extref_conf.json

{
  "2020": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/2020.ipynb"
    },
    "text": "Lets-Plot in 2020",
    "image": {
      "square": "_static/images/previews/examples/generated/square-2020.png"
    }
  },
  "30_day_chart_2": {
    "ref": {
      "html": "https://www.ddanieltan.com/posts/30-day-chart-2/index.html"
    },
    "text": "Neo",
    "image": {
      "square": "_static/images/previews/examples/generated/square-30_day_chart_2.png"
    }
  },
  "aes_size_color_variadic_lines": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/aes_size_color_variadic_lines.ipynb"
    },
    "text": "Variadic lines in geom_path() and geom_line()",
    "image": {
      "square": "_static/images/previews/examples/generated/square-aes_size_color_variadic_lines.png"
    }
  },
  "aes_stroke": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/aes_stroke.ipynb"
    },
    "text": "'stroke' aesthetic",
    "image": {
      "square": "_static/images/previews/examples/generated/square-aes_stroke.png"
    }
  },
  "allowed_data_types": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/allowed_data_types.ipynb"
    },
    "text": "Allowed data types"
  },
  "annotations_for_pie": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/annotations_for_pie.ipynb"
    },
    "text": "Annotations for pie"
  },
  "axis_position": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/axis_position.ipynb"
    },
    "text": "Axis position",
    "image": {
      "square": "_static/images/previews/examples/generated/square-axis_position.png"
    }
  },
  "axis_text_angle": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/axis_text_angle.ipynb"
    },
    "text": "Rotation of axis labels",
    "image": {
      "square": "_static/images/previews/examples/generated/square-axis_text_angle.png"
    }
  },
  "bar_annotations": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/bar_annotations.ipynb"
    },
    "text": "Annotations for barchart",
    "image": {
      "square": "_static/images/previews/examples/generated/square-bar_annotations.png"
    }
  },
  "bar_geometry": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/bar.ipynb"
    },
    "text": "Bar geometry",
    "image": {
      "square": "_static/images/previews/examples/generated/square-bar.png"
    }
  },
  "bar_on_livemap": {
    "ref": {
      "datalore": "https://datalore.jetbrains.com/view/notebook/kX5AC94O9FKVkED8eLNMXU"
    },
    "text": "Bar on livemap",
    "image": {
      "square": "_static/images/previews/examples/generated/square-bar_on_livemap.png"
    }
  },
  "bayesian_inference": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/denisvstepanov/lets-plot-examples/blob/master/Bayesian%20inference.ipynb"
    },
    "text": "Bayesian inference",
    "image": {
      "square": "_static/images/previews/examples/generated/square-bayesian_inference.png"
    }
  },
  "bbc_cookbook": {
    "ref": {
      "nextjournal": "https://nextjournal.com/asmirnov-horis/bbc-visual-and-data-journalism-cookbook-for-lets-plot",
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/bbc_cookbook.ipynb"
    },
    "text": "BBC visual and data journalism cookbook for Lets-Plot",
    "image": {
      "square": "_static/images/previews/examples/generated/square-bbc_cookbook.png"
    }
  },
  "beijing": {
    "ref": {
      "kaggle": "https://www.kaggle.com/alshan/beijing-housing-prices-on-a-map-with-spatial-join"
    },
    "text": "Beijing housing prices on a map with spatial join",
    "image": {
      "square": "_static/images/previews/examples/generated/square-beijing.png"
    }
  },
  "bigquery_gis": {
    "ref": {
      "kaggle": "https://www.kaggle.com/asmirnovhoris/bigquery-gis-and-lets-plot"
    },
    "text": "Getting started with BigQuery GIS and Lets-Plot",
    "image": {
      "square": "_static/images/previews/examples/generated/square-bigquery_gis.png"
    }
  },
  "blueberries_optuna_catboost_baseline": {
    "ref": {
      "kaggle": "https://www.kaggle.com/collinsakal/blueberries-optuna-catboost-baseline"
    },
    "text": "Blueberries Optuna + CatBoost Baseline",
    "image": {
      "square": "_static/images/previews/examples/generated/square-blueberries_optuna_catboost_baseline.png"
    }
  },
  "colors_viridis": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/colors_viridis.ipynb"
    },
    "text": "Colors viridis"
  },
  "complete_themes": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/complete_themes.ipynb"
    },
    "text": "All predefined themes",
    "image": {
	  "minimal2": "_static/images/previews/examples/generated/service-charts_themes-0.png",
	  "bw": "_static/images/previews/examples/generated/service-charts_themes-1.png",
	  "grey": "_static/images/previews/examples/generated/service-charts_themes-2.png",
	  "classic": "_static/images/previews/examples/generated/service-charts_themes-3.png",
	  "light": "_static/images/previews/examples/generated/service-charts_themes-4.png",
	  "minimal": "_static/images/previews/examples/generated/service-charts_themes-5.png"
    }
  },
  "continuous_color_scales": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/continuous_color_scales.ipynb"
    },
    "text": "Continuous color scales"
  },
  "contours": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/contours.ipynb"
    },
    "text": "Contours",
    "image": {
      "square": "_static/images/previews/examples/generated/square-contours.png"
    }
  },
  "coord_polar": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/coord_polar.ipynb"
    },
    "text": "Polar coordinate system"
  },
  "coordinate_systems": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/coordinate_systems.ipynb"
    },
    "text": "Coordinate systems",
    "image": {
      "square": "_static/images/previews/examples/generated/square-coordinate_systems.png"
    }
  },
  "correlation_plot": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/correlation_plot.ipynb"
    },
    "text": "Correlation plot",
    "image": {
      "square": "_static/images/previews/examples/generated/square-correlation_plot-0.png",
      "bistro-1": "_static/images/previews/examples/generated/square-correlation_plot-1.png",
      "bistro-2": "_static/images/previews/examples/generated/square-correlation_plot-2.png",
      "bistro-3": "_static/images/previews/examples/generated/square-correlation_plot-3.png"
    }
  },
  "covid19_and_mobility": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/covid19_and_mobility.ipynb"
    },
    "text": "Population mobility and COVID-19",
    "image": {
      "square": "_static/images/previews/examples/generated/square-covid19_and_mobility.png"
    }
  },
  "covid19_india": {
    "ref": {
      "kaggle": "https://www.kaggle.com/alshan/covid-19-in-india-eda-and-spatial-visualization"
    },
    "text": "COVID-19 in India: EDA and spatial visualization",
    "image": {
