This dataset collects information from 100k medical appointments in Brazil and is focused on the question of whether or not patients show up for their appointment. A number of characteristics about the patient are included in each row. which includes
PatientId, AppointmentID
*Gender(male, female)
ScheduledDay, AppointmentDay
*Age (start from age 0-115)
Neighbourhood, Scholarship
diseases/ diabilities that the patient have which are Hipertension Diabetes Alcoholism Handcap.
*SMS_received
*No-show
‘ScheduledDay’ tells us on what day the patient set up their appointment
‘Neighborhood’ indicates the location of the hospital
‘Scholarship’ indicates whether or not the patient is enrolled in Brasilian welfare program Bolsa Família.
NOTE: about the encoding of the last column: it says ‘No’ if the patient showed up to their appointment, and ‘Yes’ if they did not show up
Question(s) for Analysis
Do Gender Affect Appointment Show Up
What is the Relationship between age and no_show appointment
What day of the week was appointment set and what day to they show up the most.