Data Frame

Abstract

1. Introduction

DataFrame is a tabular data structure for data analysis in Pharo. It organizes and represents data in a tabular format, resembling a spreadsheet or database table. It is designed to handle structured data and offer various functionalities for data manipulation and analysis. DataFrames are used as visualization tools for Machine Learning and Data Science related tasks.

2. Objective

DataFrame in Pharo - tabular data structures for data analysis

This project demonstrates how Smalltalk can be applied to a real-world Data Science problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• See the project README for exact requirements
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/PolyMathOrg/DataFrame.git
cd DataFrame

EpMonitor disableDuring: [
    Metacello new
      baseline: 'DataFrame';
      repository: 'github://PolyMathOrg/DataFrame:pre-v3/src';
      load ].

EpMonitor disableDuring: [
    Metacello new
      baseline: 'DataFrame';
      repository: 'github://PolyMathOrg/DataFrame/src';
      load ].

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Turn the analysis into an interactive dashboard
• Automate data refresh with a scheduled job
• Add a predictive model on top of the analysis

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. What is the source of the dataset and how was missing data handled?
2. Which exploratory analysis steps revealed the most useful insight?
3. Why were these particular charts chosen to present the data?
4. Which statistical or ML technique supports the conclusions?
5. How could the analysis be automated or refreshed with new data?

9. Source Code & License

This project is developed by PolyMathOrg and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.