Github Asmidazulkifli Samplesuperstore Sales Analysis This is a sample superstore dataset, which i get from kagle and the excel file deliver insights on how the company can increase its profits and minimizing the losses with extensive data analysis. In this article, i analyzed the popular sample superstore dataset using python (pandas, matplotlib) and power bi. the goal was to understand sales patterns, regional performances, and profit.
Github Asmidazulkifli Samplesuperstore Sales Analysis Sales analysis. contribute to asmidazulkifli samplesuperstore development by creating an account on github. The data for this analysis is sourced from the superstore sales dataset, which includes detailed information on orders, returns, users, and various dashboards and pivot tables. This portfolio showcases a comprehensive exploration of the superstore sales dataset, focusing on key performance indicators and actionable insights to drive business strategy. This tableau dashboard project utilizes the sample superstore dataset to provide an insightful analysis of sales performance. the dashboard is designed to facilitate interactive data exploration and visual representation of key metrics that drive business decisions.
Github Shahetal Superstore Sales Analysis This portfolio showcases a comprehensive exploration of the superstore sales dataset, focusing on key performance indicators and actionable insights to drive business strategy. This tableau dashboard project utilizes the sample superstore dataset to provide an insightful analysis of sales performance. the dashboard is designed to facilitate interactive data exploration and visual representation of key metrics that drive business decisions. About this project is a comprehensive business intelligence (bi) dashboard built in tableau using the superstore dataset. it transforms millions of rows of sales data into a 10 point strategic story, covering everything from high level kpis to deep dive shipping logistics and customer profitability. Project overview this project performs an end to end sales analysis on the sample superstore dataset to identify sales trends, profit drivers, loss making segments, and customer product performance. the goal is to generate business insights that can help improve profitability and decision making. It explores a sample superstore dataset through data cleaning, exploratory data analysis, and a simple regression model to understand and predict sales trends. superstore sales analysis. data analysis and sales prediction on sample superstore dataset using python, pandas, and linear regression. 🛒 superstore sales & profit insights dashboard a end to end data analysis project using mysql and power bi on a retail superstore dataset with ~9,994 records.
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