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examples.json
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{
"main": {
"title": "Introduction",
"file": "introduction.md"
},
"categories": [
{
"title": "Basic Use Cases",
"desc": "Check basic use cases in CARTOframes",
"hide_sidebar_samples": true,
"samples": [
{
"title": "Geocode London stations",
"desc": "Geocode a dataset in XLS format",
"file": "geocoding_london_stations",
"path": "use_cases"
},
{
"title": "Visualize temperatures",
"desc": "Learn how to use the timeseries widget to visualize temperatures",
"file": "visualize_temperatures",
"path": "use_cases"
},
{
"title": "Paris WiFi services",
"desc": "Download and visualize WiFi Services data in JSON format",
"file": "paris_wifi_services",
"path": "use_cases"
},
{
"title": "Paris remarkable trees",
"desc": "Transform and visualize data from a JSON file",
"file": "paris_remarkable_trees",
"path": "use_cases"
}
]
},
{
"title": "Advanced Use Cases",
"desc": "Learn to solve real-world use cases in CARTOframes with these examples created by our Spatial Data Scientists",
"hide_sidebar_samples": true,
"samples": [
{
"title": "Building a dashboard to create a marketing plan",
"desc": "Learn how to build a dashboard to plan a marketing campaign leveraging CARTO's Data Observatory",
"file": "building_a_dashboard",
"path": "advanced_use_cases"
},
{
"title": "Combining multiple datasets to understand retail performance",
"desc": "Learn how to use geosocial and financial data to understand retail performance",
"file": "combining_two_datasets",
"path": "advanced_use_cases"
},
{
"title": "Revenue prediction for site selection",
"desc": "Learn how to incorporate CARTOframes data services and enrichment capabilities into your modeling workflows",
"file": "revenue_prediction",
"path": "advanced_use_cases"
},
{
"title": "Single-layer Territory Management",
"desc": "Learn how to use advanced spatial data science techniques on Data Observatory data to optimize sales territories",
"file": "territory_management_1layer",
"path": "advanced_use_cases"
},
{
"title": "Two-layer Territory Management",
"desc": "Learn how to use advanced spatial data science techniques on Data Observatory data to optimize sales territories",
"file": "territory_management_2layers",
"path": "advanced_use_cases"
}
]
},
{
"title": "Data Management",
"desc": "Explore working with data both locally and using a CARTO account",
"hide_sidebar_samples": true,
"samples": [
{
"title": "Read a GeoJSON file",
"desc": "Read data from a GeoJSON file",
"file": "read_geojson",
"path": "data_management"
},
{
"title": "Read a Shapefile",
"desc": "Read data from a Shapefile",
"file": "read_shapefile",
"path": "data_management"
},
{
"title": "Read a CSV file",
"desc": "Read data from a CSV file",
"file": "read_csv",
"path": "data_management"
},
{
"title": "Read a JSON file",
"desc": "Read data from a JSON file",
"file": "read_json",
"path": "data_management"
},
{
"title": "Read a CARTO table",
"desc": "Read data from a CARTO table",
"file": "read_carto_table",
"path": "data_management"
},
{
"title": "Read a CARTO SQL query",
"desc": "Read data from a CARTO table using a SQL Query",
"file": "read_carto_query",
"path": "data_management"
},
{
"title": "Upload to CARTO",
"desc": "Upload data to CARTO",
"file": "upload_to_carto",
"path": "data_management"
},
{
"title": "Change CARTO table privacy",
"desc": "Change the privacy of a CARTO table",
"file": "change_carto_table_privacy",
"path": "data_management"
}
]
},
{
"title": "Data Visualization",
"desc": "Explore the building blocks for creating web-based, dynamic, and interactive map visualizations",
"hide_sidebar_samples": true,
"samples": [
{
"title": "Single layer",
"desc": "Add a Layer",
"file": "add_layer",
"path": "data_visualization/layers",
"group": "Layers"
},
{
"title": "Multiple layers",
"desc": "Add multiple Layers",
"file": "add_multiple_layers",
"path": "data_visualization/layers",
"group": "Layers"
},
{
"title": "Basemaps",
