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Superstore dataset kaggle github The dataset was obtained from Kaggle, specifically focusing on the superstore dataset, which provided the necessary information for the analysis. The goal is to uncover trends, identify top-performing regions and categories, and recommend actionable strategies to improve profitability and operational efficiency. - 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. head() Lets check some Statistics for our Dataset for the Global Superstore. With thousands of individual managers predicting sales based on their unique circumstances, the accuracy of results can be quite varied. - Khayati1/Rossman_Store_Sales_Kaggle_Dataset This Superstore analysis portfolio project aims to leverage sales data to optimize operations and boost profitability. Currently, Rossmann store managers are tasked with predicting their daily sales for up to six weeks in advance. Data Exploration. txt in the folder dataset includes the paths to the images in the training, validation and test set respectively. csv at master · Wunmi-O/Superstore The queries cover common data analysis tasks such as filtering, grouping, and aggregating data to extract useful insights. Ideal for anyone looking to explore SQL query techniques or work with business-related datasets. The data, sourced from the Superstore retail transaction dataset on Kaggle, covers the period from 2014 to 2018. You signed in with another tab or window. The dataset is in a CSV format with 51,290 observations and 24 features. Jun 25, 2024 · The Kaggle Global Superstore dataset is a comprehensive dataset containing information about sales and orders in a global superstore. We assumed it was in USD, however it could easily be CAD, considering this is data from a Canadian company. - darshitparmar/Super Kaggle实践. It is publicly available for educational purposes and has been downloaded as csv file for ease of use. Analysis about data of a superstore to make business decisions - lucalevi/superstore-dataset In this Superstore Sales Data Analysis project, an exploratory data analysis was performed on the Superstore Sales Data available on Kaggle. They would like to understand which products, regions, categories and customer segments they should target or avoid. describe() - It shows a summary of the numerical data. 2. 2 million App Data) and 21 attributes - GitHub - gauthamp10/apple-appstore-apps: Apple AppStore Apps dataset. Find dataset description and original dataset from here. Deleted the Profit: The profit generated by the order. This repository hosts a comprehensive dataset sourced from Kaggle, offering a rich collection of sales and order data from the Global Superstore. Reload to refresh your session. Data Reading: The dataset was read and imported into the project using the popular pandas library, allowing for efficient data manipulation and analysis. The dataset contains information on various aspects of each transaction, such as order details, customer information, product details, and sales figures. The data comes from Kaggle's superstore dataset. - rakii17/Super-Store-Data-Analysis OK, lets see the dataset again. Features SuperStore_BA is a Business analysis project. The Global Superstore dataset can be used for a variety of analyses, including sales forecasting, inventory management, customer segmentation, and profitability analysis. Contribute to Gejix/SuperStore_BA development by creating an account on GitHub. - Superstore/SampleSuperstore. It is available for free download from various sources, including the Microsoft website and Kaggle. By leveraging Power BI's data transformation and visualization capabilities, these 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. 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. The main aim of the project is to uncover insights into the store's sales and profits trends and patterns from 2014 to 2017. Learn more. 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 report analyzes various aspects of the dataset to extract meaningful insights. This project features dynamic dashboards that provide comprehensive insights into the operations of an apple superstore. 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 You signed in with another tab or window. The aim of this work is to analyze a dataset of purchases in an anonymous online store. Objectives This project seeks to give a better understanding of Global Superstore's global market performance wrt sales, profit, quantities, countries/regions, product The training data, comprising time series of features store_nbr, family, and onpromotion as well as the target sales. This dataset can be found on Kaggle. The dataset is in CSV format, comprising 51,290 observations and 24 features. Use pie charts to visualize the proportion of each Type, Year, Month, and 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. store_nbr identifies the store at which the products are sold. txt , val. Below, you will find the project structure, dataset description, and information about the model used. sales gives the total sales for a product family at a particular store at a given date. head() Invoice Id is of no use for us, so lets make Date as our index column. (link https://www. Contribute to amrsayed22/SuperStore-analysis-project development by creating an account on GitHub. 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 sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. copy() df. , 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. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. Manage code changes Store sales are influenced by many factors, including promotions, competition, school and state holidays, seasonality, and locality. Contribute to adamwdb/applestore_data development by creating an account on GitHub. family identifies the type of product sold. Rossmann operates over 3,000 drug stores in 7 European countries. ly/3i4rbWl . Overview This project involves analyzing a dataset from a superstore to gain insights into the store's operations and customer behavior. Source: Kaggle (Superstore Sales Analysis) Size: 138 rows and 20 columns Key Columns: Row_ID: Unique identifier for each record. Apple AppStore Apps dataset. Dataset Link In this repository I have my superstore sales analysis dashboard of kaggle. info() - It has 9800 entries and it shows that Postal Code has 11 missing values. It consists of 9994 purchases made from an anonymous online store and contains the following features: 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. OK, Got it. 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. Jun 17, 2024 · Saved searches Use saved searches to filter your results more quickly Aug 31, 2023 · This Power BI dashboard provides a comprehensive visualization of sales data from the Superstore dataset, showcasing the power of Power BI's major components. Aug 31, 2023 · This Power BI dashboard provides a comprehensive visualization of sales data from the Superstore dataset, showcasing the power of Power BI's major components. 📊 Just Launched out of practice: Simple Power BI Dashboard 🚀. It is a Global Superstore Dataset showing sales record detailing the shipping records of items categorized under Technology, Office Supplies and Furniture. Size_per_dept: average size of departments of a store may affects sales. 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. df. Discover key insights through interactive visualizations and DAX-powered dashboards. Contribute to MoustafaMohamed01/Data-Analysis-Superstore development by creating an account on GitHub. 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. 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. 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 Kaggle Dataset: Walmart Recruiting - Store Sales Forecasting. SUPERSTORE SALES AND PROFIT ANALYSIS. An Interactive Dashboard using Power Desktop on Global Superstore Dataset collected from Kaggle. Key areas of focus include: 1. We could not confirm the units of the sales data. c. Superstore Dataset From kaggle. Leveraged Kaggle's Walmart Recruiting dataset for comprehensive analysis. 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 three categories all account for over 30% of sales Predicting Walmart store sales using various regression models and deep learning techniques. - anuppm9917/Super-Store-Sales-Analysis-Power-BI-Project EDA for apple store dataset from kaggle. This project involves the analysis and visualization of sales data from the Superstore dataset, which was imported from Kaggle. 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. Saved searches Use saved searches to filter your results more quickly This project contains sql statements that includes the process of Data Warehousing and Data Mining - yannie28/Global-Superstore The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. Performing data science on Apple's App Store dataset from Kaggle - pikaju/app-store-analysis. 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. Using the superstore dataset from Kaggle, I will showcase different ways to query and summarize the data and answer some business questions. These projects involve exploratory data analysis and machine learning using libraries like pandas, numpy, seaborn, matplotlib, plotly, PySpark, tensorflow and time series analysis. Dashboard : 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. 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. SuperStore_BA is a Business analysis project. t. Categories and sub categories. It offers multiple interesting dimensions to explore like order priority, product category, ship mode, location details, product segment and time series information. 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. Problem Statement: Predict Store Sales. EDA and ML with Superstore Dataset off Kaggle This notebook illustrates a simple end-to-end analytics and ML solution. This is superstore sales data so im going to perfrom sales analysis. Dataset for the Global 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 can optimize its profit levels. Learn more 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. - dmarks84/Ind_Project_Superstore-Sales-Time-Series-Analysis--Kaggle Overview This project involves analyzing a dataset from a superstore to gain insights into the store's operations and customer behavior. The main task was to make predictions for future sales based on time-series analysis, which is found in Part 2. The data can be accessed via this link. Explore a comprehensive analysis of Global Superstore sales, products, profitability, and regions. Available on Europe Bike Store Sales. 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. However, at today's global scale the products go through complex supply chain networks needing large shipping times. The Dataset used was found on Kaggle. #make a copy of dataset, in case something goes wrong #Copying is not recommended for large datasets. Contribute to rmbennet/kg_superstore development by creating an account on GitHub. Order_ID: Unique identifier for each order. The dataset was presented in the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels", which appeared at WACV 2019. 2 million App Data) and 21 attributes You signed in with another tab or window. This project uses the Global Superstore dataset, which is open source and available on Kaggle. The Superstore’s business is notably profitable; however, data analysis has identified certain areas that require correction and optimization. set_index("Date", inplace=True) Lets see how our dataset looks now. . This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore Kaggle Superstore Dataset EDA/Predictions. The dataset is a Global Superstore dataset based on sales and was found on Kaggle. Explore the "Superstore Dataset 2011-2015" from Kaggle. 