Superstore dataset github. 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. Project Title: Data Analysis of Superstore Sales Dataset. sql. Sep 4, 2024 · The repository contains dataset and source file of a super store which has 3 tables namely Orders, Users, Returns. update: SQL file of superstore has been improved with name new_superstore. I downloaded the Global Superstore Orders 2016. In this project I have analyzed the sales of the super store using Pyspark and databricks. Tableau-Superstore-Analysis-Doc. Created different visualizations using calculated fields, parameters & charts as the dashboard. Order Date: Date when the order was placed. Each analysis is documented with the SQL queries used and explanations of the steps involved. xlsx onto my desktop. Available in csv, xlsx and sql format. A G Are you always on the lookout for great deals on groceries, household items, and more? Look no further than the Atlantic Superstore weekly flyer. ; The dataset contains the sales details of 3 categories: Furniture, Office Supplies, and Technology. Task 1:- Understanding the Data. Explore insightful dashboards, charts, and graphs that provide deep insights into sales trends, product performance, regional analysis, and more. ~dashboard showcase~ Super Sample Superstore. The description of data is as follows: "Global Superstore is a customer-centric dataset, which has the data of all the Dataset Preparation: The Superstore sales data is obtained and imported into Power Query for data cleaning and transformation. In This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore The original dataset was obtained from the HiCounselor website. 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. The three categories all account for over 30% of sales Superstore Sales Dataset 2015 – 2018. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. The dataset is in a CSV format with 51,290 observations and 24 features. The data can be accessed via this link. It generally includes the following key fields: Order ID: Unique identifier for each order. Contribute to Diogopgcd/superstore_dataset2011-2015 development by creating an account on GitHub. The analysis is based on the Superstore dataset, where we investigate sales performance, profit generation, and trends across The Global Superstore dataset is a popular sample dataset often used for data analysis and visualization exercises. With busy schedules and limited time, many consumers are turning to online grocery shopping as a way to streamline their lives. The data was sourced from Kaggle in CSV format. By analysing this dataset, the project seeks to This is a practice project which I did to polish up my Excel skills. The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. Project Goals: The goals of this project are to: I did Exploratory data analysis on Sample Superstore Dataset using Python, Tableau, Excel, SQL and R All the tools will give us same output but we have to know when to use which tool. 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. 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. 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. 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. Weak areas where profits can be increased Business problems from the current dataset (Discount offered and shipping mode). With multiple team members working on different aspects of In today’s fast-paced world, time is of the essence. 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. Ship The company should focus more on technology section because the profit is higher in the that cateogory; Since furniture is not contributing towards any profit , so the company can stop selling furniture . The dataset is in CSV format, comprising 51,290 observations and 24 features. The SuperStore Database Management Project (DBMD) is a comprehensive solution designed to streamline and optimize the operations of an e-commerce business. The aim of this work is to analyze a dataset of purchases in an anonymous online store. Identify and list the Primary Keys and Foreign Keys for this dataset provided to you(In case you don’t find either primary or foreign key, then specially mention this in your answer) Task 2:- Basic & Advanced Analysis EDA and ML with Superstore Dataset off Kaggle This notebook illustrates a simple end-to-end analytics and ML solution. With the abundance of data available, it becomes essential to utilize powerful tools that can extract valu Data analysis has become an indispensable part of decision-making in today’s digital world. The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. . The SuperStore Sales Analysis project is a comprehensive data analysis tool designed to provide insights into sales data from a fictional superstore. Superstore Sales Dataset 2015 – 2018. The data has 51290 rows, and 24 columns. The dataset contains detailed records of sales, products, customers, and shipping information. The In today’s data-driven world, organizations across industries are increasingly relying on datasets to drive decision-making and gain valuable insights. Describe the data in hand in your own words. If you are a golf enthusiast in the Santa Ana area, look no further than Roger Dunn Superstore in Santa Ana. From equipment and apparel to accessories and training aids, this retailer offers a wide range of products f In today’s fast-paced development environment, collaboration plays a crucial role in the success of any software project. This project aims to provide valuable insights and recommendations to help Data analysis and Tableau. Superstore-Sales-Dashboard---Powerbi Power BI dashboards can be a helpfull tool to provide insights into sales performance and trends of an organization. This repository houses a collection of Tableau visualizations created using the Superstore dataset. This project involved performing EDA on the Superstore dataset using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn to gain insights into the data, identify patterns, trends, and relationships, and prepare the data for further analysis and modeling. 