      "square": "_static/images/previews/examples/generated/square-covid19_india.png",
      "4x3": "_static/images/previews/examples/generated/4x3-covid19_india.png"
    }
  },
  "default_theme": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/default_theme.ipynb"
    },
    "text": "Default theme",
    "image": {
      "square": "_static/images/previews/examples/generated/square-default_theme.png"
    }
  },
  "delhi_climate": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/delhi_climate.ipynb"
    },
    "text": "Delhi climate",
    "image": {
      "square": "_static/images/previews/examples/generated/square-delhi_climate.png"
    }
  },
  "density_2d": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/density_2d.ipynb"
    },
    "text": "2d density",
    "image": {
      "square": "_static/images/previews/examples/generated/square-density_2d.png"
    }
  },
  "discrete_color_scales": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/discrete_color_scales.ipynb"
    },
    "text": "Discrete color scales"
  },
  "distributions": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/distributions.ipynb"
    },
    "text": "Distributions",
    "image": {
      "square": "_static/images/previews/examples/generated/square-distributions.png"
    }
  },
  "dot_plots": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/dot_plots.ipynb"
    },
    "text": "Dot plots",
    "image": {
      "square": "_static/images/previews/examples/generated/square-dot_plots.png"
    }
  },
  "eda_catboost_optuna_baseline": {
    "ref": {
      "kaggle": "https://www.kaggle.com/collinsakal/eda-catboost-optuna-baseline"
    },
    "text": "EDA + CatBoost & Optuna Baseline",
    "image": {
      "square": "_static/images/previews/examples/generated/square-eda_catboost_optuna_baseline.png"
    }
  },
  "enzyme_classification_baseline_submission": {
    "ref": {
      "kaggle": "https://www.kaggle.com/collinsakal/enzyme-classification-baseline-submission"
    },
    "text": "Enzyme Classification Baseline Submission",
    "image": {
      "square": "_static/images/previews/examples/generated/square-enzyme_classification_baseline_submission.png"
    }
  },
  "error_bars": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/error_bars.ipynb"
    },
    "text": "Error bars",
    "image": {
      "square": "_static/images/previews/examples/generated/square-error_bars.png"
    }
  },
  "export": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/export.ipynb"
    },
    "text": "Export plot to SVG, PDF, HTML, PNG"
  },
  "facets_free_scales": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/facets_free_scales.ipynb"
    },
    "text": "Free scales on a faceted plot",
    "image": {
      "square": "_static/images/previews/examples/generated/square-facets_free_scales.png"
    }
  },
  "factor_levels": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/factor_levels.ipynb"
    },
    "text": "Factor levels"
  },
  "facets": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/facets.ipynb"
    },
    "text": "Facets",
    "image": {
      "square": "_static/images/previews/examples/generated/square-facets.png"
    }
  },
  "feature_selection_importance_and_interactions": {
    "ref": {
      "kaggle": "https://www.kaggle.com/collinsakal/feature-selection-importance-and-interactions"
    },
    "text": "Feature Selection, Importance, and Interactions",
    "image": {
      "square": "_static/images/previews/examples/generated/square-feature_selection_importance_and_interactions.png"
    }
  },
  "flavors": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geom_theme_colors.ipynb"
    },
    "text": "Theme colors for geometries",
    "image": {
	  "common": "_static/images/flavors.png"
    }
  },
  "flip_coordinates": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/coord_flip.ipynb"
    },
    "text": "Flipping coordinates",
    "image": {
      "square": "_static/images/previews/examples/generated/square-coord_flip.png"
    }
  },
  "fog_eda": {
    "ref": {
      "kaggle": "https://www.kaggle.com/collinsakal/fog-eda"
    },
    "text": "FoG EDA",
    "image": {
      "square": "_static/images/previews/examples/generated/square-fog_eda.png"
    }
  },
  "font_size_and_family": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/font_size_and_family.ipynb"
    },
    "text": "Font size and family"
  },
  "formatting_axes_etc": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/formatting_axes_etc.ipynb"
    },
    "text": "Formatting labels on plots",
    "image": {
      "square": "_static/images/previews/examples/generated/square-formatting_axes_etc.png"
    }
  },
  "geocoding_examples": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geocoding_examples.ipynb"
    },
    "text": "Geocoding examples",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_examples.png"
    }
  },
  "geocoding_geometries_map_brazil": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geocoding/geocoding_geometries_map_brazil.ipynb"
    },
    "text": "Example of geocoding with map geometry: Brazil",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_geometries_map_brazil.png"
    }
  },
  "geocoding_geometries_map_greece": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geocoding/geocoding_geometries_map_greece.ipynb"
    },
    "text": "Example of geocoding with map geometry: Greece",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_geometries_map_greece.png"
    }
  },
  "geocoding_geometries_map_nigeria": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geocoding/geocoding_geometries_map_nigeria.ipynb"
    },
    "text": "Example of geocoding with map geometry: Nigeria",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_geometries_map_nigeria.png"
    }
  },
  "geocoding_geometries_point_georgia": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geocoding/geocoding_geometries_point_georgia.ipynb"
    },
    "text": "Example of geocoding with point geometry: Georgia",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_geometries_point_georgia.png"
    }
  },
  "geocoding_geometries_point_greenland": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geocoding/geocoding_geometries_point_greenland.ipynb"
    },
    "text": "Example of geocoding with point geometry: Greenland",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_geometries_point_greenland.png"
    }
  },
  "geocoding_geometries_point_kazakhstan": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geocoding/geocoding_geometries_point_kazakhstan.ipynb"
    },
    "text": "Example of geocoding with point geometry: Kazakhstan",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_geometries_point_kazakhstan.png"
    }
  },
  "geocoding_geometries_rectangle_cuba": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geocoding/geocoding_geometries_rectangle_cuba.ipynb"
    },
    "text": "Example of geocoding with rectangle geometry: Cuba",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_geometries_rectangle_cuba.png"
