Superstore sales dataset. One valuable resource that In today’s fast-paced world, having a reliable source of backup power is essential. At 256,368. Nov 19, 2023 · The Global Superstore dataset provides a comprehensive glimpse into the retail landscape, encapsulated within an extensive Excel file featuring three distinct sheets: ‘Orders,’ ‘People The Sales Superstore Dashboard project aims to analyze and visualize the sales performance of a retail company using the Sales Superstore dataset. Ham Radio Outlet, the leading supplier of amateur radio equipment and accessories, is expanding its Portland In today’s fast-paced world, convenience and efficiency have become the driving forces behind consumer behavior. Find and download the Superstore Sales data set used in Tableau tutorials and videos. xls. Whether you live in an area prone to frequent power outages or simply want to be prepared for em Data analysis has become an essential tool for businesses and researchers alike. 3 Feb 19, 2024 · In this guide, I’ll show you how to build and publish a superstore sales and profit report in Power BI using the US superstore retail transaction data to get valuable insights about sales and profits. 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). This includes the state, region, order date, shipping date, product ordered etc. The dashboard provides actionable insights into sales trends, customer behavior, product performance, geographical analysis, order and shipping data, and profitability. Feb 2, 2024 · Of a total of 37,873 Sales, Superstore has had 800 Returns costing $180,504. Code. The purpose of this writing is to use the main features of HEARTCOUNT and help you apply what you’ve learn in your real dataset. 2. Welcome to the Super Store Sales Analysis repository! This project aims to provide comprehensive insights into sales data from a fictional superstore using Power BI. About "Superstore Sales Dataset" - Comprehensive collection of sales, customer, and product data for analysis. Predict Sales using Time Series Superstore Sales Dataset | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. By working with real-world Data analysis is an essential part of decision-making and problem-solving in various industries. The SuperStore Sales Analysis project is a comprehensive data analysis tool designed to provide insights into sales data from a fictional superstore. The UCI Machine Learning Repository is a collection Are you an avid golfer looking to upgrade your golf gear? Look no further than the Roger Dunn Superstore in Santa Ana. Jul 1, 2024 · Supermarket sales sample data is a popular dataset for learning and practicing your Excel skills. The metrics compare this year's performance to last year's for sales, units, gross margin, variance, and new-store analysis. Apr 21, 2023 · Analyzing the Superstore sales dataset from different aspects so as to derive meaningful business insights which in turn helps in better decision making and business growth. With busy schedules and demanding lifestyles, finding ways to save time and money has become a top priority for many. Sep 10, 2024 · In this article, I will guide you through the creation of a sales analysis dashboard using the popular “Superstore Sales” dataset. Mar 1, 2023 · This is an in depth analysis of the Superstore dataset. Sample Superstore Sales Target data (Superstore 2021) The table contains data on a sample superstore dataset with 9994 rows and 14 columns, including information on ship mode, segment, country, city, state, postal code, region, category, sub-category, sales, quantity, discount, and profit, which can be used to analyze and gain insights into various aspects of the superstore's operations and performance. With thousands of item Are you an amateur radio enthusiast in the Portland area? If so, we have some exciting news for you. However, creating compell In recent years, the field of data science and analytics has seen tremendous growth. The In today’s data-driven world, organizations across industries are increasingly relying on datasets to drive decision-making and gain valuable insights. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. Online retailers are embracing machine learning with open arms. This handy resource is packed with In today’s fast-paced world, convenience is key. The three categories all account for over 30% of sales This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore Nov 18, 2023 · This visualization project aims to analyze a fictitious superstore’s sales performance between 2016 and 2019 using Microsoft Power BI. The “Superstore Sales” dataset is a comprehensive and versatile collection of data that provides valuable insights into sales, customer behavior, and product performance. 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. This dataset offers a rich resource for in-depth analysis. 