Excel & KNIME
Author: Baharan Ghiasvand
Excel has long been the go-to tool for many individuals and businesses to analyze and manipulate data. However, despite their usefulness, spreadsheet users often face significant challenges when it comes to data analytics, including handling large datasets, working with raw and unstructured data, and supporting extensive data cleaning operations. Additionally, Excel does not provide built-in options for automating data analysis tasks, which can lead to increased manual work.
By using KNIME Analytics Platform as an alternative to Excel, you can overcome these limitations and enhance your data analysis process. KNIME allows you to work with Excel files and many other data sources without limitations, simplifies workflow documentations - which aids in debugging your data processing pipeline - and enables automation and productionization of data processes, reducing the need for manual work.
This book is written for Excel users who want to expand their skills in data analytics and automation by learning how to use KNIME Analytics Platform. We begin with a short introduction to the KNIME Analytics Platform interface, then move step by step through data access, export, manipulation, and visualization, drawing parallels to common Excel functions along the way. In addition, we also introduce more advanced KNIME features such as workflow control and automation.
By using KNIME Analytics Platform as an alternative to Excel, you can overcome these limitations and enhance your data analysis process. KNIME allows you to work with Excel files and many other data sources without limitations, simplifies workflow documentations - which aids in debugging your data processing pipeline - and enables automation and productionization of data processes, reducing the need for manual work.
This book is written for Excel users who want to expand their skills in data analytics and automation by learning how to use KNIME Analytics Platform. We begin with a short introduction to the KNIME Analytics Platform interface, then move step by step through data access, export, manipulation, and visualization, drawing parallels to common Excel functions along the way. In addition, we also introduce more advanced KNIME features such as workflow control and automation.