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GitHub topics: retail-data

COOLKICKSNOW/Beginner-Data-Analysis-Project-SQL

🏡 Analyze real estate sales data using SQL with this beginner-friendly project, featuring setup, data loading, and essential queries.

Size: 3.91 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

lloydshanks/awesome-retail-technology

A curated list of awesome retail software, platforms, podcasts, and conferences.

Size: 165 KB - Last synced at: 4 days ago - Pushed at: 5 months ago - Stars: 12 - Forks: 0

fardousfa/Power-BI-Data-Analysis

This project presents an interactive Power BI dashboard built using retail sales data from January 2020 to Decmber 2023. The analysis uncovers key trends in sales performance, product categories, store-wise comparisons, and customer purchasing behavior.

Size: 729 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ConsciousUniverse/simple-stock-management

Simpler Stock Management is a stock & inventory web app. Designed for small businesses, charities and non-profits.

Language: JavaScript - Size: 9.68 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 161 - Forks: 88

ahsankhizar5/Retail-Sales-Analysis-Python-PowerBI

A complete retail sales analytics project using Python for data cleaning and EDA, and Power BI for dashboard visualization. Built as a capstone for the Business Analytics Bootcamp by CourseMea.

Language: Python - Size: 2.75 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Md-ShahNawaj/online-retail-data-analysis-python-sql-powerbi

A complete data analysis project on the Online Retail dataset using Python for data cleaning, SQL for analysis, and Power BI for dashboard creation. Covers RFM segmentation, cohort analysis, KPIs, and customer insights.

Language: Jupyter Notebook - Size: 99.6 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

A-iftikhar02/Retail-Product-Performance-Analysis

A retail sales data analysis project using Python and Pandas. Includes data cleaning, trend analysis, product performance insights, and visualizations. Part of my data analyst portfolio.

Language: Jupyter Notebook - Size: 67.4 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

A-iftikhar02/Sales-Analysis-EDA-Project

Exploratory Data Analysis on Superstore retail dataset using Python and Pandas. Includes data cleaning, trend analysis by category/region, and visual insights for business strategy. Ideal for Data Analyst portfolio.

Language: Jupyter Notebook - Size: 857 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

JuliaMoc/Retail_Store_Inventory_Project

A complete Excel-based BI solution for retail sales and inventory analysis. Featuring dynamic dashboard, automated KPI report, and real-world workflow simulations — all built in Excel to showcase its power beyond spreadsheets.

Size: 20.6 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

peter-abel/REGRESSION-MODEL

data-science

Language: Jupyter Notebook - Size: 319 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

SaiRanjithReddyK/aws-retail-realtime-analytics

A real-time data pipeline built with AWS Kinesis, Lambda, S3, Athena, and QuickSight, simulating and analyzing 70+ retail transactions. This project demonstrates how to stream, store, query, and visualize transactional data using fully managed AWS services, along with Python for simulation and Lambda logic, and SQL for analytics in Athena.

Language: Python - Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

neo4j-graph-examples/northwind

From RDBMS to Graph, using a classic dataset

Language: Cypher - Size: 1.78 MB - Last synced at: 5 months ago - Pushed at: 11 months ago - Stars: 24 - Forks: 12

gwarishubham01/sql_retail_sales_p1

**Retail Sales Analysis** is a beginner-level SQL project using the `sql_Project_P1` database to explore, clean, and analyze retail sales data. It helps build core data analysis skills through hands-on SQL queries.

Size: 0 Bytes - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

sawallesalfo/Trade_area_analysis

In the retail industry a trade area, also known as a catchment area, is the geographic area from where you draw your customers. Here I derive trade area from scratch

Language: Python - Size: 5.14 MB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 0

putrimd/Retail-Store-Analysis

Retail store analysis in Malls located in Istanbul using Python

Language: Jupyter Notebook - Size: 2.2 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Avinash793/FPGrowth-and-Apriori-algorithm-Association-Rule-Data-Mining

Implementation of FPTree-Growth and Apriori-Algorithm for finding frequent patterns in Transactional Database.

Language: Python - Size: 3.1 MB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 31 - Forks: 25

pavankethavath/DataSpark-Illuminating-Insights-for-Global-Electronics

DataSpark is a retail analytics project for Global Electronics leveraging Python, SQL, and Power BI. It uncovers customer insights, sales trends, and store performance to optimize marketing, inventory, and operations. Features include clean datasets, SQL-driven analysis, and interactive dashboards, driving data-driven growth and decision-making.

Language: Jupyter Notebook - Size: 3.76 MB - Last synced at: 5 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

paulsamuel-we/E-commerce-Customer-Behaviour-Dataset

This repository features a synthetic dataset for educational purposes, covering customer behavior and purchasing patterns on an e-commerce platform. It includes demographics, browsing and purchase history, and product reviews. Created by Gretel AI, it’s ideal for learning and research in data science and machine learning.

