Superstore dataset kaggle github. Our Objective is to find the Most Popular .

Superstore dataset kaggle github Explore the "Superstore Dataset 2011-2015" from Kaggle. - dmarks84/Ind_Project_Superstore-Sales-Time-Series-Analysis--Kaggle The queries cover common data analysis tasks such as filtering, grouping, and aggregating data to extract useful insights. I got this dataset from kaggle. The Global Superstore dataset can be used for a variety of analyses, including sales forecasting, inventory management, customer segmentation, and profitability analysis. Go to your Kaggle account and create your API token. It is a Global Superstore Dataset showing sales record detailing the shipping records of items categorized under Technology, Office Supplies and Furniture. So, when I got an opportunity to do a Capstone project as part of my Udacity Data Scientist Nano degree, I thought of exploring a famous retail store time series data set available on Kaggle. The dataset was presented in the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels", which appeared at WACV 2019. Data Reading: The dataset was read and imported into the project using the popular pandas library, allowing for efficient data manipulation and analysis. xlsx at main · kalyan0309/Superstore-Sales-Dashboard Kaggle实践. You switched accounts on another tab or window. 2 million App Data) and 21 attributes The dataset is a Global Superstore dataset based on sales and was found on Kaggle. Jun 25, 2024 · The Kaggle Global Superstore dataset is a comprehensive dataset containing information about sales and orders in a global superstore. It includes order specifics, product sequences, order timing, and aisle/department info. You signed out in another tab or window. Created time series model using SAS Enterprise Miner to forecasting sales. 2. c. - Superstore-Sales-Dashboard/Kaggle- Superstore Dataset (Modified). The units themselves might not even be prices, but a quantity of items sold or some output from a formula we do not have access to. Exploratory Data Analysis and prediction of a dataset from Kaggle competition: Store Sales - Time Series Forecasting - kaviga/Kaggle_Storesales_Forecasting Used Global Superstore dataset (Kaggle) to create a dashboard visualizing key performance indicators for the superstore. store_nbr identifies the store at which the products are sold. This is a detailed analysis on customer behavior analysis. csv This dataset has information Brazilian zip codes and its lat/lng coordinates. The sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. ; The dataset contains the sales details of 3 categories: Furniture, Office Supplies, and Technology. 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. This is a Brazilian ecommerce public dataset of orders made at Olist Store. Excited to share my latest project! I've created a powerful Power BI dashboard using the Superstore dataset, and I'm thrilled with the insights it provides. By leveraging Power BI's data transformation and visualization capabilities, these This project’s data is open source, it is the Global Superstore dataset obtained from Kaggle. The store_nbr data identifies the store at which the products are sold. Learn more. Saved searches Use saved searches to filter your results more quickly Saved searches Use saved searches to filter your results more quickly - GitHub - Shayanyde/Global-Superstore-Sales: This is a PowerBI project which aims to clean and analyze the global superstore dataset from Kaggle and then present all the findings in an insightful dashboard using PowerBI. The three categories all account for over 30% of sales Make sure the test. Use pie charts to visualize the proportion of each Type, Year, Month, and A tag already exists with the provided branch name. (1. This repository hosts a comprehensive dataset sourced from Kaggle, offering a rich collection of sales and order data from the Global Superstore. This repository contains the analysis of bike sales data obtained from the "Europe Bike Store Sales" dataset available on Kaggle. copy() df. describe() - It shows a summary of the numerical data. Tasks include working with Spark RDDs, Spark SQL, and Spark DataFrames to discover insights through transformations and SQL queries. - rob-evans/Superstore-Data-Exploration Module 1 - dataset from Kaggle called 'Superstore Dataset' - gracegm/Module1 In my role as a Data Analyst for Global SuperStore, a prominent multinational online retailer serving customers worldwide, I was tasked with creating a Sales Dashboard in Excel. We could not confirm the units of the sales data. Order Items Dataset - olist_order_items_dataset. Store - the store number Date - the week of sales Weekly_Sales - sales for the given store Holiday_Flag - whether the week is a special holiday week 1 – Holiday week 0 – Non-holiday week Temperature - Temperature on the day of sale Fuel_Price - Cost of fuel in the region CPI – Prevailing consumer price index Unemployment - Prevailing Google PlayStore App dataset. Apple AppStore Apps dataset. This is a time series data of 4 years from the year 2014 till 2017. It is publicly available for educational purposes and has been downloaded as csv file for ease of use. The dataset is in a CSV format with 51,290 observations and 24 features. json file which contains your authentication token. An Interactive Dashboard using Power Desktop on Global Superstore Dataset collected from Kaggle. This project features dynamic dashboards that provide comprehensive insights into the operations of an apple superstore. , EDA is Exploratory and Explanatory Data Analysis. csv present in the same folder as the python file. Ideal for anyone looking to explore SQL query techniques or work with business-related datasets. Deleted the Profit: The profit generated by the order. It is available for free download from various sources, including the Microsoft website and Kaggle. The superstore sales dataset can be downloaded from here. This dataset can be found on Kaggle. txt in the folder dataset includes the paths to the images in the training, validation and test set respectively. How to use the dataset The files train. Dataset: The Superstore Sales Dataset (available on Kaggle) (https:// This repository is mainly created to analyse the Superstore Dataset which is sourced from website named Kaggle. Superstores industry comprises of companies that operateby having large size spaces which store and supply large amounts of goods. - GitHub - Wunmi-O/Superstore: A kaggle's sample superstore dataset, a kind of a simulation where you perform extensive data analysis to deliver insights on how the company It is obligatory for any manufacturing firm to maintain continuity of its supply chain to meet customer needs timely. t. - anuppm9917/Super-Store-Sales-Analysis-Power-BI-Project You signed in with another tab or window. set_index("Date", inplace=True) Lets see how our dataset looks now. It offers multiple interesting dimensions to explore like order priority, product category, ship mode, location details, product segment and time series information. Use it to plot maps and find distances between sellers and customers. Store sales are influenced by many factors, including promotions, competition, school and state holidays, seasonality, and locality. Membuat prediksi time series forecasting menggunakan dataset dari kaggle superstore_sales - AgungYogaSetiawan/superstore-sales-forecasting Data from a store dataset coming from Kaggle is used. The dataset is in CSV format, comprising 51,290 observations and 24 features. #make a copy of dataset, in case something goes wrong #Copying is not recommended for large datasets. Superstore Dataset From kaggle. Size_per_dept: average size of departments of a store may affects sales. This Google Play Store dataset from Kaggle, analysis using Python, NumPy , Pandas , and Matplotlib. head() Lets check some Statistics for our what do you mean studying data analysis means i have to analyze datasets? how could this happen - nateitei/random_datasets Jun 17, 2024 · Saved searches Use saved searches to filter your results more quickly In this analysis, we delve into a comprehensive exploration of a supermarket sales dataset obtained from Kaggle. In this project we have applied Exploratory Data analysis model to get to know about the data and hence different insights are mentioned in the conclusion of this file. , region, country) Navigation Menu Toggle navigation. The main aim of the project is to uncover insights into the store's sales and profits trends and patterns from 2014 to 2017. Performing data science on Apple's App Store dataset from Kaggle - pikaju/app-store-analysis Find dataset description and original dataset from here. The dataset is a valuable resource for data enthusiasts, analysts, and researchers looking to explore and analyze the operations and performance of a multinational retail organization. The dataset contains a wealth of information regarding sales transactions, customer demographics, product lines, and payment methods, encompassing a total of 1000 entries and 17 columns. Available on Europe Bike Store Sales. - GitHub - SergiGomez/kaggle-google-analytics-revenue: Analyze a Google Merchandise Store customer dataset to predict revenue per customer. Categories and sub categories. Concluding with an interactive Excel dashboard utilizing slicers and pivot tables, it offers valuable sales insights and showcases Excel's prowess in data visualization. Below, you will find the project structure, dataset description, and information about the model used. A kaggle's sample superstore dataset, a kind of a simulation where you perform extensive data analysis to deliver insights on how the company can optimize its profit levels. This is necessary to download the 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. The train dataset contain id,date,store_nbr,family,sales,and onpromotion. Kaggle Superstore Dataset