Data Visualization in KNIME
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Choose and build clear charts in KNIME, plot time series and geospatial data, and combine views into an interactive dashboard and PDF report.
You learn to choose and draw charts in KNIME so viewers read them correctly, working on a company’s CO2 emissions data. You match plots to tasks such as showing distributions, proportions and relationships, and keep each one simple, clear and careful with color. You then handle time series and geospatial views, and gather the results into an interactive dashboard and a PDF report.
What You Will Achieve
- Pick a bar chart, pie chart or histogram that fits the question you are asking of the data
- Prepare a dataset in KNIME, then label and scale a plot so it reads accurately
- Plot emissions over time with line plots and combine several views into one composite visualization
- Build an interactive dashboard from grouped components and export your findings as a PDF report
Program Overview
Visualization Goals and Basic Charts
Why charts help explore and explain data, first plots in KNIME on CO2 emissions, and principles for matching a chart to its task.
- Goals of data visualization
- Bar charts, pie charts and histograms
- Distributions, proportions and relations
- Simplicity, clarity and color
Time Series and Advanced Plots
More complex data, with preprocessing strategies, geospatial charts and time series drawn as line plots and composite views.
- Preprocessing complex datasets
- Geospatial charts
- Time series line plots
- Composite visualizations
Dashboards and Reports
Grouping visualizations with components into views that guide an audience’s attention, shared interactively or as a document.
- Components and composite views
- Interactive dashboards in KNIME
- Text and layout
- PDF reports tailored to an audience
Certificate Awarded (Paid)
Complete the course to earn it.
Job Outlook
Charting and reporting skills like these are used in business intelligence and analytics work, wherever data has to be shown to colleagues or clients through dashboards and reports.
Good for: KNIME users who want to turn workflow results into clear charts, interactive dashboards and PDF reports for colleagues.
Keep in mind: The exercises follow one company’s CO2 emissions data, including commute modes and emissions over time, so each chart type is practiced on that single case.
Bottom line: A KNIME-specific path through chart choice, time series and reporting, practiced on a company’s CO2 emissions data.
Frequently Asked Questions
Which dataset runs through the exercises?
The exercises use a company's CO2 emissions data. You look at commute modes, find which sources pollute the most, and later plot how emissions change over time.
Are geospatial charts part of the course?
Yes. The chapter on advanced plots introduces geospatial charts alongside time series and composite visualizations, together with preprocessing strategies for handling more complex datasets.
What do I build in the final chapter?
You use components to group visualizations into a composite view, turn it into an interactive dashboard, work on text and layout, and produce a PDF report suited to its audience.
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