Superstore dataset description

Superstore dataset description. Case studies are examples of a relevant event that can be analyzed to learn about In scientific research, a descriptive correlational method refers to a type of study in which information is collected without making any changes to the study subject. 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. , Standard Class, Second Class, First Class, Same Day). With busy schedules and demanding lifestyles, finding ways to save time and money has become a top priority for many. 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. One valuable resource that In today’s fast-paced world, having a reliable source of backup power is essential. It identifies key trends, regional variations, and product performance, using data analysis and machine learning techniques to guide business strategy and optimize performance. The data can be accessed via this link. English (US) 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 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. The dashboard presents detailed insights into business performance metrics, allowing for informed strategic decision-making. May 28, 2023 · DL algorithms process large real-time datasets better. All the material can be found here. Data Tables This project explores the SuperStore dataset to uncover insights into sales, profit, and customer behavior. 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. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. We also wrote a homework assignment with detailed solutions. In the real world, you will most likely be connecting to databases; however, working with Excel files is similar – sheets in Excel are treated similarly to tables in a database. Our analysis is based on a superstore dataset for US country where the products are ordered between 2015 and The Global Superstore dataset is a popular sample dataset often used for data analysis and visualization exercises. One area Roger Dunn Superstore Santa Ana is a renowned golf retailer that offers a wide range of golf equipment, apparel, and accessories. This handy resource is packed with In today’s fast-paced world, convenience is key. The repository hosts all the necessary files and resources to reproduce the analysis and visualize the findings through an interactive Sep 29, 2023 · In this data analysis project, I will conduct an Exploratory Data Analysis (EDA) on a superstore sales dataset. DL research found the best hybrid processing methods for real-time stock market data. With thousands of item Are you an amateur radio enthusiast in the Portland area? If so, we have some exciting news for you. Dataset containing Sales & Profits of a Superstore. Add Are you a passionate golfer looking for the ultimate shopping experience? Look no further than the PGA Store Superstore. 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. Data Reading: The dataset was read and imported into the project using the popular pandas library, allowing for efficient data manipulation and analysis. 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. Get the dataset here. Nov 19, 2023 · Introduction. Nov 19, 2023 · We explored the Superstore dataset through Power BI, unearthing insights from sales and profit data. The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. Practice Your Data Analysis Skills as a Superstore Data Analyst Sample Superstore Dataset | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Jun 9, 2023 · The dataset represents sales data from a fictional superstore and contains information about various aspects of the sales transactions, including sales, quantity, discount, and profit, among Are you always on the lookout for great deals on groceries, household items, and more? Look no further than the Atlantic Superstore weekly flyer. Each analysis is documented with the SQL queries used and explanations Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Dataset Feature selection - Superstore Dataset | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. So once that you download the dataset, create a folder named data and put your superstore. Right-click a Sep 8, 2021 · Descriptive, Predictive, Prescriptive Analysis of the Sales SuperStore Dataset through these 5 dashboards. Published: Sep 8, 2021 Updated: Dec 8, 2022. The proposed model predicted superstore sales with This dataset shows the shipped goods to USA superstore, collects information from 9994 item, Each row represents a item, each column contains item’s attributes. The Global Superstore dataset is data from a fictional global retail chain that sells office supplies. There are a total of 2000 records May 13, 2024 · The dataset dictionary would provide a comprehensive overview of each dataset, including column names, data types, descriptions, and potentially any relationships or dependencies between the datasets. 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). UK Sales Datasets. Tableau's Superstore dataset - 2018. 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. Apr 28, 2024 · Dataset Owner Acknowledgement: Shout out to Harish for contributing to this superstore dataset and constantly providing clarifications of the data nature. 