Pandas retail case study github Topics Trending Collections This case study uses Pandas and Matplotlib to analyze and visualize sales data - dev-jash15/sales-data-analysis. Contribute to kanechew/Data-Science-Retail development by creating an account on GitHub. Pandas Case Study 1 - Retail Case Study / Customer. In case you find this work useful, please cite it as @inproceedings{Jigsaw, author = {Jain, Naman and Vaidyanath, Skanda and Iyer, Arun and Natarajan, Nagarajan and Parthasarathy, Suresh and Rajamani, Sriram and Sharma, Rahul}, title = {Jigsaw: Large Language Models meet Program Synthesis}, booktitle = {ICSE 2022}, location = {Pittsburgh, Pennsylvania}, } It is a data analysis case study of a bakery that sells different types of bread, pastries, and cakes. Utilizing Python's powerful libraries, NumPy and pandas, we transform raw data into valuable insights. The goal is to provide a comprehensive exploration of retail sales, customer behavior, More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects This repository is a case study, web mvc spring-boot thymeleaf consumer banking j2ee ilp hacktoberfest banking-applications case-study sprint tcs online-banking retail-banking. Preview. More than 100 million people use GitHub to discover, By use case. Retail Case study by R . get_ipython(). AI-powered developer Retail Case Studies for Data Analysis. Find and fix vulnerabilities R_Retail_Case_Study Business Problem: A Retail store is required to analyze the day-to-day transactions and keep a track of it's customers spread across various locations along with their purchases/returns across various categories. Loading . - Contribute to yashmukaty/Analytics-Case-study development by creating an account on GitHub. ipynb_checkpoints / Insurance-checkpoint. For Explore and run machine learning code with Kaggle Notebooks | Using data from Retail Case Study Data Basic Pandas Case Studies related to domain like Retail, Credit Card and Insurance Claims. These case studies highlight the practical In this article, we’ll look at a retail dataset spanning four years of transactions (2011 to 2014). Exploring data analysis using Python with Jupyter notebooks, Matplotlib, Pandas and NumPy arrays. Pandas Exercises Fed up with a ton of tutorials but no easy way to find exercises I decided to create a repo just with exercises to practice pandas. Write better code with AI Security. Loading Dataset: The "Online Retail. run_line_magic('matplotlib', 'inline') Contribute to yashmukaty/Analytics-Case-study development by creating an account on GitHub. import matplotlib. In this we were given three tables namely "Customer","Products" and "Transactions". Leveraged Python libraries like Pandas, NumPy, Matplotlib, and Seaborn to extract insights on revenue metrics, customer retention, segmentation, cross-selling patterns, payment behavior, and customer satisfaction ratings. Key areas of focus include data cleaning, exploratory data analysis (EDA), and performance metrics computation to optimize business outcomes Retail_Case_Study ANALYTICS IN RETAIL: With the retail market getting more and more competitive by the day, there has never been anything more important than the ability for optimizing service business processes when trying to satisfy the expectations of customers. Reload to refresh your session. Data You signed in with another tab or window. In this we used the basic pandas, numpy, datetime and matplotlib libraries. Topics Trending Collections Enterprise Enterprise platform. This project zeroes in on products with sales sensitivity to price variations, exploring the nuances of price elasticity of demand (Epd). Chapter 2, Working with Pandas DataFrames, introduces you to the pandas library and shows you the basics of working with DataFrames. The overall strategy is to invest where others are investing, implying that the 'best' sectors and countries are the ones 'where most investors are investing'. Manage code changes Discussions. Practice your pandas skills! Contribute to guipsamora/pandas_exercises development by creating an account on GitHub. Pandas_Study_Materials. Automate any workflow Codespaces. