Data Visualization in KNIME

Übersicht

Learn the basic elements of data visualization using KNIME. Create a variety of widely used plots and charts, emphasizing simplicity, clarity, and the wise use of color.

You will understand how to effectively represent data distributions, proportions, and relationships, ensuring each visualization is clear and accurately scaled.

Lehrplan

• Data Visualization
You will uncover the power of data visualization as a tool to explore and explain data and start visualizing data about your company's CO2 emissions. You will be able to analyze patterns and communicate insights precisely and clearly using tools like bar charts, pie charts, and histograms.
• One Plot for Each Task
In this chapter, you will learn a few widely used plots and charts and the basic principles of data visualization: simplicity, clarity, and the wise use of color. You’ll also explore how to represent data distributions, proportions, and relationships with tools like histograms while applying best practices like proper labeling and accurate scaling.
• Advanced Plots and Preprocessing
In this chapter, you will focus on more advanced data, particularly time series, and learn how to effectively plot it. You’ll also explore advanced visualizations like geospatial charts while learning preprocessing strategies to handle complex datasets. These techniques will help you uncover detailed patterns and present your data compelling and insightfully.
• Dashboards and Reports
In the final chapter, you wrap it up literally: you will use components to group visualizations into a composite view, generate an interactive dashboard, and create a PDF report to showcase your findings. Following best practices, you will ensure your visualizations are tailored to your audience and effectively guide their attention.

---

Unterrichtet von

Emilio Silvestri

---

Fachgebiete

Data Science