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)

Reporting concepts


In this section, we will introduce the main concepts related to reports.

First of all, what is a report? It is a formatted document. It can include figures, text, and tables, possibly in a highly customized way.

The report is generated from a report design and some data. The report design is created from a template; it consists of a layout and a master page. The master page and the layout are similar in function; however, the master page is only for the header and footer of the pages, and the layout provides the main/body content.

The data can be from various data sources, for example, cubes, databases, and others; for now, we are focusing on KNIME data that is imported using the special nodes. The data imported is named a data set.

The data cube is a multidimensional data set, which can be used to summarize other data sets. You can think of it as a more processed, derived data set.

The reports can have report parameters and report variables, which can be further processed...