Superstore Sales with Streamlit is a data visualization and analysis project that uses the Streamlit framework to create an interactive web application for exploring and analyzing sales data from a superstore. This project aims to provide an easy-to-use interface for users to gain insights into sales trends, Sales performance, product performance,

Super store sales streamlit interactive dashboard

This repository contains an interactive Superstore Sales Dashboard built with Streamlit, Pandas, and Plotly. It provides a Power BI-style interface featuring key performance indicators (KPIs), sales trend analysis, and category-wise visualizations, along with filters for date range, region, and product category. The project serves as a practical da

Interactive sales & revenue dashboard built with Streamlit & Plotly on the Superstore dataset.

This is an interactive data analytics dashboard built with Python and Streamlit, using Brent Superstore dataset. This project provides real-time business insights through visualizations like sales trends, regional performance, profit analysis, customer segments, and discount impact.

This project is an interactive data analytics and machine learning dashboard built using Streamlit and the Superstore dataset. It provides dynamic visual insights into sales performance and enables users to predict profitability of transactions using a trained machine learning model.

This repository contains an interactive data visualization dashboard built using Streamlit, designed to explore and analyze the "Superstore" dataset. The dashboard allows users to upload their own dataset or use a default one to explore various sales metrics and insights.

Superstore Sales Analysis + Streamlit Dashboard

Interactive Streamlit dashboard for Global Superstore sales analysis

Superstore Sales Analytics Dashboard built with Streamlit and Plotly.

Interactive Streamlit dashboard for Superstore sales data analysis with dynamic filters and visualizations.

📊 A Streamlit-powered interactive sales dashboard using Superstore data. Visualize KPIs, trends, top products, and category-wise sales.

Interactive Streamlit dashboard for Global Superstore with filters (Region, Category, Sub-Category), KPIs (Sales, Profit), and Top 5 Customers by Sales.

📊 An interactive Streamlit dashboard that analyzes Superstore sales data to uncover key business insights. Gain deep visibility into sales performance, regional trends, top-performing categories, and customer profitability.

Superstore Data Analysis and Visualization This project provides an interactive data analysis and visualization platform for the Global Superstore dataset using Streamlit. The platform allows users to explore sales and profit data across different product categories, filter data by specific categories, and visualize trends.

An interactive Exploratory Data Analysis (EDA) dashboard built with Streamlit and Plotly to analyze SuperStore sales data. Easily filter data by region, state, and city, visualize trends, and export insights.

Superstore Data Analysis and Visualization This project provides an interactive data analysis and visualization platform for the Global Superstore dataset using Streamlit. The platform allows users to explore sales and profit data across different product categories, filter data by specific categories, and visualize trends.

An interactive and insightful Sales Dashboard built using Streamlit and Plotly, designed to analyze the Global Superstore dataset. This dashboard delivers dynamic KPIs, trend analyses, customer segmentation, city-level performance, and product insights—ideal for business analysts, data professionals, and dashboards portfolios.

This repository contains a fully interactive Business Intelligence dashboard built with Streamlit and Plotly. It analyzes the Global Superstore dataset, providing KPIs like Total Sales, Total Profit, Top 5 Customers, and visualizations by Region, Category, and Sub-Category. Designed for data exploration, insights, and portfolio showcase.

Streamlit dashboard for Superstore sales analysis.

Publishing Data Analysis on Streamlit

Interactive Streamlit dashboard analyzing Superstore sales

Streamlit-powered SuperStore EDA Dashboard with dynamic date filters, region/state/city drilldown, time series, treemap, pivot tables & scatter plot — built with Python & Plotly.

Interactive sales dashboard using Streamlit & Plotly

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Interactive Streamlit dashboard for Superstore sales analysis

No description available

Superstore Sales with Streamlit is a data visualization and analysis project that uses the Streamlit framework to create an interactive web application for exploring and analyzing sales data from a superstore. This project aims to provide an easy-to-use interface for users to gain insights into sales trends, Sales performance, product performance

No description available

No description available