EDA/Predictions. Contribute to dawangbaixiaofu/Kaggle- development by creating an account on GitHub. I have used seaborn for the visualization. Welcome to my GitHub repository where I've conducted a comprehensive data analysis of the Bakery Sales Dataset from "The Bread Basket," a bakery located in Edinburgh. The store with the number 44 is in the city Quito, Pinchincha, type A, cluster 5. - Khayati1/Rossman_Store_Sales_Kaggle_Dataset Purpose: To research and clean a retail sales data set to identify trends in sales, customer behavior and product performance. So far I have cleaned it. First and foremost, the dataset was loaded into pandas dataframe. You'll find graphical, statistical, and machine learning analysis in Python, along with a presentation made for the course. In this personal Superstore Sales SQL Data Analysis project, an exploratory data analysis was performed on the Superstore Sales Data available on Kaggle. SuperStore_BA is a Business analysis project. csv This dataset includes data about the items purchased within each order. Dec 9, 2024 · The dataset contains sales information for a superstore operating in the United States, covering all its branches across cities and states. Overview This project involves analyzing a dataset from a superstore to gain insights into the store's operations and customer behavior. 3 million App Data) and 24 attributes - gauthamp10/Google-Playstore-Dataset Nov 20, 2024 · To automatically download the zip file of the dataset, you will need: A Kaggle account, sign up on Kaggle. The data was sourced from Kaggle in CSV format. Superstore Data Dataset containing Sales & Profits of a Superstore Project Dataset: Superstore Project Source: Kaggle: Dive into Big Data Analytics using Apache Spark. Write better code with AI Code review. The global superstore dashboard consists of various visuals to quickly understand the data and highlight vital information to enable users to make Using kaggle dataset of 'Walmart Store Sales Forecasting' and utilize Tableau data visualization to generate holiday analysis infographic for exploratory data analysis (EDA). This Shiny dashboard provides an interactive visual representation of the Superstore Sales dataset obtained from Kaggle. sales gives the total sales for a product family at a particular store at a given date. - Superstore/SampleSuperstore. Data Visualization with Tableau using Google Play Store dataset from Kaggle - 0xjychan/Google-Play-Store-Data-Visualization For learning purposes. 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. 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. Order_ID: Unique identifier for each order. json file to the Colab runtime before running the notebook. Explore a comprehensive analysis of Global Superstore sales, products, profitability, and regions. csv at master · Wunmi-O/Superstore This project contains sql statements that includes the process of Data Warehousing and Data Mining - yannie28/Global-Superstore Introduction This project aims to analyze sales and consumer behavior using the Global Super Store dataset. Global Super Store from Kaggle. 2 million App Data) and 21 attributes - GitHub - gauthamp10/apple-appstore-apps: Apple AppStore Apps dataset. Here I perform the operations like Data cleaning using Power Query Editor and data visualization using the business intellegence tool Power BI and create dashboards that gives us the detailed insights of the data and helps in making data driven business decisions. Source: Kaggle (Superstore Sales Analysis) Size: 138 rows and 20 columns Key Columns: Row_ID: Unique identifier for each record. info() - It has 9800 entries and it shows that Postal Code has 11 missing values. Saved searches Use saved searches to filter your results more quickly 📊 Just Launched out of practice: Simple Power BI Dashboard 🚀. The data can be accessed via this link. superstore dataset EDA and KMeans Analysis About Data With growing demands and cut-throat competitions in the market, a Superstore Giant is seeking your knowledge in understanding what works best for them. Apr 19, 2022 · Our goal is to perform a forecasting analysis on a datset of choice. For largest transactions occur in number 44,47,46,3. Sign in Product Applying Deep Learning techniques to a real-world dataset from the Rossmann Store Sales competition on Kaggle - GitHub - Aytijha/Rossman-store-sales-prediction: Applying Deep Learning techniques to a real-world dataset from the Rossmann Store Sales competition on Kaggle Geolocation Dataset - olist_geolocation_dataset. csv ,store. The dataset is a Global Superstore dataset based on sales and was found on Kaggle. head() - It shows the first 5 rows of the data. This is a Kaggle dataset on Google Play Store Apps. com . csv and train. Contribute to rmbennet/kg_superstore development by creating an account on GitHub. In this repository all my projects that are related to Power BI are available. ly/3i4rbWl . Contribute to