Appointments: A Data Analysis Project

Project Overview

This project used a Kaggle dataset with information from 100K medical appointments in Brazil that focused on whether the patient showed up for their appointment or were a no-show for their appointment. All of my analysis is saved in a Jupyter Notebook.

Skills

  • Data Gathering
  • Data Assessing
  • Data Cleaning
  • Exploratory Data Analysis
  • Data visualizations with Matplotlib and Seaborn

Insights

From the analysis made we can see that females have the highest percentage of appointments and men show up to their appointments at a higher percentage of their appointments than women.

Tuesday and Wednesday account for 47.60% of all appointments. There are no appointments on Sunday. Thursday and Saturday have the highest percentage of appointments made. Monday and Wednesday have the highest percentage of appointments missed.

Appointments for younger patients have a higher percentage of missed appointments than those of the older patients, excluding patients 100+ years old. Patients 100 years old or older miss 60% of their appointments.

Jupyter Notebook