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. (1. Dataset from Kaggle . Jun 17, 2024 · Saved searches Use saved searches to filter your results more quickly This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. Superstore-Sales-Dashboard---Powerbi Power BI dashboards can be a helpfull tool to provide insights into sales performance and trends of an organization. Achieved high accuracy wit The dataset contains sales information for a superstore operating in the United States, covering all its branches across cities and states. From filters and slicers to various visualizations, calculated columns, and measures, this dashboard offers valuable insights into the sales performance of the Superstore. This repository contains the analysis of bike sales data obtained from the "Europe Bike Store Sales" dataset available on Kaggle. Contribute to dawangbaixiaofu/Kaggle- development by creating an account on GitHub. head() - It shows the first 5 rows of the data. com/datasets/jr2ngb/superstore-data ) The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. This Shiny dashboard provides an interactive visual representation of the Superstore Sales dataset obtained from Kaggle. The dataset has been obtained from Kaggle, the famous data science platform. 💼 Here's a quick overview of what you'll find in the dashboard: The SuperStore Database Management Project (DBMD) is a comprehensive solution designed to streamline and optimize the operations of an e-commerce business. Saved searches Use saved searches to filter your results more quickly 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 training data, comprising time series of features store_nbr, family, and onpromotion as well as the target sales. Dept_num: departments quantity of a store may affects sales. Recently, I got to know that there are sophisticated predictive models available that take into consideration seasonality and trends. The project works In this Superstore Sales Data Analysis project, an exploratory data analysis was performed on the Superstore Sales Data available on Kaggle. You signed out in another tab or window. The dataset from Kaggle had little documentation. The objective of this dashboard is to provide the organization with a visual representation of real-time sales data, ultimately enhancing productivity and decision Dataset containing Sales & Profit of a Superstore. Write better code with AI Code review. Store sales are influenced by many factors, including promotions, competition, school and state holidays, seasonality, and locality. This project involves the development of two interactive dashboards using Power BI to analyze the sales and profit performance of a US superstore. Using the Kaggle Dataset, we want to predict Walmart Store Sales. You can access the dataset here. You switched accounts on another tab or window. Independent Project - Kaggle Dataset-- I worked on the Superstore Sales Dataset, performing (as Part 1) data cleaning and preparation and exploratory data analysis. 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. We will first clean the data, then use Machine Learning to predict the sales. Find processed dataset from here. Our main KPI's for this Dataset were that of Total Sales, Profit and Quantity. How to use the dataset The files train. With growing demands and cut-throat competitions in the market, a Superstore Giant is seeking your knowledge in understanding what works best for them. Identified and removed a duplicate transaction record for the customer Laurel Beltran using the "remove duplicate" function. 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. - saljeshh/Superstore_sales_Data_analysis 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. 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. txt and test. 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. 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 contains a wealth of information regarding sales transactions, customer demographics, product lines, and payment methods, encompassing a total of 1000 entries and 17 columns. In this analysis, we delve into a comprehensive exploration of a supermarket sales dataset obtained from Kaggle. PROJECT OVERVIEW This repository contains a comprehensive analysis of sales and profit data from the Superstore dataset spanning 2014 to 2017. The link to the dataset is https://bit. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. The data was sourced from Kaggle in CSV format. kaggle. Overview of Superstore Sales Dataset: Total number of orders Total sales Average profit. 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. Datasets are als Dive into Big Data Analytics using Apache Spark. GitHub community articles Repositories. Tasks include working with Spark RDDs, Spark SQL, and Spark DataFrames to discover insights through transformations and SQL queries. The dataset is subset of a Global Superstore dataset which is from a global retail chain that sells office supplies, Furniture and Technology Stuff. Features Rossmann operates over 3,000 drug stores in 7 European countries. I got this dataset from kaggle. Superstore Data Dataset containing Sales & Profits of a Superstore Project Dataset: Superstore Project Source: Kaggle: Module 1 - dataset from Kaggle called 'Superstore Dataset' - gracegm/Module1 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. df2= df. The dataset subcategorized these items and showed shipping details to 147 countries across the world. 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 This dataset pertains to a superstore in the US, providing information on customer transactions from 2014 to 2017. This project’s data is open source, it is the Global Superstore dataset obtained from Kaggle. netjmi gtov mlmtb szatk eysldd yxmagek qmjt taltpod hoj ysqo