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Big Data Visualization

Big Data Visualization

By : James D. Miller
2 (1)
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Big Data Visualization

Big Data Visualization

2 (1)
By: James D. Miller

Overview of this book

Gain valuable insight into big data analytics with this book. Covering the tools you need to analyse data, together with IBM certified expert James Miller?s insight, this book is the key to data visualization success. ? Learn the tools & techniques to process big data for efficient data visualization ? Packed with insightful real-world use cases ? Addresses the difficulties faced by professionals in the field of big data analytics
Table of Contents (9 chapters)
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Example 1


In this chapter's first example, we'll use data collected from a theoretical hospital where upon admission, information about a patient's medical history is collected through an online survey. Information is also added to a patient's file as treatment is provided.

The file includes many fields, including basic descriptive data for the patient, such as:

  • sex

  • DOBMonth, DOBDay, DOBYear

  • height

  • weight

  • Bloodtype

Vital statistics, such as:

  • blood_pressure

  • heartrate

Medical history, such as:

  • no_hospital_visits

  • Surgeries

  • Major illnesses or conditions

  • Whether currently under a doctor's care

Demographical statistics, such as:

  • Occupation

  • Home state

  • Educational background

Some additional information is also collected in the file in an attempt to develop patient characters and habits such as the number of times the patient included beef, pork, and fowl in their weekly diet, or whether they typically use a butter replacement product, and so on.

Periodically, the data is dumped to text files, are comma...

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