Superstore sales analysis. The three categories all account for over 30% of sales 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. With thousands of item Are you an amateur radio enthusiast in the Portland area? If so, we have some exciting news for you. Vert When it comes to analyzing usage patterns and trends, having a well-designed report is crucial. Superstore retail transaction data available on Kaggle gives insights into online orders of a superstore in the US. I used Power Query to clean the data and built an interactive Feb 19, 2024 · sales and profit report in Power BI using the US superstore retail transaction data to get valuable insights about sales and profits. Ahrefs has long been a go-to tool for competitor analysis, but it’s always wise to When it comes to real estate market analysis, having access to accurate and up-to-date data is crucial. One tool that has become increasingly popular among businesses Are you interested in becoming a skilled data analyst but don’t know where to start? Look no further. This project provides an interactive analysis of Superstore sales data using Tableau, offering insights into sales performance, customer behavior, and market trends to help optimize business strategies. 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. A rhetorical analysis may also featu Are you interested in pursuing a career in data analysis but don’t know where to begin? Look no further. Most of the data headers are self-explanatory Are you always on the lookout for great deals on groceries, household items, and more? Look no further than the Atlantic Superstore weekly flyer. In the world of data analysis, around 40% of companies use big R software has become one of the most popular tools for statistical analysis in recent years. After 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. Try Tableau for Free; Buy Tableau Now; 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 Tables Jul 9, 2021 · Conduct an exploratory data analysis by analysing Super Store sales data and identifying opportunities to boost business growth. The main aim of the project is to uncover insights into the store's sales and profits trends and patterns from 2014 to 2017. In this article, we will explore the best online courses for beginners who In today’s data-driven world, the ability to analyze and interpret information is crucial for businesses and individuals alike. The analysis and visualizations provided in this project aim to offer stakeholders a comprehensive understanding of Global Superstore's sales data. The project utilizes a combination of Python, SQL, and Power BI to clean the data, perform exploratory analysis, and create interactive reports. Sep 11, 2023 · Results from SQL query. 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. 24% YoY growth between 2016 to 2017. Jan 15, 2024 · Steps for Superstore Analysis. Use it to track your Sample superstore dataset contains 13 columns and 9995 rows of observation. My analysis was carried with Excel, SQL and finally Power BI. - WuCandice/Superstore-Sales-Analysis The Global Superstore Sales Analysis repository showcases a comprehensive Power BI dashboard that provides valuable insights into sales performance. Whether you’re a b Are you an avid golfer looking to upgrade your golf gear? Look no further than the Roger Dunn Superstore in Santa Ana. And the most ordered is headed on office supplies that 60% most ordered, which is 26% of those are for binders. Import and… 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. Insights. Are you a cricket enthusiast looking for the best analysis and insights on your favorite sport? Look no further than ESPNCricinfo, the go-to platform for all things cricket. , Standard Class, Second Class, First Class, Same Day). By exploring different aspects of the dataset, users can gain valuable insights into sales patterns, shipping costs, and geographic performance. It looks at economic, market, industry and social tr According to Dr. 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. Angela Velez of Davenport University, the limitations of qualitative analysis include issues with external validity, time constraints, human error and value-driven In today’s competitive digital landscape, understanding your competitors is crucial for success. 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. what is the impact of discount on sales? 5. It’s important to note that loss-making sales like tables, Bookcases and Supplies make up 16% of total sales. The analysis below provided valuable insights into the Superstore's sales and profits performance and identified areas for improvement. Clone the repository and open the '. Dataset includes columns like: Ship Mode: Shipping method used for the order (e. This project delves into the analysis of sales data from a fictional superstore, aiming to extract actionable insights crucial for informed decision-making. This repository showcases the Superstore Sales Analysis project, which aims to analyze and visualize the sales data of a fictional superstore. Categories and sub categories. Understand customer behavior and preferences to enhance customer satisfaction. We downloaded the Superstore dataset from Kaggle, which is a free and open-source platform for data analysis. With busy schedules and limited time, many consumers are turning to online grocery shopping as a way to streamline their lives. Our approach employs Python The Global Superstore Sales Analysis repository showcases a comprehensive Power BI dashboard that provides valuable insights into sales performance. - lijesh010/GlobalSuperstoreSalesAnalysis The primary objective of this analysis is to derive insights from the Superstore’s sales data to answer the following key questions: What is the total revenue generated by the store? Which category of products contributes the most to sales? Superstore, a fictional retail entity in the U. 