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KNIME Essentials
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About This Book
In Detail
KNIME is an open source data analytics, reporting, and integration platform, which allows you to analyze a small or large amount of data without having to reach out to programming languages like R.
"KNIME Essentials" teaches you all you need to know to start processing your first data sets using KNIME. It covers topics like installation, data processing, and data visualization including the KNIME reporting features. Data processing forms a fundamental part of KNIME, and KNIME Essentials ensures that you are fully comfortable with this aspect of KNIME before showing you how to visualize this data and generate reports.
"KNIME Essentials" guides you through the process of the installation of KNIME through to the generation of reports based on data. The main parts between these two phases are the data processing and the visualization. The KNIME variants of data analysis concepts are introduced, and after the configuration and installation description comes the data processing which has many options to convert or extend it. Visualization makes it easier to get an overview for parts of the data, while reporting offers a way to summarize them in a nice way.
Approach
"KNIME Essentials" is a practical guide aimed at getting the results you want, as quickly as possible.
Who this book is for
"Knime Essentials" is written for data analysts looking to quickly get up to speed using the market leader in data processing tools, KNIME. No knowledge of KNIME is required, but we will assume that you have some background in data processing.
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Yes, you can access KNIME Essentials by Gabor Bakos in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Processing. We have over one million books available in our catalogue for you to explore.
Information
KNIME Essentials
Table of Contents
KNIME Essentials
Credits
About the Author
About the Reviewers
www.PacktPub.com
Support files, eBooks, discount offers and more
Why Subscribe?
Free Access for Packt account holders
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Downloading the example code
Errata
Piracy
Questions
1. Installing and Using KNIME
Few words about KNIME
Installing KNIME
Installation using the archive
KNIME for Windows
KNIME for Linux
KNIME for Mac OS X
Troubleshooting
KNIME terminologies
Organizing your work
Nodes
Node lifecycle
Meta nodes
Ports
Data tables
Port view
Flow variables
Node views
HiLite
Eclipse concepts
Preferences
Logging
User interface
Getting started
Setting preferences
KNIME
Other preferences
Installing extensions
Workbench
Workflow handling
Node controls
HiLite
Variable flows
Meta nodes
Workflow lifecycle
Other views
Summary
2. Data Preprocessing
Importing data
Importing data from a database
Starting Java DB
Importing data from tabular files
Importing data from web services
REST services
Importing XML files
Importing models
Other formats
Public data sources
Regular expressions
Basic syntax
Partial versus whole match
Usage from Java
References and tools
Alternative pattern description
Transforming the shape
Filtering rows
Sampling
Appending tables
Less columns
Dimension reduction
More columns
GroupBy
Pivoting and Unpivoting
One2Many and Many2One
Cosmetic transformations
Renames
Changing the column order
Reordering the rows
The row ID
Transpose
Transforming values
Generic transformations
Java snippets
The Math Formula node
Conversion between types
Binning
Normalization
Text normalization
Regular expressions
Multiple columns
XML transformation
Time transformation
Smoothing
Data generation
Generating the grid
Constraints
Loops
Workflow customization
Case study â finding min-max in the next n rows
Case study â ranks within groups
Summary
3. Data Exploration
Computing statistics
Overview of visualizations
Visual guide for the views
Distance matrix
Using visual properties
Color
Size
Shape
KNIME views
HiLite
Use cases for HiLite
Row IDs
Extreme values
Basic KNIME views
The Box plots
Hierarchical clustering
Histograms
Interactive Table
The Lift chart
Lines
Pie charts
The Scatter plots
Spark Line Appender
Radar Plot Appender
The Scorer views
JFreeChart
The Bar charts
The Bubble chart
Heatmap
The Histogram chart
The Interval chart
The Line chart
The Pie chart
The Scatter plot
Open Street Map
3D Scatterplot
Other visualization nodes
The R plot, Python plot, and Matlab plot
The official R plots
The RapidMiner view
The HiTS visualization
Tips for HiLiting
Using Interactive HiLite Collector
Finding connections
Visualizing models
Further ideas
Summary
4. Reporting
Installation of the reporting extensions
Reporting concepts
Importing data
Sending data and images to a report
Importing from other sources
Joining data sets
Preferences
Using the designer
In visible views
Report properties
Report items
Label
Text
Binding
Dynamic text
Data
Image
Grid
List
Groups
Sorting
Filters
Table
Chart
Cross Tab
Setting up
Changing
Using data cubes
Quick Tools
Aggregation
Relative time period
Generating reports
Using colors
Using HiLite
Using workflow variables
Suggested readings
Summary
Index
KNIME Essentials
Copyright © 2013 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
First published: October 2013
Production Reference: 1101013
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-84969-921-1
www.packtpub.com
Cover Image by Abhishek Pandey (
<[email protected]>)Credits
Author
GĂĄbor Bakos
Reviewers
Thorsten Meinl
Takeshi Nakano
Acquisition Editors
Saleem Ahmed
Edward Gordon
Commissioning Editor
Amit Ghodake
Technical Editors
Iram Malik
Aman Preet Singh
Copy Editors
Gladson Monteiro
Kirti Pai
Mradula Heg...
Table of contents
- KNIME Essentials