    }
  },
  "geocoding_geometries_rectangle_ireland": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geocoding/geocoding_geometries_rectangle_ireland.ipynb"
    },
    "text": "Example of geocoding with rectangle geometry: Ireland",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_geometries_rectangle_ireland.png"
    }
  },
  "geocoding_geometries_rectangle_japan": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geocoding/geocoding_geometries_rectangle_japan.ipynb"
    },
    "text": "Example of geocoding with rectangle geometry: Japan",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_geometries_rectangle_japan.png"
    }
  },
  "geocoding_level_city_helsinki": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geocoding/geocoding_level_city_helsinki.ipynb"
    },
    "text": "Example of geocoding of cities: Helsinki",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_level_city_helsinki.png"
    }
  },
  "geocoding_level_city_london": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geocoding/geocoding_level_city_london.ipynb"
    },
    "text": "Example of geocoding of cities: London",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_level_city_london.png"
    }
  },
  "geocoding_level_city_nyc": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geocoding/geocoding_level_city_nyc.ipynb"
    },
    "text": "Example of geocoding of cities: New York City",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_level_city_nyc.png"
    }
  },
  "geocoding_level_country_world": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geocoding/geocoding_level_country_world.ipynb"
    },
    "text": "Example of geocoding with all countries",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_level_country_world.png"
    }
  },
  "geocoding_level_country_canada": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geocoding/geocoding_level_country_canada.ipynb"
    },
    "text": "Example of geocoding of countries: Canada",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_level_country_canada.png"
    }
  },
  "geocoding_level_country_india": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geocoding/geocoding_level_country_india.ipynb"
    },
    "text": "Example of geocoding of countries: India",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_level_country_india.png"
    }
  },
  "geocoding_level_county_italy": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geocoding/geocoding_level_county_italy.ipynb"
    },
    "text": "Example of geocoding of counties: Italy",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_level_county_italy.png"
    }
  },
  "geocoding_level_county_poland": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geocoding/geocoding_level_county_poland.ipynb"
    },
    "text": "Example of geocoding of counties: Poland",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_level_county_poland.png"
    }
  },
  "geocoding_level_county_us": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geocoding/geocoding_level_county_us.ipynb"
    },
    "text": "Example of geocoding of counties: United States",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_level_county_us.png"
    }
  },
  "geocoding_level_state_australia": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geocoding/geocoding_level_state_australia.ipynb"
    },
    "text": "Example of geocoding of states: Australia",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_level_state_australia.png"
    }
  },
  "geocoding_level_state_russia": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geocoding/geocoding_level_state_russia.ipynb"
    },
    "text": "Example of geocoding of states: Russia",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_level_state_russia.png"
    }
  },
  "geocoding_level_state_us": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geocoding/geocoding_level_state_us.ipynb"
    },
    "text": "Example of geocoding of states: United States",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_level_state_us.png"
    }
  },
  "geocoding_levels": {
    "ref": {
      "mybinder": "https://mybinder.org/v2/gh/JetBrains/lets-plot-docs/master?filepath=source%2Fexamples%2Fcookbook%2Fgeocoding_levels.ipynb"
    },
    "text": "Geocoding levels",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_levels.png"
    }
  },
  "geocoding_reference": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geocoding_reference.ipynb"
    },
    "text": "Geocoding reference",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geocoding_reference.png"
    }
  },
  "geom_curve": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geom_curve.ipynb"
    },
    "text": "Curve geometry"
  },
  "geom_function": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geom_function.ipynb"
    },
    "text": "Function geometry",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geom_function.png"
    }
  },
  "geom_lollipop": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geom_lollipop.ipynb"
    },
    "text": "Lollipop plot",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geom_lollipop.png"
    }
  },
  "geom_pie": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geom_pie.ipynb"
    },
    "text": "Pie"
  },
  "geom_pie_on_map": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geom_pie_on_map.ipynb"
    },
    "text": "Pie chart on map"
  },
  "geom_pie_size_unit": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geom_pie_size_unit.ipynb"
    },
    "text": "Parameter size_unit in geom_pie()",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geom_pie_size_unit.png"
    }
  },
  "geom_pie_stroke_and_spacers": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geom_pie_stroke_and_spacers.ipynb"
    },
    "text": "Pie chart stroke and spacers",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geom_pie_stroke_and_spacers.png"
    }
  },
  "geom_smooth_matrix": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/smooth_matrix.ipynb"
    },
    "text": "Discover trends with smoothing",
    "image": {
      "square": "_static/images/previews/examples/generated/square-smooth_matrix.png"
    }
  },
  "geom_spoke": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geom_spoke.ipynb"
    },
    "text": "Spoke geometry",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geom_spoke.png"
    }
  },
  "geom_theme_colors": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geom_theme_colors.ipynb"
    },
    "text": "Theme colors for geometries",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geom_theme_colors.png"
    }
  },
  "geom_violin": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geom_violin.ipynb"
    },
    "text": "Violin plot",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geom_violin.png"
    }
  },
  "geopandas_kotlin_isl": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geopandas_kotlin_isl.ipynb"
