Superstore sales dataset
Superstore sales dataset. Datasets include: Internet sales in Great Britain by store type, month and year 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. Find and download the Superstore Sales data set used in Tableau tutorials and videos. Download or explore online a sample data file of superstore sales transactions with 9800 rows and 19 columns. This is a detailed analysis on customer behavior analysis. Dataset for the Global Superstore. 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. Dec 16, 2023 · Analyzing sales data from the Superstore Sales Dataset using SQL (MySQL) and Tableau involves several steps. This includes the state, region, order date, shipping date, product ordered etc. world to share Superstore Sales 2023 data Feb 18, 2024 · The Superstore Data Analysis Project focuses on extracting insights from a retail superstore dataset. Sales and Profit are Moderately Correlated; Discount and Profit are Negatively Correlated; Overall Analysis. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. xls: This Excel file contains the Superstore sales dataset that serves as the foundation for our analysis. July 16, 2021. Super Sample Superstore. Get the dataset here. 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. See answers and comments from Tableau experts and users on data sources, licenses, and versions. Tableau-Superstore-Analysis-Doc. Jul 16, 2021 · 25 Best Retail, Sales, and Ecommerce Datasets for Machine Learning. Across all 12 Month, Total Sales ranged from 59,751. 25 to 352,461. 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. Gigasheet is a spreadsheet platform that lets you analyze large-scale data without coding or database. 16, New York City had the highest Total Sales and was 495. 45% higher than Springfield, which had the lowest Total Sales at 43,054. 16. pdf: This document offers a detailed explanation of the project, including charts and visualizations that highlight key insights derived from the Superstore dataset. Jul 9, 2021 · Preview last 5 rows. 11 datasets containing detailed information about UK sales. - sersun/supermarket-sales-analysis This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore Mar 30, 2022 · Analysis from Heatmap. 09% of Total Sales. Across all 10 City, Total Sales ranged from 43,054. The data comprises sales data for three product categories: Furniture, Office Supplies, and Technology Jul 9, 2021 · Preview last 5 rows. Sample - Superstore. Sep 10, 2024 · The “Superstore Sales” dataset comprises several tables: Orders, Returns, and People. A report on the SuperStore dataset 2019-2022, a sales record from a superstore with 9,994 entries across 19 fields. You can easily tell that there is a mix of categorical, geographical and numerical variables. The report analyzes various aspects of the dataset to extract insights into regional sales, product categories, and customer behavior. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. The data comprises sales data for three product categories: Furniture, Office Supplies, and Technology May 28, 2023 · In the age of big data and powerful computers, machine learning is the standard for sales forecasting. 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. OK, Got it. The dataset simulates sales data from a fictional superstore with various attributes such as product category, sales, profit, quantity sold, customer segment, region, and order date. 07. Predict Sales using Time Series. Refresh. Online retailers are embracing machine learning with open arms. This dataset provides a comprehensive ehughes is using data. Perform basic data cleaning 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. New York City accounted for 25. Dataset containing Sales & Profits of a Superstore. At 256,368. Learn more. 34 to 256,368. 34. A repository of Jupyter notebooks for data analysis, visualization, and machine learning using the Superstore Sales Dataset. This corporate style viz is a different take on the classic Tableau Superstore data set. UK Sales Datasets. Explore trends, patterns, and key metrics to inform strategic business decisions and drive growth. Contribute to larryt2003/Superstore-Sales-Dataset-2015-2018 development by creating an account on GitHub. Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. Data Tables. To facilitate time-based analysis, a Date Table was also created and integrated into the model. I used this analysis to make projections for the following fiscal year to Superstore Sales Dataset 2015 – 2018. Each row represents an order of an item and the corresponding quantity, sales Feb 6, 2024 · The global superstore sales dataset used for this project is publicly available on Kaggle. The dataset contains information about sales, customers, products, and orders from a fictional 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. To operate successfully… 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. Jan 17, 2021 · The Super Store dataset contains data on order details of customers for orders of a superstore in the US. This comprehensive literature review examines superstore sales prediction models using ML and DL. 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. Here’s a general guide on how to approach this task: 2. Jul 29, 2023 · The “Superstore Sales & Profit Analysis” project aims to uncover valuable insights and trends within the Superstore Dataset obtained from Kaggle. . xeasys yhaufo sdbl ntu doeio ffet ndheifj wicck flzhjog bual