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Challenge 29 - Berlin Christmas Markets

DataAppGeospatial AnalyticsJustknimeitJKISeason3-29
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VersionSolution posted on 12/10Latest, created on 
Dec 10, 2024 3:06 PM
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Challenge 29: Berlin Christmas Markets

Level: Medium

Description: Christmas is right on the corner, and many of those who celebrate it are currently looking for souvenirs and gifts for their loved ones. To facilitate their search, let’s create a data app that allows people to find nearby Christmas markets given an address and a maximum distance. Data app users should be able to visualize the locations, along with their distances from the given address. In our example, we focus on the Berlin Christmas markets of 2023, but feel free to experiment with other geospatial datasets that have information on Christmas markets. Hint: Since the dataset is in German, you can use the Translator component from KNIME Community Hub to translate the addresses.

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Used extensions & nodes

Created with KNIME Analytics Platform version 5.4.0
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    Geospatial Analytics Extension for KNIMETrusted extension

    SDL, Harvard, Cambridge US

    Version 1.3.0

    Center for Geographic Analysis at Harvard University
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.4.0

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    knime
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    KNIME Column Expressions (legacy)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.4.0

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    knime
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    KNIME Excel SupportTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.3.3

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    knime
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    KNIME JavasnippetTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.4.0

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    knime
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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.4.0

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    KNIME REST Client ExtensionTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.4.0

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    knime
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    KNIME ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.4.0

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    KNIME XML-ProcessingTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.4.0

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    knime
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    Vernalis KNIME NodesTrusted extension

    Vernalis Research Ltd, Cambridge, UK

    Version 1.36.7

    vernalis

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