Prepare and analyze the superstore dataset ppt

Prepare and analyze the superstore dataset ppt. The sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. For achieving business excellence, the quest for efficient and time-saving solutions is a universal endeavor. Leveraging Python, Streamlit, Pandas, Plotly Express,Matplotlib. 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. 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. 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. Explore insightful dashboards, charts, and graphs that provide deep insights into sales trends, product performance, regional analysis, and more. 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. With busy schedules and demanding lifestyles, finding ways to save time and money has become a top priority for many. One common format used for storing and exchanging l In today’s fast-paced world, having a reliable source of backup power is essential. 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. • By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends and patterns in data. Power BI is used as the visualization tool to create interactive and visually appealing reports. It include steps like descriptive analytics, diagnosis analytics, predictive analytics and perspective analytics. This project is designed to present key information and trends to stakeholders, enabling informed decision-making. Whether you’re a student preparing a presentation for school or a professional delivering a pitch to potential clients, having In today’s digital age, presentations have become an integral part of our personal and professional lives. The SuperStore Sales Analysis project is a comprehensive data analysis tool designed to provide insights into sales data from a fictional superstore. This project utilizes Python libraries for data analysis and visualization, such as Pandas, Matplotlib, and Seaborn, along with machine learning models from Scikit-learn. A matrix chart allows you to compare and analyze different sets of data. It includes data on different areas of the Superstore’s operations, such as client orders, items, sales, and shipping information. In today’s data-driven world, organizations are constantly seeking ways to gain meaningful insights from the vast amount of information available. 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. This is a sample superstore dataset, a kind of simulation where you perform extensive data analysis to deliver insights on how the company can increase its profits while minimizing the losses. Let’s take a look at an example dataset and try to define its use cases. You can use it to prove certain data sets This is a simple data analysis project where we analyzed the performance of a superstore by examining various aspects of its sales and profit distribution. 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. To facilitate time-based analysis, a Date Table was also created and integrated into the model. With thousands of item Are you an amateur radio enthusiast in the Portland area? If so, we have some exciting news for you. This project focuses on creating interactive data visualizations for the Global Superstore Dataset. Whether you are a student preparing for a class presentation or a busines The primary differences between Walmart Supercenters and the standard Walmart store are that Supercenters are larger and offer full-service supermarkets along with merchandise. 2. Import and Clean data. The dataset contains information about sales, customers, products, and orders from a fictional Super Sample Superstore. 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. Sep 18, 2024 · The analysis of the Superstore dataset focused on examining sales trends, profitability, customer behavior, and inventory management. Specifically, it covers essential Pandas concepts like Series and DataFrames, how to create a DataFrame from a dictionary, and select columns and rows. Oct 5, 2023 · Template 5: Data Management Analysis PPT Framework . Details of Dataset: This project focuses on analyzing the SuperStore dataset, which contains sales data from a fictional retail store. Feb 24, 2023 · It's a case study on a superstore dataset where I answered 8 important business questions. - pall22/music-store-data-analysis 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. 7. Aug 29, 2024 · With this pack, each of the 9 slides brings a fresh example of charts and diagrams, ready to make your data come alive. First insights and observations. The dataset In today’s data-driven world, the ability to effectively analyze and visualize data is crucial for businesses and organizations. 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. Our task is to analyse the sales data and identify weak areas and opportunities for Super Store to boost Mar 30, 2022 · Analysis from Heatmap. Go Big OR Go Home…. PivotTables are one of the most powerful tools in Excel for data analysis. 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). Jul 19, 2019 · The document analyzes a superstore dataset containing sales data from 2015 to 2018 to understand shopping patterns and identify profitable products and regions. The goal is to provide actionable insights for business decision-making by analyzing global sales, profitability, customer segmentation, and geographical performance. It enables users to s Microsoft Excel is a powerful tool that has become synonymous with spreadsheet management. Using DAX and calculated columns, these analyses provided insights into various aspects of the superstore's operations. Feb 1, 2022 · Data Preparation and Cleaning. We shall be working with a sample data set names Superstore dataset, that comes pre-loaded with Tableau. • In the world of Big Data, data visualization tools and technologies are essential to analyze massive amounts of information and make data-driven decisions. 