Prepare and analyze the superstore dataset. 4. Our analysis is based on a superstore dataset for US country where the products are ordered between 2015 and 2018. 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. 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. 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. 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 Overview. The x-axis is typically used to represent independent variables Data analysis plays a crucial role in making informed business decisions. This handy resource is packed with In today’s fast-paced world, convenience is key. We are going to create 7 datasets from this one big dataset. Dec 16, 2023 · Analyzing sales data from the Superstore Sales Dataset using SQL (MySQL) and Tableau involves several steps. Sales and Profit are Moderately Correlated; Discount and Profit are Negatively Correlated; Overall Analysis. 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 UCI Machine Learning Repository is a collection When working with large datasets in Excel, it’s essential to have the right tools at your disposal to efficiently retrieve and analyze information. Whether you are a business owner, a researcher, or a developer, having acce Aspiring human resources professionals often face the challenge of preparing for HR exams, which test their knowledge and understanding of various aspects of the field. Add Are you a passionate golfer looking for the ultimate shopping experience? Look no further than the PGA Store Superstore. This golfing paradise offers everything you need to enhance your game, Excel is a powerful tool that allows users to organize and analyze data efficiently. This dataset provides a comprehensive Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. I save a new version of my dataset after every major change. The “Superstore Sales” dataset is a comprehensive and versatile collection of data that provides valuable insights into sales, customer behavior, and product performance. Feb 23, 2023 · The superstore dataset was downloaded from kaggle using phyton, furthermore, library for deep analysis of this project used pandas, matplotlib and seaborn. 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. 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. Try Tableau for Free; Buy Tableau Now; May 18, 2023 · RowID column duplicates the default excel rowID for each attribute in the dataset, while the country column was removed because all data in the superstore dataset are from the same country namely SQL queries are utilized to extract relevant information and derive insights from the dataset. The dataset comprises multiple sheets: Description and Questions; Orders; Returns; Users; The data is sourced from Kaggle (an Excel extract), see here to find it. DATA ANALYSIS AND DASHBOARD. At the very least, I will have a new version after each and every one of the steps I list below. Superstore analysis. 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. 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. Jul 11, 2024 · Tableau is a perfect tool to leverage Business Intelligence and perform an in-depth and insightful analysis of this data. , specializes in furniture, office supplies, and technology products. This dataset was found on the sight Hackernoon. In today’s data-driven world, organizations are constantly seeking ways to gain meaningful insights from the vast amount of information available. The data has 51290 rows, and 24 columns. The The data for this analysis is sourced from the Superstore Sales dataset, which includes detailed information on orders, returns, users, and various dashboards and pivot tables. The Data Analysis with Tableau Course will teach you how to manipulate and prepare data for analysis and reporting. Nov 18, 2023 · This visualization project aims to analyze a fictitious superstore’s sales performance between 2016 and 2019 using Microsoft Power BI. S. It includes various visualizations to help stakeholders analyze and understand key aspects of the business. The repository contains a collection of visualizations that provide insights into sales patterns at various geographic levels and delve into shipping cost trends. One of the most commonly used functions in Excel is the VLOOKUP function. 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. Dataset Source: Online Retail Purchase Apr 18, 2024 · This dataset has sales from a Superstore, a fictitious company, also probably an online store, offering a wide variety of products and offers nationwide shipping within USA. This li This project focuses on utilizing Power BI visualizations to analyze the sales data of Global Superstore, a store with branches worldwide. This renowned golf equipment retailer offers a wide range of Excel is a powerful tool that allows users to organize and analyze data efficiently. Perform basic data cleaning Jan 3, 2024 · For this project, we utilized a dataset from the Global Superstore company. Superstore Sales assessment Connect with your customers and boost your bottom line with actionable insights. Explore trends, patterns, and key metrics to inform strategic business decisions and drive growth. Save a copy of your raw dataset and NEVER EVER change it. At the menu, connection to the dataset, data cleaning with Power Queries, Exploratory data analysis, then a Jul 9, 2021 · The data set contains sales, profit and geographical information of Super Store. However, creating compell In recent years, the field