    },
    "text": "Inset map of Kotlin island",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geopandas_kotlin_isl.png"
    }
  },
  "geopandas_naturalearth": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geopandas_naturalearth.ipynb"
    },
	"text": "Using Lets-Plot with GeoPandas to Create Maps",
    "image": {
      "square": "_static/images/previews/examples/generated/square-geopandas_naturalearth.png"
    }
  },
  "ggbunch": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/ggbunch.ipynb"
    },
    "text": "The GGBunch class",
    "image": {
      "square": "_static/images/previews/examples/generated/square-ggbunch.png"
    }
  },
  "gggrid_scale_share": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/gggrid_scale_share.ipynb"
    },
    "text": "Sharing X,Y-axis scale limits"
  },
  "gggrid_theme": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/gggrid_theme.ipynb"
    },
    "text": "Applying common theme to a plot group"
  },
  "google_play_store": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/google_play_store.ipynb"
    },
    "text": "Google play store EDA",
    "image": {
      "square": "_static/images/previews/examples/generated/square-google_play_store.png"
    }
  },
  "google_suggestions": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/google_suggestions.ipynb"
    },
    "text": "Google suggestions visualization",
    "image": {
      "square": "_static/images/previews/examples/generated/square-google_suggestions.png"
    }
  },
  "graph_edges": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/graph_edges.ipynb"
    },
    "text": "Drawing graph edges"
  },
  "heatmap_in_polar_coord": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/heatmap_in_polar_coord.ipynb"
    },
    "text": "Polar heatmap",
    "image": {
      "square": "_static/images/previews/examples/generated/square-heatmap_in_polar_coord.png"
    }
  },
  "histogram_geometry": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/histogram.ipynb"
    },
    "text": "Histogram",
    "image": {
      "square": "_static/images/previews/examples/generated/square-histogram.png"
    }
  },
  "hjust_vjust": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/hjust_vjust.ipynb"
    },
    "text": "Parameters hjust and vjust"
  },
  "holidays_2023_eda": {
    "ref": {
      "kaggle": "https://www.kaggle.com/htester/holidays-2023-eda"
    },
    "text": "2023 holidays EDA",
    "image": {
      "square": "_static/images/previews/examples/generated/square-holidays_2023_eda.png"
    }
  },
  "horizontal_error_bars": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/horizontal_error_bars.ipynb"
    },
    "text": "Horizontal error bars and vertical 'dodge'",
    "image": {
      "square": "_static/images/previews/examples/generated/square-horizontal_error_bars.png"
    }
  },
  "horizontal_geoms": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/horizontal_geoms.ipynb"
    },
    "text": "Horizontal geoms"
  },
  "how_to_draw_curve": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/how_to_draw_curve.ipynb"
    },
    "text": "How to draw curve fast",
    "image": {
      "square": "_static/images/previews/examples/generated/square-how_to_draw_curve.png"
    }
  },
  "icr_eda_multiple_baselines": {
    "ref": {
      "kaggle": "https://www.kaggle.com/collinsakal/icr-eda-multiple-baselines"
    },
    "text": "ICR EDA + Multiple Baselines",
    "image": {
      "square": "_static/images/previews/examples/generated/square-icr_eda_multiple_baselines.png"
    }
  },
  "image_101": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/image_101.ipynb"
    },
    "text": "geom_imshow()"
  },
  "image_alpha_param": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/image_alpha_param.ipynb"
    },
    "text": "The alpha parameter in geom_imshow()"
  },
  "image_extent": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/image_extent.ipynb"
    },
    "text": "The 'extent' parameter"
  },
  "image_fisher_boat": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/image_fisher_boat.ipynb"
    },
    "text": "Draw a PNG image",
    "image": {
      "square": "_static/images/previews/examples/generated/square-image_fisher_boat.png"
    }
  },
  "image_grayscale": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/image_grayscale.ipynb"
    },
    "text": "Parameters 'norm', 'vmain', 'vmax' and 'cmap'"
  },
  "image_matrix": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/image_matrix.ipynb"
    },
    "text": "Image matrix",
    "image": {
      "square": "_static/images/previews/examples/generated/square-image_matrix.png"
    }
  },
  "image_nan_values": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/image_nan_values.ipynb"
    },
    "text": "NaN values in geom_imshow()"
  },
  "indonesia_volcanoes_on_map": {
    "ref": {
      "kaggle": "https://www.kaggle.com/alshan/indonesia-volcanoes-on-map"
    },
    "text": "Indonesia volcanoes on map",
    "image": {
      "square": "_static/images/previews/examples/generated/square-indonesia_volcanoes_on_map.png"
    }
  },
  "internet_use_and_activities": {
    "ref": {
      "datalore": "https://datalore.jetbrains.com/view/notebook/yTuTJrXKW8wz5NfcVhlaXP"
    },
    "text": "Internet use and activities in Europe",
    "image": {
      "square": "_static/images/previews/examples/generated/square-internet_use_and_activities.png"
    }
  },
  "ivindo_river": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/ivindo_river.ipynb"
    },
    "text": "DEM image on map",
    "image": {
      "square": "_static/images/previews/examples/generated/square-ivindo_river.png"
    }
  },
  "japanese_volcanoes_on_map": {
    "ref": {
      "kaggle": "https://www.kaggle.com/alshan/japanese-volcanoes-on-map"
    },
    "text": "Japanese volcanoes on map",
    "image": {
      "square": "_static/images/previews/examples/generated/square-japanese_volcanoes_on_map.png"
    }
  },
  "joint_plot": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/joint_plot.ipynb"
    },
    "text": "Joint plot",
    "image": {
      "square": "_static/images/previews/examples/generated/square-joint_plot-2.png",
      "bistro-0": "_static/images/previews/examples/generated/square-joint_plot-0.png",
      "bistro-1": "_static/images/previews/examples/generated/square-joint_plot-1.png",
      "bistro-2": "_static/images/previews/examples/generated/square-joint_plot-2.png",
      "bistro-3": "_static/images/previews/examples/generated/square-joint_plot-3.png"
    }
  },
  "joyplot": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/joyplot.ipynb"
    },
    "text": "Joyplot",
    "image": {
      "square": "_static/images/previews/examples/generated/square-joyplot.png"
    }
  },
  "kernels_visualization": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/denisvstepanov/lets-plot-examples/blob/master/Kernels.ipynb"
    },