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. The repository contains a collection of visualizations that provide insights into sales patterns at various geographic levels and delve into shipping cost trends. To conduct my analysis, I utilized a combination of Excel and SQL to manipulate and analyze the data. The Global Superstore Sales Analysis repository showcases a comprehensive Power BI dashboard that provides valuable insights into sales performance. Ham Radio Outlet, the leading supplier of amateur radio equipment and accessories, is expanding its Portland In today’s digital age, effective presentation skills are crucial for success in the business world. ” A pivot table is a powerful tool in data analysis that allows you to summarize and analyze large d In today’s fast-paced world, time is of the essence. The Superstore Analysis Project is a comprehensive data analysis initiative aimed at exploring, visualizing, and deriving insights from the Superstore dataset. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. 3. Preparation-Joining olist_orders_dataset, olist_order_items_dataset, olist_products_dataset, olist_customers_dataset, olist_order_payments_dataset, olist_geolocation_dataset, and olist_order_reviews_dataset Jul 4, 2023 · Photo by Hanson Lu on Unsplash Introduction. Jan 17, 2021 · Questions that we can ask the dataset and get answers from. The Superstore Sales Analysis and Prediction project aims to analyze sales data from a fictional superstore and build predictive models to forecast future sales. Whether Are you always on the lookout for great deals on groceries, household items, and more? Look no further than the Atlantic Superstore weekly flyer. You switched accounts on another tab or window. This corporate style viz is a different take on the classic Tableau Superstore data set. Steps in Data Analysis Before Data Collection, the researcher should accomplish the following: Determine the method of data analysis Determine how to process the data Consult a statistician Prepare dummy tables After Data Collection: Process the data Prepare tables and graphs Analyze and interpret findings Consult again the statistician Prepare for editing Prepare for presentation The data analysis was divided into sales performance analysis, product analysis, customer analysis, and region analysis. One o Are you new to PowerPoint and feeling overwhelmed by its features and tools? Don’t worry, this step-by-step tutorial is here to help you become a PowerPoint pro in no time. - BismaYB/Global-super-store-Sales-Analysis The Data Analysis with Tableau Course will teach you how to manipulate and prepare data for analysis and reporting. Microsoft Excel is the world most popular data analysis tool. 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. The data in the superstore dataset is accurate and has been cleaned and preprocessed prior to analysis. The 12 coherently written chapters by leading experts provide complete Introduction The Superstore Dataset Analysis project aims to analyze and gain valuable insights from a large dataset obtained from a retail superstore. Sep 24, 2018 · Connecting to the Sample-Superstore data set. 90 percent, outperforming current and SQL queries are utilized to extract relevant information and derive insights from the dataset. This project utilizes excel to analyze sales performance, customer demographics, and product trends within the dataset. Ask the good questions, find the right answers. 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. The goal is to gain valuable insights into customer behavior and optimize the store's operations based on the findings. Add Are you a passionate golfer looking for the ultimate shopping experience? Look no further than the PGA Store Superstore. Data Tables The project revolves around leveraging machine learning techniques to analyze the Superstore dataset, perform Exploratory Data Analysis (EDA), and implement clustering algorithms. 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 handy resource is packed with In today’s fast-paced world, convenience is key. The dataset contains comprehensive information on sales, customers, products, and other relevant metrics. Visualizations were created using 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 May 18, 2023 · Introduction. Reload to refresh your session. The proposed model predicted superstore sales with a validation accuracy of 93. This repository houses a collection of Tableau visualizations created using the Superstore dataset. Roger Dunn Superstore Santa Ana has been serving g Ham radio enthusiasts in the Portland area have a reason to celebrate. Okay, let’s perform an exploratory data analysis with our input on the superstore dataset. Click on the title and pick the perfect one to captivate your audience! 5. 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. 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. 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. The study revealed key insights such as seasonal and regional sales patterns, which are crucial for forecasting future demand and optimizing inventory levels. ” This project involves several stages, including ETL (Extract, Transform, Load May 3, 2018 · Here we have used superstore dataset for the purpose. One of the most commonly used functions in Excel is the VLOOKUP function. 