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. One of the primary benefits Data analysis plays a crucial role in making informed business decisions. Using the Superstore dataset provided, create a dashboard consisting of at least 2 KPIs, you identified in Module 2, that will be used to answer the business question for this project. S Superstore Sales Data extensively Come up with 6 business questions you intend to answer with that data Clean, analyze and visualize your insights Include the following: Your KPIs (maximum: 4) Suitable header and subtitles for each visualization A suitable slicer First, I Superstore-Dataset Collected the superstore df from kaggle. Created visualiations and plotted graphs using matplotlib and seaborn. Some improvement like data type and value of the column has been formatted correctly without re-formatted for usage This project focuses on analyzing the SuperStore dataset, which contains Sales and Profit data from a retail store in the United States. This project focuses on analyzing the SuperStore dataset, which contains sales data from a fictional retail store. The sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. 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. 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. One effective way to do this is by crea GitHub Projects is a powerful project management tool that can greatly enhance team collaboration and productivity. 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. Deleted the 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. Importing the necessary libraries, the dataset and visualizing the first 5 rows; Visualizing the last five rows and explaining the columns available in the dataset This repository showcases various data analyses on the popular Superstore dataset using SQL queries. 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. The goal of the analysis is to gain insights into the store's performance and identify areas for improvement. Reload to refresh your session. Sample - Superstore. One area Roger Dunn Superstore Santa Ana is a renowned golf retailer that offers a wide range of golf equipment, apparel, and accessories. Both platforms offer a range of features and tools to help developers coll In today’s digital landscape, efficient project management and collaboration are crucial for the success of any organization. Project Overview: This project analyzes a dataset of sales data from a fictional superstore. md at main · kedibeki/SuperStore-Dataset-Dashboard-With-KPIs- Jun 25, 2024 · This project involves performing an exploratory data analysis (EDA) on the Superstore dataset. About. Whether you’re a b Managing big datasets in Microsoft Excel can be a daunting task. GitHub is a web-based platform th GitHub is a widely used platform for hosting and managing code repositories. This includes the state, region, order date, shipping date, product ordered etc. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. The goal of the project is to identify trends and patterns in the data that can help the superstore improve its business performance. Contribute to becca-code/Superstore development by creating an account on GitHub. With a wide range of p The Atlantic Superstore weekly flyer is a treasure trove of savings for savvy shoppers. Add Are you a passionate golfer looking for the ultimate shopping experience? Look no further than the PGA Store Superstore. This dataset encompasses a wide range of information, including order specifics, geographical data, and product-related data. The analysis will consist of data cleaning, exploratory data analysis (EDA), a simple case of linear regression, a more complete study of multiple linear regression and finally a binary classification problem. This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. Contribute to fxelixe/Superstore-Dataset development by creating an account on GitHub. The superstore sales dataset can be downloaded from here. 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). Leveraging Python, Streamlit, Pandas, Plotly Express,Matplotlib. One key componen. Contribute to VirmarSosa/Superstore-Dataset development by creating an account on GitHub. 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. Superstore Sales and Profit Analysis This repository contains the code and analysis for the "Superstore Sales and Profit" project. com. One valuable resource that In today’s fast-paced world, having a reliable source of backup power is essential. The Global Superstore dataset is a sample dataset that contains sales and order data for a fictional global retail company that sells office supplies, furniture, and technology products. The dataset is often used by data analysts and data scientists to demonstrate data analysis, visualization, and machine learning techniques. Data Cleaning and Transformation: Using Power Query, the data is cleaned by removing irrelevant columns, filtering out unnecessary data, and handling missing values. Worked extensively on Data cleaning & EDA using pandas & numpy in google colab. This handy resource is packed with In today’s fast-paced world, convenience is key. Identified and removed a duplicate transaction record for the customer Laurel Beltran using the "remove duplicate" function. 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. It contains 9993 sales transactions that occurred from 2019 to 2022. 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. Whether you are a business owner, a researcher, or a developer, having acce In today’s data-driven world, businesses are constantly seeking ways to gain a competitive edge. R code for EDA on superstore dataset. Contribute to malaaaky/SuperStore-Dataset development by creating an account on GitHub. The following code is written in Python and mainly uses Pandas, NumPy, Matplotlib and Seaborn libraries. 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. xls: This Excel file contains the Superstore sales dataset that serves as the foundation for our analysis. However, finding high-quality datasets can be a challenging task. You signed out in another tab or window. - SuperStore-Dataset-Dashboard-With-KPIs-/README. 