Preprocessing-Financial-Data

This repository contains all project materials to analysis the company's financial data using a unprocessed dataset. Our main goal is to analyze the Financial data and provide valuable insights using the dataset. However, there are things that are needed to be done first. Please view the project guideline for more information!

Introduction

If you are new to this Repository, we have one main file that contains the main project coding Project-Code.ipynb, within this code you should be able to understand further about the data and how to preprocess the data. This project is completed using Microsoft Visual Studio with Python 3.12, if you are using a lower version of Python you might encounter issues that is not included in this project. The data is originally obtained from Kaggle.com, data author Atharva Arya and dataset. Feel free to explore more analysis beyond this report!

Project Idea

This project is centered around Data Preprocessing, Data Analysis, and Business Analysis. I aim to provide valuable business insights using current supervised or unsupervised data. I ultimately aim to improve business efficiency and tailor business strategies more closely.

Project Guideline

This project will follow:

1. Section 1: Pre-Processing
2. Section 2: Data Analysis
   • Sales and Profits Trends Over-Time 📈
   • Top Selling Products 🏆
   • Impact of Discounts on Sales 💰
   • Profitability by Country 🌎
3. Section 3: To Be Determined
4. Section 4: To Be Determined

Repository Contents

• Project-Code.ipynb: This Jupyter Notebook contains the data code we will be using for this project
• To Be Determined