Size: 13.7 KB - Last synced at: 10 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

AmruhaAhmed/Exploratory-Data-Analysis-on-Retail-Sales-Data

Language: Jupyter Notebook - Size: 5.72 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

Md-Emon-Hasan/ML-Project-Amazon-Big-Mart-Sales-Prediction

đź›’ Big Mart store sales using a trained machine learning model. Web forms for user input and displays sales predictions based on historical data.

Language: Jupyter Notebook - Size: 2.11 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Joe-Oye/TATA-Online-Retail-Data-Analysis

This project was to review a client (TATA Online Retail business) data and provide insights that would be valuable to the CEO and CMO. Particularly to analyze what the major contributing factors are to the revenue so they can strategically plan for next year.

Size: 979 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ramongss/2021-CBIC-RossmannSales

:package::pill: Multi-Step Ahead Forecasting Applied to Rossmann Store Sales Case

Language: R - Size: 23.6 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

dgluesen/wrangling-sales-workload

Raw data of real analytical use cases in a number of industries and companies are frequently provided in an Excel-based form. These files usually cannot be processed directly in machine learning models, but must first be cleaned and preprocessed. In this process, many different types of pitfalls may occur. This makes data preprocessing an essential time factor in the daily work of a data scientist. In this concise project an Excel spreadsheet will be presented which in this form is closely oriented to a real case, but contains only simulated figures for reasons of data and business results protection. However, the form and structure of the file corresponds to a real case and could be encountered by a data scientist in a company in this way.

Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

RAVI-CHANDRIKA-05/Customer-Segmentation-Unsupervised-Learning

In this project, I will be performing an unsupervised clustering of customer's records from a Retail Chain.

Language: HTML - Size: 3.83 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

pareshg18/Customer-Segmentation

R-Analysis: Identifying high value customers and low value of customers using RFM modelling

Language: Jupyter Notebook - Size: 9.04 MB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 0

tejas79883/Exploratory-Data-Analysis-EDA--Retail-Sales-Data

Using Pandas, scikit learn, Seaborne libraries for data cleaning and exploratory data analysis on retail data

Language: Jupyter Notebook - Size: 1.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

geffy/retailhero-recommender-solution

3rd place solution for RetailHero.ai/#2

Language: Python - Size: 77.8 MB - Last synced at: 5 months ago - Pushed at: over 5 years ago - Stars: 16 - Forks: 1

AkhithaBabu/Retail-Sector

A sales forecasting problem in Retail Sector solved using time series analysis, machine learning and deep learning methodologies.

Language: Jupyter Notebook - Size: 45.7 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 1

LisaLi525/Retail-Customer-Segmentation-Profile

Customer Profile & Shopping Behavior Analysis is an R-based project analyzing customer data from retail stores, focusing on segmentation, seasonal trends, and market behaviors.

Language: R - Size: 14.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

nataljunior/Classifyingr-in-R

Classifying in R Identifying Categories for Customer Complaint’s Mediation Automation

Size: 347 KB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

SanyaGoyal/Time-Series-Modelling

Building Time Series Exponential Smoothing models to forecast temperature and ARIMA model to forecast weekly sales for a retail store.

Language: R - Size: 10.7 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1

klaudia-nazarko/rfm-analysis-python

This repository contains RFM analysis applied to identify customer segments for global retail company and to understand how those groups differ from each other.

Language: Jupyter Notebook - Size: 2.68 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 19 - Forks: 11

gswarge/pos_data_analysis

In this project, I analyzed the point of sale transactional dataset to identify sales trends, suggest menu changes, and the impact of pricing changes.

Size: 4.39 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 1

Dorsa-Arezooji/Retail-Analytics

Walmart sales prediction with Linear Regression and Random Forests + Bayesian Structure Learning

Language: Jupyter Notebook - Size: 3.21 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 1

EconMaett/matthiassp.github.io

Using Payment Transaction Data to monitor Turnover in Retail Trade and Services in Switzerland

Size: 45.9 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

iam-mhaseeb/EDA-on-Retail-Data 📦

This repository is implementation of Exploratory Data Analysis on Retail data.

Language: Jupyter Notebook - Size: 1.24 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 1

mhertzfeld/NRF_MerchandisingCalendar

.Net Standard library for working with the National Retail Federation Merchandising Calendar.

Language: C# - Size: 23.4 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 1

rajat7570/Improving-Consumer-Retailer-Connectivity

Data mining course project

Language: Jupyter Notebook - Size: 20.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 5

limchiahooi/customer-segmentation-rfm

This repo contains my customer segmentation project in Python.

Language: Jupyter Notebook - Size: 21.5 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 3

pratikdaga12/DataAnalysis-for-ClothingStoreData

SAS Data Analysis on Retail Clothing Data Set

Language: SAS - Size: 2.67 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

datasith/ds-datasets-sku110k

Scripts for manipulating the annotation files of the SKU110K dataset

Language: Jupyter Notebook - Size: 6.72 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

RRighart/Retail

A repo containing code for retail sales analyses

Language: Jupyter Notebook - Size: 27.3 KB - Last synced at: 10 months ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1

shizakhalidi/Retail-Sales-Data-EDA

Using Pandas, scikit learn, Seaborne libraries for data cleaning and exploratory data analysis on retail data

Language: Jupyter Notebook - Size: 2.09 MB - Last synced at: 10 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

saketgautam/Retail-Data-Analysis

A complete dashboard of Walmart Retail Data Analysis using Tableau.