IamXiaoYao/Superstore-Sales_Linear-Regression development by creating an account on GitHub. - SonamNath/SuperstorePowerBi NOTE: You can also view the Jupyter Notebook here as there has been errors in loading Jupyter Notebooks at times. Resources The preprocessing was to be made in Power Query and Excel but the columns with number values come with problems, the data type is text value and when imported all the “. Utilized maps, area charts, bar graphs, and interconnected filters for effec O repositório apresenta o conjunto de dados disponibilizado na plataforma do Kaggle, pela maior loja de departamento de marketplaces brasileiros, que conecta pequenas empresas de todo Brasil, os comerciantes podem vender seus produtos por meio da Olist Store e enviá-los a seus clientes. 💼 Here's a quick overview of what you'll find in the dashboard: In pursue of knowledge and understanding of which products, regions, categories and customer segments a company should target or avoid, I search and selected an appropriate dataset on kaggle which will match a standard superstore requirement. We assumed it was in USD, however it could easily be CAD, considering this is data from a Canadian company. Sales Performance Analysis: This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore Superstore--Analysis --Let's start by grouping sales by category SELECT Category, SUM (Sales) AS Revenue FROM Superstore GROUP BY Category; --Let's group sales across the years SELECT O_Year, SUM (Sales) AS Revenue FROM Superstore GROUP BY O_Year; --- RESULT: 2017 seems to be the best year of sales and 2014 seems to be the worst--Let's group Dataset from Kaggle . The data, sourced from the Superstore retail transaction dataset on Kaggle, covers the period from 2014 to 2018. The dataset subcategorized these items and showed shipping details to 147 countries across the world. You can access the dataset here. txt , val. . Using the Kaggle Dataset, we want to predict Walmart Store Sales. Contribute to MoustafaMohamed01/Data-Analysis-Superstore development by creating an account on GitHub. Today, 1. superstore_dataset EDA and ML with Superstore Dataset off Kaggle This notebook illustrates a simple end-to-end analytics and ML solution. The dataset is subset of a Global Superstore dataset which is from a global retail chain that sells office supplies, Furniture and Technology Stuff. Discover key insights through interactive visualizations and DAX-powered dashboards. Hopefully, the outcome will be more actionable operational changes and a better use of marketing budgets for those companies who choose to use data analysis on . This dataset pertains to a superstore in the US, providing information on customer transactions from 2014 to 2017. Our main KPI's for this Dataset were that of Total Sales, Profit and Quantity. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. The SuperStore Database Management Project (DBMD) is a comprehensive solution designed to streamline and optimize the operations of an e-commerce business. Dept_num: departments quantity of a store may affects sales. Project was collaborated between Adam Bushman and Zach Manning. Dataset about superstore sales report . Store most of the important machine learning packages as wheels in a kaggle dataset to use them in internet disabled competitions - osbm/kaggle-wheels-dataset This project’s data is open source, it is the Global Superstore dataset obtained from Kaggle. GitHub community articles Repositories. Find processed dataset from here. In dataset analysis, you can view the best app 5-star rating app, most review app, or most downloa This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. Dashboard : This is a simple Exploratory Data Analysis of Google Play Store Apps Dataset from Kaggle. However, at today's global scale the products go through complex supply chain networks needing large shipping times. Dataset Link In this repository I have my superstore sales analysis dashboard of kaggle. It consists of 9994 purchases made from an anonymous online store and contains the following features: About. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Demonstration of basic data cleaning, analysis, and visualisation techniques in Python, using a sales dataset sourced from Kaggle. The project works Using the superstore dataset from Kaggle, I will showcase different ways to query and summarize the data and answer some business questions. - jv0927/Superstore-Analysis-using-excel The analysis of the Retail Sales dataset from Kaggle, focusing on vehicle sales from 2003 to 2005, a project I did during the HNG internship programme to analyse the sales performance of a retail store from year 2003 -2005. (2. Identified and removed a duplicate transaction record for the customer Laurel Beltran using the "remove duplicate" function. Currently, Rossmann store managers are tasked with predicting their daily sales for up to six weeks in advance. This is a sales and profit analysis of "SuperStore" that