    "text": "Kernels visualization",
    "image": {
      "square": "_static/images/previews/examples/generated/square-kernels_visualization.png"
    }
  },
  "kidney_eda_catboost_baseline": {
    "ref": {
      "kaggle": "https://www.kaggle.com/collinsakal/kidney-eda-catboost-baseline"
    },
    "text": "Kidney EDA + CatBoost Baseline",
    "image": {
      "square": "_static/images/previews/examples/generated/square-kidney_eda_catboost_baseline.png"
    }
  },
  "klein_bottle": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/denisvstepanov/lets-plot-examples/blob/master/Klein%20bottle%20-%20pseudo%203D.ipynb"
    },
    "text": "Klein bottle visualization",
    "image": {
      "square": "_static/images/previews/examples/generated/square-klein_bottle.png"
    }
  },
  "legend_and_axis": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/legend_and_axis.ipynb"
    },
    "text": "Legend and axis",
    "image": {
      "square": "_static/images/previews/examples/generated/square-legend_and_axis.png"
    }
  },
  "legend_text_multiline": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/legend_text_multiline.ipynb"
    },
    "text": "Multiple lines for legend text",
    "image": {
      "square": "_static/images/previews/examples/generated/square-legend_text_multiline.png"
    }
  },
  "lets_plot_cheatbook": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/lets_plot_cheatbook.ipynb"
    },
    "text": "Lets-Plot cheatbook",
    "image": {
      "square": "_static/images/previews/examples/generated/square-lets_plot_cheatbook.png"
    }
  },
  "line_vs_path": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/line_vs_path.ipynb"
    },
    "text": "Line vs. path",
    "image": {
      "square": "_static/images/previews/examples/generated/square-line_vs_path.png"
    }
  },
  "malnutrition": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/malnutrition.ipynb"
    },
    "text": "Malnutrition in the world",
    "image": {
      "square": "_static/images/previews/examples/generated/square-malnutrition.png"
    }
  },
  "mandelbulbs": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/denisvstepanov/lets-plot-examples/blob/master/Mandelbulbs.ipynb"
    },
    "text": "Mandelbulbs visualization",
    "image": {
      "square": "_static/images/previews/examples/generated/square-mandelbulbs.png"
    }
  },
  "map_airports": {
    "ref": {
      "kaggle": "https://www.kaggle.com/alshan/visualization-of-airport-data-on-map",
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/map_airports.ipynb"
    },
    "text": "Visualization of airport data on map",
    "image": {
      "square": "_static/images/previews/examples/generated/square-map_airports.png"
    }
  },
  "map_california_housing": {
    "ref": {
      "datalore": "https://datalore.jetbrains.com/view/notebook/NCimfm45sYdFyh0JosywnO",
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/map_california_housing.ipynb"
    },
    "text": "Visulizing spatial information - california housing",
    "image": {
      "square": "_static/images/previews/examples/generated/square-map_california_housing.png",
      "4x3": "_static/images/previews/examples/generated/4x3-map_california_housing.png"
    }
  },
  "map_quickstart": {
    "ref": {
      "datalore": "https://datalore.jetbrains.com/view/notebook/9dzGjTQay4ENqj7GTEIvBU",
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/map_quickstart.ipynb"
    },
    "text": "Quick start guide to maps",
    "image": {
      "square": "_static/images/previews/examples/generated/square-map_quickstart.png"
    }
  },
  "map_us_household_income": {
    "ref": {
      "datalore": "https://datalore.jetbrains.com/view/notebook/18vW14MKvPqWBIedhsrrSQ",
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/map_US_household_income.ipynb"
    },
    "text": "Mapping US household income",
    "image": {
      "square": "_static/images/previews/examples/generated/square-map_US_household_income.png"
    }
  },
  "map_use_crs": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/map_use_crs.ipynb"
    },
    "text": "Image on map, the 'use_crs' parameter",
    "image": {
      "square": "_static/images/previews/examples/generated/square-map_use_crs.png"
    }
  },
  "mapping_us_household_income": {
    "ref": {
      "kaggle": "https://www.kaggle.com/alshan/mapping-us-household-income"
    },
    "text": "Mapping US household income",
    "image": {
      "square": "_static/images/previews/examples/generated/square-mapping_US_household_income.png"
    }
  },
  "maps_and_geocoding": {
    "ref": {
      "datalore": "https://datalore.jetbrains.com/view/notebook/PRg5U4Zkk19xSGi7bDJ2uz"
    },
    "text": "Maps and geocoding",
    "image": {
      "square": "_static/images/previews/examples/generated/square-maps_and_geocoding.png"
    }
  },
  "marginal_layers": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/marginal_layers.ipynb"
    },
    "text": "Marginal plots",
    "image": {
      "square": "_static/images/previews/examples/generated/square-marginal_layers.png"
    }
  },
  "margins": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/margins.ipynb"
    },
    "text": "Plot margins"
  },
  "minard": {
    "ref": {
      "datalore": "https://datalore.jetbrains.com/view/notebook/g1OrpV6Vx4CGxIInpB2b5y"
    },
    "text": "Exploring Minard's 1812 plot with Lets-Plot",
    "image": {
      "square": "_static/images/previews/examples/generated/square-minard.png"
    }
  },
  "mosaic_image": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/mosaic_image.ipynb"
    },
    "text": "Mosaic art with Lets-Plot",
    "image": {
      "square": "_static/images/previews/examples/generated/square-mosaic_image.png"
    }
  },
  "mpg_corrgram": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/mpg_corrgram.ipynb"
    },
    "text": "MPG correlogram",
    "image": {
      "square": "_static/images/previews/examples/generated/square-mpg_corrgram.png"
    }
  },
  "multiple_color_scales": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/multiple_color_scales.ipynb"
    },
    "text": "Multiple color scales",
    "image": {
      "square": "_static/images/previews/examples/generated/square-multiple_color_scales.png"
    }
  },
  "museums": {
    "ref": {
      "datalore": "https://datalore.jetbrains.com/view/notebook/aaS9Klh4fU48gEZbb7C3XN"
    },
    "text": "US museums",
    "image": {
      "square": "_static/images/previews/examples/generated/square-museums.png"
    }
  },
  "netflix": {
    "ref": {
      "kaggle": "https://www.kaggle.com/asmirnovhoris/netflix-exploratory-data-analysis"
    },
    "text": "Netflix - exploratory data analysis",
    "image": {
      "square": "_static/images/previews/examples/generated/square-netflix_movies.png"
    }
  },
  "netflix_movies": {
    "ref": {
      "kaggle": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/netflix_movies.ipynb"
    },
    "text": "Netflix movies"
