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

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.

Analyzing the data for understanding the trends and patterns associated with Profit and sales of Superstore with the help of Data visualization tool - Tableau. The trends and patterns derived will give insight and insights will lead to recommendations help in business to strategies for growth.

Course Work (Project)

Excel, PowerBI and SQL

The Superstore Data Analysis Project is a data analysis initiative that focuses on understanding and extracting meaningful information from the Superstore dataset.

Visualization using Histogram, Here i ve super store dataset and performed visualization

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.

Mini project done as a part of TCS iON remote mentored internship.

Effortlessly navigate through total sales, delivery efficiency, profit trends, and segment-wise performance using interactive visualizations, providing a seamless way to optimize your sales strategy.

The "Superstore Dashboard Recreation" project is an ambitious endeavor to recreate the Superstore Dashboard originally found in Tableau. This recreated dashboard offers an alternative perspective and visualization of data, tailored to specific requirements and insights.

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 Dashboard and Forecast Reports using Power bi

📊 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.

Leveraging advanced data analysis techniques, this project is strategically designed to contribute to business success by delivering insightful visualizations, accurate sales forecasting, and actionable information.

Superstore Sales & Forecasting analyzes sales data to uncover trends, customer preferences, and future predictions. Through data cleaning, modeling, and visualization, insights on monthly peaks, geographic impact, payment methods, and top-selling categories guide strategic decisions.