Browse Library
Sign In Start Free Trial
Close icon Search icon
Account
Browse Library Sign In Start Free Trial

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Big Data Visualization
  • Table Of Contents Toc
Big Data Visualization

Big Data Visualization

By : James D. Miller , Dalong Chen
2 (1)
Buy this Book
close
close
Big Data Visualization

Big Data Visualization

2 (1)
By: James D. Miller , Dalong Chen
Buy this Book

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)
close
close
close
Preface
Icon
Preface
Icon
What this book covers
Icon
What you need for this book
Icon
Who this book is for
Icon
Conventions
Icon
Reader feedback
Icon
Customer support
Lock Free Chapter
1
1. Introduction to Big Data Visualization
Icon
1. Introduction to Big Data Visualization
Icon
An explanation of data visualization
Icon
Challenges of big data visualization
Icon
Approaches to big data visualization
Icon
Summary
2
2. Access, Speed, and Storage with Hadoop
Icon
2. Access, Speed, and Storage with Hadoop
Icon
About Hadoop
Icon
Log files and Excel
Icon
Hadoop and big data
Icon
Example 1
Icon
Example 2
Icon
Summary
3
3. Understanding Your Data Using R
Icon
3. Understanding Your Data Using R
Icon
Definitions and explanations
Icon
Adding context
Icon
About R
Icon
Example 1
Icon
Digging in with R
Icon
Example 2
Icon
Summary
4
4. Addressing Big Data Quality
chevron up
Icon
4. Addressing Big Data Quality
Icon
Data quality categorized
Icon
DataManager
Icon
DataManager and big data
Icon
Some examples
Icon
More examples
Icon
Summary
5
5. Displaying Results Using D3
Icon
5. Displaying Results Using D3
Icon
About D3
Icon
D3 and big data
Icon
Some basic examples
Icon
More examples
Icon
Summary
6
6. Dashboards for Big Data - Tableau
Icon
6. Dashboards for Big Data - Tableau
Icon
About Tableau
Icon
Tableau and big data
Icon
Example 1 - Sales transactions
Icon
Example 2
Icon
Summary
7
7. Dealing with Outliers Using Python
Icon
7. Dealing with Outliers Using Python
Icon
About Python
Icon
Python and big data
Icon
Outliers
Icon
Some basic examples
Icon
More examples
Icon
Summary
8
8. Big Data Operational Intelligence with Splunk
Icon
8. Big Data Operational Intelligence with Splunk
Icon
About Splunk
Icon
Splunk visualization -  real-time log analysis
Icon
Splunk visualization - deeper into the logs
Icon
Summary

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...

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Big Data Visualization
End of Chapter 4
Next Chapter
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options
font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected
Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful
Order Page Read Now

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon