Online retail dataset github. The dataset has 541909 instances and 8 features .

Online retail dataset github The dataset used in this demonstration can be found in the UCI machine learning repository and it can be accessed via this link. It includes the product name, quantity, price, and other columns 3 days ago · Dataset Description: Online Retail II This dataset contains 525,461 transaction-level records from an online retail store based in the United Kingdom. Contribute to allanvc/onlineretail2 development by creating an account on GitHub. Jul 15, 2024 · In this project, you will be working with transactional data from an online retail store. This project simulates an online retail business (like Amazon) and uses SQL to extract valuable business insights from its database. Online-Shopping-Consumer-Behavior-Dataset Embark on a journey through the landscape of online shopping customer behavior with this project. Each row represents the transaction that occurs. About Online Retail data analysis, including: exploratory analysis, tools library developed by me which includes preprocessing and clustering algorithms pipelines. Aspiring to be a part of the AI/ML field, I have undertaken the task of The "Online Retail II" dataset is a collection of transactional data from an online retail store. Monthly or GitHub is where people build software. The project consists of two main activities: Visualizing Online Retail Data: Perform exploratory data analysis (EDA) on the dataset to gain insights and create visualizations. Publication: This data set was originally used in the following publications, - GitHub - SubeyteT/Customer-Lifetime-Value-Prediction-Online-Retail-Dataset: CLTV is a method for predicting a how much a customer's going to create value for a firm in a specific time. Contribute to vincenzrey/Online_Retail_Dataset development by creating an account on GitHub. xlsx", engine='openpyxl') This project analyzes and preprocesses the Online Retail dataset to uncover insights into customer purchasing behaviors, sales trends, and product performance. The Online Retail dataset is a transnational dataset containing all transactions between 01/12/2010 and 09/12/2011 for a UK-based non-store online retail company. Dataset Description: This dataset consists of is a weekly sales data of 54,000+ rows of data for for a global retail company with 8 attributes (qualitative and quantitative). "This is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail. The primary objective of this project is to analyze and understand customer behavior within an online retail dataset and develop a machine learning model for predicting customer churn - Mabelgerald Visualization form cleaned Dataset-Retail_Statistical_Analysis The Online Retail Report analyzes customer behavior, sales trends, and product performance in an online retail business. It comprises four tables: orders, order_items, products, and customers, and can be used for learning to write SQL queries in ecommerce and marketing settings. online retail final ML project. This dataset contains comprehensive information, including customer demographics, transaction details, product descriptions, and more. About UCI - Online Retail Dataset, Eploratory analysis and implementation of SVM, K Means Clustering and a few other models. EDA notebook which is an exploration of the data. This repository contains the analysis, transformation, and visualization of the Online Retail Transaction Data using Power BI, Power Query, Excel, and Python. A RFM model has been used to analyse the data. The company mainly sells unique all-occasion gifts. - Pankajppaa/Tata-online-retail-dataset an open online retail data set analysis. Association rule just like the name is the rule that aids in the identification of a relationship between a set of objects and an object that is already known. Online Retail Sales Analysis: A Data-Driven Approach to Optimizing Sales and Customer Insights For this project, I utilized the Online Retail Sales Dataset from Kaggle, which contains transaction-level data including product details, invoice numbers, customer information, and sales quantities. This project analyzes the Online Retail Dataset from the UCI Machine Learning Repository. It provides insights into customer orders, products, and sales. Contribute to dekseniya/Online-Retail-Dataset development by creating an account on GitHub. The analysis combines multiple e-commerce datasets, cleans and processes the data, and explores various dimensions of online sales performance Analysis of the Online Retail II dataset provided by the UCI, which contains transactions (including cancellations) carried out by an online retailer (mainly focused on gift items) between 01/12/2009 and 09/12/2011. Dec 1, 2010 · Studying Online Retail Dataset and getting insights from it - SarahMestiri/online-retail-case Online Retail Dataset This project explores customer behavior by diving into historical transaction data from an online retail company. Dataset: Use the Online retail dataset to apply the association rules. Data Preprocessing: Pre-process the dataset to ensure it is suitable for Association rules, this may include handling missing values, removing duplicates, and converting the data to appropriate