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Superstore dataset kaggle github Key areas of focus include: 1. Dive into Big Data Analytics using Apache Spark. It consists of 9994 purchases made from an anonymous online store and contains the following features:. The dataset has been obtained from Kaggle, the famous data science platform. The data was sourced from Kaggle in CSV format. head() - It shows the first 5 rows of the data. EDA and ML with Superstore Dataset off Kaggle This notebook illustrates a simple end-to-end analytics and ML solution. The dataset was presented in the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels", which appeared at WACV 2019. This dataset can be found on Kaggle. NOTE: You can also view the Jupyter Notebook here as there has been errors in loading Jupyter Notebooks at times. 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. Profit: The profit generated by the order. You signed in with another tab or window. 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. Kaggle Superstore Dataset EDA/Predictions. t. You switched accounts on another tab or window. It is obligatory for any manufacturing firm to maintain continuity of its supply chain to meet customer needs timely. com . 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. Contribute to dawangbaixiaofu/Kaggle- development by creating an account on GitHub. The data comes from Kaggle's superstore dataset. 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. 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. Store sales are influenced by many factors, including promotions, competition, school and state holidays, seasonality, and locality. The SuperStore Database Management Project (DBMD) is a comprehensive solution designed to streamline and optimize the operations of an e-commerce business. Superstore Data Dataset containing Sales & Profits of a Superstore Project Dataset: Superstore Project Source: Kaggle: EDA is Exploratory and Explanatory Data Analysis. - darshitparmar/Super GitHub community articles Repositories. The dataset is in a CSV format with 51,290 observations and 24 features. 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. info() - It has 9800 entries and it shows that Postal Code has 11 missing values. txt and test. Sales Performance Analysis: 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 This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore This project uses the Global Superstore dataset, which is open source and available on Kaggle. You signed out in another tab or window. Superstore-Sales-Dashboard---Powerbi Power BI dashboards can be a helpfull tool to provide insights into sales performance and trends of an organization. describe() - It shows a summary of the numerical data. Overview of Superstore Sales Dataset: Total number of orders Total sales Average profit. In this repository all my projects that are related to Power BI are available. 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. Contribute to rmbennet/kg_superstore development by creating an account on GitHub. - 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. Superstore Dataset From kaggle. The dataset was obtained from Kaggle, specifically focusing on the superstore dataset, which provided the necessary information for the analysis. Global Super Store from Kaggle. Discover key insights through interactive visualizations and DAX-powered dashboards. This Shiny dashboard provides an interactive visual representation of the Superstore Sales dataset obtained from Kaggle. Superstores industry comprises of companies that operateby having large size spaces which store and supply large amounts of goods. This analysis will show profits and sales and how they change year over year (YOY) for certian categories This project involves the analysis and visualization of sales data from the Superstore dataset, which was imported from Kaggle. Recently, I got to know that there are sophisticated predictive models available that take into consideration seasonality and trends. This repository hosts a comprehensive dataset sourced from Kaggle, offering a rich collection of sales and order data from the Global Superstore. - Superstore/SampleSuperstore. This report analyzes various aspects of the dataset to extract meaningful insights. The primary goal is to gain insights into the sales performance of the Superstore and create an interactive Power BI dashboard for business stakeholders. It is publicly available for educational purposes and has been downloaded as csv file for ease of use. Saved searches Use saved searches to filter your results more quickly 📊 Just Launched out of practice: Simple Power BI Dashboard 🚀. - 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 The dataset is a Global Superstore dataset based on sales and was found on Kaggle. Currently, Rossmann store managers are tasked with predicting their daily sales for up to six weeks in advance. Reload to refresh your session. Contribute to amrsayed22/SuperStore-analysis-project development by creating an account on GitHub. How to use the dataset The files train. 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. It offers multiple interesting dimensions to explore like order priority, product category, ship mode, location details, product segment and time series information. , Rossmann operates over 3,000 drug stores in 7 European countries. Demonstration of basic data cleaning, analysis, and visualisation techniques in Python, using a sales dataset sourced from Kaggle. The dataset is in CSV format, comprising 51,290 observations and 24 features. com/datasets/jr2ngb/superstore-data ) Dataset containing Sales & Profits of a Superstore Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. xlsx at main · kalyan0309/Superstore-Sales-Dashboard Kaggle实践. 