Intro to Data Mining: Project 1

Picking a problem and a dataset, then exploring it enough to know whether the question can be answered.

coursework Winter 2025 Data Mining, Project, Data Exploration, Problem Definition, EDA

Project-1-Problem-Definition.ipynb ↓Project_1_Problem_Definition.html ↓

Intro to Data Mining: Project 1

Project Overview

This project focuses on the critical first phase of any data mining task: problem definition and exploratory data analysis. Understanding your data is the foundation for successful modeling and analysis.

Objectives

Problem Understanding

Define clear research questions and objectives
Identify the target variable and relevant features
Establish success criteria and evaluation metrics

Data Exploration

Examine dataset structure and characteristics
Identify data types and distributions
Detect missing values and outliers
Understand relationships between variables

Visualization

Create informative visualizations to reveal patterns
Use appropriate chart types for different data types
Build a narrative through visual storytelling

Methodology

Data Collection: Gathering and loading the dataset
Initial Inspection: Understanding data structure and quality
Statistical Analysis: Computing descriptive statistics
Visual Exploration: Creating plots and charts
Insight Generation: Documenting findings and hypotheses
Plan Development: Outlining next steps for analysis

Key Deliverables

Comprehensive problem statement
Detailed data quality report
Exploratory visualizations with interpretations
Analysis plan for subsequent phases

Skills Demonstrated

Critical thinking and problem formulation
Data exploration techniques
Visualization best practices
Communication of technical findings