format. The dataset provides insights into online retail transactions, including details such as InvoiceNo, StockCode, Description, Quantity, InvoiceDate, UnitPrice, CustomerID, and Country. Contribute to scheckley/online-retail development by creating an account on GitHub. The project is divided in 4 parts: EDA and extraction of the most relevant business insights in the dataset. Mining Association Rules: Apply the Apriori algorithm to find frequent itemsets and mine association rules from the dataset. Participants learn Pandas, Matplotlib, and gain practical skills in deriving insights from real online retail data, exploring trends and customer behaviors within the industry. Here the analysis has been done on the dataset of Tata retail services of different countries. The dataset was pre-processed by handling missing values and categorical data, and feature scaling was applied using standardization. Online Retail Data Analysis. The goal is to perform exploratory data analysis (EDA) and customer segmentation using RFM analysis to extract actionable business insights. The dataset includes transactions from a UK-based retailer that sells gifts worldwide. Overview: This project demonstrates an exploratory data analysis (EDA) on real-world transactional data from an online retail store. Built by: Chidiogor Nwafor Tools: MySQL, SQL This online retail store's Annual Sales Report, crafted through Excel's powerful tools. It captures detailed information about customer purchases, products, pricing, and order timestamps, making it suitable for sales analytics, customer behavior analysis, product performance evaluation, and SQL data engineering projects. - GitHub - arsiimam/Online-Retail-Analysis: This project analyzes the Online Retail Online-Retail-dataset-cleaning I was messing with the Online Retail || dataset for analysis purposes but as I was finishing cleaning the dataset (which took a good amount of time!), I realized that this might be a good opportunity to show why data cleaning takes a huge portion of the data scientist's time. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. This is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail. This is a dataset which consist of items description, invoice numbers, transactions, quantity and etc. After some general analysis we implemented customer analysis using RFM methods and then association rules were applied to find the best marketing decisions based on the sales. Embark on a thorough investigation as we navigate the transactional dataset of UCI, a non-store retail UK company, utilizing SQL queries and PowerBI visualization tools. Dataset Description: Our meticulously curated dataset encompasses a wealth of e-commerce sales and order details, offering a panoramic view of transactions, products, and customer preferences. Contribute to allanvc/onlineretail development by creating an account on GitHub. Add a description, image, and links to the online-retail-dataset topic page so that developers can more easily learn about it Solution for Online Retail Dataset. Processed & cleaned the data-set using Excel formulas & functions. It provides insights through visualizations and data-driven metrics to help optimize business strategies. The primary objective of this project is to analyze and understand customer behavior within an online retail dataset and develop a machine learning model for predicting customer churn - Mabelgerald Explore Online retail dataset and create customer segmentation using RFM (Recency, Frequency, Monetary) analysis. Nov 9, 2023 · How should we deal with returns in this data set? Let’s explore further: import pandas as pd # Load the data df = pd. Customer Segmentation to help us divide them into groups. Whether you're an analyst, a marketer, or a business strategist, this resource will provide you with valuable insights into the world of online retail. Contribute to shricharan-ks/Retail-datasets development by creating an account on GitHub. Key README online-retail-case Download the dataset Online Retail and put it in the same directory as the iPython Notebooks. This project analyzes and preprocesses the Online Retail dataset to uncover insights into customer purchasing behaviors, sales trends, and product performance. The goal of this project is to perform data cleaning, statistical analysis, and generate visualizations to uncover useful insights about the sales performance across different products, countries Performed Data Analysis on a UK-based online retail store data-set. Case Study: The dataset contains transactions from 2010 to 2011, providing valuable information such as product details Mar 6, 2025 · This project analyzes online shopping data to uncover customer preferences, shopping frequency, platform choices, and security concerns. . Key Sections in the Report Sales Performance Total revenue generated over a specific period. This is an SQL version of the popular Online Retail Dataset for import into a MySQL or MariaDB database. This main heading covers all aspects of customer behavior, purchase patterns, and monetary analysis. This project analyzes the Online Retail Dataset from the UCI Machine Learning Repository to uncover key insights into sales trends and customer behavior. Many