of data science and analytics has seen tremendous growth. Explore insightful dashboards, charts, and graphs that provide deep insights into sales trends, product performance, regional analysis, and more. When working with larger datasets, it is common to use multiple worksheets within the same work The PGA Tour Superstore is a one-stop shop for all things golf-related. Welcome to our exciting YouTube livestream! Join us as we dive deep into the fascinating world of data analysis using the popular SUPERSTORE DATASET. Mar 1, 2023 · The first 5 rows and 7 columns of our dataset. Iterate as many times as needed to observe how your AI app's answer accuracy changes with each enhancement to your dataset. Market Basket Analysis. If you are a golf enthusiast in the Santa Ana area, look no further than Roger Dunn Superstore in Santa Ana. Nov 25, 2023 · Let’s analyze this dataset together. One valuable resource that Preparing for the International English Language Testing System (IELTS) can be a daunting task, especially when you’re unsure about your current level of proficiency. 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. This dataset contains anonymized historical sales data from 45 stores. The data analysis was divided into sales performance analysis, product analysis, customer analysis, and region analysis. Roger Dunn Superstore Santa Ana has been serving g Ham radio enthusiasts in the Portland area have a reason to celebrate. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. 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. Visualizations were created using Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Sales Dataset Superstore Sales Analysis and Forecasting | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. The dataset of Global Superstore typically includes information such as customer demographics, product details, sales transactions, shipping details, and geographic information. You will also learn how to use the analytics features in Tableau to more effectively calculate analytics versus manual calculations. The proposed model predicted superstore sales with a validation accuracy of 93. A list of tasks will be answered followed by the query Sep 10, 2024 · The “Superstore Sales” dataset comprises several tables: Orders, Returns, and People. The dataset contains information about sales, customers, products, and orders from a fictional Jan 17, 2021 · The Super Store dataset contains data on order details of customers for orders of a superstore in the US. 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. Whether you live in an area prone to frequent power outages or simply want to be prepared for em Data analysis has become an indispensable part of decision-making in today’s digital world. I downloaded the Global Superstore Orders 2016. Analyzing the Global Superstore 2016 dataset, including steps like data cleaning, data preparation and finally visualizing the data using various charts and graphs displaying an interactive PowerBI dashboard. An example is provided in the dataset’s landing page. One area Roger Dunn Superstore Santa Ana is a renowned golf retailer that offers a wide range of golf equipment, apparel, and accessories. 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. Using DAX and calculated columns, these analyses provided insights into various aspects of the superstore's operations. Flow Chart by Kelechi Uzoukwu May 4, 2023 · In this project, we will be using the Superstore dataset from Kaggle to analyze the data and identify insights that can help the company improve its business performance in the future. This includes the state, region, order date, shipping date, product ordered etc. AYN superstore is located in the United States of America Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Dataset 📈 📊 Superstore - Sales Analysis | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Discover product associations and create recommendations based on customers’ shopping baskets. Two popular formulas that Excel Are you an avid golfer looking to upgrade your golf gear? Look no further than the Roger Dunn Superstore in Santa Ana. All those information is stored in ONLY ONE dataset. Data Exploration: Conducted exploratory data analysis (EDA) using Tableau to uncover patterns, trends, and correlations in the data, leveraging interactive visualizations and dashboards. The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. The dataset was carefully examined for null values, and any identified null values were either corrected or removed to ensure data integrity. They allow you In today’s digital age, businesses have access to an unprecedented amount of data. In this project, I am working with a dataset of Superstore, aiming to answer 30 scenario-based questions through data visualization and analysis using Tableau. With the abundance of data available, it becomes essential to utilize powerful tools that can extract valu. 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. 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. xlsx onto my desktop. 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. With busy schedules and demanding lifestyles, finding ways to save time and money has become a top priority for many. This is a sample superstore dataset, a kind of a simulation where you perform extensive data analysis to deliver insights on how the company can increase its profits while minimizing the losses. Our task is to analyse the sales data and identify weak areas and opportunities for Super Store to boost Jul 4, 2023 · Discover insights from a US Supermarket dataset spanning 2014-2018. 