was found on Kaggle. We make use of some basic charts like Pie chart, Bar chart, Heat table, Highlight table, Map, and several advanced charts such as Dual axis chart, Blended axis chart, Lollipop chart, Donut chart and Funnel chart. Recently, I got to know that there are sophisticated predictive models available that take into consideration seasonality and trends. The Dataset used was found on Kaggle. Contribute to Gejix/SuperStore_BA development by creating an account on GitHub. My repository to store my projects with Kaggle datasets - maxmedz/kaggle-datasets Source: Kaggle - Bike Store Sales in Europe; Description: This dataset contains information on bike store sales, including details like product category, store location, sales volume, and time. py The program will run for some amount of time and then produce a pickle file and submission. The dataset was obtained from Kaggle, specifically focusing on the superstore dataset, which provided the necessary information for the analysis. This report analyzes various aspects of the dataset to extract meaningful insights. 56 million available through the Google Play Store. With a primary objective to illuminate effective product offerings, regional focus areas, product categories, and customer segments, I meticulously selected and curated a dataset from Kaggle, tailored to meet the exacting standards of a contemporary retail giant. The main task was to make predictions for future sales based on time-series analysis, which is found in Part 2. 85 million different apps are available for users to download. Independent Project - Kaggle Dataset-- I worked on the Superstore Sales Dataset, performing (as Part 1) data cleaning and preparation and exploratory data analysis. Contribute to iriss-bit/SQL-Portfolio-Kaggle-Dataset-SuperStore-Supermarket- development by creating an account on GitHub. The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. The dataset, from Instacart, comprises 3M+ grocery orders by 200K+ users. The dataset contains information on various aspects of each transaction, such as order details, customer information, product details, and sales figures. You signed in with another tab or window. Sample super store The Retail dataset of a global superstore for 4 years is downloaded from kaggle which sells furniture, office supplies and technology related stuff. - anwarraif/R_ExploratoryDataAnalysis The dataset has been obtained from Kaggle, the famous data science platform. The Super Store Data Analysis Project leverages a dataset from Kaggle to demonstrate the extensive application of data analysis and visualization using Power BI Desktop. , model, category) Sales data by month and year; Store information (e. We selected a dataset comprised of superstore sales from Kaggle (full reference below). Oct 20, 2024 · This achievement uses tableau in making initial analysis for the Global Superstore Project to get insights into how profits can be maximised, and how marketing can be executed. g. I chose this data set to visualize some of the trends in apps downloaded by the users. This is superstore sales data so im going to perfrom sales analysis. Reload to refresh your session. The primary goal is to gain insights into the sales performance of the Superstore and create an interactive Power BI dashboard for business stakeholders. The findings provide insights into sales trends, regional performance, and other critical business metrics that can help improve strategic decision-making and business operations. Android users have even more from which to choose, with 2. Download the kaggle. Overview of Superstore Sales Dataset: Total number of orders Total sales Average profit. Superstore-Sales-Dashboard---Powerbi Power BI dashboards can be a helpfull tool to provide insights into sales performance and trends of an organization. Problem Statement: Predict Store Sales. Dataset containing Sales & Profits of a Superstore. Practice Your Data Analysis Skills as a Superstore Data Analyst Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. The Superstore’s business is notably profitable; however, data analysis has identified certain areas that require correction and optimization. head() Invoice Id is of no use for us, so lets make Date as our index column. df. Explore the "Superstore Dataset 2011-2015" from Kaggle. Tasks include working with Spark RDDs, Spark SQL, and Spark DataFrames to discover The transactions made by store can be seen in this part. Data Features: Product details (e. These apps have come to play a huge role in the way we live our lives today. In this Kaggle competition, you’re challenged to analyze a Google Merchandise Store (also known as GStore, where Google swag is sold) customer dataset to predict revenue per customer. Data Exploration. The dataset has information of 100k orders from 2016 to 2018 made at multiple marketplaces in Brazil. This analysis will show profits and sales and how they change year over year (YOY) for