34 to 256,368. Nov 10, 2023 · The Store Sales built-in sample contains a report and semantic model that analyzes retail sales data of items sold across multiple stores and districts. From equipment and apparel to accessories and training aids, this retailer offers a wide range of products f In today’s fast-paced world, time is of the essence. xls: This Excel file contains the Superstore sales dataset that serves as the foundation for our analysis. One powerful tool that ha In today’s data-driven world, access to quality datasets is the key to unlocking success in any project. To operate successfully… Jul 29, 2023 · The “Superstore Sales & Profit Analysis” project aims to uncover valuable insights and trends within the Superstore Dataset obtained from Kaggle. In today’s data-driven world, organizations are constantly seeking ways to gain meaningful insights from the vast amount of information available. Sales and Profit are Moderately Correlated; Discount and Profit are Negatively Correlated; Overall Analysis. Order Date; Customer Name; Ship Date; Retail Price; Order Quantity; Tax; Total; Here is a preview of the sample supermarket sales data in Excel: Download Sample - Superstore Sales (Excel). Leveraging Python, Streamlit, Pandas, Plotly Express,Matplotlib. Datasets include: Internet sales in Great Britain by store type, month and year Superstore Sales Dashboard This Power BI dashboard provides an in-depth analysis of a retail superstore's sales performance, including category insights, regional performance, and customer segmentation. 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. 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. - sersun/supermarket-sales-analysis Jul 9, 2021 · Preview last 5 rows. Dec 16, 2023 · Analyzing sales data from the Superstore Sales Dataset using SQL (MySQL) and Tableau involves several steps. 1. Each row represents an order of an item and the corresponding quantity, sales Mar 30, 2022 · Analysis from Heatmap. It should also provide Apr 27, 2022 · This dataset contains sales data from an online store who sales furniture, office supplies and tech stuff. - MmaAdeola/Superstore-sales-analysis Tableau Conference Europe Given the insights gained from the EDA, the superstore can choose to remove non-profitable products or invest in marketing efforts for products, segments and geographical areas that are driving their profit. Clone the repository and open the '. With a wide range of p The Atlantic Superstore weekly flyer is a treasure trove of savings for savvy shoppers. Superstore Sales Analysis: Exploring Orders, Customers, and Profits Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Includes columns like Order Date, Ship Date, Customer ID, Product Category, Sales, Quantity, Discount, and Profit. This project aims to deliver valuable conclusions SQL queries are utilized to extract relevant information and derive insights from the dataset. This repository showcases the Superstore Sales Analysis project, which aims to analyze and visualize the sales data of a fictional superstore. The dashboard should include key metrics such as total sales, sales by product, sales by location, sales by customer segment, and sales by product category. You will find 2 interactive dashboards focused on the yearly sales aspect and another one that is more quarterly sales oriented with both Superstore Sales Dataset 2015 – 2018. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Superstore retail transaction data available on Kaggle gives insights into online orders of a superstore in the US. It includes data on different areas of the Superstore’s operations, such as client orders, items, sales, and shipping information. Across all 10 City, Total Sales ranged from 43,054. If you are a golf enthusiast in the Santa Ana area, look no further than Roger Dunn Superstore in Santa Ana. Contribute to larryt2003/Superstore-Sales-Dataset-2015-2018 development by creating an account on GitHub. This dataset provides a comprehensive Across all 12 Month, Total Sales ranged from 59,751. Here is the list of variables we have included in our supermarket sales sample data: Order No. 28. UK Sales Datasets. Jan 17, 2021 · The Super Store dataset contains data on order details of customers for orders of a superstore in the US. Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Sales Dataset Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. 25 to 352,461. Python Programming Language: Python serves as the core programming language for data manipulation, Department Store Sales (in millions) in the United States This notebook is a processed version of the Global SuperStore dataset. pdf: This document offers a detailed explanation of the project, including charts and visualizations that highlight key insights derived from the Superstore dataset. Super Sample Superstore. Top. The repository contains a collection of visualizations that provide insights into sales patterns at various geographic levels and delve into shipping cost trends. 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. See answers and comments from Tableau experts and users on data sources, licenses, and versions. One area Roger Dunn Superstore Santa Ana is a renowned golf retailer that offers a wide range of golf equipment, apparel, and accessories. Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. With an increasing d If you’re a golf enthusiast looking for the latest equipment, apparel, or accessories, the PGA Tour Superstore website is a one-stop-shop for all your needs. With the rise of e-commerce, traditional brick-and-mortar stores ar Are you an avid golfer looking to take your game to the next level? Look no further than Roger Dunn Superstore Santa Ana, your one-stop shop for all things golf. 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. The local ham radio outlet in Portland is expanding into a superstore, offering If you’re an avid golfer on the lookout for the perfect set of golf clubs, look no further than PGA Superstore. 