Book Image

KNIME Essentials

By : Gábor Bakos
Book Image

KNIME Essentials

By: Gábor Bakos

Overview of this book

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 (11 chapters)

Overview of visualizations


The various options to visualize data in KNIME allow you to get an overview or even publication-quality figures from the data you have preprocessed and analyzed.

The interactive versions of a node allow you to change the column selections and probably the other extra options.

The JFreeChart nodes generate images from the input data, which is also available as a view with further customization options. These nodes usually do not support the HiLite feature and the different visual properties (color, size, and shape).

First, to help decide what you use to open the data, we will compare the capabilities of the different visualization nodes:

Node

Supported data types

Remarks

Box Plot

Numeric (multiple)

Provides robust stats

Conditional Box Plot

Nominal and numeric (multiple)

Also gives robust stats

Histogram

Nominal or numeric and numeric

 

Histogram (interactive)

Nominal or numeric and numeric

 

Interactive Table

Any

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