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 link to the dataset is https://bit. Power BI Data Analysis, Cleaning, Reporting, Visualization - MrSathekge/PowerBI This project contains sql statements that includes the process of Data Warehousing and Data Mining - yannie28/Global-Superstore This project’s data is open source, it is the Global Superstore dataset obtained from Kaggle. Independent Project - Kaggle Dataset-- I worked on the Superstore Sales Dataset, performing (as Part 1) data cleaning and preparation and exploratory data analysis. The data can be accessed via this link. 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 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. Dataset Link In this Superstore Sales Data Analysis project, an exploratory data analysis was performed on the Superstore Sales Data available on Kaggle. 2. - anwarraif/R_ExploratoryDataAnalysis Dataset containing Sales & Profit of a Superstore. 💼 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. The dataset from Kaggle had little documentation. The findings provide insights into sales trends, regional performance, and other critical business metrics that can help improve strategic decision-making and business operations. In this Superstore Sales Data Analysis project, an exploratory data analysis was performed on the Superstore Sales Data available on Kaggle. Introduction This project aims to analyze sales and consumer behavior using the Global Super Store dataset. 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. kaggle. csv at master · Wunmi-O/Superstore Saved searches Use saved searches to filter your results more quickly The data, sourced from the Superstore retail transaction dataset on Kaggle, covers the period from 2014 to 2018. Ideal for anyone looking to explore SQL query techniques or work with business-related datasets. c. It is available for free download from various sources, including the Microsoft website and Kaggle. Explore a comprehensive analysis of Global Superstore sales, products, profitability, and regions. 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. The main aim of the project is to uncover insights into the store's sales and profits trends and patterns from 2014 to 2017. Manage code changes This Superstore analysis portfolio project aims to leverage sales data to optimize operations and boost profitability. We assumed it was in USD, however it could easily be CAD, considering this is data from a Canadian company. ly/3i4rbWl . Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. - Superstore-Sales-Dashboard/Kaggle- Superstore Dataset (Modified). 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. This is a sales and profit analysis of "SuperStore" that was found on Kaggle. 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. We could not confirm the units of the sales data. With thousands of individual managers predicting sales based on their unique circumstances, the accuracy of results can be quite varied. In this repository I have my superstore sales analysis dashboard of kaggle. The dataset is subset of a Global Superstore dataset which is from a global retail chain that sells office supplies, Furniture and Technology Stuff. Below, you will find the project structure, dataset description, and information about the model used. Identified and removed a duplicate transaction record for the customer Laurel Beltran using the "remove duplicate" function. Write better code with AI Code review. In this personal Superstore Sales SQL Data Analysis project, an exploratory data analysis was performed on the Superstore Sales Data available on Kaggle. txt in the folder dataset includes the paths to the images in the training, validation and test set respectively. txt , val. Data Exploration. Contribute to MoustafaMohamed01/Data-Analysis-Superstore development by creating an account on GitHub. This dataset pertains to a superstore in the US, providing information on customer transactions from 2014 to 2017. 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. (link https://www. By leveraging Power BI's data transformation and visualization capabilities, these dashboards provide insights into key metrics such as top products, sales by customer segments, geographic trends, and profit analysis. Learn more The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. Tasks include working with Spark RDDs, Spark SQL, and Spark DataFrames to discover insights through transformations and SQL queries. The main task was to make predictions for future sales based on time-series analysis, which is found in Part 2. 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. 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. Analysis about data of a superstore to make business decisions - lucalevi/superstore-dataset 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. You can access the dataset here. Purpose: To research and clean a retail sales data set to identify trends in sales, customer behavior and product performance. 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. The Global Superstore dataset can be used for a variety of analyses, including sales forecasting, inventory management, customer segmentation, and profitability analysis. - SonamNath/SuperstorePowerBi The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. df. - Khayati1/Rossman_Store_Sales_Kaggle_Dataset Dataset from Kaggle . Deleted the An Interactive Dashboard using Power Desktop on Global Superstore Dataset collected 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. Explore the "Superstore Dataset 2011-2015" from Kaggle. Data Reading: The dataset was read and imported into the project using the popular pandas library, allowing for efficient data manipulation and analysis. However, at today's global scale the products go through complex supply chain networks needing large shipping times. alxj sadfeg mab mrfemfs kigxyu hdx icdnp jbazf nnfrge qpqpgz