// eda.py — python · seaborn · sena crash course

Exploratory Data Analysis

Projects developed during the crash course 'Exploratory Data Analysis' directed by S.E.N.A. Covering ASUM-DM methodology, insurance data analysis, and data visualization with Seaborn.

// 01

(ASUM-DM) and Design Thinking

An infographic about the Analytics Solutions Unified Method for Data Mining (ASUM-DM) and Design Thinking methodologies.

ASUM-DM and Design Thinking — by Alejandro Pinto
// 02

Data Analysis of Insurance Payments

An analysis of insurance premium costs based on factors such as age, BMI, smoking status, and region. The goal is to identify correlations and inform decisions related to insurance pricing and policy.

View Notebook — Insurance Payments EDA
// 03

Data Visualization with Seaborn

A presentation covering different types of plots available in Seaborn, with practical examples for each visualization type.

Types of plots with Seaborn — by Alejandro Pinto
// 04

Final Report — Properties at CISA, Colombia

An exploratory data analysis of properties available for sale at CISA, Colombia.

EDA Final Report — Properties available for sale — by Alejandro Pinto