Using Python Pandas Library to Analyze Sales Data
-
Updated
Mar 25, 2022 - Jupyter Notebook
Using Python Pandas Library to Analyze Sales Data
A Superstore management system made with JavaFX.
Superstore Sales and profit
Superstore sales analysis: EDA + KPI insights + profit prediction (XGBoost/RF) + Holt-Winters forecasting.
Dashboard Superstore for Mid Term Visual Information Course Submission in Unsika 2024
SQL data analysis projects on various topics
Interactive Tableau dashboard for analyzing Superstore sales, profit trends, top products, customer segments, and regional performance.
Data Visualization and Storytelling
The spark Foundation Internship-GRIP
Cleaned and transformed the Superstore Sales dataset using Python and Pandas to prepare it for interactive dashboarding and business insights.
A Time Series Analysis and Forecasting, using ARIMA and Prophet models, on a superstore dataset.
Case Superstore desenvolvido no Power BI
A comprehensive sales performance dashboard built in Power BI, analyzing the Superstore dataset.
SQL analysis on Sample Superstore (SQLite)
This is my Power BI Project for the Master Program
Exploratory Data Analysis (EDA) of retail sales using Python (pandas, matplotlib, seaborn). Includes data cleaning, visualizations, and business insights.
Superstore Analysis - Sales Forecasting, Product Insights & Regional Strategy
Global Superstore Data Visualization Using Tableau
This was done as a part of course project in CSE201 Advanced Programming Course.A SuperStore Management System using Javafx,OOPS concepts and Multithreading.Allows multiple user login and real-time GUI.
SuperStore Business Intelligence Dashboard
Add a description, image, and links to the superstore topic page so that developers can more easily learn about it.
To associate your repository with the superstore topic, visit your repo's landing page and select "manage topics."