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header.json
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139 lines (139 loc) · 4.77 KB
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[
{
"id": "tools",
"label": "Tools",
"ariaLabel": "Show exploration tools",
"introduction": {
"description": "Explore a variety of tools to visualize, analyze, and interact with the Data Commons knowledge graph and its extensive datasets"
},
"primarySectionGroups": [
{
"id": "tools-0",
"items": [
{
"title": "Knowledge Graph",
"url": "{browser.browser_main}",
"description": "Explore what data is available and understand the graph structure"
},
{
"title": "Statistical Variable Explorer",
"url": "{tools.stat_var}",
"description": "Explore statistical variable details including metadata and observations"
},
{
"title": "Data Download Tool",
"url": "{tools.download}",
"description": "Download data for selected statistical variables"
}
]
},
{
"id": "tools-1",
"items": [
{
"title": "Map Explorer",
"url": "{tools.visualization}#visType=map",
"description": "Study how a selected statistical variable can vary across geographic regions"
},
{
"title": "Scatter Plot Explorer",
"url": "{tools.visualization}#visType=scatter",
"description": "Visualize the correlation between two statistical variables"
},
{
"title": "Timelines Explorer",
"url": "{tools.visualization}#visType=timeline",
"description": "See trends over time for selected statistical variables"
}
]
}
]
},
{
"id": "docs",
"label": "Documentation",
"ariaLabel": "Show documentation links",
"introduction": {
"description": "Access in-depth tutorials, guides, and API references to unlock the full potential of Data Commons and integrate it into your projects"
},
"primarySectionGroups": [
{
"id": "docs-0",
"items": [
{
"title": "Docs",
"url": "https://docs.datacommons.org",
"description": "Learn how to access and visualize Data Commons data: docs for the website, APIs, and more, for all users and needs"
},
{
"title": "API",
"url": "https://docs.datacommons.org/api",
"description": "Access Data Commons data programmatically, using REST and Python APIs"
}
]
},
{
"id": "docs-1",
"items": [
{
"title": "Tutorials",
"url": "https://docs.datacommons.org/tutorials",
"description": "Get familiar with the Data Commons Knowledge Graph and APIs using analysis examples in Google Colab notebooks written in Python"
},
{
"title": "Contributions",
"url": "https://docs.datacommons.org/contributing/",
"description": "Become part of Data Commons by contributing data, tools, educational materials, or sharing your analysis and insights. Collaborate and help expand the Data Commons Knowledge Graph"
}
]
}
]
},
{
"id": "about",
"label": "About",
"ariaLabel": "Show about links",
"introduction": {
"description": "Data Commons is an initiative from Google. Explore diverse data, learn to use its tools through Python examples, and stay updated on the latest news and research"
},
"primarySectionGroups": [
{
"id": "about-0",
"items": [
{
"title": "Why Data Commons",
"url": "{static.about}",
"description": "Discover why Data Commons is revolutionizing data access and analysis. Learn how its unified Knowledge Graph empowers you to explore diverse, standardized data"
},
{
"title": "Data Sources",
"url": "{static.data}",
"description": "Get familiar with the data available in Data Commons"
}
]
},
{
"id": "about-1",
"items": [
{
"title": "FAQ",
"url": "{static.faq}",
"description": "Find quick answers to common questions about Data Commons, its usage, data sources, and available resources"
},
{
"title": "Blog",
"url": "https://blog.datacommons.org/",
"description": "Stay up-to-date with the latest news, updates, and insights from the Data Commons team. Explore new features, research, and educational content related to the project"
}
]
}
]
},
{
"id": "feedback",
"label": "Feedback",
"ariaLabel": "Give feedback",
"url": "{feedback-prefill}",
"exposeInMobileBanner": true
}
]