book

KNIME Essentials

by Gábor Bakos

October 2013

Beginner

148 pages

3h 38m

English

Packt Publishing

Read now

Unlock full access

Support files, eBooks, discount offers and moreWhy Subscribe?Free Access for Packt account holders
What this book covers

Downloading the example codeErrataPiracyQuestions
Few words about KNIME
Installation using the archiveKNIME for WindowsKNIME for LinuxKNIME for Mac OS XTroubleshooting
Organizing your workNodesNode lifecycleMeta nodesPortsData tablesPort viewFlow variablesNode viewsHiLiteEclipse conceptsPreferencesLogging
Getting startedSetting preferencesKNIMEOther preferencesInstalling extensionsWorkbenchWorkflow handlingNode controlsHiLiteVariable flowsMeta nodesWorkflow lifecycleOther views
Importing dataImporting data from a databaseStarting Java DBImporting data from tabular filesImporting data from web servicesREST servicesImporting XML filesImporting modelsOther formatsPublic data sources
Basic syntaxPartial versus whole matchUsage from JavaReferences and toolsAlternative pattern description
Filtering rowsSamplingAppending tablesLess columnsDimension reductionMore columnsGroupByPivoting and UnpivotingOne2Many and Many2OneCosmetic transformationsRenamesChanging the column orderReordering the rowsThe row IDTranspose
Generic transformationsJava snippetsThe Math Formula nodeConversion between typesBinningNormalizationText normalizationRegular expressionsMultiple columnsXML transformationTime transformationSmoothing
Generating the grid
Computing statistics
ColorSizeShape
HiLiteUse cases for HiLiteRow IDsExtreme values
The Box plotsHierarchical clusteringHistogramsInteractive TableThe Lift chartLinesPie chartsThe Scatter plotsSpark Line AppenderRadar Plot AppenderThe Scorer views
The Bar chartsThe Bubble chartHeatmapThe Histogram chartThe Interval chartThe Line chartThe Pie chartThe Scatter plot
The R plot, Python plot, and Matlab plotThe official R plotsThe RapidMiner viewThe HiTS visualization
Using Interactive HiLite CollectorFinding connections
Further ideas
Installation of the reporting extensions
Sending data and images to a reportImporting from other sourcesJoining data sets
In visible viewsReport propertiesReport itemsLabelTextBindingDynamic textDataImageGridListGroupsSortingFiltersTableChartCross TabSetting upChangingUsing data cubesQuick ToolsAggregationRelative time period

Overview

KNIME Essentials is a comprehensive guide to mastering KNIME, an open-source data analytics platform. Through this book, you'll discover how to process, visualize, and report on data effectively. Whether you're new to KNIME or data analytics in general, this resource is designed to equip you with the skills needed to handle data challenges confidently.

What this Book will help me do

Understand how to install and set up KNIME for data analysis tasks.
Learn to create workflows to efficiently process data.
Explore methods for importing and pre-processing data from various sources.
Master techniques for visualizing and analyzing processed data.
Generate professional-grade reports based on your data visualizations.

Author(s)

Gábor Bakos, the author of KNIME Essentials, leverages his expertise in data analytics and software tools to provide readers with a practical guide to mastering KNIME. With years of experience in working with analytics platforms, he crafts content that is accessible and focused on delivering real-world results. His user-focused approach helps readers quickly grasp complex concepts.

Who is it for?

This book is ideal for data analysts and professionals seeking to enhance their data processing skills with KNIME. No prior knowledge of KNIME is expected, but a foundational understanding of data analytics concepts would be beneficial. If you're looking to produce insightful analytics and reports efficiently, this guide is tailored for you.