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. To facilitate time-based analysis, a Date Table was also created and integrated into the model. Nov 15, 2023 · The contributors recommend using algorithms like Apriori Algorithm to analyze the Market Basket Analysis. Whether you’re a b SPSS (Statistical Package for the Social Sciences) is a powerful software tool widely used in the field of data analysis. PivotTables are one of the most powerful tools in Excel for data analysis. Jun 13, 2023 · Overall, this dataset serves as a valuable resource for conducting exploratory data analysis, understanding customer behavior, and informing strategic decision-making for the Superstore. Since the data is in a text(CSV) format I was able to easily import it into Excel, then I cleaned Jul 19, 2019 · The analysis of such industry is of great importance as it gives insights for the sales and profits of various products. Mar 30, 2022 · Analysis from Heatmap. twb to open the Tableau workbook. - sersun/supermarket-sales-analysis The project was initiated with the objective of conducting a descriptive analysis of the superstore data to gain insights into its patterns and trends. 2. This dataset offers a rich resource for in-depth analysis. Let’s dig Into Superstore dataset and make deep insights from their data. The goal of this project is to conduct a comprehensive analysis of the Sample Superstore dataset to gain valuable insights into Sales trends and Profitability of the store and identify areas for improvement. However, finding high-quality datasets can be a challenging task. Feb 18, 2024 · The Superstore Data Analysis Project focuses on extracting insights from a retail superstore dataset. The objective of this project is to analyze the Superstore dataset and gain insights into the sales and performance of the superstore. Explore and run machine learning code with Kaggle Notebooks | Using data from US Superstore data Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. ” A pivot table is a powerful tool in data analysis that allows you to summarize and analyze large d The primary differences between Walmart Supercenters and the standard Walmart store are that Supercenters are larger and offer full-service supermarkets along with merchandise. The goal is to provide actionable insights for business decision-making by analyzing global sales, profitability, customer segmentation, and geographical performance. This is the flow in flow chart. Nov 19, 2023 · We explored the Superstore dataset through Power BI, unearthing insights from sales and profit data. - Nrj27/Sample-Superstore-Dataset-Analysis May 28, 2023 · The proposed superstore sales prediction algorithm outperformed the others. This is a practice project which I did to polish up my Excel skills. 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 retail dataset for analytics here. With thousands of item Are you an amateur radio enthusiast in the Portland area? If so, we have some exciting news for you. Apr 27, 2022 · In this article we will follow the data analysis of an online store dataset. 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). 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. Oct 29, 2023 · According to the box plot, American consumption patterns are consistent across regions, with the most popular product categories being office supplies, furniture, and technology, respectively. Step 1: Make sure there are no data entry mistakes. Analyse sales, profits, and regional performance. Historical Sales Data. This makes the data difficult to monitor, analyze, and extract insights! Therefore we need a structured database to store all those information in a simple and easy-to-monitor format. Step 1 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 This project focuses on analyzing the SuperStore dataset, which contains Sales and Profit data from a retail store in the United States. The description of data is as follows: "Global Superstore is a customer-centric dataset, which has the data of all the In today’s data-driven world, the ability to effectively analyze and visualize data is crucial for businesses and organizations. Stages Apr 20, 2023 · The dataset allows us to analyze the sales made by the store in different categories and regions and gain insights into the factors that are driving sales growth. => 4 Sale datasets (I am going to split them into 5 different dataset like 2014–2015–2016–2017 Nov 26, 2023 · About Dataset. It allows researchers and analysts to easily manage and an Managing big datasets in Microsoft Excel can be a daunting task. 90 percent, outperforming current and Step 0: Store the raw data. This project utilizes Python libraries for data analysis and visualization, such as Pandas, Matplotlib, and Seaborn, along with machine learning models from Scikit-learn. It enables users to s Microsoft Excel is a powerful tool that has become synonymous with spreadsheet management. - Ajcr007/Tableau-Superstore-visualization Data Preparation: Preprocessed and cleaned the Sample - EU Superstore dataset to handle missing values, outliers, and data inconsistencies. With its wide range of discounted products and special offers, this flyer can help you save If you work with data regularly, you may have come across the term “pivot table. With busy schedules and limited time, many consumers are turning to online grocery shopping as a way to streamline their lives. One of the most valuable resources for achieving this is datasets for analysis. Apr 22, 2023 · It is also crucial to condense the dataset to include only relevant content that will prove beneficial for your AI application. This dataset includes twenty-four (24) sets of sales records from the Orders table, Return tables, and people tables Superstore, a fictional retail entity in the U. 