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)

Other visualization nodes


There are many options to show data, and you really do not have to limit yourself with those which are bundled with KNIME. In the community contributions (http://tech.knime.org/community), there are many options available. We will cherry-pick some of the more general and interesting visualization nodes.

The R plot, Python plot, and Matlab plot

The R plot, Python plot, and Matlab plot are available from the corresponding scripting extensions (the KNIME R Scripting extension, KNIME Python Scripting extension, and KNIME Matlab Scripting extension) on the community nodes update site.

The usage of these nodes do not require experience in the corresponding programming languages. There are templates from which you can choose and the parameters can be adjusted using KNIME controls. Obviously, you can create your own templates or fine-tune existing ones if you are not satisfied.

You need to have access to (possibly local) servers to connect to the extensions. (The Python Plot...