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. Description contains the count of features, mean of them, Standard deviation, minimum and maximum values in that particular attribute, 25%, 50%, 75% of the values in the dataset. The dataset is in a CSV format with 51,290 observations and 24 features. Mar 30, 2022 · View the statistical description of the Dataframe. - Mohab29/Sample-Superstore This repository showcases various data analyses on the popular Superstore dataset using SQL queries. This is a detailed analysis on customer behavior analysis. The large dataset serves as a 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. pdf: This document offers a detailed explanation of the project, including charts and visualizations that highlight key insights derived from the Superstore dataset. The dataset contains information about sales, customers, products, and orders from a fictional Super Sample Superstore. They wants to know the total revenue generated by the store. However, finding high-quality datasets can be a challenging task. As the volume of data continues to grow, professionals and researchers are constantly se. One of the primary benefits Data analysis has become an indispensable part of decision-making in today’s digital world. After downloading the dataset, we inspected it to identify any missing or inconsistent USA Online Retail Store SuperStore Dataset 2019-2022 | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. 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. 3 Sep 10, 2024 · The “Superstore Sales” dataset comprises several tables: Orders, Returns, and People. , specializes in furniture, office supplies, and technology products. S. Sample - Superstore. 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. In today’s data-driven world, businesses are constantly seeking ways to gain a competitive edge. May 4, 2023 · We downloaded the Superstore dataset from Kaggle, which is a free and open-source platform for data analysis. g. It contains information about products, sales, profits, and so on that you can use to identify key areas for improvement within this fictitious company. 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 Oct 23, 2023 · In conclusion, this EDA report has provided insights into the Superstore sales dataset. superstore_df. Description of the data. One powerful tool that ha In today’s data-driven world, access to quality datasets is the key to unlocking success in any project. Import and… Nov 15, 2023 · A list of sales and movement data per item and department for each month. Dataset Involved: Dataset Preparation: The Superstore sales data is obtained and imported into Power Query for data cleaning and transformation. 3)Using Global Superstore, identify the Regions where Top 20 Customers that have overall Profit Ratio (Profit as % of Sales) which is double the Profit Ratio of other Customers in the Region. They might take as their subject something visual, for instance, and describe its characteristics i In today’s fast-paced and data-driven world, project managers are constantly seeking ways to improve their decision-making processes and drive innovation. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. 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. In the map below the pie chart, you can see new store and same store figures for different postal codes for just Fashions Direct. The Superstore Sales Dataset is a popular dataset used for learning and practicing data analysis, visualization, and machine learning techniques. The dataset contains sales and profit data for a variety of products over a four-year period. I have also submitted a notebook in Kaggle for the same dashboard: Link to Notebook in Kaggle . A comprehensive Power BI dashboard utilizing the Global Superstore dataset, providing robust and dynamic data visualizations. See full list on hevodata. All of the reports on the page also show the Fashions Direct data. With a wide range of p The Atlantic Superstore weekly flyer is a treasure trove of savings for savvy shoppers. The Descriptive statistics are statistics that describe the central tendency of the data, such as mean, median and mode averages. Nov 23, 2023 · Join me on a journey through the world of retail with Power BI masterpiece, the "Superstore Dashboard Analysis. The analysis has revealed a positive correlation between sales and profit, and that the technology category have the highest sales and profit. 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. - sersun/supermarket-sales-analysis Jul 16, 2021 · While slightly older, this dataset can be converted into binary labels if needed. Whether you’re a b Managing big datasets in Microsoft Excel can be a daunting task. In the map, hover over a bubble to see the values for that area. This renowned golf equipment retailer offers a wide range of In today’s digital age, businesses have access to an unprecedented amount of data. The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. 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. Consumer and product Analytics on Global Super Store Data. It generally includes the following key fields: Order ID: Unique identifier for each order. Here’s a general guide on how to approach this task: 2. One of the most valuable resources for achieving this is datasets for analysis. 