Investigating No Show Dataset

This is a data analytics project utilizing Python v.3 libraries Numpy, PANDAS, Matplotlib & Seaborn through Jupyter Notebook in order to investigate and analyze factors that may potentially affect rates of no shows in roughly 100,000 medical appointments in Brazil.

Required Software:

Jupyter Notebook

Numpy

PANDAS

Matplotlib

Seaborn

Analysis Outline:

Create a list of questions to answer using the available dataset.

Clean data by utilizing visual and programmatical cleaning processes.

Visualize data using appropriate charts and graphs

Document observations about the data using descriptive statistics.