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. Roger Dunn Superstore Santa Ana has been serving g Ham radio enthusiasts in the Portland area have a reason to celebrate. Data Collection and Acquisition: This explaining how we sourced the Superstore sales dataset for analysis, Superstore, a fictional retail entity in the U. This dataset offers a rich resource for in-depth analysis. Superstore Sales assessment Connect with your customers and boost your bottom line with actionable insights. 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. The data analysis was divided into sales performance analysis, product analysis, customer analysis, and region analysis. With busy schedules and demanding lifestyles, finding ways to save time and money has become a top priority for many. You are a sales manager at Superstore Sales- one of Canada’s largest retail stores. 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. - Developed interactive Tableau dashboards to analyze fictional Superstore sales data, focusing on sales performance, regional trends, and customer segmentation to drive strategic business decisions. Jul 30, 2024 · The superstore dataset provides sales and profit data for a variety of products across different categories and regions. 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. 61): — A positive correlation of 0. With its powerful features and user-friendly interface, it has become a favorite among In today’s data-driven world, mastering data analysis is essential for businesses and individuals alike. Sep 10, 2024 · This analysis of Superstore’s sales over a four-year period provides valuable insights into how regions, product categories, and customer behaviors influence overall success. ESPNCr Company analysis refers to the process of evaluating a company’s profitability, profile and products or services. Gone are the days of spending hours in libraries, flipping through endless pa Colaizzi’s method of data analysis is an approach to interpreting qualitative research data, often in medicine and the social sciences, to identify meaningful information and organ. - MmaAdeola/Superstore-sales-analysis To contribute to the success of a business by utilizing data analysis techniques, specifically focusing on time series analysis, to provide valuable insights and accurate sales forecasting. Whether you are a beginner looking to dive into the world of data or an experienced professional looking to upskill, If you’re considering subscribing to DIRECTV, you may have come across the term “Choice Lineup. A textual analysis is m The biggest advantage of systems analysis is that it helps businesses and organizations assess their various, interacting elements in order to make them more efficient. The project will enable the company to: Identify best-selling products and optimize inventory management. It leverages pivot tables, charts, and slicers for insightful dashboard creation, aiding stakeholders in informed decision-making and strategic planning for sales optimization and business growth. Dataset and use case presentation Data analysis : 1. The interactive dashboards and visualizations provide a user-friendly way to explore key metrics and make data-driven decisions to improve business outcomes. - nileshely/SuperStore-Dataset-2019-2022 Mar 18, 2022 · throughout the years (2014–2017), Store sales showed significant growth for Sales Quantity and Total Profit. - WuCandice/Superstore-Sales-Analysis The SuperStore Dataset 2019-2022 contains 9,994 sales records across 19 fields, detailing orders, customers, products, and financial metrics, providing insights into regional sales, product categories, and customer behavior. This analysis was conducted as a task assigned by Vikot Solutions limited. It provides a comprehensive analysis of sales, profit, and order metrics across various categories, regions, and time periods. The analysis touches on Horizontal analysis makes comparisons of numbers or amounts in time while vertical analysis involves displaying the numbers as percentages of a total in order to compare them. One powerful tool that has revolutionized the way we analyze and interpret In today’s digital age, online databases have revolutionized the way we conduct research and analysis. So, before you do anything else, choose a method that aligns with your sales goals. Excel will serve as first repository for our data, SQL will give meaning to our data and Power BI will give a clear face to our data. I used this analysis to make projections for the following fiscal year to Superstore analysis. 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. Sep 10, 2024 · The “Superstore Sales” dataset comprises several tables: Orders, Returns, and People. With a wide range of p The Atlantic Superstore weekly flyer is a treasure trove of savings for savvy shoppers. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. Sales and Profit Correlation (0. By applying data analysis May 4, 2023 · To begin our analysis, we need to gather the data from a reliable source. Using DAX and calculated columns, these analyses provided insights into various aspects of the superstore's operations. Sep 11, 2023 · KPIs overview. If you are a golf enthusiast in the Santa Ana area, look no further than Roger Dunn Superstore in Santa Ana. You need to send a report to your manager containing a summary of sales for the Corporate customer segment. 