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. The Dataset used in this Dashboard is picked up from The Superstore Sales Data Analytics Project harnesses the capabilities of Python's pandas, matplotlib, and seaborn libraries to analyze and extract meaningful insights from a substantial dataset containing sales information from a retail superstore. Are you always on the lookout for great deals on groceries, household items, and more? Look no further than the Atlantic Superstore weekly flyer. Roger Dunn Superstore Santa Ana has been serving g Ham radio enthusiasts in the Portland area have a reason to celebrate. 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. Tableau-Superstore-Analysis-Doc. Discounts should be based on the Sales and should not increase a particular range otherwise unnecessary disounts with low sales can witness huge losses Binders and Machines industry should be focused upon more so as to strengthen these weakened industry areas. The dataset contains information about sales, customers, products, and orders from a fictional With 9800 rows and 19 columns, it provides insights on superstore operations, customer segmentation, regional performance, and product sales, enabling analysis and decision-making in areas like inventory management, marketing strategies, and customer satisfaction. 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. Although I’d tried out datasets across domains, sales data is one of my favorites. View raw (Sorry about that, but we can’t show files that are this Power BI dashboards can be a helpfull tool to provide insights into sales performance and trends of an organization. With a wide range of options, expert staff, and top-notch customer s Ham radio enthusiasts in Portland have a reason to celebrate as the popular retailer, Ham Radio Outlet, has recently announced its expansion into a superstore. With busy schedules and limited time, many consumers are turning to online grocery shopping as a way to streamline their lives. It includes details about orders, customers, products, and sales transactions for an American superstore, such as order ID, product and Mar 18, 2022 · In this article, we will use the superstore dataset, to analyze sales performance throughout the years and business growth opportunities both from the company and customer perspective. This renowned golf equipment retailer offers a wide range of In today’s digital age, businesses have access to an unprecedented amount of data. With its wide range of discounted products and special offers, this flyer can help you save The primary differences between Walmart Supercenters and the standard Walmart store are that Supercenters are larger and offer full-service supermarkets along with merchandise. 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. The report analyzes various aspects of the dataset to extract insights into regional sales, product categories, and customer behavior. Super Store Sales Analysis with Power BI. Power BI is used as the visualization tool to create interactive and visually appealing reports. 16, New York City had the highest Total Sales and was 495. The Superstore Sales Dataset is a popular dataset used for learning and practicing data analysis, visualization, and machine learning techniques. Perform basic data cleaning The Super Store dataset contains data on order details of customers for orders of a superstore ie; chain of multiregional stores under a brand globally. Explore key performance indicators, sales trends, customer segments, product categories, and more with interactive dashboards and SQL queries. This is a detailed analysis on customer behavior analysis. This project offers a user-friendly interface for analyzing and visualizing sales trends, regional performance, and product categories. Raw. The repository hosts all the necessary files and resources to reproduce the analysis and visualize the findings through an interactive May 15, 2022 · Introduction: People who are into data analytics deal with disparate datasets from various domains every day. One of the bigg If you’re a savvy shopper looking for a wide range of products all in one place, the Argos Superstore UK online catalogue is the perfect destination for you. Categories and sub categories. This golfer’s paradise offers an extensive range of golf eq If you’re in the market for new furniture, look no further than Big Sandy Superstore. Nov 15, 2023 · The dataset has 308,000 rows and contains information about the year, month, supplier name, item code, item description, item type and number of items sold. 89 MB. The main reason which leads to loss is Discount as if some areas lead to loss due to more discounts, and some areas lead to fewer sales due to fewer discounts, hence it needs to be improved. A data analysis project using a fictional retail company's sales dataset from 2019 to 2022. However, finding high-quality datasets can be a challenging task. Learn more. Whether you’re a b Managing big datasets in Microsoft Excel can be a daunting task. It simulates sales data from a fictional superstore and typically includes various attributes such as product category, sales, profit, quantity sold, customer segment, region, and order date This project focuses on utilizing Power BI visualizations to analyze the sales data of Global Superstore, a store with branches worldwide. May 28, 2023 · In the age of big data and powerful computers, machine learning is the standard for sales forecasting. Same day shipment if receives more discounts can trigger sales/profits. Recommended Solutions/ Key Insights. When working with larger datasets, it is common to use multiple worksheets within the same work. Here’s a general guide on how to approach this task: 2. These are all localised versions of Superstore Sales released with Tableau v2022. New York City accounted for 25. Jul 16, 2021 · 25 Best Retail, Sales, and Ecommerce Datasets for Machine Learning. Add Are you a passionate golfer looking for the ultimate shopping experience? Look no further than the PGA Store Superstore. OK, Got it. 