Superstore Analysis Pdf Sales Business About exploratory data analysis of superstore sales using python for cleaning & eda, followed by sql queries for key business insights.". This dataset contains over 10,000 retail sales records across multiple regions, product categories, and customer segments. it includes information such as sales, profit, discount, quantity, and shipping details. the dataset is suitable for exploratory data analysis (eda), business insights, and machine learning projects. key columns: sales, profit, discount category, sub category, product name.
Analysis Of Superstore Database Pdf Data Analysis Data Science Exploratory data analysis — superstore dataset introduction for this project, we want to extract insights of superstore dataset such as sales pattern, product performance, and customer. 📊 superstore sales analysis | exploratory data analysis (eda) using python this project focuses on data cleaning, feature engineering, and exploratory data analysis on a superstore sales. This paper delves into a comprehensive analysis of sales data and customer feedback from superstore, a fictional retail chain that operates across multiple regions and product categories, to uncover actionable insights that can drive business strategy and enhance customer satisfaction. Proyek ini berfokus pada eksplorasi dan analisis dataset untuk menghasilkan insight yang bermakna dan mendukung pengambilan keputusan. fokus utamanya adalah memahami data, melakukan berbagai analisis, dan memvisualisasikan temuan untuk mengomunikasikan hasil pengamatan secara efektif.
Github Hammad400 Exploratory Data Analysis Superstore This Is Third This paper delves into a comprehensive analysis of sales data and customer feedback from superstore, a fictional retail chain that operates across multiple regions and product categories, to uncover actionable insights that can drive business strategy and enhance customer satisfaction. Proyek ini berfokus pada eksplorasi dan analisis dataset untuk menghasilkan insight yang bermakna dan mendukung pengambilan keputusan. fokus utamanya adalah memahami data, melakukan berbagai analisis, dan memvisualisasikan temuan untuk mengomunikasikan hasil pengamatan secara efektif. In this analysis of the sample superstore dataset, we combined python for deep exploration and tableau (link later) for interactive storytelling. Learn how to analyze supermarket data using python, from data collection and cleaning to exploratory data analysis, market basket analysis, customer segmentation, sales and revenue analysis, inventory management, pricing analysis, predictive analytics, and recommendation systems. This project focuses on performing exploratory data analysis (eda) on the popular superstore sales dataset. the objective is to uncover actionable insights, assess sales and profitability trends, and identify key business opportunities using data driven techniques. As an intern at the sparks foundation, i had the exciting opportunity to work on a project involving exploratory data analysis (eda) using tableau. the project focused on analyzing the.
Comments are closed.