  },
  "new_zealand_dem_remake": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/new_zealand_dem_remake.ipynb"
    },
    "text": "New Zealand DEM remake",
    "image": {
      "square": "_static/images/previews/examples/generated/square-new_zealand_dem_remake.png"
    }
  },
  "nobel": {
    "ref": {
      "kaggle": "https://www.kaggle.com/htester/nobel-prize-eda",
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/nobel.ipynb"
    },
    "text": "Nobel prize EDA",
    "image": {
      "square": "_static/images/previews/examples/generated/square-nobel.png"
    }
  },
  "nyc_metro": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/HIL-HK/lets-plot-examples/blob/master/demo/nyc_metro.ipynb"
    },
    "text": "NYC subway with BigQuery",
    "image": {
      "square": "_static/images/previews/examples/generated/square-nyc_metro.png"
    }
  },
  "ordering_examples": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/ordering_examples.ipynb"
    },
    "text": "Guide to ordering",
    "image": {
      "square": "_static/images/previews/examples/generated/square-ordering_examples.png"
    }
  },
  "palmer_penguins": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/palmer_penguins.ipynb"
    },
    "text": "Palmer penguins",
    "image": {
      "square": "_static/images/previews/examples/generated/square-palmer_penguins.png"
    }
  },
  "panel_border": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/panel_border.ipynb"
    },
    "text": "Panel borders",
    "image": {
      "square": "_static/images/previews/examples/generated/square-panel_border.png"
    }
  },
  "param_flat": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/param_flat.ipynb"
    },
    "text": "Controlling lines curvnes on a livemap with flat parameter",
    "image": {
      "square": "_static/images/previews/examples/generated/square-param_flat.png"
    }
  },
  "param_geodesic": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/param_geodesic.ipynb"
    },
    "text": "Geodesic option"
  },
  "parkinson_s_eda": {
    "ref": {
      "kaggle": "https://www.kaggle.com/collinsakal/parkinson-s-eda"
    },
    "text": "Parkinson's EDA",
    "image": {
      "square": "_static/images/previews/examples/generated/square-parkinson_s_eda.png"
    }
  },
  "periodic_table": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/periodic_table.ipynb"
    },
    "text": "Mendeleev's periodic table of elements",
    "image": {
      "square": "_static/images/previews/examples/generated/square-periodic_table.png"
    }
  },
  "plot_grid": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/plot_grid.ipynb"
    },
    "text": "The gggrid() function",
    "image": {
      "square": "_static/images/previews/examples/generated/square-plot_grid.png"
    }
  },
  "plotting_airbnb_prices_boston": {
    "ref": {
      "datalore": "https://datalore.jetbrains.com/view/notebook/eifzdh96VYuNrcjuOpYPYr",
      "medium": "https://csboutique.medium.com/lets-plot-948ee80cfa5c"
    },
	"text": "Plotting Airbnb prices Boston",
    "image": {
      "square": "_static/images/previews/examples/generated/square-plotting_airbnb_prices_boston.png"
    }
  },
  "position_stack": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/position_stack.ipynb"
    },
    "text": "Stackable position adjustments"
  },
  "post_punk_remake": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/post-punk_remake.ipynb"
    },
    "text": "A post-punk chart remake",
    "image": {
      "square": "_static/images/previews/examples/generated/square-post-punk_remake.png"
    }
  },
  "predictive_insights_from_catboost": {
    "ref": {
      "kaggle": "https://www.kaggle.com/collinsakal/predictive-insights-from-catboost"
    },
    "text": "Predictive Insights from CatBoost",
    "image": {
      "square": "_static/images/previews/examples/generated/square-predictive_insights_from_catboost.png"
    }
  },
  "projection_provided": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/projection_provided.ipynb"
    },
    "text": "Using exotic map projections"
  },
  "pulsar_eda_xgb_optuna_baseline": {
    "ref": {
      "kaggle": "https://www.kaggle.com/collinsakal/pulsar-eda-xgb-optuna-baseline"
    },
    "text": "Pulsar EDA + XGB & Optuna Baseline",
    "image": {
      "square": "_static/images/previews/examples/generated/square-pulsar_eda_xgb_optuna_baseline.png"
    }
  },
  "pushkin": {
    "ref": {
      "datalore": "https://datalore.jetbrains.com/view/notebook/DyD2CLrAbpfO3FMtg6QuhT"
    },
    "text": "Pushkin as a traveller",
    "image": {
      "square": "_static/images/previews/examples/generated/square-pushkin.png"
    }
  },
  "qq_plots": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/qq_plots.ipynb"
    },
    "text": "Q-Q plots",
    "image": {
      "square": "_static/images/previews/examples/generated/square-qq_plots-0.png",
      "bistro-1": "_static/images/previews/examples/generated/square-qq_plots-1.png",
      "bistro-2": "_static/images/previews/examples/generated/square-qq_plots-2.png",
      "bistro-3": "_static/images/previews/examples/generated/square-qq_plots-3.png",
      "bistro-4": "_static/images/previews/examples/generated/square-qq_plots-4.png"
    }
  },
  "quantile_parameters": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/quantile_parameters.ipynb"
    },
    "text": "Showing quantiles on density plots",
    "image": {
      "square": "_static/images/previews/examples/generated/square-quantile_parameters.png"
    }
  },
  "quickstart": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/quickstart.ipynb",
      "datalore": "https://datalore.jetbrains.com/view/notebook/Vl3fAET56UBray6rPufmDA",
      "dataspell": "https://www.jetbrains.com/dataspell",
      "kaggle": "https://www.kaggle.com/alshan/lets-plot-quickstart",
      "colab": "https://colab.research.google.com/drive/1uYYZcG0g0kP4lJdPkpWB8aBS96ioDii2?usp=sharing",
      "deepnote": "https://deepnote.com/project/673ea421-638e-469d-8d04-5cc4c6e0258f#%2Fnotebook.ipynb",
      "pycharm": "https://plugins.jetbrains.com/plugin/14379-lets-plot-in-sciview",
      "nextjournal": "https://nextjournal.com/alshan/lets-plot-quickstart?token=H8DPBC6A3kZqWmusxWzZ9c"
    },
    "title": "Quick start with Lets-Plot",
    "text": "Quick start with Lets-Plot",
    "image": {
      "square": "_static/images/previews/examples/generated/square-quickstart.png"
    }
  },
  "residual_plot": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/residual_plot.ipynb"
    },
    "text": "Residual plot",
    "image": {
      "square": "_static/images/previews/examples/generated/square-residual_plot-0.png",
      "bistro-1": "_static/images/previews/examples/generated/square-residual_plot-1.png",
      "bistro-2": "_static/images/previews/examples/generated/square-residual_plot-2.png",
      "bistro-3": "_static/images/previews/examples/generated/square-residual_plot-3.png"