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. Welcome to the Retail Case Study GitHub repository! This repository contains a comprehensive analysis and solution framework for addressing key challenges faced by retail businesses in today's competitive landscape. This Case Study has been done on the top of python 3. The Superstore Sales Data Analytics Project harnesses the capabilities of Python's pandas, matplotlib, and seaborn libraries to analyze and extract meaningful insights from a substantial dataset containing sales information from a retail superstore. Loading. Much to most of the data manipulation that's done in the Python world is done using Pandas memory structures and tools, making it one of the most important libraries in the Contribute to yashmukaty/Analytics-Case-study development by creating an account on GitHub. To make this look Why use Python in retail analytics? This article will explain the benefits of using Python for your retail analyses and the importance of data-driven retail strategies. AI Contribute to yashmukaty/Analytics-Case-study development by creating an account on GitHub. Using historical information, we've predict the likelihood of delayed payment You signed in with another tab or window. Using Python libraries like pandas and seaborn, it explores data characteristics, visualizes trends, and mines association rules with the Apriori With the retail market getting more and more competitive by the day, there has never been anything more important than the ability for optimizing service business processes when trying to satisfy the expectations of customers. import pandas as pd. info() method. Automate any {"payload":{"allShortcutsEnabled":false,"fileTree":{"5. xlsx" dataset is loaded using pandas and the initial structure of the dataset is examined with the . Basic Data Inspection: Understand the GitHub is where people build software. pyplot as plt. No description, website, or topics provided Studying Online Retail Dataset and getting insights from it - online-retail-case/Updated Exploratory Data Analysis (EDA) GitHub community articles Repositories. The required libraries, such as pandas, numpy, operator, datetime, sklearn. (order_date)) select order_month, sum (case when order_year = 2022 then total_sale else 0 end) as sale_2022, sum (case when order_year = 2023 Chapter 1, Introduction to Data Analysis, will teach you the fundamentals of data analysis, give you a foundation in statistics, and get your environment set up for working with data in Python and using Jupyter Notebooks. Quick Description — Seaborn is a python library for visualizing data. It analyzes the data and generates insights using Python libraries like numpy, pandas, matplotlib and seaborn to help Netflix decide which type of shows/movies to produce and how to grow the business. Contribute to sagarmore20110838/Retail-Case-study development by creating an account on GitHub. Contribute to dsmentors/Pandas_Study_Materials development by creating an account on GitHub. Market Basket Analysis to study customers purchases (Product association rules - Apriori Algorithm). Python---Retail-Case-Study ANALYTICS IN RETAIL: With the retail market getting more and more competitive by the day, there has never been anything more important than the ability for optimizing service business processes when trying to satisfy the expectations of customers. Contribute to yash-ping/3. It is built on top of matplotlib and closely integrated with pandas data structures. The Essential Guide to Pandas is structured to provide a comprehensive introduction to the powerful Pandas library for data analysis in Python. Sign in Product Pandas Case Study 3 - Insurance Claims Case Study /. Sign in Product Pandas Case Study 3 - Insurance Claims Case Study / Insurance. File metadata and controls. Exploring & solving queries on data using Pandas . The problem of this case study is given below: ANALYTICS IN CREDIT CARD INDUSTRY: Saved searches Use saved searches to filter your results more quickly GitHub is where people build software. Toggle navigation. Sign up Case Studies; Customer Stories Resources Open Source GitHub Sponsors. Unfortunately, not all vendors respect credit terms and some of Netflix-Business-Case-Study---EDA using Python The objective of this project is to analyze the given Netflix dataset and generate insights that could help Netflix in deciding which type of shows/movies to produce and how they can grow the business in different countries. . Download the dataset Online Retail and put it in the same directory as the iPython Notebooks. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. Skip to content. This repository houses code and instructions for analyzing an online retail dataset. DevSecOps DevOps CI/CD View all use cases By industry. Contribute to yashmukaty/Analytics-Case-study development by creating an account on GitHub. Navigation Menu Toggle navigation. - myinnos/Retail-Case-Study-Kaggle The objective is to identify the best sectors, countries, and a suitable investment type for making investments. The analysis was done on Jupyter Notebook. - n The main objectives of this project are to use the Kaggle API to retrieve retail order data, execute pandas data transformation in Python, and use SQL GitHub community articles Repositories. / assignments and case studies / 3. By meticulously working with the dataset. Find and fix Python_Numpy+Pandas_case_study. csv. Sign in Product GitHub Copilot. Fund open Eres un analista de datos en una empresa que se dedica a la distribución masiva de licores en el estado de IOWA, se solicita un analisis del costo en base a registros historicos que se han obtenido del ERP de la empresa, te han entregado varios archivos txt que contienen la información, por ende es necesario que crees un script que permita leerlos y además haga un GitHub is where people build software. This case study was conducted to analyze the probability of late payments of a B2B business through invoices. About. Pandas Case Study 3 - Insurance Claims Case Study":{"items":[{"name":". Find and fix More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. Topics Trending Collections This project delves into the exploration and analysis of US honey consumption data. You signed in with another tab or window. Healthcare Materials for following along with This is a retail case study. Sign in Product Pandas Case Study 2 - Credit Card Case Study / Delhivery is the largest and fastest-growing fully integrated player in India by revenue in Fiscal 2021. This project aims to The Pandas Library is arguably the most important library in the Python Data Science stack. Navigation Menu Pandas for Data Science. Navigation Menu Analytics-Case-study / 2. This is about how the retail stores data is used for doing various kind of analysis which could be in turn to find out their most selled products or many more such occurrences. Schuster is a multinational retail company dealing in sports goods and accessories Schuster conducts significant business with hundreds of its vendors, with whom it has credit arrangements. import numpy as np. main Contribute to punithyc/Pandas-casestudies development by creating an account on GitHub. Don't get me wrong, tutorials are great resources, but to learn is to do. ipynb Contribute to yashmukaty/Analytics-Case-study development by creating an account on GitHub. preprocessing, seaborn, and matplotlib, are imported to perform data manipulation, analysis, and visualization. Write better code with AI SQL Retail Case A Retail store is required to analyze the day-to-day transactions and keep a track of its customers spread across various locations along with their purchases/returns across various categories. Cannot retrieve latest commit at this time. Blame Contribute to yash-ping/3. Contribute to codebasics/project-da-online-retail-pandas development by creating an account on GitHub. library related studies: Numpy, Pandas, Seaborn and Matplotlib - troogg/case_studies-Kaggle. This Repository contains my case study and assignments done while learning Analysis with Python using Numpy, Pandas, Matplotlib and Seaborn GitHub community articles Repositories. ANALYTICS IN RETAIL: With the retail market getting more and more competitive by the day, there has never been anything more important than the ability for optimizing service business Basic Pandas Case Studies related to domain like Retail, Credit Card and Insurance Claims - nandan2511/Pandas_Case_Studies In this project, you will be working with transactional data from an online retail store. End_To_End-Python-Case-Study Analyzed customer, seller, and product data from Sep 2016 to Oct 2018 for a leading Indian online marketplace. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Here is some information on that video. 7 by using pandas, numpy, matplotlib and seaborn packages and code has been written on Jupyter Notebook "Pandas Retail Case Study" The problem of this case study is given below: ANALYTICS IN RETAIL: With the retail market getting more and more competitive by the day, there has never been Contribute to yashmukaty/Analytics-Case-study development by creating an account on GitHub. The dataset contains information about customer purchases, including product details, quantities, prices, From retail and healthcare to finance, the capacity to manipulate and analyze vast datasets using Pandas has profound implications. They aim to build the operating system for commerce, through a combination of world-class infrastructure, logistics operations of the highest quality, and cutting-edge engineering and technology capabilities. Sign in Product Actions. Case 1: Menentukan brand top 5: 🔗: 📜: Case 2: Multi-line chart daily quantity untuk brand top 5: 🔗: 📜: Case 3: Kuantitas penjualan brand top 5 selama Desember 2019: 🔗: 📜: Case 4: Penjulan produk diatas 100 dan dibawah 100 selama Desember 2019: 🔗: 📜: Case 5: Murah atau mahalkah harga produk brand top 5: 🔗: 📜: Case This case study looks into a carefully chosen dataset to uncover patterns, trends, and important insights inside Amazon's massive marketplace. Healthcare Contribute to Girishs2/SQL-Retail-Data-Analysis development by creating an account on GitHub. Contribute to ishitaac/Data-Science-and-Machine-Learning-Coding-ninjas development by creating an account on GitHub. 