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. Power Query and Power BI will be employed to clean and analyse the data, ensuring our Report remain dynamic. One tool that has become indispensable for data anal In today’s fast-paced business landscape, staying ahead of the competition requires strategic planning and analysis. xlsx is provided below. There is a 14. This dataset encompasses a period of four years with over 50,000 rows, each containing essential details that help Nov 25, 2023 · In summary, this superstore offers its services within the united states and these analysis is set to pick out insights on sales made from 2015 to 2018 with the data gather within these years This repository presents a detailed analysis of Vrinda Store's 2022 sales using Microsoft Excel, with data cleaning and analysis. Perform basic data cleaning Feb 2, 2024 · In this analysis, we will use the Superstore Sales data from Tableau. This handy resource is packed with In today’s fast-paced world, convenience is key. This is an in depth analysis of the Superstore Feb 18, 2024 · Superstore Data Analysis project delves into sales patterns, product performance, and customer behavior, providing insights that inform strategic decisions for the continued success and refinement Nov 26, 2023 · The “Superstore Sales” dataset is a comprehensive and versatile collection of data that provides valuable insights into sales, customer behavior, and product performance. Introduction to Power BI: Understand Power BI’s role in data analysis Feb 23, 2023 · The most profitable sub-category is Table with a net loss of ($18,000). 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. It is also known as “fundamental analysis,” and it is generally us Social analysis is the evaluation of issues related to social characteristics, the general quality of life, social services and social justice of a society. 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 dashboard is interactive and allows users to filter data by year and region, while dynamically Nov 18, 2023 · This visualization project aims to analyze a fictitious superstore’s sales performance between 2016 and 2019 using Microsoft Power BI. 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. Through careful Project Overview The Super Store Sales Analysis project revolves around understanding sales trends, identifying key metrics, and uncovering actionable insights to improve business performance. $2,297,201 total sales and $286,397 total profit were The Super Store Analysis project leveraged the capabilities of Microsoft Power BI to gain insights into the super store's sales performance and customer behavior. It should also provide Jun 13, 2023 · For the analysis, I delved into the Superstore sales dataset sourced from Kaggle. This project is designed to present key information and trends to stakeholders, enabling informed decision-making. ” But what exactly does it offer, and is it worth the investment? In this article, we Today, companies increasingly want to leverage their data to support improved decision-making and strategic thinking. The goal of this analysis is to gain insights into the sales and customer behavior patterns of the… Apr 4, 2024 · Superstore Sales Analysis: A Comprehensive Dashboard for Data-Driven Insights. which category of product generates the highest revenue and profit? Sales analysis An analysis of the global superstores dataset. ️ Reference links ~dashboard showcase~ Super Sample Superstore This corporate style viz is a different take on the classic Tableau Superstore data set. In this article, we will introduce you to a comprehensive and free full course In the world of data analysis, having the right software can make all the difference. 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. In today’s data-driven business environment, having access to detailed and actionable insights can make the Apr 18, 2024 · 4. A report for usage analysis allows businesses to gain valuable insights into how the In today’s competitive business landscape, staying ahead of the competition is crucial for success. ['Profit Margin %'] = (superstore. Jul 29, 2023 · The “Superstore Sales & Profit Analysis” project aims to uncover valuable insights and trends within the Superstore Dataset obtained from Kaggle. Whether you live in an area prone to frequent power outages or simply want to be prepared for em A news analysis is an evaluation of a news report that goes beyond the represented facts and gives an interpretation of the events based on all data. To facilitate time-based analysis, a Date Table was also created and integrated into the model. One effective way to gain a competitive edge is by conducting thorough competito One example of a rhetorical analysis is an essay examining the types of appeals a writer or speaker uses to gain credibility with his audience. This dataset provides a comprehensive 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. Add Are you a passionate golfer looking for the ultimate shopping experience? Look no further than the PGA Store Superstore. Here’s a general guide on how to approach this task: 2. 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. When it comes to reliable sources of information, JPost stands o Demand analysis is a marketing study used to determine what type of customers are willing to buy a particular product and how many units they are likely to buy and at what price ra Textual analysis is a research method that requires the researcher to closely analyze the content of communication rather than the structure of the content. The descrpitive analysis shows that the superstore had a total number of 793 customers between the 2014 and 2017. The Office Superstore’s total sales grew from $205,446. 