Size: 1.64 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1

easonlai/exploratory_data_analysis_retail_sample

This is a sample code repository that leveraged "Walmart Dataset (Retail)" from Kaggle to perform Exploratory Data Analysis (EDA) and Weekly Sales Forecast model development for demonstration purposes.

Language: Jupyter Notebook - Size: 371 KB - Last synced at: 6 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 2

stalhabukhari/ARC

A vision-based Automatic Retail Checkout System

Language: Python - Size: 68.3 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 1

phanvinh0526/Data-Warehouse

Data Warehousing project | Outsourced for Autumn Group | Retail Outlet DW | Melbourne based | Sep - Feb 2018

Language: Batchfile - Size: 105 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

HeniMasmoudi/workshop

Unit testing for Data science projects

Language: Python - Size: 7.01 MB - Last synced at: 9 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

RobyRiyanto/Machine-Learning-For-Retail

Using the Apriori algorithm of the Arules package throughout this project to get insight into the top 10 and bottom 10 of the products sold, get a list of all product package combinations with strong correlations and get a list of all product package combinations with specific items.

Language: R - Size: 264 KB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1

deliverycenter/datalab-work-at-deliverycenter

Apply for a job at Delivery Center DataLab Team

Size: 26.9 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 5

akashjain04/FPGrowthAlgorithm

Usage of FPGrowth Algorithm to find frequent item sets

Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 2

Kish4869/Excel-Automation

Useful python tricks to speed up your time consuming excel works.

Language: Jupyter Notebook - Size: 1.17 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

saivivek7495/Retail-Price-Prediction-Hackathon-MachineHack-Competition

Machine Hack - Great Indian Hiring Hackathon - In this competition we were challenged to come up with an algorithm foretelling Retail prices.

Language: Jupyter Notebook - Size: 8.5 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

skribl5000/ParserA_ru

Parser + analyzer for cars just by one link

Language: Jupyter Notebook - Size: 75.2 KB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

stephaniebernhard/retail_analytics

Analysis of retail sales and time series forecast using exponential smoothing

Language: Jupyter Notebook - Size: 975 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Huang9495/GSPN

Code release for Geometry Supervised Pose Network for Accurate Retail Shelf Pose Estimation (GSPN) (IEEE TII).

Language: Python - Size: 1.29 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

mhertzfeld/MerchandiseCalendar Fork of Dromaeosaur/MerchandiseCalendar

Simple C# class library with functions related to the National Retail Federation's 4-5-4 Merchandise Calendar. Calendar starts in Febuary and ends in December. Additional information can be found here https://nrf.com/resources/4-5-4-calendar

Language: C# - Size: 36.1 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

indyfree/tailor

Clustering Algorithm for clustering retail products according to custom requirements.

Language: Jupyter Notebook - Size: 45.2 MB - Last synced at: 6 months ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

kumarUjjawal/retail_price_recommendation

Language: Jupyter Notebook - Size: 59.6 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

Related Keywords
retail-data 59 python 16 data-analysis 12 retail 11 data-science 11 machine-learning 8 data-visualization 8 python3 8 eda 8 pandas 7 exploratory-data-analysis 6 r 6 seaborn 5 customer-segmentation 4 time-series 4 deep-learning 4 powerbi 4 data 4 matplotlib 3 dashboard 3 dataset 3 linear-regression 3 sql 3 forecasting 3 data-cleaning 2 segmentation 2 jupyter-notebook 2 retail-intelligence 2 apriori-algorithm 2 time-series-analysis 2 business-analytics 2 inventory-management 2 association-rules 2 sales-analysis 2 portfolio-project 2 business-intelligence 2 data-engineering 2 dataanalysis 2 postgresql 2 rfm-analysis 2 random-forest 2 retail-technology 2 dataanalytics 2 clustering-algorithm 2 frequent-pattern-mining 2 excel 2 fp-tree 2 analysis 2 data-mining-algorithms 2 data-mining 2 computer-vision 2 onlinestore 1 seasonality-analysis 1 classifier 1 complain 1 svm 1 svm-classifier 1 svm-learning 1 svm-training 1 text 1 text-classification 1 text-mining 1 arima-model 1 presentation 1 tata 1 rossmann-store-sales 1 cleansing 1 human-resources 1 preprocessing 1 realworld 1 wholesale 1 wrangling 1 customer-analysis-for-retail 1 customer-analytics 1 pareto-analysis 1 rfm 1 numpy 1 skit-learn 1 collaborative-filtering 1 contest-solution 1 recommender-system 1 customer-profile 1 market-analysis 1 r-scripts 1 automation 1 checkout 1 data-warehousing 1 etl-pipeline 1 fred-apps 1 sqlserver-2014 1 star-schema 1 datascience 1 unittesting 1 workshop 1 transaction-dataset 1 delivery-data-science 1 association-rule-mining 1 datacleaning 1 datamining 1 fpgrowth 1