customers of the company are wholesalers. This project focuses on analyzing the Online Retail Dataset (UCI Machine Learning Repository) and building predictive models to extract valuable business insights. UCL Machine Learning Repository: Online Retail Dataset This is a transactional data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail. read_excel("Online Retail. About This repository contains data analysis performed on the Online Retail Dataset, sourced from Kaggle. This repository contains a Power BI dashboard for analyzing the Online Retail Dataset (UCI Machine Learning Repository). - Huyen-P/UCI_Online_Retail_Analysis an open online retail data set analysis. The dataset contains transactional data from an online retailer, including invoice details, product descriptions, quantities, and customer information. The dataset underwent thorough data transformation, cleaning, and visualization to extract meaningful insights. Through meticulous data analysis, I uncover the intricacies of user choices, browsing habits, and purchasing decisions. This is a transnational data set which contains all the transactions occurring from December 1st 2010 until December 9th 2011 for a UK-based and registered non-store online retail. It includes data cleaning, exploration, and visualization, with the goal of enhancing understanding of online retail dynamics. From data cleaning to dynamic analysis using functions, pivot tables, and charts, I distilled key insights into store's performance over the year. We're using data preprocessing, feature engineering, clustering, and machine learning techniques to understand our customers better and identify valuable segments for targeted marketing strategies. Online-Retail-Dataset Project Overview: This project analyzes and visualizes a dataset of online retail sales. Solution for Online Retail Dataset. Using calculated fields, functions & filters in Tableau, performed Exploratory Data Analytics & Data Visualization via 16 Information Dashboards. GitHub Gist: instantly share code, notes, and snippets. It provides key business insights using DAX measures and interactive visualizations. The dataset contains information about customer purchases, including product details, quantities, prices Nov 6, 2015 · This dataset contains the final cleaned version of the UCI Online Retail Dataset, which has been processed by #EaintKyawtHmu. The company sells unique all-occasion gifts, and many customers are wholesalers. The Instacart Online Grocery Shopping Dataset 2017 Data Descriptions - data_description. Discover trends, metrics, and standout features in a comprehensive summary of digital marketplace journey. The dataset includes transactional data from a UK-based online retailer, covering the period between 2010 and 2011. APPLICATION OF APRIORI ALGORITHM IN GENERATING ASSOCIATION RULES ON AN ONLINE RETAIL DATASET Association is the relationship between two or more objects. Datasets focusing on online retail transactions, customer behavior, and product information. About Performed Data Analysis on a UK-based online retail store data-set. Segmentation the customers into groups according to their purchase About Coursera's Online Retail EDA project delves into analyzing online retail datasets, teaching data exploration, cleaning, and visualization using Python. In the realm of online retail, data-driven insights serve as a guiding light for strategic planning and informed decision-making. The dataset has 541909 instances and 8 features Online Retail I Dataset. Contribute to EfeObus/Online-retail-Dataset development by creating an account on GitHub. Through a thorough analysis of the online retail data, several key findings and business insights have emerged that can profoundly influence the company's expansion strategy and revenue optimization. This analysis empowers businesses with strategic insights for precise inventory management and sales planning in the coming year. Market Basket Analysis to study customers purchases (Product association rules - Apriori Algorithm). - wahyunh10 Online-Retail-II This study aimed to analyse an online retail dataset using various machine learning models. It played a crucial role as the foundation for exploring various aspects of online shopping A project analyzing an Online Retail dataset by using Excel, SQL and Power BI - GitHub - MohdAfiq98/Online-Retail-Analysis-Project: A project analyzing an Online Retail dataset by using Excel, SQL Mar 30, 2025 · This project analyzes online retail sales data to uncover business insights and support data-driven decision making. Online Retail II Dataset. The goal is to help a business make data-driven decisions by uncovering key sales trends, customer behavior, and product performance insights. md The project utilized the "Online Shopping Dataset" sourced from Kaggle. Also, applied Predictive Analytics & Statistical Models to develop… RFM analysis and association rules for an online retail data set. This project looks at the sales pattern of a product category in a retail store, using the store’s transaction dataset and identifying customer purchase behavior, to generate insights and recommendations. hztch jruwj hrrkh kfpa oozmcj qssthq nipznju saewq qogtf bgx begwrt spjs feam fqgr wwaf