484 lines (484 loc) · 105 KB. GitHub community articles Repositories. Contribute to mariam222-cypro/Analytical_SQL_Case_Study development by creating an account on GitHub. EDA and Statisical Case Studies Performed data munging & wrangling, exploratory analysis, descriptive & statistical analysis and visualization of data on the following case studies: Retail Customer Analysis You signed in with another tab or window. A Retail store is required to analyze the day-to-day transactions and keep a track of its customers spread across various locations along with their purchases/returns across various categories. All the answers given written by myself - Datacamp-Data-Scientist-with-Python-2019-and-2020/Merging DataFrames with pandas/Codings/Chapter 4-Case Study GitHub community articles Repositories. The goal of this project is to answer various business questions using SQL queries and data visualization. AI-powered developer platform Available add-ons You signed in with another tab or window. Find and fix vulnerabilities You signed in with another tab or window. 2. Sign in Product Pandas Case Study 2 - Credit Card Case Study / With the COVID-19 pandemic, there has been a signficant boom in the e-commerce industry with more sellers shifting their businesses towards e-commerce platforms. Contribute to ImtiajEmon/Pandas-Case-Studies development by creating an account on GitHub. Epd measures the degree to which desire for a Contribute to codebasics/project-da-online-retail-pandas development by creating an account on GitHub. - TGDivy/IMDB-Case-Study. Using Python and pandas to explore the bakery’s sales data, answer some business questions, and generate insights that can help improve the bakery’s performance. Given the popularity of TV shows in Python-Retail-Data-Case-Study BUSINESS PROBLEM: A Retail store is required to analyze the day-to-day transactions and keep a track of its customers spread across various locations along with their purchases/returns across various categories. Topics Trending Collections In this project, I discuss various techniques associated with Data Cleaning with Python - pb111/Data-Cleaning-with-Python-and-Pandas Schuster is a multinational retail company dealing in sports goods and accessories. Find and fix vulnerabilities Actions. Sign in Product Pandas Case Study 3 - Insurance Claims Case Study / A Case Study Approach to Successful Data analysis Using Python, Pandas, and Matplot libraries - rajeevyen/Sample-Hotel-Booking-Data-Analysis-with-Python. This repository basically contains the analysis of the data of a retail company. Repo for the case study: The objective of this project is to apply RFM model to group online retail customers into segments based on This Case Study has been done on the top of python 3. Contribute to asimjafri/Python---Retail-Case-Study development by creating an account on GitHub. This research uses strong Python libraries like as Pandas, Matplotlib, and Seaborn to traverse through critical metrics, visualizations, and statistical analyses, giving light on product performance This repo goes with my video on "Solving real world data science videos with Python Pandas!". Unfortunately, not all vendors respect credit terms and some of This particular business case study focuses on the Netflix data and provides insightful information on 8807 shows. Healthcare Saved searches Use saved searches to filter your results more quickly Contribute to rvt123/Python-Pandas-Exercise development by creating an account on GitHub. Plan and track work Code Review. In the intricate landscape of business, pricing products demands meticulous consideration. Saved searches Use saved searches to filter your results more quickly Exploring data analysis using Python with Jupyter notebooks, Matplotlib, Pandas and NumPy arrays. More than 94 million people use GitHub to discover, fork, and contribute to over 330 million projects. Footer Retail Dataset Sales Case Study Analysis using SQL. Updated Sep 14, 2022; Java; mschermann / forensic This case study focuses on building a logistic regression model to predict high-potential lead conversions for X Education, using Python libraries such as pandas, NumPy, Seaborn, Matplotlib, GitHub community articles Repositories. Data is a precious asset for any type of business. 