Explore Data Statistics¶

In [1]:

import geolime as geo
from pyproj import CRS

import geolime as geo from pyproj import CRS

In [3]:

dh = geo.datasets.load("rocklea_dome/dh_hyper.geo")

dh = geo.datasets.load("rocklea_dome/dh_hyper.geo")

Global Analysis¶

In [4]:

geo.correlation_heatmap(geo_object=dh, width=650, height=650)

geo.correlation_heatmap(geo_object=dh, width=650, height=650)

In [5]:

geo.scatter_correlation(geo_object=dh, width=650, height=650)

geo.scatter_correlation(geo_object=dh, width=650, height=650)

Univariate Analysis¶

In [6]:

geo.histogram_plot(
    [{"object": dh, "property": "Fe_pct"}], 
    width=650, 
    height=400
)

geo.histogram_plot( [{"object": dh, "property": "Fe_pct"}], width=650, height=400 )

Bivariate Analysis¶

In [7]:

geo.density_heatmap(
    geo_object=dh, 
    property_x="Fe_pct", 
    property_y="Al2O3", 
    width=650, 
    height=400
)

geo.density_heatmap( geo_object=dh, property_x="Fe_pct", property_y="Al2O3", width=650, height=400 )

In [8]:

geo.scatter(
    geo_object=dh, 
    property_x="Fe_pct", 
    property_y="Al2O3", 
    width=650, 
    height=400
)

geo.scatter( geo_object=dh, property_x="Fe_pct", property_y="Al2O3", width=650, height=400 )

In [9]:

geo.scatter(
    geo_object=dh, 
    property_x="Fe_pct", 
    property_y="Al2O3", 
    marginal_plot="Histogram", 
    width=650, 
    height=650
)

geo.scatter( geo_object=dh, property_x="Fe_pct", property_y="Al2O3", marginal_plot="Histogram", width=650, height=650 )

In [10]:

geo.scatter(
    geo_object=dh, 
    property_x="Fe_pct", 
    property_y="SiO2_pct", 
    marginal_plot="DistributionCurve", 
    width=650, 
    height=650
)

geo.scatter( geo_object=dh, property_x="Fe_pct", property_y="SiO2_pct", marginal_plot="DistributionCurve", width=650, height=650 )

Multivariate Analysis¶

In [11]:

geo.histogram_plot(
    [
        {"object": dh, "property": "Fe_pct"},
        {"object": dh, "property": "Al2O3"}
    ], 
    width=650, 
    height=400,
    nbins=20
)

geo.histogram_plot( [ {"object": dh, "property": "Fe_pct"}, {"object": dh, "property": "Al2O3"} ], width=650, height=400, nbins=20 )

In [12]:

geo.scatter_matrix(
    geo_object=dh, 
    properties=["Fe_pct", "Al2O3", "SiO2_pct"], 
    width=650, 
    height=650
)

geo.scatter_matrix( geo_object=dh, properties=["Fe_pct", "Al2O3", "SiO2_pct"], width=650, height=650 )