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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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More examples


More areas where data quality may need be suspect include consistency, reliability, appropriateness, and accessibility. DataManager offers various means for addressing these as well.

Consistency

In an earlier example, we looked at the use of the DataManager VBScript node to reformat the record date field of our data. Another example where data may be valid yet still in constant include scenarios such as the value of the sex field.

The Male, M, Female, F, 1, or 2 values are all perhaps valid values yet these inconstant responses make visualization of data challenging. Using the VBScript node can easily address this example. Again, using the power and flexibility of VBScript, you might use the code shown in the following screenshot:

As we mentioned earlier in this chapter, it is common to have to cross-reference or translate information across data sources and the VBScript mode can be used in some cases; however, if the number of possible values are numerous (as we saw when we...

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