electronics store purchases broken down by month, product type, cost, purchase address, etc. Key features of the dataset: Sales records: Dive into the details of individual transactions, including purchase dates, product IDs, quantities, and prices. Jan 28, 2024 · In business, the analysis of product sales data plays a strong role in understanding product dynamics, identifying trends, and making informed data-driven decisions. The dataset we will be using Sep 29, 2023 · Dataset Source: Customer Demographics Dataset; 2. Analyzing and Maximizing Online Business Performance The table contains a retail sales dataset with 1000 rows and 10 columns, including transaction details such as ID, date, customer information, product category, quantity, and price. Preview data samples for free. . Regards This dataset has 142 Categories and 300K+ Products Details Amazon Products Sales Dataset 2023 | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Data includes SKUs, design numbers, stock levels, product categories, product sizes, product colors, the amount paid, rate per piece, date of sale, gross amounts and much more. Explore trends, patterns, and key metrics to inform strate This project is an in-depth analysis of retail sales using a Kaggle dataset. – A distinct identifier for every order. It explores trends over time, segments customers based on demographics and spending behavior, analyzes profit margins by product category, examines sales patterns across store locations, and builds predictive models to forecast sales or predict customer behavior. Analysis of the sales data with particular focus given to how promotions and advertising translate into sales, in terms of both units sold and sales dollars. Retail Sales Data is used for analyzing and understanding sales trends, customer behavior, and market demand in the retail industry. Can u share dataset This dataset contains product reviews and metadata from Amazon, including 142. The aims are to study how sales strategies can be improved and optimized. This information can be used to identify top-selling products, optimize pricing strategies, and forecast future sales. The sample data we’ve provided is designed to be a foundation for building your own healthcare insurance claim datasets. - sankalpk4u/Retail-Sales-Analysis-EDA Product sales datasets are comprehensive collections of data that provide valuable insights into the sales performance of various products. In this page, you’ll find the best data sources for retail sales data. Buy & download Ecommerce Product Data datasets instantly. Feb 7, 2023 · List of the Best Datasets for Power BI Practice 1. This dataset is having the data of 1K+ Amazon Product's Ratings and Reviews Amazon Sales Dataset | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Businesses can obtain ecommerce sales datasets from various sources, including: Internal data collection and analysis; Third-party data providers; Market research firms; Ecommerce platforms and marketplaces; Government and industry reports; What are the challenges of working with ecommerce sales datasets? Working with ecommerce sales datasets Examples of Retail Sales Data include sales dataset csv, dataset for sales analysis, dmart dataset, and product sales dataset excel. Feel free to add more rows to suit your specific use case or dataset requirements. This dataset has 142 Categories and 300K+ Products Details Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. Amazon Product Details 2020. Learn the process of preprocessing, model training, and evaluation using a real-world dataset sourced from a Video Games sales prediction hackathon. See full list on imerit. Help the company in finding trends and insights. Find the right Ecommerce Product Datasets: Explore 100s of datasets and databases. 8 million reviews spanning May 1996 - July 2014. - sersun/supermarket-sales-analysis Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. It can be used to analyze sales trends, customer behavior, and calculate total revenue. Ecommerce datasets allow businesses to analyze sales performance, revenue trends, and customer purchase behavior. Order Date – The date on which an order is placed. Sales Forecasting. Predict future sales trends and demand for products using historical sales data and external factors like seasonality. - GitHub - Rishanmv/DMart-Sales-Analysis: This project aims to explore the D-mart Sales data to understand top performing branches and products, sales trend of of different products, customer behavior. These datasets encompass a wide range of information, including sales transactions, customer demographics, pricing details, and promotional activities. Transactional Data with Product and Customer Details in Online Retail Online Retail Sales and Customer Data | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Jun 21, 2022 · On total sales per product category, Bikes brought in the most sales at 28,272,853. Using Python, Pandas & Matplotlib to analyze and answer business questions about 12 months worth of sales data. The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. Explore trends, patterns, and key metrics to inform strategic business decisions and drive growth. Discover the best ecommerce sales datasets and databases for 2024. Product information: Gain insights into various product categories, types, and attributes that influence consumer preferences. The Supermarket sales data provides details on customers, products, and various specifications for each customer order: Order No. This dataset includes the following variables: Order ID - A unique identifier for each order. Feb 28, 2024 · Explore the application of machine learning models such as linear regression and neural networks in sales forecasting, surpassing traditional methodologies. The Sample Superstore Sales dataset provides sales data for a fictional retail company, including information on products, orders and customers. It includes exploratory data analysis (EDA) steps such as time trend analysis, customer segmentation, profit margin analysis, location-based sales analysis, and predictive modeling. r eda forecasting shiny-apps sales-analysis profit-and-loss-statement statement-analysis Jun 27, 2024 · 11 Ideal Excel Datasets for Analysis Example 1 – Supermarket Sales Data. Jul 1, 2024 · Thank you for your comment! We provide sample datasets to help you get started, and you can easily extend or modify them as needed.
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