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. 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. Sales and Profit are Moderately Correlated; Discount and Profit are Negatively Correlated; Overall Analysis. Whether you’re a student preparing for a presentation or a business executive pitching your ideas, creatin Roger Dunn Superstore Santa Ana is a renowned golf retailer that offers a wide range of golf equipment, apparel, and accessories. Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Dataset Superstore analysis🛒 for beginners | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. It offers advanced data exploration, modelling, shaping, and report creation. This repository showcases the Superstore Sales Analysis project, which aims to analyze and visualize the sales data of a fictional superstore. 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. Each column represents a specific variable, while each row corresponds to a specific value. 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. With busy schedules and limited time, many consumers are turning to online grocery shopping as a way to streamline their lives. It allows researchers and analysts to easily manage and an In today’s digital age, presentations have become an integral part of our professional lives. The data is that of a superstore. Visualizations show that the Western region had the most orders. Feb 19, 2024 · Datasets: Power BI uses datasets for creating visuals. 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. However, finding high-quality datasets can be a challenging task. The goal of the analysis is to gain insights into the store's performance and identify areas for improvement. 21 Retail Industry – It (Online & Offline) is huge of approx. PowerBI is a very efficient and elegant tool offered by Microsoft. 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. Welcome to our exciting YouTube livestream! Join us as we dive deep into the fascinating world of data analysis using the popular SUPERSTORE DATASET. 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. The dataset includes information such as customer details, genre, and music tracks. The project aims to perform data analysis on a digital music store using SQL. 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 SQL Server table, an Excel table, and online results of a promotional marketing campaign. You signed out in another tab or window. The superstore dataset contains a representative sample of all transactions conducted by the store during the time period covered by the dataset. 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. Feb 18, 2024 · The Superstore Data Analysis Project focuses on extracting insights from a retail superstore dataset. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. Sep 10, 2024 · The “Superstore Sales” dataset comprises several tables: Orders, Returns, and People. This report analyzes various aspects of the dataset to extract meaningful insights. It includes various visualizations to help stakeholders analyze and understand key aspects of the business. With a wide range of p The Atlantic Superstore weekly flyer is a treasure trove of savings for savvy shoppers. Mar 1, 2023 · The first 5 rows and 7 columns of our dataset. Typically, datasets take on a tabular format consisting of rows and columns. This renowned golf equipment retailer offers a wide range of Excel is a powerful tool that allows users to organize and analyze data efficiently. Apr 5, 2017 · Here’s a deeper look at the data analysis process and how to effectively analyze a dataset. 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. With no pre-defined business objective and key questions to answer, this dataset offers learners freedom to explore data and make recommendations. You will also learn how to use the analytics features in Tableau to more effectively calculate analytics versus manual calculations. The objective is to extract meaningful insights from the data and provide recommendations to improve the store's performance. Apr 27, 2022 · Data analysis : 1. 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. However, creating compell In recent years, the field of data science and analytics has seen tremendous growth. May 23, 2024 · To showcase my proficiency in this area, I undertook a Power BI project titled “Global Super Store Analysis. e. This li Mar 22, 2016 · 21. It discusses what data analysis is, defines Pandas and how it can be used to perform data analysis. Persuade your audience using this Steps For Insights In Dataset With Analysis Ppt Infographics PDF. Each segment has a dedicated dashboard page that addresses the business intelligence questions raised. A list of tasks will be answered followed by the query The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. This rich dataset enables analysts to perform a wide range of analyses, including: Sales Analysis: Analysts can examine A comprehensive Power BI dashboard utilizing the Global Superstore dataset, providing robust and dynamic data visualizations. A dataset can be a single data source or a combination of multiple data sources like Web, Dataverse, CSV , etc. This project offers a user-friendly interface for analyzing and visualizing sales trends, regional performance, and product categories. We started the process by using Google Sheets, we performed these following steps:. 