Icon

01 Visualization - Solution

Solution to an exercise for data visualization.

Visualize data in a scatter plot, explore columns with the Data Explorer node, and explore rows in an interactive Table View. Build an interactive dashboard with two or more views.

CHECK YOUR ANSWERS:

Data Explorer:
1. 174 countries/territories are represented in the data.
2. Most countries/territories belong to the travel risk categories 1 (exercise normal precautions) and 2 (exercise increased caution). Only a few countries belong to the categories 3 (reconsider travel) and 4 (do not travel).
3. The maximum pace at which a population increases in a country/territory is 4.6%.

Scatter Plot and Table View
1. Latitude and life expectancy have a positive correlation in the data.
2. The countries with a very high life expectancy in the southern hemisphere are located in Oceania or Americas.

Interactive Dashboard
The countries in the southern hemisphere with a very high life expectation are Argentina, Australia, Chile, New Zealand, and Uruguay.

Exercise: VisualizationRead the JoinedCountryTable.table file by executing the Table Reader node. This table containsinformation about the demographics, geolocation, and travel risks in the different countries/territories in 2020.1) Explore the data with the Data Explorer node. How many countries/territories are represented inthe data? Are all risk categories equally presented in the data? What is the maximum pace atwhich a population increases in a country?2.1) Draw a scatter plot that shows the relationship between latitude and overall life expectancy.Can you see any relationship between these two columns?2.2) Color the data by UN continental region. Which continents are represented in the top leftcorner of the scatter plot, i.e. countries in the southern hemisphere with a high life expectancy?2.3) Create an interactive view that displays the data. Use the Table View node.2.4) Encapsulate the Scatter Plot and Table View nodes into a component. Open the component'sinteractive view. Switch to mouse mode Select in the scatter plot view, and select the points in thetop left corner. Select Show selected rows only in the Table View. Which five countries in thesouthern hemisphere have a very high life expectation? JoinedCountryData.tableColor by continentExplore columns Table Reader Color Manager Data Explorer Component Exercise: VisualizationRead the JoinedCountryTable.table file by executing the Table Reader node. This table containsinformation about the demographics, geolocation, and travel risks in the different countries/territories in 2020.1) Explore the data with the Data Explorer node. How many countries/territories are represented inthe data? Are all risk categories equally presented in the data? What is the maximum pace atwhich a population increases in a country?2.1) Draw a scatter plot that shows the relationship between latitude and overall life expectancy.Can you see any relationship between these two columns?2.2) Color the data by UN continental region. Which continents are represented in the top leftcorner of the scatter plot, i.e. countries in the southern hemisphere with a high life expectancy?2.3) Create an interactive view that displays the data. Use the Table View node.2.4) Encapsulate the Scatter Plot and Table View nodes into a component. Open the component'sinteractive view. Switch to mouse mode Select in the scatter plot view, and select the points in thetop left corner. Select Show selected rows only in the Table View. Which five countries in thesouthern hemisphere have a very high life expectation? JoinedCountryData.tableColor by continentExplore columnsTable Reader Color Manager Data Explorer Component

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: Maarit Laukkanen
Created at: 2020-10-23
On NodePit since: 2023-09-25
Last update: 2024-05-01
Created with KNIME version: v4.4.0
Tags: scatter plottable viewdata explorerdashboard

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!