"desc": "Change the default CARTO basemap",
"file": "change_default_carto_basemap",
"path": "data_visualization/map_configuration",
"group": "Map configuration"
},
{
"title": "Viewport",
"desc": "Set a custom viewport",
"file": "custom_viewport",
"path": "data_visualization/map_configuration",
"group": "Map configuration"
},
{
"title": " Background",
"desc": "Set a background color",
"file": "solid_color_background",
"path": "data_visualization/map_configuration",
"group": "Map configuration"
},
{
"title": "Dark theme",
"desc": "Switch to the dark theme",
"file": "dark_theme",
"path": "data_visualization/map_configuration",
"group": "Map configuration"
},
{
"title": "Basic style",
"desc": "Use the basic_style method to change the basic style properties",
"file": "basic_style",
"path": "data_visualization/styles",
"group": "Data-driven styling"
},
{
"title": "Color category style",
"desc": "Use the color_category_style method to color features by categorical values",
"file": "color_category_style",
"path": "data_visualization/styles",
"group": "Data-driven styling"
},
{
"title": "Color continuous style",
"desc": "Use the color_continuous_style method to color features by continuous numeric values",
"file": "color_continuous_style",
"path": "data_visualization/styles",
"group": "Data-driven styling"
},
{
"title": "Color bins style",
"desc": "Use the color_bins_style method to color features by discrete numeric values",
"file": "color_bins_style",
"path": "data_visualization/styles",
"group": "Data-driven styling"
},
{
"title": "Size category style",
"desc": "Use the size_category_style method to resize each feature by categorical values",
"file": "size_category_style",
"path": "data_visualization/styles",
"group": "Data-driven styling"
},
{
"title": "Size continuous style",
"desc": "Use the size_continuous_style method to resize each feature by continuous numeric values",
"file": "size_continuous_style",
"path": "data_visualization/styles",
"group": "Data-driven styling"
},
{
"title": "Size bins style",
"desc": "Use the size_bins_style method to resize each feature by discrete numeric values",
"file": "size_bins_style",
"path": "data_visualization/styles",
"group": "Data-driven styling"
},
{
"title": "Cluster size style",
"desc": "Use the cluster_size_style method to aggregate features by continuous numeric values",
"file": "cluster_size_style",
"path": "data_visualization/styles",
"group": "Data-driven styling"
},
{
"title": "Animation style",
"desc": "Use the animation_style helper method to simply animate a visualization",
"file": "animation_style",
"path": "data_visualization/styles",
"group": "Data-driven styling"
},
{
"title": "Add multiple style helpers",
"desc": "Combine different visualization styles",
"file": "combine_visualization_styles",
"path": "data_visualization/styles",
"group": "Data-driven styling"
},
{
"title": "Default legend",
"desc": "Set the default legend needed for the style helper",
"file": "default_legend",
"path": "data_visualization/legends",
"group": "Legends"
},
{
"title": "Basic legend",
"desc": "Use the basic_legend method to display a simple default legend",
"file": "basic_legend",
"path": "data_visualization/legends",
"group": "Legends"
},
{
"title": "Color category legend",
"desc": "Use the color_category_legend method to represent categorical values by color",
"file": "color_category_legend",
"path": "data_visualization/legends",
"group": "Legends"
},
{
"title": "Color bins legend",
"desc": "Use the color_bins_legend method to represent discrete numeric values by color",
"file": "color_bins_legend",
"path": "data_visualization/legends",
"group": "Legends"
},
{
"title": "Color continuous legend",
"desc": "Use the color_continuous_legend method to represent continuous numeric values by color",
"file": "color_continuous_legend",
"path": "data_visualization/legends",
"group": "Legends"
},
{
"title": "Size category legend",
"desc": "Use the size_category_legend method to represent categorical values by size",