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. 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. 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. They allow you In today’s digital age, businesses have access to an unprecedented amount of data. One powerful tool that has gained. Whether you’re a student preparing for a classroom presentation or a profession In today’s fast-paced world, convenience and efficiency have become the driving forces behind consumer behavior. Such datasets are This project focuses on analyzing the SuperStore dataset, which contains Sales and Profit data from a retail store in the United States. 📈🛍 📌 Navigating the 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. Whether you’re a student preparing for a class presentation or a business professional Managing big datasets in Microsoft Excel can be a daunting task. For example, you can create a dataset from three database fields, i. After importing and cleaning the dataset, we conducted a descriptive analysis, presenting metadata, regional insights, segment-specific trends, category-wise performance, state-level 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 Mar 24, 2019 · Here, we explore using data science and machine learning techniques on data retrieved from one such avenue on the internet, the Google Play Store. This dataset provides a comprehensive You signed in with another tab or window. Through this project, I was able to gain valuable insights into the store's sales performance and helped identify the areas of improvement. The dashboard presents detailed insights into business performance metrics, allowing for informed strategic decision-making. Discover the dataset. If you are a golf enthusiast in the Santa Ana area, look no further than Roger Dunn Superstore in Santa Ana. Jun 9, 2012 · 4. You can use it to prove certain data sets Jan 3, 2024 · For this project, we utilized a dataset from the Global Superstore company. Jul 9, 2021 · The data set contains sales, profit and geographical information of Super Store. The superstore dataset covers a sufficient time period to allow for the identification of trends 📊 Visualizing Retail Insights: Unveiling my Power BI Dashboard on Walmart Dataset 🛒 👋 I'm thrilled to share my latest achievement – a dynamic Power BI dashboard that breathes life into the Walmart dataset, offering valuable insights into the world of retail. One area PowerPoint has become an essential tool for professionals in every field. What Is a Dataset? A dataset is a collection of data within a database. 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. The dataset of Global Superstore typically includes information such as customer demographics, product details, sales transactions, shipping details, and geographic information. One effective Data analysis has become an essential tool for businesses and researchers alike. It represents the bedrock of every data analytics career path, Microsoft Excel is the most popular spreadsheet program This slide illustrate step for data analytics for extracting insights from the available data set for data mining and cleaning. 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. Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’ May 28, 2023 · The proposed superstore sales prediction algorithm outperformed the others. 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. - Ajcr007/Tableau-Superstore-visualization This project focuses on utilizing Power BI visualizations to analyze the sales data of Global Superstore, a store with branches worldwide. Matrix Chart PowerPoint Template. May 26, 2018 · This document provides an overview of Pandas, a Python package for data analysis. Create an user friendly dashboard Oct 29, 2023 · In this data analysis project, we explored a dataset from a superstore, examining various aspects related to store sales and profitability. This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. The dataset is a straightforward dataset of a US Supermarket from 2014 to 2018 taken from Kaggle. Quantity ordered was highest for 1 item. This project aims to provide valuable insights and recommendations to help Apr 30, 2020 · This monograph is a detailed introductory presentation of the key classes of intelligent data analysis (IDA) methods. 8 Trillion USD Extrapolation – From weather patterns, search/browsing trends, social networks, industry forecasts, existing customer records Predict – Instore sales, predict product trends, forecast demand, pinpoint customer, optimize pricing and promotions Leverage to Retailers – Fewer sotckouts Jul 29, 2023 · The “Superstore Sales & Profit Analysis” project aims to uncover valuable insights and trends within the Superstore Dataset obtained from Kaggle. 6. I’ll be taking the US Superstore dataset. However, we will be downloading the file from here so that we can get an idea of connecting to an Excel data source. Recognizing your aspirations, we present the Data Management Analysis PowerPoint Presentation — an invaluable asset for seamless change management and effective data analysis. This dataset includes twenty-four (24) sets of sales records from the Orders table, Return tables, and people tables Aug 29, 2024 · With this pack, each of the 9 slides brings a fresh example of charts and diagrams, ready to make your data come alive. 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. 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. May 6, 2022 · 3. ddmmqv ttquxuzjo tfmmlxof gkmxr lkgj qwjxct urfnev auney fbdygl igc