In this work, I explore a dataset containing information of 100,000 medical appointments in Brazil. The aim of this analysis is to have more insights on what variables could have attributed to patients missing their appointments. More background details as well as the codes are in this repo. I put out a caveat that this project is more of concreting concepts of Exploratory Data Visualizations. Therefore, the visualizations lack key ingredients of Explanatory Data Analysis including but not limited to Low Chart Junk in terms of high Data-Ink Ratio, Design Integrity in terms of Lie Factor of 1 or lower and Design for Color Blindness. Regardless, it showed clear findings from the stance of the Data Analyst - me. I encourage that while going through the notebook, you assume the role of a Data Analyst rather than that of a stakeholder or decision maker.
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