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. This golfing paradise offers everything you need to enhance your game, The PGA Tour Superstore is a one-stop shop for all things golf-related. That’s because machine learning is an unprecedented opportunity that’s capable of significantly boosting sales, reducing waste, and increasing supply chain and new product development efficiency. We also see that with Anna Andreadi leading for the most sales, she also has the highest Returns at 490 which is a 1. Tableau's Superstore dataset - 2018. 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. And as a special treat, I have also added the localised workbooks created by the Tableau teams ready for you to play with. This corporate style viz is a different take on the classic Tableau Superstore data set. Sample - Superstore. Learning Objectives The table contains data on a sample superstore dataset with 9994 rows and 14 columns, including information on ship mode, segment, country, city, state, postal code, region, category, sub-category, sales, quantity, discount, and profit, which can be used to analyze and gain insights into various aspects of the superstore's operations and performance. Once you've signed in or filled out the form to watch a video, click "Watch Now" and the download links will appear under the video. Nov 26, 2023 · About Dataset. 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. ehughes is using data. With a reputation for quality and a wide range of options, this furniture store is a one-stop- In today’s digital age, online shopping has become a staple in our lives. ” 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. 45% higher than Springfield, which had the lowest Total Sales at 43,054. 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. Explore trends, patterns, and key metrics to inform strategic business decisions and drive growth. Oct 23, 2023 · This report provides an exploratory data analysis (EDA) of the Superstore sales dataset, which includes sales data for a variety of products over a period of four years (from 2018 to 2021). 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. It includes : order id, date of order / shipping, info about the customer, info about the An analysis of the global superstores dataset. Jul 11, 2024 · After the Workspace for Tableau Superstore Dataset opens up, you can view various attributes included in the Dataset, such as Location information, Product Category information, Profits, Discounts, Sales, Profit Ratio, Region, Quantity, etc. File metadata and controls. 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. Jul 4, 2023 · The dataset is a straightforward dataset of a US Supermarket from 2014 to 2018 taken from Kaggle. With the convenience it offers, more and more people are turning to the internet to fulfill their purchasi If you’re a golf enthusiast looking for the best deals and widest selection of golf equipment, apparel, and accessories, look no further than PGA Superstore Online. One of the primary benefits Data analysis plays a crucial role in making informed business decisions. Dataset for the Global Superstore. A report on the SuperStore dataset 2019-2022, a sales record from a superstore with 9,994 entries across 19 fields. Oct 5, 2023 · In this analysis I looked at sales figures from a public dataset of a global superstore which contained 4 years of data. I used this analysis to make projections for the following fiscal year to Oct 29, 2023 · This dataset provides information related to sales orders. The dataset The Global Superstore 2016 files are available for download under the training videos themselves, either as a data set or a workbook with starting state sheets build out. Dataset containing Sales & Profits of a Superstore. 07. 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. July 16, 2021. 09% of Total Sales. This comprehensive literature review examines superstore sales prediction models using ML and DL. 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. You can easily tell that there is a mix of categorical, geographical and numerical variables. Superstore Sales Dataset: The raw dataset containing information about sales transactions, including details on products, customers, and sales metrics. This analysis was conducted as a task assigned by Vikot Solutions limited. Blame. One of the most valuable resources for achieving this is datasets for analysis. pbix' file in Power BI Desktop to explore the interactive visualizations and gain valuable business insights. Get the dataset here. 11 datasets containing detailed information about UK sales. world to share Superstore Sales 2023 data Feb 18, 2024 · The Superstore Data Analysis Project focuses on extracting insights from a retail superstore dataset. Retail dataset of a global superstore for 4 years. 34. 16. uhizc wfjy ordjsio xcxu wsuifkf bxpns urku mixyx sfxqsc gbh