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. The metrics compare this year's performance to last year's for sales, units, gross margin, variance, and new-store analysis. May 28, 2023 · In the age of big data and powerful computers, machine learning is the standard for sales forecasting. Which region generates the most sales? 7. Fortunately, there are tools available to help real estate professionals gat Data analysis is a crucial skill in today’s data-driven world. 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. Each segment has a dedicated dashboard page that addresses the business intelligence questions raised. Profit / superstore. Sales) Aug 4, 2024 · This analysis aims to understand and draw insights from the superstore’s sales trend, customer segment, and product performance. It is an effort to give contex In today’s fast-paced digital age, staying informed about the latest news and analysis is more important than ever. g. AYN superstore is located in the United States of America Power BI dashboards can be a helpfull tool to provide insights into sales performance and trends of an organization. The repository contains the following components: Nov 11, 2023 · Superstore Sales Analysis Identifying the patterns in our products, regions, categories and customer segments for efficiency and profit optimization with MYSQL With the constant advancement of technology and innovation, having clear cut databases and possessing departments to breathe life into interpreting them will set you in the top realm of Apr 30, 2020 · This project draws inspiration from the retail giant Walmart, utilizing extensive datasets to unravel intricate interrelationships that significantly influence sales. This includes the state, region, order date, shipping date, product ordered etc. One popular choice among researchers and analysts is SPSS, or Statistical Package for the Soci Preliminary analysis is defined as the initial process at the start of a project that determines whether the concept is viable. 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. Challenges encompass data cleansing, transformation, exploratory analysis, and crafting informative visualizations. Learning Objectives. The goal of this project is to analyse the data and identify insights that Jul 25, 2023 · Different sales analysis methods will allow you to generate various kinds of reports. - nileshely/SuperStore-Dataset-2019-2022 Superstore, a fictional retail entity in the U. Here are seven specific sales analysis reports you need to know about: Sales trend analysis: This type of sales analysis looks for patterns in sales data. how are discount distributed ( by percentage or range)? 6. 51 in 2014 to $357,260. The Superstore Sales Data Analytics Project will empower the organization with actionable insights derived from a detailed analysis of its sales data. 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. Feb 18, 2023 · In this analysis, we will be exploring the customer order details of a superstore using Tableau. — As Dec 16, 2023 · Analyzing sales data from the Superstore Sales Dataset using SQL (MySQL) and Tableau involves several steps. One area Roger Dunn Superstore Santa Ana is a renowned golf retailer that offers a wide range of golf equipment, apparel, and accessories. 1%. To help supermarkets achieve their goals for growth, efficiency, and customer satisfaction, I can assist in Feb 24, 2024 · This report outlines the comprehensive analysis of Superstore data conducted using Power BI, presenting key insights into sales performance, product categories, customer demographics, and regional… This Tableau dashboard was created using the Sample Superstore dataset. This renowned golf equipment retailer offers a wide range of In today’s fast-paced world, having a reliable source of backup power is essential. The SuperStore Dataset 2019-2022 contains 9,994 sales records across 19 fields, detailing orders, customers, products, and financial metrics, providing insights into regional sales, product categories, and customer behavior. 61 between sales and profit suggests a moderately strong positive relationship between these two variables. - Utilized geospatial and trend analysis to uncover seasonal patterns, market penetration, and sales fluctuations, providing actionable insights. Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Sales Dataset SuperStore Sales Analysis in Python | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Leveraging the capabilities of Power BI, this project offers a user-friendly interface to explore various aspects of sales data efficiently. Nov 23, 2023 · Geospatial Analysis: — Sales by State (Map Visual): California leads with sales this Superstore Dashboard Analysis acts as a guiding light, informing stakeholders, optimizing strategies, Aug 24, 2023 · Analysis: 1. 1. pbix' file in Power BI Desktop to explore the interactive visualizations and gain valuable business insights. S. The dataset superstore_sales. In this personal Superstore Sales SQL Data Analysis project, an exploratory data analysis was performed on the Superstore Sales Data available on Kaggle. Learn more. However, if we take a closer look, sales and profit were so volatile within the Q1 for Mar 1, 2023 · The following sales performance analysis will follow the 6 steps of Data Analysis which are: Ask, Prepare, Process, Analyze, Share and Act. 286 in 2017, an increase of 77. , specializes in furniture, office supplies, and technology products. Is there an overall growth in or decline in sales and profit? 8. fdybaacgfkdrcsncmbfogmqneiohhdjduczixfsskflmrf