"file": "size_category_legend",
"path": "data_visualization/legends",
"group": "Legends"
},
{
"title": "Size bins legend",
"desc": "Use the size_bins_legend method to represent discrete numeric values by size",
"file": "size_bins_legend",
"path": "data_visualization/legends",
"group": "Legends"
},
{
"title": "Size continuous legend",
"desc": "Use the size_bins_legend method to represent continuous numeric values by size",
"file": "size_continuous_legend",
"path": "data_visualization/legends",
"group": "Legends"
},
{
"title": "Add multiple legends",
"desc": "Combine different legends in the same visualization",
"file": "multiple_legends",
"path": "data_visualization/legends",
"group": "Legends"
},
{
"title": "Default widget",
"desc": "Set the default widget needed for the style helper",
"file": "default_widget",
"path": "data_visualization/widgets",
"group": "Interactive widgets"
},
{
"title": "Basic widget",
"desc": "Use the basic_widget method to display a simple default widget",
"file": "basic_widget",
"path": "data_visualization/widgets",
"group": "Interactive widgets"
},
{
"title": "Category widget",
"desc": "Use the category_widget to create a widget to represent categorical values",
"file": "category_widget",
"path": "data_visualization/widgets",
"group": "Interactive widgets"
},
{
"title": "Histogram widget",
"desc": "Use the histogram_widget to create a widget to represent categorical, numeric and date values in a histogram",
"file": "histogram_widget",
"path": "data_visualization/widgets",
"group": "Interactive widgets"
},
{
"title": "Formula widget",
"desc": "Use the formula_widget to display the result of a count, avg, max, min or sum operation in a numeric",
"file": "formula_widget",
"path": "data_visualization/widgets",
"group": "Interactive widgets"
},
{
"title": "Animation widget",
"desc": "Use the animation_widget to be able to play, pause and change an animated visualization through animation controls",
"file": "animation_widget",
"path": "data_visualization/widgets",
"group": "Interactive widgets"
},
{
"title": "Time series widget",
"desc": "Use the time_series_widget to represent a sequence of categorical, numeric and date values in a histogram indexed by a numeric or date value",
"file": "time_series_widget",
"path": "data_visualization/widgets",
"group": "Interactive widgets"
},
{
"title": "Add multiple widgets",
"desc": "Combine multiple widgets in the same visualization",
"file": "multiple_widgets",
"path": "data_visualization/widgets",
"group": "Interactive widgets"
},
{
"title": "Default popup",
"desc": "Set the default popup needed for the style helper",
"file": "default_popup",
"path": "data_visualization/popups",
"group": "Click and hover popups"
},
{
"title": "Popup on click",
"desc": "Display a popup triggered by a click event",
"file": "popup_on_click",
"path": "data_visualization/popups",
"group": "Click and hover popups"
},
{
"title": "Popup on hover",
"desc": "Display a popup triggered by a hover event",
"file": "popup_on_hover",
"path": "data_visualization/popups",
"group": "Click and hover popups"
},
{
"title": "Customize popup title and format",
"desc": "Change the title and format for the popup values",
"file": "popup_titles_and_format",
"path": "data_visualization/popups",
"group": "Click and hover popups"
},
{
"title": "Add multiple popup elements",
"desc": "Display popups triggered by both click and hover events",
"file": "multiple_popup_events",
"path": "data_visualization/popups",
"group": "Click and hover popups"
},
{
"title": "Default layout",
"desc": "Create a default visualization layout",
"file": "default_layout",
"path": "data_visualization/grid_layout",
"group": "Grid layout"
},
{
"title": "Custom layout",
"desc": "Use different settings to create a custom visualization layout",
"file": "custom_layout",
"path": "data_visualization/grid_layout",
"group": "Grid layout"
},
{
"title": "Add layout titles",
"desc": "Use different custom titles to create a visualization layout",
"file": "layout_titles",
