KNIME Essentials

Perform accurate data analysis using the power of KNIME
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KNIME Essentials

Gábor Bakos

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Perform accurate data analysis using the power of KNIME
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Book Details

ISBN 139781849699211
Paperback148 pages

Book Description

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.

Table of Contents

Chapter 1: Installing and Using KNIME
Few words about KNIME
Installing KNIME
KNIME terminologies
User interface
Summary
Chapter 2: Data Preprocessing
Importing data
Regular expressions
Transforming the shape
Transforming values
Data generation
Constraints
Loops
Workflow customization
Case study – finding min-max in the next n rows
Case study – ranks within groups
Summary
Chapter 3: Data Exploration
Computing statistics
Overview of visualizations
Visual guide for the views
Distance matrix
Using visual properties
KNIME views
Basic KNIME views
JFreeChart
Open Street Map
3D Scatterplot
Other visualization nodes
Tips for HiLiting
Visualizing models
Summary
Chapter 4: Reporting
Installation of the reporting extensions
Reporting concepts
Importing data
Preferences
Using the designer
Generating reports
Using colors
Using HiLite
Using workflow variables
Suggested readings
Summary

What You Will Learn

  • Install and configure KNIME
  • Create KNIME workflows and report templates
  • Import data to KNIME
  • Transform data with KNIME workflows
  • Enhance your data with data from other sources
  • Visualize data using KNIME
  • Generate reports from your data

Authors

Table of Contents

Chapter 1: Installing and Using KNIME
Few words about KNIME
Installing KNIME
KNIME terminologies
User interface
Summary
Chapter 2: Data Preprocessing
Importing data
Regular expressions
Transforming the shape
Transforming values
Data generation
Constraints
Loops
Workflow customization
Case study – finding min-max in the next n rows
Case study – ranks within groups
Summary
Chapter 3: Data Exploration
Computing statistics
Overview of visualizations
Visual guide for the views
Distance matrix
Using visual properties
KNIME views
Basic KNIME views
JFreeChart
Open Street Map
3D Scatterplot
Other visualization nodes
Tips for HiLiting
Visualizing models
Summary
Chapter 4: Reporting
Installation of the reporting extensions
Reporting concepts
Importing data
Preferences
Using the designer
Generating reports
Using colors
Using HiLite
Using workflow variables
Suggested readings
Summary

Book Details

ISBN 139781849699211
Paperback148 pages
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