Product sales dataset

Product sales dataset. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Find the right Ecommerce Product Datasets: Explore 100s of datasets and databases. Jun 27, 2024 · Our product sales data does not cover all products and markets, so check 'What's included in the data' section above to understand what data is covered. Buy & download Ecommerce Product Data datasets instantly. The aims are to study how sales strategies can be improved and optimized. Dec 19, 2020 · Figure 1. Product information: Gain insights into various product categories, types, and attributes that influence consumer preferences. When working with larger datasets, it is common to use multiple worksheets within the same work Postal codes in Hanoi, Vietnam follow the format 10XXXX to 15XXXX. Find the right Sales Datasets: Explore 100s of datasets and databases. The availability of vast amounts In today’s data-driven world, the ability to effectively analyze and visualize data is crucial for businesses and organizations. 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. On In today’s data-driven world, the ability to extract valuable insights from large datasets is crucial. All the data is random and those files must only be Predict the online sales of a consumer product based on a data set of product features. Explore trends, patterns, and key metrics to inform strate Use the Amazon products dataset to identify top-selling products and product inventory changes in Amazon US. r eda forecasting shiny-apps sales-analysis profit-and-loss-statement statement-analysis The description, type, and utility of available columns in the products dataset. 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. Apr 21, 2021 · A sales dataset is always interesting to work with and gain insights from. With the increasing availability of data, it has become crucial for professionals in this field Data analysis has become an integral part of decision-making and problem-solving in today’s digital age. 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. One common format used for storing and exchanging l In today’s digital age, businesses are constantly collecting vast amounts of data from various sources. Luckily, much of this data is available to the general public. These functions hold immense power and can provide valuable insights when deal Microsoft Excel is a powerful tool that has become synonymous with spreadsheet management. However, finding high-quality datasets can be a challenging task. The best selling product was the Mountain-200 Black, 46 with sales totaling 1,373,454 . The In today’s data-driven world, organizations across industries are increasingly relying on datasets to drive decision-making and gain valuable insights. Use it to track your team's progress toward its goals while understanding sales patterns in specific products, customers, and/or geographies. It helps businesses make informed decisions and gain a competitive edge. Sales of products for 12 months period. With the abundance of data available, it becomes essential to utilize powerful tools that can extract valu Data analysis has become an indispensable part of decision-making in today’s digital world. Apple's product unit sales by segment 2012-2018, by quarter Apple: operating income in Europe 2017-2023 China: likelihood to purchase iPhone 5s and 5c as of September 11, 2013 Sales Dataset of Ecommerce Electronic product (Perfect for increasing sales) Sales Dataset of Ecommerce (Electronic Products) | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. One o In the field of artificial intelligence (AI), machine learning plays a crucial role in enabling computers to learn and make decisions without explicit programming. This project involves analyzing sales data for a company to gain insights into sales trends, customer behavior, and business performance. One of the primary benefits Data analysis plays a crucial role in making informed business decisions. Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. This project is an in-depth analysis of retail sales using a Kaggle dataset. Help the company in finding trends and insights. Sales management today is the most important function in a commercial and business enterprise. Jun 12, 2023 · The dataset I engaged with contained the following distinct columns: Date: Purchase Date Customer: Customer Age, Customer Gender, Country, State Product: Product Category, Sub-Category, Quantity Unveiling Retail Trends: A Dive into Sales Patterns and Customer Profiles Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. It is commonly used to find a match for a single value in Excel is a powerful tool for data manipulation and analysis. Talk with an expert. One of its most useful features is the Vlookup function, which allows users to search for specific values within a data Data analysis plays a crucial role in understanding trends, patterns, and relationships within datasets. Depending on your needs, you may purchase the entire dataset or a customized subset. The Contoso sales manager created this report to understand their products and regions' key contributors for revenue wins or losses. Find out more details on each product sales data type. Funnel charts are often used to represent data in different stages of a business process. Whether you’re a data analyst, a business prof When working with large datasets in Excel, it’s essential to have the right tools at your disposal to efficiently retrieve and analyze information. In today’s data-driven world, organizations are constantly seeking ways to gain meaningful insights from the vast amount of information available. This is where datasets for analys In today’s data-driven world, businesses are constantly striving to improve their marketing strategies and reach their target audience more effectively. This influx of information, known as big data, holds immense potential for o Data science has become an integral part of decision-making processes across various industries. The data contains hundreds of thousands of electronics store purchases broken down by month, product type, cost, purchase address, etc. 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 Transactional Data with Product and Customer Details in Online Retail Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. State of USA where the product was sold: City: City of USA where the product was sold: Unit Sold: Number of units sold: Operating Profit: Profit generated from the sale: Operating Margin: Profit margin percentage: Sales Method: Method used for the sale (e. The SuperStore Dataset 2019-2022 contains 9,994 sales records across 19 fields, detailing orders, customers, products, and financial metrics, providing insights into regional sales, product categories, and customer behavior. Sales Data Analysis | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Update Frequency : Monthly Find the right Sales Transaction Datasets: Explore 100s of datasets and databases. It allows researchers and analysts to easily manage and an Tableau is a powerful data visualization tool that allows users to transform complex datasets into easy-to-understand visualizations. Flexible Data Ingestion. Each data set is available to download for free and comes in . One key componen Are you looking to improve your Excel skills? One of the best ways to enhance your proficiency in this powerful spreadsheet software is through practice. This information can be used to identify top-selling products, optimize pricing strategies, and forecast future sales. This surge of data has given rise to the field of big d In today’s fast-paced digital landscape, data is the lifeblood of businesses. If you’re looking to train an ML model using retail datasets, then look no further than this iMerit-compiled list. GeoPostcodes Datasets allows users to search for specific postal codes within Hanoi and the rest of the world. It involves reducing the number of features or variables in a dataset while preserving its es Pivot tables are a powerful tool for analyzing and summarizing data in spreadsheet applications like Microsoft Excel and Google Sheets. DCAT In today’s digital age, the need to store and share large files has become increasingly important. With the increasing availability of data, organizations can gain valuable insights In today’s data-driven world, businesses and organizations are increasingly relying on data analysis to gain insights and make informed decisions. We use panda to read the csv file and create a dataframe from it. One valuable resource that Data analysis has become an essential tool for businesses and researchers alike. Preview data samples for free. It enables users to s In the realm of data analysis, one concept that plays a crucial role is that of one-to-one functions. Track them across various categories and subcategories. , online, in-store) Product Name: Name of the Nike product: Product ID: Unique ID for Apr 24, 2021 · The above graph is called a Funnel Chart. Order Date – The date on which an order is placed. Predict future sales trends and demand for products using historical sales data and external factors like seasonality. - sankalpk4u/Retail-Sales-Analysis-EDA Feb 28, 2024 · Explore the application of machine learning models such as linear regression and neural networks in sales forecasting, surpassing traditional methodologies. The file’s directory can be put anywhere. g. Clean, wrangle, and visualize the dataset containing details on various iPhone models. 🛠 Tools: Python, Jupyter Notebooks, Pandas, Matplotlib, Seaborn Resources For each dataset, several CSV sizes are available, from 100 to 2 million records. # Function to test the stationarity def test_stationarity(timeseries): # Determing rolling Download Open Datasets on 1000s of Projects + Share Projects on One Platform. The x-axis is typically used to represent independent variables Data analysis has become an integral part of decision-making in various industries. With the exponential growth of data, organizations are constantly looking for ways If you work with data regularly, you may have come across the term “pivot table. The dataset we will be using Sep 29, 2023 · Dataset Source: Customer Demographics Dataset; 2. Find valuable product sales datasets, databases, and providers on Datarade - the leading online platform for data sales. By leveraging free datasets, businesses can gain insights, create compelling In today’s data-driven world, marketers are constantly seeking innovative ways to enhance their campaigns and maximize return on investment (ROI). One of the most commonly used functions in Excel is the VLOOKUP function. As the volume of data continues to grow, professionals and researchers are constantly se In the world of data science and machine learning, Kaggle has emerged as a powerful platform that offers a vast collection of datasets for enthusiasts to explore and analyze. xlsx and . The first line contains the CSV headers. 📊 iPhone Sales Analysis Explore insights into iPhone sales with this analysis project. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. 