certian categories The Super Store dataset contains data on order details of customers for orders of a superstore ie; chain of multiregional stores under a brand globally. - rakii17/Super-Store-Data-Analysis OK, lets see the dataset again. Upload the kaggle. Connecting Database with Power BI Desktop; Analyzing the tables and relations; Data Cleaning using the Power Query Editor; Data Modeling; Writing DAX; Developing an Interactive BI Dashboard/Report Saved searches Use saved searches to filter your results more quickly A kaggle's sample superstore dataset, a kind of a simulation where you perform extensive data analysis to deliver insights on how the company can optimize its profit levels. The analysis has been visualized using Tableau, and provides an overview of the dashboards and visualizations created to gain insights into the bike sales data. Automate any workflow Write better code with AI Security The "Superstore Sales Analysis Using Excel" project, based on a Kaggle dataset, underwent thorough data cleaning before addressing vital sales questions. family identifies the type of product sold. Learn more This project involves the analysis and visualization of sales data from the Superstore dataset, which was imported from Kaggle. With thousands of individual managers predicting sales based on their unique circumstances, the accuracy of results can be quite varied. Manage code changes This Superstore analysis portfolio project aims to leverage sales data to optimize operations and boost profitability. Analysis about data of a superstore to make business decisions - lucalevi/superstore-dataset The dataset from Kaggle had little documentation. csv will store the predicted sales value. Power BI Data Analysis, Cleaning, Reporting, Visualization - MrSathekge/PowerBI This project involves the development of two interactive dashboards using Power BI to analyze the sales and profit performance of a US superstore. We will first clean the data, then use Machine Learning to predict the sales. Topics data-visualization feature-selection r-markdown regression-models binary-classification business-analytics In this Tableau Project, we analyse Sample Superstore dataset. Our Objective is to find the Most Popular Kaggle Dataset: Walmart Recruiting - Store Sales Forecasting. txt and test. Dec 13, 2023 · Dive into Big Data Analytics using Apache Spark. The objective of this dashboard is to provide the organization with a visual representation of real-time sales data, ultimately enhancing productivity and decision This GitHub repository contains the design of a model using the LightGBM algorithm to forecast store item demand based on a time series dataset obtained from a Kaggle competition. Actions. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. There are 9,994 entries of product ordered with 20 fields that give details about the product such as ship date, ship mode, region, product name, sales, quantity, profit, e. df2= df. The training data, comprising time series of features store_nbr, family, and onpromotion as well as the target sales. In this Superstore Sales Data Analysis project, an exploratory data analysis was performed on the Superstore Sales Data available on Kaggle. Key areas of focus include: 1. The dataset contains details about the orders placed by various users, the week and hour of the day the order was placed, and a relative measure of time between orders. The data comes from Kaggle's superstore dataset. Contribute to amrsayed22/SuperStore-analysis-project development by creating an account on GitHub. The link to the dataset is https://bit. Rossmann operates over 3,000 drug stores in 7 European countries. This dataset provides transaction details of customers who ordered different items from the bakery online during the time period from January 26, 2011, to December 27, 2003. ” disappear, so SQL was used to transform the data before importing to Power BI: My drive to know which products, regions, categories and customer segments a company should target or avoid, I search and selected an appropriate dataset on kaggle which will match a standard superstore requirement. Analyze a Google Merchandise Store customer dataset to predict revenue per customer. Steps to run the code: Run the Algorithm file on the datasets by entering the command - ----->python3 Final_submission. Objectives This project seeks to give a better understanding of Global Superstore's global market performance wrt sales, profit, quantities, countries/regions, product May 29, 2022 · An Interactive Dashboard for Superstore Sales that help in tracking different KPis like Sales, Profits, Quantity, Discount and have some exploration to get insights about sales and profits in different countries. - darshitparmar/Super Dataset containing Sales & Profit of a Superstore. This project uses the Global Superstore dataset, which is open source and available on Kaggle. vbstjyns guboauip rwpyh msf cem mzrnzqy debpr szht ajue yhzf