Using Python Pandas Library to Analyze Sales Data
The Super Store dataset contains data on order details of customers for orders of a superstore ie; chain of multiregional stores under a brand globally. This is a detailed analysis on customer behavior analysis.
This is an analysis made on a superstore to understand why they had been making losses over a four year period, yet it had accounts on a substantial amount of sales over the same year period.
This project provides an interactive analysis of Superstore sales data using Tableau, offering insights into sales performance, customer behavior, and market trends to help optimize business strategies.
EDA is Exploratory and Explanatory Data Analysis. Global Super Store from Kaggle.com . Superstores industry comprises of companies that operateby having large size spaces which store and supply large amounts of goods.
A SQL repo for understanding analytics from basics to advanced with the help of Super Store datasets. It contains SQL dump of Super Store Dataset provided by Tableau and various questions.
This is my Power BI Project for the Master Program
“Power BI dashboard analyzing Superstore sales, profit and margins by region, category, and segment.”
Business intelligence project capturing descriptive and predictive analytics
📊 Sales Analytics Dashboard built with Power BI — analyzing $2.30M in sales across regions, segments, categories & ship modes with dynamic slicers and DAX-powered KPIs.
Repository for Customer Segment Analysis using Python & Shiny App Dashboard
An interactive Power BI dashboard built using the Sample Superstore dataset to analyze sales, profit, quantity, customer segments, regions, categories, and sub-categories through dynamic visualizations and filters.
Case Superstore desenvolvido no Power BI
Interactive Power BI dashboard analyzing Super Store sales performance, profit trends, regional performance, customer insights, and key business KPIs through dynamic data visualizations.
Internship_Project_DataAnalysis
Plateforme de prédiction des bénéfices de vente (Superstore) avec modèle Machine Learning. Composée d'une API backend (FastAPI) et d'un tableau de bord interactif (Streamlit). — https://huggingface.co/kjd-dktech/superstore-profit-predictor
This Excel dashboard project is a collection of three interactive dashboards designed to demonstrate how spreadsheet tools can drive data storytelling and deliver operational insights. Each dashboard focuses on a different business function, using clean design principles and interactivity to make insights accessible for non-technical users.
A chatbot poc using chatgpt api. Text to SQL chatbot with streamlit interface
Course Work (Project)
To associate your repository with the superstore-data-analysis topic, visit your repo's landing page and select "manage topics."