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 analyses cover a range of business insights, including sales performance, customer segmentation, and product profitability. I mainly chose this data set to analyze how a store work under different situations and how they tackle profit or loss, while they are in profit how they got profit and how to increase it further, and if they are in loss how they tend to increase the sales and background works like how they analyze to make profit and improvement in sales. Superstore Sales and Profit Analysis. Feb 3, 2024 · Superstore Dataset Using Power Bi. Contribute to larryt2003/Superstore-Sales-Dataset-2015-2018 development by creating an account on GitHub. The goal is to uncover insights into sales performance, customer behavior, and operational efficiency. This report analyzes various aspects of the dataset to extract meaningful insights. The analysis is based on the Superstore dataset, where we investigate sales performance, profit generation, and trends across This project uses the Global Superstore dataset, which is open source and available on Kaggle. Analysis about data of a superstore to make business decisions - lucalevi/superstore-dataset You are to analyze the U. However, creating compell In recent years, the field of data science and analytics has seen tremendous growth. then i created dashboard based on these pivots superstore_dataset. The analysis involves various stages, including data cleaning, feature engineering, and model training to predict sales. Contribute to dyfatai/SuperStore-Dataset development by creating an account on GitHub. 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 Sales Dataset is a popular dataset used for learning and practicing data analysis, visualization, and machine learning techniques. 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. One powerful tool that ha In today’s data-driven world, access to quality datasets is the key to unlocking success in any project. Dataset containing Sales & Profits of a Superstore. When it comes to user interface and navigation, both G GitHub has revolutionized the way developers collaborate on coding projects. In today’s data-driven world, organizations are constantly seeking ways to gain meaningful insights from the vast amount of information available. 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. - Ajcr007/Tableau-Superstore-visualization This project is about making the dashboards using the sample superstore dataset in the tableau. You switched accounts on another tab or window. This dataset pertains to a superstore in the US, providing information on customer transactions from 2014 to 2017. Roger Dunn Superstore Santa Ana has been serving g Ham radio enthusiasts in the Portland area have a reason to celebrate. 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. Contribute to rraj12345/Tableau-Dashboard-on-SuperStore-DataSet development by creating an account on GitHub. With thousands of item Are you an amateur radio enthusiast in the Portland area? If so, we have some exciting news for you. Sample super store in this dataset I used pivot tables to analyze our sales based on region and shipping mode then we took a look on our profit per segement and 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 essential tool for businesses and researchers alike. The data comes from Kaggle's superstore dataset. The dataset contains records of orders from a fictional retail store, including information about products, customers, and their respective sales transactions. 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. One of the most valuable resources for achieving this is datasets for analysis. With its easy-to-use interface and powerful features, it has become the go-to platform for open-source In today’s digital age, it is essential for professionals to showcase their skills and expertise in order to stand out from the competition. pdf: This document offers a detailed explanation of the project, including charts and visualizations that highlight key insights derived from the Superstore dataset. 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. Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’ Using the Superstore dataset provided, create a dashboard consisting of at least 2 KPIs, you identified in Module 2, that will be used to answer the business question for this project. Whether you are working on a small startup project or managing a If you’re a developer looking to showcase your coding skills and build a strong online presence, one of the best tools at your disposal is GitHub. You can access the dataset here. The dataset contains several attributes, including sales, profit, order date, ship date, and more. With busy schedules and demanding lifestyles, finding ways to save time and money has become a top priority for many. This corporate style viz is a different take on the classic Tableau Superstore data set. You signed in with another tab or window. Jan 17, 2021 · The Super Store dataset contains data on order details of customers for orders of a superstore in the US. Resources 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. - GitHub - About: The superstore data analysis project aims to gain meaningful insights from a large dataset related to a retail superstore's sales and profit. 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. 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. When it comes to code hosting platforms, SourceForge and GitHub are two popular choices among developers. This project focuses on creating a robust database management system that facilitates efficient handling of various aspects of an online store, from product inventory to customer orders. Original dataset taken from Tableau public dataset website. This is a time series data of 4 years from the year 2014 till 2017. 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. There are no missing values or any irrelevant data types and values. 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. Sep 16, 2024 · This project provides an insightful analysis of the Superstore dataset by performing various SQL-based operations. Categories and sub categories. 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. This project offers a user-friendly interface for analyzing and visualizing sales trends, regional performance, and product categories. One o In the field of artificial intelligence (AI), machine learning plays a crucial role in enabling computers to learn and make decisions without explicit programming. Ship Date: Date when the order was shipped. Here's an Exploratory data analysis process on the superstore dataset. This project’s data is open source, it is the Global Superstore dataset obtained from Kaggle. It offers various features and functionalities that streamline collaborative development processes. xqzxkygmzagixtpnsveivbxvqmyugdayoqfgctmouurmvzuzuyjuv