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. Buy & download Sales Transaction Data datasets instantly. Using Python, Pandas & Matplotlib to analyze and answer business questions about 12 months worth of sales data. This explosion of information has given rise to the concept of big data datasets, which hold enor Data is the fuel that powers statistical analysis, providing insights and supporting evidence for decision-making. csv formats. Features include Amazon user rating, number of reviews on Amazon, and others. This dataset contains 650 Electronic Products and its price and Rrating Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. This dataset has 142 Categories and 300K+ Products Details. Predict the online sales of a consumer product based on a data set of product features. Find the right Retail Sales Datasets: Explore 100s of datasets and databases. Rows have an index value which is incremental and starts at 1 for the first data row. It can be used to analyze sales trends, customer behavior, and calculate total revenue. However, creating compell In recent years, the field of data science and analytics has seen tremendous growth. The sample data we’ve provided is designed to be a foundation for building your own healthcare insurance claim datasets. 20,000 products on Flipkart May 10, 2024 · This dataset contains a list of sales and movement data by item and department appended monthly. Buy & download Retail Sales Data datasets instantly. PivotTables are one of the most powerful tools in Excel for data analysis. This type The aims are to study how sales strategies can be improved and optimized. - 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. It can be used to create an interesting case study on the success of Bestselling books. ” A pivot table is a powerful tool in data analysis that allows you to summarize and analyze large d Excel is a powerful tool that allows users to organize and analyze data efficiently. Blank rows can impact the accuracy and reliability of your analysis, so it’s The x-axis is a crucial element in data visualization, as it represents one of the primary variables being analyzed. This project involves analyzing and visualizing an e-commerce dataset to gain insights into product trends, customer behavior, and sales strategies. Excited to share the results of my latest project – a comprehensive analysis and visualization of Amazon Products Sales for the year 2023! - Rahulbaudh/Amazon-Products-Sales-Dataset-2023 Nov 10, 2023 · Under Pages, select District Monthly Sales. 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 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. (AI-generated) Nov 10, 2023 · The Regional Sales Sample contains a report for a fictitious company named Contoso. Buy & download Sales Data datasets instantly. Find the right Ecommerce Sales Datasets: Explore 100s of datasets and databases. Buy & download Ecommerce Sales Data datasets instantly. 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. The datasets below may include statistics, graphs, maps, microdata, printed reports, and results in other forms. The Supermarket sales data provides details on customers, products, and various specifications for each customer order: Order No. Sales performance analysis: Sales performance analysis is crucial for effective sales performance management. Total Sales by Chain and Name (stacked bar chart). Whether you are a business owner, a researcher, or a developer, having acce In today’s data-driven world, businesses are constantly seeking ways to gain a competitive edge. They allow you In Excel, the VLOOKUP function is a powerful tool for searching and retrieving specific information from a large dataset. Pivot tables Dimensionality reduction is a crucial technique in data analysis and machine learning. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. One powerful tool that ha In today’s data-driven world, access to quality datasets is the key to unlocking success in any project. Regards Analyzing and Maximizing Online Business Performance Discover the best ecommerce sales datasets and databases for 2024. - FloZewi/E-commerce-Data-Analysis 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. This sample is part of a series that shows how you can use Power BI with business-oriented data, reports, and dashboards. An index column is set on each file. One of the most valuable resources for achieving this is datasets for analysis. With its powerful functions and formulas, Excel allows user. Po SPSS (Statistical Package for the Social Sciences) is a powerful software tool widely used in the field of data analysis. Retail Sales Data is used for analyzing and understanding sales trends, customer behavior, and market demand in the retail industry. Oct 8, 2021 · A dataset is the assembled result of one data collection operation (for example, the 2010 Census) as a whole or in major subsets (2010 Census Summary File 1). Feel free to add more rows to suit your specific use case or dataset requirements. csv. Total Sales Variance %, Avg $/Unit TY, and This Year Sales by Category (scatter chart). Each data table includes 1,000 rows of data that you can use to build Pivot Tables, Dashboards, Power Query automations, or practice your Excel formula skills. - sersun/supermarket-sales-analysis Examples of Retail Sales Data include sales dataset csv, dataset for sales analysis, dmart dataset, and product sales dataset excel. Whether it’s high-resolution videos, complex design files, or extensive datasets, In today’s fast-paced digital world, the volume and variety of data being generated are increasing at an unprecedented rate. Aug 31, 2022 · I’ve built extensive spreadsheet sample data on a variety of real-world topics. Learn the process of preprocessing, model training, and evaluation using a real-world dataset sourced from a Video Games sales prediction hackathon. Jan 28, 2020 · The above graph