"path": "data_visualization/grid_layout",
"group": "Grid layout"
},
{
"title": "Customize layout viewport",
"desc": "Use different viewport settings to create a visualization layout",
"file": "layout_viewport",
"path": "data_visualization/grid_layout",
"group": "Grid layout"
},
{
"title": "Make layout static",
"desc": "Create a static visualization layout",
"file": "static_layout",
"path": "data_visualization/grid_layout",
"group": "Grid layout"
},
{
"title": "Publish a public table Visualization",
"desc": "Publish a visualization from a public table",
"file": "publish_visualization_public_table",
"path": "data_visualization/publish_and_share",
"group": "Publish and share"
},
{
"title": "Publish a private table visualization",
"desc": "Publish a visualization from a private table",
"file": "publish_visualization_private_table",
"path": "data_visualization/publish_and_share",
"group": "Publish and share"
},
{
"title": "Publish a GeoDataFrame visualization",
"desc": "Publish a visualization from a GeoDataFrame",
"file": "publish_visualization_gdf",
"path": "data_visualization/publish_and_share",
"group": "Publish and share"
},
{
"title": "Publish a layout visualization",
"desc": "Publish a visualization of a layout",
"file": "publish_visualization_layout",
"path": "data_visualization/publish_and_share",
"group": "Publish and share"
}
]
},
{
"title": "Data Services",
"desc": "Learn how to combine your data and CARTO's Location Data Services for geospatial analyses",
"hide_sidebar_samples": true,
"samples": [
{
"title": "Geocoding",
"desc": "Using the Geocoding Services to geocode a DataFrame",
"file": "geocoding",
"path": "data_services"
},
{
"title": "Isochrones",
"desc": "Using the Isolines Services to calculate isochrones",
"file": "isochrones",
"path": "data_services"
},
{
"title": "Isodistances",
"desc": "Using the Isolines Services to calculate isodistances",
"file": "isodistances",
"path": "data_services"
},
{
"title": "Combining geocoding and isolines",
"desc": "Use both Geocoding and Isolines services",
"file": "geocoding_and_isolines",
"path": "data_services"
}
]
},
{
"title": "Data Observatory",
"desc": "Learn how to discover third party datasets and enrich your data through CARTO's Data Observatory",
"hide_sidebar_samples": true,
"samples": [
{
"title": "Data Discovery in the Data Observatory",
"desc": "How to explore the Data Observatory catalog to find the data that best fits your needs",
"file": "do_data_discovery",
"path": "data_observatory"
},
{
"title": "Access Public Data from the Data Observatory",
"desc": "Access and manage public data from the Data Observatory",
"file": "do_access_public_data",
"path": "data_observatory"
},
{
"title": "Access Premium Data from the Data Observatory",
"desc": "Access and manange premium data from the Data Observatory",
"file": "do_access_premium_data",
"path": "data_observatory"
},
{
"title": "Point Enrichment",
"desc": "Use the enrichment to enrich points for a dataset",
"file": "points_enrichment_dataset",
"path": "data_observatory"
},
{
"title": "Basic Polygon Enrichment",
"desc": "Use the enrichment to enrich polygons for a dataset",
"file": "polygons_enrichment_dataset",
"path": "data_observatory"
},
{
"title": "Advanced Polygon Enrichment",
"desc": "Incorporate the enrichment in your workflows for advanced use cases",
"file": "do_data_enrichment",
"path": "data_observatory"
},
{
"title": "Request premium dataset subscription",
"desc": "Basic steps to request a premium dataset subscription in the Data Observatory",
"file": "enrichment_subscription_workflow",
"path": "data_observatory"
},
{
"title": "Access Public Data from BigQuery",
"desc": "Get and use your Data Observatory's Google Cloud credentials",
"file": "google_cloud_credentials",
"path": "data_observatory"
},
{
"title": "Filter a Dataset using a Geography",
"desc": "Learn how to filter a Data Observatory Dataset using a Data Observatory Geography",
"file": "wof_to_filter_do_data",
"path": "data_observatory"
}
]
}
]
}