    }
  },
  "ridgeline_plot": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/ridgeline_plot.ipynb"
    },
    "text": "Ridgeline plot"
  },
  "sampling_groups": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/sampling_groups.ipynb"
    },
    "text": "Group sampling",
    "image": {
      "square": "_static/images/previews/examples/generated/square-sampling_groups.png"
    }
  },
  "sampling_pick": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/sampling_pick.ipynb"
    },
    "text": "Pick sampling",
    "image": {
      "square": "_static/images/previews/examples/generated/square-sampling_pick.png"
    }
  },
  "sampling_random": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/sampling_random.ipynb"
    },
    "text": "Random sampling",
    "image": {
      "square": "_static/images/previews/examples/generated/square-sampling_random.png"
    }
  },
  "sampling_stratified": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/sampling_stratified.ipynb"
    },
    "text": "Stratified sampling",
    "image": {
      "square": "_static/images/previews/examples/generated/square-sampling_stratified.png"
    }
  },
  "sampling_systematic": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/sampling_systematic.ipynb"
    },
    "text": "Systematic sampling",
    "image": {
      "square": "_static/images/previews/examples/generated/square-sampling_systematic.png"
    }
  },
  "sampling_vertex": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/sampling_vertex.ipynb"
    },
    "text": "Vertex sampling",
    "image": {
      "square": "_static/images/previews/examples/generated/square-sampling_vertex.png"
    }
  },
  "scale_functions": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/scale_functions.ipynb"
    },
    "text": "Scale functions with parameter aesthetic",
    "image": {
      "square": "_static/images/previews/examples/generated/square-scale_functions.png"
    }
  },
  "scale_params_with_dict": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/scale_params_with_dict.ipynb"
    },
    "text": "Using a dictionary as parameter values in scale_xxx()",
    "image": {
      "square": "_static/images/previews/examples/generated/square-scale_params_with_dict.png"
    }
  },
  "scale_time": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/scale_time.ipynb"
    },
    "text": "Scale time",
    "image": {
      "square": "_static/images/previews/examples/generated/square-scale_time.png"
    }
  },
  "scatter_plot": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/scatter_plot.ipynb"
    },
    "text": "Draw a scatter plot",
    "image": {
      "square": "_static/images/previews/examples/generated/square-scatter_plot.png"
    }
  },
  "set_font_faces": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/set_font_faces.ipynb"
    },
    "text": "Set font faces",
    "image": {
      "square": "_static/images/previews/examples/generated/square-set_font_faces.png"
    }
  },
  "soil_pollutants_with_gaussian_processes": {
    "ref": {
      "nextjournal": "https://nextjournal.com/asmirnov-horis/spatial-prediction-of-soil-pollutants-with-multi-output-gaussian-processes?token=26GT2sBa3Ycw6LGZxqdTay"
    },
    "text": "Spatial prediction of soil pollutants with multi-output Gaussian processes",
    "image": {
      "square": "_static/images/previews/examples/generated/square-soil_pollutants_with_gaussian_processes.png"
    }
  },
  "spb_bakeries": {
    "ref": {
      "datalore": "https://datalore.jetbrains.com/view/notebook/OJC8wvcJLQ6hqTYA54RU1G"
    },
    "text": "Voronoi diagram of the Saint-Petersburg bakeries",
    "image": {
      "square": "_static/images/previews/examples/generated/square-spb_bakeries.png"
    }
  },
  "stat_boxplot_outlier": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/stat_boxplot_outlier.ipynb"
    },
    "text": "'boxplot_outlier' statistics",
    "image": {
      "square": "_static/images/previews/examples/generated/square-stat_boxplot_outlier.png"
    }
  },
  "stat_count2d_vars": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/stat_count2d_vars.ipynb"
    },
    "text": "Count stat"
  },
  "stat_ecdf": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/stat_ecdf.ipynb"
    },
    "text": "ECDF stat",
    "image": {
      "square": "_static/images/previews/examples/generated/square-stat_ecdf.png"
    }
  },
  "superscript_exponent": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/superscript_exponent.ipynb"
    },
    "text": "Exponent format in Lets-Plot"
  },
  "geom_count": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geom_count.ipynb"
    },
    "text": "Handling an overplotting on a scatter plot: geom_count()/stat_sum()"
  },
  "stat_summary": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/stat_summary.ipynb"
    },
    "text": "Summary stat",
    "image": {
      "square": "_static/images/previews/examples/generated/square-stat_summary.png"
    }
  },
  "stat_summary_bin": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/stat_summary_bin.ipynb"
    },
    "text": "Binned summary stat",
    "image": {
      "square": "_static/images/previews/examples/generated/square-stat_summary_bin.png"
    }
  },
  "text_geoms": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/text_geoms.ipynb"
    },
    "text": "Text geoms"
  },
  "text_margins": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/text_margins.ipynb"
    },
    "text": "Text margins"
  },
  "title_subtitle_caption": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/title_subtitle_caption.ipynb"
    },
    "text": "Title, subtitle, caption",
    "image": {
      "square": "_static/images/previews/examples/generated/square-title_subtitle_caption.png"
    }
  },
  "the_gallery_of_basemaps": {
    "ref": {
      "datalore": "https://datalore.jetbrains.com/report/static/HZqq77cegYd.E7get_WnChZ/05NSsbcsOYZMBN9n4JfKzL",
      "kaggle": "https://www.kaggle.com/alshan/the-gallery-of-basemaps",
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/map_basemap_gallery.ipynb"
    },
    "text": "Configuring basemap tiles in Lets-Plot",
    "image": {
      "square": "_static/images/previews/examples/generated/square-map_basemap_gallery.png",
      "carto_antique": "_static/images/previews/examples/handmade/the_gallery_of_basemaps/carto_antique.png",
      "carto_dark_matter_no_labels": "_static/images/previews/examples/handmade/the_gallery_of_basemaps/carto_dark_matter_no_labels.png",
      "carto_flat_blue": "_static/images/previews/examples/handmade/the_gallery_of_basemaps/carto_flat_blue.png",
      "carto_midnight_commander": "_static/images/previews/examples/handmade/the_gallery_of_basemaps/carto_midnight_commander.png",
      "carto_positron": "_static/images/previews/examples/handmade/the_gallery_of_basemaps/carto_positron.png",
      "carto_positron_no_labels": "_static/images/previews/examples/handmade/the_gallery_of_basemaps/carto_positron_no_labels.png",