76 MB. Sign in Product Pandas Case Study 4 - Python Visualizations Case Study / Contribute to guipsamora/pandas_exercises development by creating an account on GitHub. It is the library of choice for working with small to medium sized data (anything that isn't quote-unqutoe "big data"). Collaborate outside GitHub is where people build software. Top. Netflix should continue to invest in producing content that resonates with different cultural and linguistic preferences around the world. / Pandas Exercise Online Retail files / Online_Retail. Navigation Menu By use case. Here is a brief overview of the chapters: Data Loading: Learn how to import data from various formats including CSV, Excel, and SQL databases to start your data analysis projects. ipynb_checkpoints","path":"5. While traditional rule-based methods have been used by Write better code with AI Security. Skip to content Toggle navigation. Write better Pandas Case Study -> consists of two Pandas Case Studies in variuos Pandas functionality is used. Pandas Basic Exercises / Exercise Data Files / Pandas Exercise Aggregation Files / occupation. Sign GitHub community articles Repositories. The main objective of this case study was to analyze the payment behavior of a B2B business and to predict the probability of late payments through You signed in with another tab or window. Contribute to Grossgl/MOD-7-Case-Study development by creating an account on GitHub. - amanag1/retail_analytics_case_study You signed in with another tab or window. The Welcome to the Retail Data Analysis project! This repository focuses on leveraging Python for analyzing and extracting insights from retail data. Raw. 7 by using pandas, numpy, matplotlib and seaborn packages and code has been written on Jupyter Notebook "Case Study 2-Credit Card Case Study" and data is also attached in CSV as per the problem. You signed out in another tab or window. - Udit754/US_Honey_Case_Study-Python-Data-Analysis- The data suggests that catering to local preferences is crucial for success. ipynb. ; EDA notebook which is an exploration of the data. The dataset contains information about sales, features, and stores of a retail chain. GitHub Copilot. This case study based on the e-commerce/retail domain We've Recognised customers’ payment behaviour based on their past payment patterns (customer segmentation). Automate any workflow GitHub community articles Repositories. Saved searches Use saved searches to filter your results more quickly Contribute to yash-ping/3. Pandas Case studies. Code. Topics Trending Collections Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. Instant dev environments Issues. By use case. Contribute to punitkmryh/Pandas-Case-studies development by creating an account on GitHub. Schuster conducts significant business with hundreds of its vendors, with whom it has credit arrangements. In this video we use Python Pandas & Python Matplotlib to analyze and answer business questions about 12 months worth of sales data. -Pandas-Case-Study-1---Retail-Case-Study development by creating an account on GitHub. Write better Case Study (Part - II). The dataset, which was provided by Blossom Academy in CSV format, relates to an international Pandas Case Study 1 - Retail Case Study. Blame. DevSecOps DevOps CI/CD View all use cases By industry This repository contains RFM analysis applied to identify customer segments for global retail company and to understand how those groups differ from each Online Retail Dataset Analytical SQL Case Study . Help a major retailer forecast their sales to minimize revenue loss from the unavailability of products by investing accordingly. Contribute to Akshi1206/Retail-Case-Study development by creating an account on GitHub. You switched accounts on another tab or window. Based on the three we had to initially merge all the tables and then work on the same based on the requirements on the company. This project is a case study analysis of a retail store dataset from Kaggle using SQL. We read every piece of feedback, and take your input very seriously. Contribute to ArnabBasak/AnalyticsLabs_CaseStudies development by creating an account on GitHub. Whether you're a retail executive, data analyst, or business consultant, this This project leverages Python and the Pandas library to analyze retail data, uncover insights, and drive decision-making. The problem of this case study is given below: ANALYTICS IN CREDIT CARD INDUSTRY: Contribute to yashmukaty/Analytics-Case-study development by creating an account on GitHub. - TGDivy/IMDB-Case-Study This Case Study has been done on the top of python 3. eqdnh nguoh cmhv pbb ezsxk zkahdd zbqic tmtbgae zwfud notv