Wat je moet weten voordat je
begint
Start 4 June 2026 02:32
Einde 4 June 2026
00
Dagen
00
Uren
00
Minuten
00
Seconden
2 hours
Optionele upgrade beschikbaar
Gemiddeld
Ga in je eigen tempo vooruit
Free Trial Available
Optionele upgrade beschikbaar
Overzicht
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.
Lesprogramma
- Data Visualization
- One Plot for Each Task
- Advanced Plots and Preprocessing
- Dashboards and Reports
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.
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.
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.
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.
Gegeven door
Emilio Silvestri
Vakgebieden
Data Science