Github Sayedx Exploratory Data Analysis Retail Eda For Supermarkets

Github Sayedx Exploratory Data Analysis Retail Eda For Supermarkets Eda for supermarkets dataset. contribute to sayedx exploratory data analysis retail development by creating an account on github. Eda for supermarkets dataset. contribute to sayedx exploratory data analysis retail development by creating an account on github.

Github Tejas79883 Exploratory Data Analysis Eda Retail Sales Data This project showcases an exploratory data analysis (eda) on a retail sales dataset. it was completed as part of an internship task with technest, with the objective to extract business insights from raw transactional data. This project performs an exploratory data analysis (eda) on a retail supermarket dataset to uncover actionable insights related to sales, profit, and discount trends across multiple dimensions including geographic regions and product categories. This project presents a comprehensive analysis of retail sales data, aiming to extract meaningful insights that can inform business strategies and improve sales performance. This project is a comprehensive exploratory data analysis (eda) conducted on a restaurant menu dataset, aimed at uncovering patterns, trends, and actionable insights that could benefit decision makers in the food and hospitality industry.

Github Shreeyal Exploratory Data Analysis Retail This project presents a comprehensive analysis of retail sales data, aiming to extract meaningful insights that can inform business strategies and improve sales performance. This project is a comprehensive exploratory data analysis (eda) conducted on a restaurant menu dataset, aimed at uncovering patterns, trends, and actionable insights that could benefit decision makers in the food and hospitality industry. We found data from kaggle, uploaded it to the cocalc server to collaborate together using python, imported python packages, visualized the data, and trained different machine learning models. About this project analyzes a fictional retail dataset from a grocery delivery application in tamil nadu, india. it covers exploratory data analysis (eda), data preprocessing, feature engineering, and machine learning modeling to uncover sales patterns and predict future sales performance. This project performs an exploratory data analysis (eda) on a retail sales dataset containing transactional information such as product details, quantity ordered, price, sales amount, purchase address, and order date. The project aims to analyze supermarket sales across different branches and provide insight to understand the customer better. the dataset was taken from kaggle.

Github Mariammounier Exploratory Data Analysis Retail We found data from kaggle, uploaded it to the cocalc server to collaborate together using python, imported python packages, visualized the data, and trained different machine learning models. About this project analyzes a fictional retail dataset from a grocery delivery application in tamil nadu, india. it covers exploratory data analysis (eda), data preprocessing, feature engineering, and machine learning modeling to uncover sales patterns and predict future sales performance. This project performs an exploratory data analysis (eda) on a retail sales dataset containing transactional information such as product details, quantity ordered, price, sales amount, purchase address, and order date. The project aims to analyze supermarket sales across different branches and provide insight to understand the customer better. the dataset was taken from kaggle.