From the Olympics data folder, we have created three table inputs with different levels of granularity.
Data came from the "Olympic Historical Dataset From Olympedia.org", CC license, which you can download it at the following link: https://www.kaggle.com/datasets/josephcheng123456/olympic-historical-dataset-from-olympediaorg.
The dashboard contains four charts: Bar Chart, Pie Chart, Histogram and Table View from the KNIME Views (Labs) extension.
Wrapping all of them in a component allows us to display an interactive dashboard on your Local Machine or Execute it in the KNIME Business Hub.
Each chart is interactive, and selecting an item filters it in the following visualization.
This way, it is possible to deep dive into the data: from the total of Medals won by a single country to the swimming athlete data that won a medal in the 2000 Summer Olympic edition.
We have heavily used the Publish and Subscription options within the KNIME Views configuration. Then a mechanism is repeated as a pattern: using the Hilite splitter node to pass selected data and the Reference Row Filter node to Filter the chosen for the consequent View.
This workflow can inspire you to build another meaningful and clean dashboard with your own data.
Data came from the "Olympic Historical Dataset From Olympedia.org", CC license, which you can download it at the following link: https://www.kaggle.com/datasets/josephcheng123456/olympic-historical-dataset-from-olympediaorg.
The dashboard contains four charts: Bar Chart, Pie Chart, Histogram and Table View from the KNIME Views (Labs) extension.
Wrapping all of them in a component allows us to display an interactive dashboard on your Local Machine or Execute it in the KNIME Business Hub.
Each chart is interactive, and selecting an item filters it in the following visualization.
This way, it is possible to deep dive into the data: from the total of Medals won by a single country to the swimming athlete data that won a medal in the 2000 Summer Olympic edition.
We have heavily used the Publish and Subscription options within the KNIME Views configuration. Then a mechanism is repeated as a pattern: using the Hilite splitter node to pass selected data and the Reference Row Filter node to Filter the chosen for the consequent View.
This workflow can inspire you to build another meaningful and clean dashboard with your own data.