Superstore sales dataset

Superstore sales dataset. Tableau-Superstore-Analysis-Doc. Refresh. 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. Online retailers are embracing machine learning with open arms. 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. Learn more. 07. At 256,368. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. world to share Superstore Sales 2023 data Feb 18, 2024 · The Superstore Data Analysis Project focuses on extracting insights from a retail superstore dataset. Dataset containing Sales & Profits of a Superstore. Dec 16, 2023 · Analyzing sales data from the Superstore Sales Dataset using SQL (MySQL) and Tableau involves several steps. UK Sales Datasets. Jul 16, 2021 · 25 Best Retail, Sales, and Ecommerce Datasets for Machine Learning. New York City accounted for 25. xls: This Excel file contains the Superstore sales dataset that serves as the foundation for our analysis. Get the dataset here. Explore trends, patterns, and key metrics to inform strategic business decisions and drive growth. 25 to 352,461. Data Tables. Across all 12 Month, Total Sales ranged from 59,751. This corporate style viz is a different take on the classic Tableau Superstore data set. Here’s a general guide on how to approach this task: 2. Predict Sales using Time Series. 16, New York City had the highest Total Sales and was 495. OK, Got it. 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. 45% higher than Springfield, which had the lowest Total Sales at 43,054. Sample - Superstore. To facilitate time-based analysis, a Date Table was also created and integrated into the model. Super Sample Superstore. Jul 29, 2023 · The “Superstore Sales & Profit Analysis” project aims to uncover valuable insights and trends within the Superstore Dataset obtained from Kaggle. - 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. 34. Sales and Profit are Moderately Correlated; Discount and Profit are Negatively Correlated; Overall Analysis. This dataset provides a comprehensive ehughes is using data. . Download or explore online a sample data file of superstore sales transactions with 9800 rows and 19 columns. 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. 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. Jan 17, 2021 · The Super Store dataset contains data on order details of customers for orders of a superstore in the US. 16. 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. Jul 9, 2021 · Preview last 5 rows. 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. A repository of Jupyter notebooks for data analysis, visualization, and machine learning using the Superstore Sales Dataset. Gigasheet is a spreadsheet platform that lets you analyze large-scale data without coding or database. Find and download the Superstore Sales data set used in Tableau tutorials and videos. 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. Sep 10, 2024 · The “Superstore Sales” dataset comprises several tables: Orders, Returns, and People. Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. A report on the SuperStore dataset 2019-2022, a sales record from a superstore with 9,994 entries across 19 fields. pdf: This document offers a detailed explanation of the project, including charts and visualizations that highlight key insights derived from the Superstore dataset. 34 to 256,368. 09% of Total Sales. 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. Across all 10 City, Total Sales ranged from 43,054. 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. Contribute to larryt2003/Superstore-Sales-Dataset-2015-2018 development by creating an account on GitHub. I used this analysis to make projections for the following fiscal year to Superstore Sales Dataset 2015 – 2018. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. 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. July 16, 2021. See answers and comments from Tableau experts and users on data sources, licenses, and versions. 11 datasets containing detailed information about UK sales. This is a detailed analysis on customer behavior analysis. This includes the state, region, order date, shipping date, product ordered etc. 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. The data comprises sales data for three product categories: Furniture, Office Supplies, and Technology Jul 9, 2021 · Preview last 5 rows. 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. ihnbb wrcpg isxt wqdcs yoamw uxpx peug pbcvmi rtd qfz