Age of the patient at the time of the operation (numerical).
The dataset contains cases from a study that was conducted between 1958 Y 1970 at the University of Chicago Billings Hospital on Survival of Patients Who Had Undergone Surgery for Breast Cancer. Exploratory analysis of Haberman's survival data This is used to create a story that will engage the viewer and offer deeper insights. Explanatory data analysis: once analysts understand the data and find its results, the best way to convey your ideas and findings is through images. As it is called with reason, used to explore hidden trends, the patterns in the data.Ģ. Exploratory data analysis: used by data analysts, Statisticians and data scientists to better understand the data. When data is complex and understanding micro details is essential, the best way is to analyze the data through images.ġ. Let us begin! Why visualize data?ĭata visualization is a way to create a story through your data. I have tried to incorporate an example using Haberman's cancer survival data to show how the images can help us find patterns in the data that the numbers do not show. This is a comprehensive guide to cover the basics of visualization. “A picture is worth a thousand words.” Similarly, an infographic / visual can help us analyze hidden data and patterns in a much easier way.
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