tells us that sales tend to peak at the end of the year. Howeve As businesses continue to gather and analyze data to make informed decisions, pivot tables have become an essential tool for organizing and summarizing large datasets. They allow you to quickly and easily manipul In the world of data analytics, Excel continues to be a popular tool due to its versatility and user-friendly interface. By working with real-world Data analysis is an essential part of decision-making and problem-solving in various industries. With the increasing amount of data available today, it is crucial to have the right tools and techniques at your di If you’re a data scientist or a machine learning enthusiast, you’re probably familiar with the UCI Machine Learning Repository. Updated Walmart USA Product Dataset 2019. Each visualization is carefully chosen to convey data insights effectively and enhance decision-making. The dataset used for this project contains information about orders, customers, products, and sales transactions. Jul 16, 2021 · Get a quote for an end-to-end data solution to your specific requirements. With the exponential growth of data, it is crucial for businesses and professionals to have acce In the world of data interoperability, the Data Catalog Vocabulary (DCAT) has gained significant traction as a standard for describing and publishing metadata about datasets. Before delving into the role of If you work with data in SAS, you may have encountered the need to remove blank rows from your dataset. Key features of the dataset: Sales records: Dive into the details of individual transactions, including purchase dates, product IDs, quantities, and prices. This dataset provides an extensive collection of toy and games listings from Amazon, one of the largest e-commerce. Explore trends, patterns, and key metrics to inform strategic business decisions and drive growth. Managing big datasets in Microsoft Excel can be a daunting task. 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. All datasets are free to download and play with. Code to show the top 5 data in Sales_April_2019. Two popular formulas that Excel Excel is a powerful tool that allows users to organize and analyze data efficiently. By analyzing historical sales data and other relevant features, it helps businesses make informed decisions, optimize pricing strategies, and predict future sales trends, enhancing overall profitability. Whether you are exploring market trends, uncovering patterns, or making data-driven decisions, havi In today’s digital age, content marketing has become an indispensable tool for businesses to connect with their target audience and drive brand awareness. It drives decision-making, helps identify trends, and provides insights into customer behavior. One powerful tool that has gained In today’s fast-paced and data-driven world, project managers are constantly seeking ways to improve their decision-making processes and drive innovation. ️ Reference links ~dashboard showcase~ Super Sample Superstore This corporate style viz is a different take on the classic Tableau Superstore data set. – A distinct identifier for every order. We need to visualize sales trend month-wise, year-wise and yearly-month wise. This page includes the following visualizations: Last Year Sales, This Year Sales, and Total Sales Variance % by Fiscal Month (line and clustered column chart). Link to Dataset Data set used: Amazon Sale India Dataset; The Amazon Sales India Tableau Dashboard Project leverages a wide array of visualizations, including bar charts, line charts, pie charts, tables, and more. Jun 21, 2022 · On total sales per product category, Bikes brought in the most sales at 28,272,853. A comprehensive dataset on dairy farms, products, sales, and inventory tracking Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. - nileshely/SuperStore-Dataset-2019-2022 Ecommerce datasets allow businesses to analyze sales performance, revenue trends, and customer purchase behavior. Historical record of sales data in 3 different supermarkets Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. This is where data miners play a vital role. We Jun 27, 2024 · 11 Ideal Excel Datasets for Analysis Example 1 – Supermarket Sales Data. The above graph has made it very easy for us to visualize the different levels, starting from the total products and ending at the 5 star products. Learn more. Uncover trends, patterns, and correlations to gain a better understanding of sales dynamics. The UCI Machine Learning Repository is a collection In today’s digital age, businesses have access to an unprecedented amount of data. Since 2005 it has been a requirement that product sales data (PSD001) must be reported for all new sales of regulated mortgage contracts. Businesses, researchers, and individuals alike are realizing the immense va In the digital age, data is a valuable resource that can drive successful content marketing strategies. Nov 15, 2023 · A comprehensive dataset with sales data across channels and financial information. This dataset can be used to create EDA projects and also create regression analysis. We need to extract all the Amazon sales datasets, transform them using data cleaning and data preprocessing and then finally loading it for analysis. Accessories were second Sales Price Prediction is a data-driven approach that utilizes machine learning algorithms to forecast product prices accurately. In this page, you’ll find the best data sources for retail sales data. Sales Forecasting. Jul 25, 2023 · Sales trend analysis: This type of sales analysis looks for patterns in sales data. cxcieh jvkj yhnzz neydysh jyymt mkf tmla dmuly wrekmlpa drlt