jasmincaba / medical_appointment_no_shows

Udacity Project: Medical Appointment No Shows

Introduction

In this project we'll be analysing data from Medical Appointment No Show dataset from kaggle.com. This dataset consists of 110.527 medical appointments, and 14 variables.

Here is a list of variables:

• 01 - PatientId : Identification of a patient
• 02 - AppointmentID : Identification of each appointment
• 03 - Gender : Male or Female
• 04 - ScheduledDay : The day of the actuall appointment, when they have to visit the doctor.
• 05 - AppointmentDay : The day someone called or registered the appointment, this is before appointment of course.
• 06 - Age : How old is the patient.
• 07 - Neighbourhood : Where the appointment takes place.
• 08 - Scholarship : True of False
• 09 - Hipertension : True or False
• 10 - Diabetes : True or False
• 11 - Alcoholism : True or False
• 12 - Handcap : True or False
• 13 - SMS_received : 1 or more messages sent to the patient.
• 14 - No-show : True or False( No stands for patient showing up)

In this report we will look how patients who did not appear on scheduled appointment differ from patients who appeared.Most important variable is No_show and analysis will be focused on this variable and its relation with day of the week, patient gender and also with data if patient did or did not recieve sms notification about appointment.