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01 Visualization

Exercise for visualizing data.

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.

Exercise: VisualizationRead the JoinedCountryTable.table file by executing the Table Reader node. This table contains information about thedemographics, 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 in the data? 174 unique countries/territoriesAre all risk categories equally presented in the data? no, risk I has the highest frequencyWhat is the maximum pace at which a population increases in a country? 0.0462.1) Draw a scatter plot that shows the relationship between latitude and overall life expectancy. Can you see any relationshipbetween these two columns? no, a correlation is difficult to determine.2.2) Color the data by UN continental region. Which continents are represented in the top left corner of the scatter plot, i.e.countries in the southern hemisphere with a high life expectancy? Americas and Oceania2.3) 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's interactive view. Switch tomouse mode Select in the scatter plot view, and select the points in the top left corner. Select Show selected rows only in theTable View. Which five countries in the southern hemisphere have a very high life expectation? Argentina, Australia, Chile, NewZealand, and Uruguay JoinedCountryData.tableExplore JoinedCountry.tableColored byUN continental region Table Reader Data Explorer Color Manager Component Exercise: VisualizationRead the JoinedCountryTable.table file by executing the Table Reader node. This table contains information about thedemographics, 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 in the data? 174 unique countries/territoriesAre all risk categories equally presented in the data? no, risk I has the highest frequencyWhat is the maximum pace at which a population increases in a country? 0.0462.1) Draw a scatter plot that shows the relationship between latitude and overall life expectancy. Can you see any relationshipbetween these two columns? no, a correlation is difficult to determine.2.2) Color the data by UN continental region. Which continents are represented in the top left corner of the scatter plot, i.e.countries in the southern hemisphere with a high life expectancy? Americas and Oceania2.3) 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's interactive view. Switch tomouse mode Select in the scatter plot view, and select the points in the top left corner. Select Show selected rows only in theTable View. Which five countries in the southern hemisphere have a very high life expectation? Argentina, Australia, Chile, NewZealand, and Uruguay JoinedCountryData.tableExplore JoinedCountry.tableColored byUN continental regionTable Reader Data Explorer Color Manager Component

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

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Created by: Maarit Laukkanen
Created at: 2020-10-23
On NodePit since: 2023-04-14
Last update: 2024-05-01
Created with KNIME version: v4.5.1
Tags: scatter plottable viewdata explorerdashboard

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