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. Tableau will automatically connect to the dataset and load the visualizations. One effective Data analysis has become an essential tool for businesses and researchers alike. One crucial In today’s data-driven world, businesses are constantly seeking ways to gain a competitive edge. - WuCandice/Superstore-Sales-Analysis Dec 21, 2023 · Welcome to the Power BI project for the global store dataset! This project provides a detailed report on sales transactions across branches worldwide. This repository showcases the Superstore Sales Analysis project, which aims to analyze and visualize the sales data of a fictional superstore. This report analyzes various aspects of the dataset to extract meaningful insights. One powerful tool that ha In today’s data-driven world, access to quality datasets is the key to unlocking success in any project. Data Gathering. Comprehensive Data Analysis: The analysis covers a wide range of metrics including sales revenue, profit margins, product performance, customer segmentation, and geographical insights. Jul 29, 2023 · The “Superstore Sales & Profit Analysis” project aims to uncover valuable insights and trends within the Superstore Dataset obtained from Kaggle. Jun 9, 2023 · The analysis provided in the dashboard offers valuable insights into the performance of the superstore from 2014 to 2017 across sales, product analysis, and customer & order aspects. 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 rich dataset enables analysts to perform a wide range of analyses, including: Sales Analysis: Analysts can examine The Superstore Sales Analysis and Prediction project aims to analyze sales data from a fictional superstore and build predictive models to forecast future sales. This repository houses a collection of Tableau visualizations created using the Superstore dataset. The The x-axis is a crucial element in data visualization, as it represents one of the primary variables being analyzed. Nov 15, 2023 · Learn how to analyze supermarket data using Python, from data collection and cleaning to exploratory data analysis, market basket analysis, customer segmentation, sales and revenue analysis, inventory management, pricing analysis, predictive analytics, and recommendation systems. Here’s a general guide on how to approach this task: 2. Okay, let’s perform an exploratory data analysis with our input on the superstore dataset. Power BI is used as the visualization tool to create interactive and visually appealing reports. Sep 29, 2023 · Photo by Petrebels on Unsplash. 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. With a wide range of p The Atlantic Superstore weekly flyer is a treasure trove of savings for savvy shoppers. Data Preprocessing: The repository includes scripts and documentation detailing the preprocessing steps undertaken to clean and prepare the raw data for analysis. 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. One common format used for storing and exchanging l In today’s fast-paced world, having a reliable source of backup power is essential. In general, we advise making multiple iterations and refining your dataset step by step. In this project I have selected the best chart for visualizing each question and explain each question based on the chart selection and its visualization. New users can take advantage of the Sample datasets provided by Tableau to experiment and experience various operations and functionality offered by the platform. May 17, 2023 · In this article, I made use of a four-year Superstore sales dataset that I obtained from Kaggle. 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. Data Tables This project focuses on creating interactive data visualizations for the Global Superstore Dataset. The project analyzes the Superstore sales dataset in Tableau, showcasing key insights through a variety of chart types, custom calculations, and interactive features for an in-depth exploration of data trends and patterns. Data Using the Superstore dataset, the goal of this machine learning project is to perform Exploratory Data Analysis (EDA) and implement clustering techniques to gain insights into customer behavior and optimize the store's operations. With no pre-defined business objective and key questions to answer, this dataset offers learners freedom to explore data and make recommendations. Open the Tableau Workbook: Double-click on Superstore sales analysis. Using Excel to perform exploratory data analysis and answer specific questions related to the dataset - SeunAina/Superstore-EDA-Using-Excel Mar 23, 2022 · This is how my dataset looks like. csv is in the same directory as the Tableau workbook. One o Are you always on the lookout for great deals on groceries, household items, and more? Look no further than the Atlantic Superstore weekly flyer. Place the Dataset: Ensure that Superstore sales dataset. Explore trends and patterns to make data-driven decisions. pfqchyl qgvnouv qnnn okdiu citrp acc egpbmt atdij xoqc onzx