:orphan: :html_theme.sidebar_secondary.remove: .. This document is auto-generated by the altair-gallery extension. Do not modify directly. .. _gallery_natural_disasters: Global Deaths from Natural Disasters ------------------------------------ This example shows a proportional symbols visualization of deaths from natural disasters by year and type. .. altair-plot:: :remove-code: import altair as alt from vega_datasets import data source = data.disasters.url alt.Chart(source).transform_filter( alt.datum.Entity != 'All natural disasters' ).mark_circle( opacity=0.8, stroke='black', strokeWidth=1, strokeOpacity=0.4 ).encode( x=alt.X('Year:T', title=None, scale=alt.Scale(domain=['1899','2018'])), y=alt.Y( 'Entity:N', sort=alt.EncodingSortField(field="Deaths", op="sum", order='descending'), title=None ), size=alt.Size('Deaths:Q', scale=alt.Scale(range=[0, 2500]), legend=alt.Legend(title='Deaths', clipHeight=30, format='s') ), color=alt.Color('Entity:N', legend=None), tooltip=[ "Entity:N", alt.Tooltip("Year:T", format='%Y'), alt.Tooltip("Deaths:Q", format='~s') ], ).properties( width=450, height=320, title=alt.Title( text="Global Deaths from Natural Disasters (1900-2017)", subtitle="The size of the bubble represents the total death count per year, by type of disaster", anchor='start' ) ).configure_axisY( domain=False, ticks=False, offset=10 ).configure_axisX( grid=False, ).configure_view( stroke=None ) .. tab-set:: .. tab-item:: Method syntax :sync: method .. code:: python import altair as alt from vega_datasets import data source = data.disasters.url alt.Chart(source).transform_filter( alt.datum.Entity != 'All natural disasters' ).mark_circle( opacity=0.8, stroke='black', strokeWidth=1, strokeOpacity=0.4 ).encode( alt.X('Year:T') .title(None) .scale(domain=['1899','2018']), alt.Y('Entity:N') .title(None) .sort(field="Deaths", op="sum", order='descending'), alt.Size('Deaths:Q') .scale(range=[0, 2500]) .title('Deaths') .legend(clipHeight=30, format='s'), alt.Color('Entity:N').legend(None), tooltip=[ "Entity:N", alt.Tooltip("Year:T", format='%Y'), alt.Tooltip("Deaths:Q", format='~s') ], ).properties( width=450, height=320, title=alt.Title( text="Global Deaths from Natural Disasters (1900-2017)", subtitle="The size of the bubble represents the total death count per year, by type of disaster", anchor='start' ) ).configure_axisY( domain=False, ticks=False, offset=10 ).configure_axisX( grid=False, ).configure_view( stroke=None ) .. tab-item:: Attribute syntax :sync: attribute .. code:: python import altair as alt from vega_datasets import data source = data.disasters.url alt.Chart(source).transform_filter( alt.datum.Entity != 'All natural disasters' ).mark_circle( opacity=0.8, stroke='black', strokeWidth=1, strokeOpacity=0.4 ).encode( x=alt.X('Year:T', title=None, scale=alt.Scale(domain=['1899','2018'])), y=alt.Y( 'Entity:N', sort=alt.EncodingSortField(field="Deaths", op="sum", order='descending'), title=None ), size=alt.Size('Deaths:Q', scale=alt.Scale(range=[0, 2500]), legend=alt.Legend(title='Deaths', clipHeight=30, format='s') ), color=alt.Color('Entity:N', legend=None), tooltip=[ "Entity:N", alt.Tooltip("Year:T", format='%Y'), alt.Tooltip("Deaths:Q", format='~s') ], ).properties( width=450, height=320, title=alt.Title( text="Global Deaths from Natural Disasters (1900-2017)", subtitle="The size of the bubble represents the total death count per year, by type of disaster", anchor='start' ) ).configure_axisY( domain=False, ticks=False, offset=10 ).configure_axisX( grid=False, ).configure_view( stroke=None )