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)

Basic KNIME views


The main views of KNIME give you multiple options to explore data. These nodes do not provide options to generate images for further nodes, but they give quite a good overview about the data, and you can save the files using the File menu.

There are different flavors for some of the nodes: the interactive and the normal. With the interactive flavor, you can modify certain parameters of the view without reconfiguring (and executing) the view. The interactive versions are better suited for data exploration, but the normal ones make it easier to check certain things with new data.

The Box plots

The Box Plot node has no configuration, but gives robust statistics (minimum, smallest, lower quartile, median, largest, and maximum) for numeric columns. You might wonder about the difference between the minimum and the smallest values or the largest and maximum values. The smallest is the maximum of the minimal value and the value. The largest is computed analogously.

The view gives...