Data Analysis

ClimateKG data analysis combines several methods and tools: SPARQL queries for graph patterns, APIs for structured retrieval, Jupyter Notebooks for exploration and reproducible workflows, Quarto for publishing analysis outputs, and Plotly for interactive visualisation.

At the moment, data analysis in this project mainly demonstrates the syntactic, bibliographic Linked Open Data (LOD) foundation of ClimateKG, including the document structure and its connected metadata.

ClimateKG is open to contributions. If you want to add analyses, methods, or data improvements, please see the Get Involved section.

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title: "Data Analysis"
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ClimateKG data analysis combines several methods and tools: SPARQL queries for
graph patterns, APIs for structured retrieval, Jupyter Notebooks for
exploration and reproducible workflows, Quarto for publishing analysis outputs,
and Plotly for interactive visualisation.

At the moment, data analysis in this project mainly demonstrates the syntactic,
bibliographic Linked Open Data (LOD) foundation of ClimateKG, including the
document structure and its connected metadata.

ClimateKG is open to contributions. If you want to add analyses, methods, or
data improvements, please see the [Get Involved](get-involved.qmd) section.