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.

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

No description provided.

Case Superstore desenvolvido no Power BI

Internship_Project_DataAnalysis

Business intelligence project capturing descriptive and predictive analytics

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.

TASK-3 by "THE SPARK FOUNDATION" EDA on dataset "SAMPLESUPERSTORE"

“Power BI dashboard analyzing Superstore sales, profit and margins by region, category, and segment.”

Course Work (Project)

A chatbot poc using chatgpt api. Text to SQL chatbot with streamlit interface

Using the Superstore dataset, the goal of this machine learning project is to perform Exploratory Data Analysis (EDA) and implement clustering techniques to gain insights into customer behavior and optimize the store's operations.

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.

Interactive Dashboard & Performance Report Highlighting Key Insights and Strategic Recommendations

Fully interactive Tableau dashboard with parameter actions, dynamic metric switching & state highlighting — built on Sample Superstore dataset

Analyze the SuperstoreUS database, using SQL and Tableau.

In this repository I cleaned the dataset of a Super Store Sales and then create an interactive dashboard.

📊 Problem Statement :: XYZ Company executives needed a comprehensive overview of their sales and profit performance from 2012 to 2015. The goal was to analyze key metrics including profit by region, top products, and sales insights to inform strategic decisions.

Developed machine learning predictive models and customer segmentation using k-means clustering for a superstore gold membership

This project applies RFM (Recency, Frequency, Monetary) analysis to segment SuperStore customers based on purchasing behavior. The goal is to support marketing campaigns by identifying loyal, promising, and at-risk customers using Python.

This repository contains the steps and information related to my Power BI project, where I used CSV data to create insightful visualizations. In this REPOSITORY, I'll provide an overview of the project and the key steps involved.

Superstore Sales Analysis

superstore Sales Analysis Using Python

Designed an interactive Power BI dashboard to drive business growth by leveraging time series analysis for uncovering trends and enabling accurate sales forecasting. Utilized dynamic visualizations, DAX measures, and drill-down capabilities to transform raw sales data into actionable insights.

SuperStore Sales Dashboard and Forecast Reports using Power bi

Excel-based Superstore Sales Dashboard using PivotTables & Data Visualization