"No show appointments" Data analysis project

The 1st project in “Advanced Data analysis” NANO degree from Udacity

INTRODUCTION:

The dataset contains information from more than 100k medical appointments

The project is focused on many questions

• 1. what is the difference between the show and no-show?
• 2. Patient's neighborhood could be a reason to absence?
• 3. Dose the Scholarship has a role in patient absence?
• 4. Dose the Hypertension has a role in patient absence?
• 5. Dose the Diabetes has a role in patient absence?
• 6. Dose the Alcoholism has a role in patient absence?
• 7. Dose the Handicap has a role in patient absence?
• 8. Dose the Gender has a role in patient absence?
• 9. Dose increasing the waiting days has a role in patient absence?
• 10. Dose the Appointment day has a role in patient absence?
• 11. what is making the patient missing his appointment? (Conclusions)

Steps:

using data analysis process to explore a data set and answer the questions we were interested on.

• 1. Data Wrangling [Data gathering, Data Assessing, Data cleaning]
• 2. Exploratory Data Analysis “Answering the questions”
• 3. conclusions