      "carto_voyager": "_static/images/previews/examples/handmade/the_gallery_of_basemaps/carto_voyager.png",
      "lets_plot_bw": "_static/images/previews/examples/handmade/the_gallery_of_basemaps/lets_plot_bw.png",
      "lets_plot_dark": "_static/images/previews/examples/handmade/the_gallery_of_basemaps/lets_plot_dark.png",
      "lets_plot_default": "_static/images/previews/examples/handmade/the_gallery_of_basemaps/lets_plot_default.png",
      "lets_plot_light": "_static/images/previews/examples/handmade/the_gallery_of_basemaps/lets_plot_light.png",
      "nasa_gibs_color_shaded": "_static/images/previews/examples/handmade/the_gallery_of_basemaps/nasa_gibs_color_shaded.png",
      "nasa_gibs_greyscale": "_static/images/previews/examples/handmade/the_gallery_of_basemaps/nasa_gibs_greyscale.png",
      "nasa_gibs_sity_lights": "_static/images/previews/examples/handmade/the_gallery_of_basemaps/nasa_gibs_sity_lights.png",
      "nasa_gibs_terra_true_color": "_static/images/previews/examples/handmade/the_gallery_of_basemaps/nasa_gibs_terra_true_color.png",
      "open_topo_map": "_static/images/previews/examples/handmade/the_gallery_of_basemaps/open_topo_map.png",
      "osm_standard": "_static/images/previews/examples/handmade/the_gallery_of_basemaps/osm_standard.png"
    }
  },
  "theme_bw": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/theme_bw.ipynb"
    },
    "text": "theme_bw()"
  },
  "theme_flavors": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/theme_flavors.ipynb"
    },
    "text": "Theme flavors"
  },
  "theme_label_text": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/theme_label_text.ipynb"
    },
    "text": "Text setting for annotations"
  },
  "theme_plot_margin": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/theme_plot_margin.ipynb"
    },
    "text": "Plot margins"
  },
  "theme_plot_message": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/theme_plot_message.ipynb"
    },
    "text": "Option to show/hide plot messages"
  },
  "themes": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/themes.ipynb"
    },
    "text": "Themes overview",
    "image": {
      "square": "_static/images/previews/examples/generated/square-themes.png"
    }
  },
  "titanic": {
    "ref": {
      "kaggle": "https://www.kaggle.com/alshan/visualization-of-the-titanic-s-voyage",
      "datalore": "https://datalore.jetbrains.com/view/notebook/c9z45DyqjHuYikaD2ikcVt",
      "colab": "https://colab.research.google.com/drive/1PerUfSCyStcbnlXnxBj-JVI25-cXB_N5?usp=sharing",
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/titanic.ipynb"
    },
    "text": "Visualization of the Titanic's voyage",
    "image": {
      "square": "_static/images/previews/examples/generated/square-titanic.png"
    }
  },
  "tooltip_config": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/tooltip_config.ipynb"
    },
    "text": "Tooltip customization",
    "image": {
      "square": "_static/images/previews/examples/handmade/tooltip_config.png"
    }
  },
  "tooltip_title": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/tooltip_title.ipynb"
    },
    "text": "Tooltip title",
    "image": {
      "square": "_static/images/previews/examples/handmade/tooltip_title.png"
    }
  },
  "tooltips_disable_splitting": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/tooltips_disable_splitting.ipynb"
    },
    "text": "Tooltip customization API: disable_splitting()",
    "image": {
      "square": "_static/images/previews/examples/handmade/tooltips_disable_splitting.png"
    }
  },
  "tooltips_page": {
    "ref": {
      "datalore": "https://datalore.jetbrains.com/report/static/HZqq77cegYd.E7get_WnChZ/y8xk12VJ0sHpRHcWnrDhQO"
    },
    "text": "Tooltip customization"
  },
  "tooltips_theme": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/tooltips_theme.ipynb"
    },
    "text": "Tooltips theme",
    "image": {
      "square": "_static/images/previews/examples/handmade/tooltips_theme.png"
    }
  },
  "torus": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/denisvstepanov/lets-plot-examples/blob/master/Torus%20-%20pseudo%203D.ipynb"
    },
    "text": "Torus visualization",
    "image": {
      "square": "_static/images/previews/examples/generated/square-torus.png"
    }
  },
  "tourist_cities": {
    "ref": {
      "datalore": "https://datalore.jetbrains.com/view/notebook/GtO0yKY9g5yrpiWYPpKFUo"
    },
    "text": "Tourist cities",
    "image": {
      "square": "_static/images/previews/examples/generated/square-tourist_cities.png"
    }
  },
  "travel_the_world": {
    "ref": {
      "datalore": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/travel_the_world.ipynb"
    },
    "text": "Travel the world",
    "image": {
      "square": "_static/images/previews/examples/generated/square-travel_the_world.png"
    }
  },
  "user_guide": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/user_guide.ipynb"
    },
    "text": "Lets-Plot usage guide",
    "image": {
      "square": "_static/images/previews/examples/generated/square-user_guide.png"
    }
  },
  "venn_diagram": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/venn_diagram.ipynb"
    },
    "text": "Venn diagram",
    "image": {
      "square": "_static/images/previews/examples/generated/square-venn_diagram.png"
    }
  },
  "wind_rose": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/wind_rose.ipynb"
    },
    "text": "Wind rose",
    "image": {
      "square": "_static/images/previews/examples/generated/square-wind_rose.png"
    }
  },
  "world_coloring": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/world_coloring.ipynb"
    },
    "text": "Minimalistic world coloring with Lets-Plot",
    "image": {
      "square": "_static/images/previews/examples/generated/square-world_coloring.png"
    }
  },
  "world_happiness": {
    "ref": {
      "kaggle": "https://www.kaggle.com/htester/world-happiness-report-eda"
    },
    "text": "World happiness EDA",
    "image": {
      "square": "_static/images/previews/examples/generated/square-world_happiness.png"
    }
  },
  "world_values_survey": {
    "ref": {
      "kaggle": "https://www.kaggle.com/asmirnovhoris/world-values-survey-wave-7"
    },
    "text": "World values survey - wave 7",
    "image": {
      "square": "_static/images/previews/examples/generated/square-world_values_survey.png"
    }
  },
  "y_orientation": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/y_orientation.ipynb"
    },
    "text": "The orientation parameter",
    "image": {
      "square": "_static/images/previews/examples/generated/square-y_orientation.png"
    }
  },
  "zooming": {
    "ref": {
      "nbviewer": "https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/zooming.ipynb"
    },
    "text": "Zooming map geometry with Lets-Plot",
    "image": {
      "square": "_static/images/previews/examples/generated/square-zooming.png"
    }
  }
}