Using Python Pandas Library to Analyze Sales Data
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Updated
Mar 25, 2022 - Jupyter Notebook
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.
Repository for Customer Segment Analysis using Python & Shiny App Dashboard
This is my Power BI Project for the Master Program
Case Superstore desenvolvido no Power BI
Internship_Project_DataAnalysis
Business intelligence project capturing descriptive and predictive analytics
A Sample Superstore Dashboard created using Power BI analyzing Sales.
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"
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.
Course Work (Project)
A chatbot poc using chatgpt api. Text to SQL chatbot with streamlit interface
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 Using Python
Excel dashboard analyzing Superstore sales and profitability across categories, regions, and customer segments. Built with PivotTables, slicers, and charts.
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