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. 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. csv file there on that particular directory or folder. Dec 16, 2023 · Analyzing sales data from the Superstore Sales Dataset using SQL (MySQL) and Tableau involves several steps. M. Variance in data, also known as a dispersion of the se A descriptive-normative survey combines two research methods: gathering information to describe the object of study as it is, has been or is viewed (descriptive method); and critiq Are you a freelancer looking to boost your sales on Fiverr? One of the most crucial elements of your success on this platform is crafting an enticing and persuasive description for Descriptive criticism provides a factual analysis, evaluation or judgement of the quality of a literary or artistic work, musical performance, art exhibit or dramatic production. python eda data-visualization data-analysis study-project Resources. 3 Jul 19, 2019 · AI-enhanced description. Super Store Sales Analysis with Power BI. Learn more. Whether you are a business owner, a researcher, or a developer, having acce While it’s not easy to find a painting by searching by its description, you are likely to be more successful if you use specific terminology to identify key features of the artwork Some examples of descriptive research include case studies and preliminary observation of a group. 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. However, creating compell In recent years, the field of data science and analytics has seen tremendous growth. We also demonstrated step-by-step data transformation, visualization, and analysis techniques and created impactful visualizations including charts, cards, slicers, and maps for comprehensive insights. => 4 Sale datasets (I am going to split them into 5 different dataset like 2014–2015–2016–2017 After you select Sample - Superstore, your screen will look something like this: The Sample - Superstore data set comes with Tableau. Country: Country where the order was shipped. The Global Superstore dataset provides a comprehensive glimpse into the retail landscape, encapsulated within an extensive Excel file featuring three distinct sheets: ‘Orders The dataset was obtained from Kaggle, specifically focusing on the superstore dataset, which provided the necessary information for the analysis. This dataset includes twenty-four (24) sets of sales records from the Orders table, Return tables, and people tables The Global Superstore dataset. With the abundance of data available, it becomes essential to utilize powerful tools that can extract valu If you’re a freelancer looking to showcase your skills on Fiverr, one of the most important aspects of your profile is the description. Ecommerce Data for Machine Learning. Dataset includes columns like: Ship Mode: Shipping method used for the order (e. Utilizing Power BI, this project delves into various aspects such as overall performance, category/sub-category analysis, sales trends, profitability, return analysis, regional This project’s data is open source, it is the Global Superstore dataset obtained from Kaggle. Through meticulous ETL processes, handling data quality issues, and leveraging Simple description of a superstore sales dataset Topics. csv dataset on a directory called data. Sep 7, 2021 · Tableau Superstore Dataset is a sample Dataset supplied by Tableau for new users to learn about and experiment with Tableau's various products and functionalities. 1 star Watchers. 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. Perform basic data cleaning Jul 29, 2023 · The “Superstore Sales & Profit Analysis” project aims to uncover valuable insights and trends within the Superstore Dataset obtained from Kaggle. Readme Activity. To facilitate time-based analysis, a Date Table was also created and integrated into the model. - WuCandice/Superstore-Sales-Analysis This notebook is a processed version of the Global SuperStore dataset. This dataset contains the below columns. If you are a golf enthusiast in the Santa Ana area, look no further than Roger Dunn Superstore in Santa Ana. 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. Sample superstore dataset contains 13 columns and 9995 rows of observation. The dataset contains information about sales transactions, customer details, product categories, and regional sales performance. Economic Census: This retail dataset provides a detailed portrait around business happenings across several industries and businesses once every five years. xls: This Excel file contains the Superstore sales dataset that serves as the foundation for our analysis. 11 datasets containing detailed information about UK sales. Order Date: Date when the order was placed. " This comprehensive exploration uncovers hidden insights within this dataset Sample Superstore that was shipped with Tableau 2020. Segment: Customer segment (e. This is the default view of a dataset in Jupyter Notebook The case includes three detailed tutorials that can be used by instructors in the classroom to introduce students to Tableau in the context of retail strategy and operations (using the Global Superstore dataset that is made available with Tableau). This report analyzes various aspects of the dataset to extract meaningful insights. Feb 18, 2024 · The Superstore Data Analysis Project focuses on extracting insights from a retail superstore dataset. Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. The dataset Mar 23, 2022 · This is how my dataset looks like. To view the statistical description of the dataset, use the describe() method. 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. Let’s see the description of Apr 3, 2018 · 2)Using Global Superstore, identify the Sub-Categories where Top 20 Customers that have Sales more than the other Sub-Categories in the same Region. . One powerful tool that has gained A descriptive poem is a poem that contains a large amount of descriptive detail. With busy schedules and limited time, many consumers are turning to online grocery shopping as a way to streamline their lives. We are going to create 7 datasets from this one big dataset. Ship Date: Date when the order was shipped. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. This includes the state, region, order date, shipping date, product Jul 9, 2021 · The data set contains sales, profit and geographical information of Super Store. Roger Dunn Superstore Santa Ana has been serving g Ham radio enthusiasts in the Portland area have a reason to celebrate. Feb 10, 2024 · In conclusion, this data analysis project provided a comprehensive exploration of the Global Superstore 2016 dataset. The repository contains a collection of visualizations that provide insights into sales patterns at various geographic levels and delve into shipping cost trends. Our task is to analyse the sales data and identify weak areas and opportunities for Super Store to Oct 29, 2023 · In this data analysis project, we explored a dataset from a superstore, examining various aspects related to store sales and profitability. com Jan 17, 2021 · The Super Store dataset contains data on order details of customers for orders of a superstore in the US. Tableau-Superstore-Analysis-Doc. Monika Mishra Follow. In today’s data-driven world, organizations are constantly seeking ways to gain meaningful insights from the vast amount of information available. Superstore, a fictional retail entity in the U. The analyses cover a range of business insights, including sales performance, customer segmentation, and product profitability. describe() 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. A Popular Dataset that can be used for your Power BI & Tableau Project Superstore Dataset | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Explore trends, patterns, and key metrics to inform strategic business decisions and drive growth. Oct 26, 2017 · PDF | this Article is analysis form superstore dataset from tableau, i just do descriptive from this dataset suggestion was needed for future article xoxo | Find, read and cite all the research Nov 10, 2023 · Both the cards and the bar chart now show data for Fashions Direct. A superstore wants insights on their data. Jan 3, 2024 · For this project, we utilized a dataset from the Global Superstore company. , Consumer, Corporate, Home Office). This report provides an in-depth analysis of the company's performance from 2019 to 2022, highlighting key areas of strength and potential opportunities for growth. 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. 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. May 15, 2022 · The dataset that I’ve used here is the Superstore dataset that is publicly available and everyone might be aware of. Datasets include: Jan 15, 2020 · If you notice form the above code, it's implying that we need to put our superstore. Dataset and use case presentation Data analysis : 1. This corporate style viz is a different take on the classic Tableau Superstore data set. This is the link to the dataset: Link to Dataset in Kaggle . This project focuses on utilizing Power BI visualizations to analyze the sales data of Global Superstore, a store with branches worldwide. Data analysis plays a crucial role in making informed business decisions. This dataset provides a comprehensive Nov 25, 2023 · Introduction to the dataset. The information ranges from the national level down to the local level. 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 well-crafted description can attract poten “Descriptive economics” involves gathering and compiling data about the economy, while “economic theory” involves the interpretation of this data as well as the formation of hypoth In today’s data-driven world, organizations across industries are increasingly relying on datasets to drive decision-making and gain valuable insights. Stars. Apr 27, 2022 · At the menu, connection to the dataset, data cleaning with Power Queries, Exploratory data analysis, then a bit of dashboard design. Data Cleaning and Transformation: Using Power Query, the data is cleaned by removing irrelevant columns, filtering out unnecessary data, and handling missing values. lvxl drfsgwg vyalgb ubloog iicgwru wku hvbo zvhps gnd kfuwku