[BUG]: Odd polygon in land layer, extending into Canada on US choropleth

Description

There is an odd band extending from the northwest US into Canada when making a US choropleth. You can see this in the official documentation. I think this stems from the GeoJSON file included in Plotly. The file is very out of date, by the way, with changes to Oglala Lakota County in South Dakota and the Kusilvak Census Area in Alaska not being represented.

I can hide this band in the Python version using visible=False when calling update_geos().

Screenshots/Video

Steps to reproduce

• Create a new Python file
• Paste in the unemployment example from https://plotly.com/python/choropleth-maps/
• Run the python file

Notes

The unemployment example is here for completeness' sake:

from urllib.request import urlopen
import json
with urlopen('https://raw.githubusercontent.com/plotly/datasets/master/geojson-counties-fips.json') as response:
    counties = json.load(response)

import pandas as pd
df = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/fips-unemp-16.csv",
                   dtype={"fips": str})

import plotly.express as px

fig = px.choropleth(df, geojson=counties, locations='fips', color='unemp',
                           color_continuous_scale="Viridis",
                           range_color=(0, 12),
                           scope="usa",
                           labels={'unemp':'unemployment rate'}
                          )
fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
fig.show()

Beginne mit dem Arbeitslosigkeits-Choroplethen-Beispiel und untersuche die referenzierte geojson-counties-fips.json aus dem Repository plotly/datasets. Vergleiche die Geometrie des Nordwestens und die Einträge für Oglala Lakota County und Kusilvak Census Area; abgeschlossen ist die Aufgabe, wenn das Beispiel das Band nicht mehr anzeigt und diese Änderungen an den Counties dargestellt werden.