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Browse files- apps/deck.py +1 -0
- apps/housing.py +5 -5
- multiapp.py +4 -3
apps/deck.py
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@@ -5,6 +5,7 @@ def app():
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import pydeck as pdk
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DATA_URL = "https://raw.githubusercontent.com/visgl/deck.gl-data/master/examples/geojson/vancouver-blocks.json"
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LAND_COVER = [
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[[-123.0, 49.196], [-123.0, 49.324], [-123.306, 49.324], [-123.306, 49.196]]
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import pydeck as pdk
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st.title("Property values in Vancouver, Canada")
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DATA_URL = "https://raw.githubusercontent.com/visgl/deck.gl-data/master/examples/geojson/vancouver-blocks.json"
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LAND_COVER = [
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[[-123.0, 49.196], [-123.0, 49.324], [-123.306, 49.324], [-123.306, 49.196]]
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apps/housing.py
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@@ -8,9 +8,7 @@ import pydeck as pdk
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import geopandas as gpd
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import streamlit as st
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import leafmap.colormaps as cm
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from leafmap.common import to_hex_colors, hex_to_rgb
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import matplotlib as mpl
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STREAMLIT_STATIC_PATH = pathlib.Path(st.__path__[0]) / "static"
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@@ -208,8 +206,10 @@ def app():
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st.title("Real Estate Data and Market Trends")
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st.markdown(
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"""
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"""
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)
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import geopandas as gpd
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import streamlit as st
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import leafmap.colormaps as cm
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from leafmap.common import hex_to_rgb
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STREAMLIT_STATIC_PATH = pathlib.Path(st.__path__[0]) / "static"
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st.title("Real Estate Data and Market Trends")
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st.markdown(
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"""**Introduction:** This interactive dashboard is designed for visualizing U.S. real estate data and market trends at multiple levels (i.e., national,
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state, county, and metro). The data sources include [Real Estate Data](https://www.realtor.com/research/data) from realtor.com and
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[Cartographic Boundary Files](https://www.census.gov/geographies/mapping-files/time-series/geo/carto-boundary-file.html) from the U.S. Census Bureau.
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Several open-source packages are used to process the data and generate the visualizations, such as [streamlit](https://streamlit.io), [geopandas](https://geopandas.org), [leafmap](https://leafmap.org), and [pydeck](https://deckgl.readthedocs.io).
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"""
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)
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multiapp.py
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@@ -64,16 +64,17 @@ class MultiApp:
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st.sidebar.title("Contribute")
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st.sidebar.info(
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"This an open source project and you are very welcome to
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"comments, questions, resources and apps as "
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"[issues](https://github.com/giswqs/streamlit-geospatial/issues)
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"[pull requests](https://github.com/giswqs/streamlit-geospatial/pulls) "
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"to the [source code](https://github.com/giswqs/streamlit-geospatial). "
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)
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st.sidebar.title("About")
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st.sidebar.info(
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"""
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This app is maintained by Qiusheng Wu. You can learn more about me at
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[wetlands.io](https://wetlands.io) | [GitHub](https://github.com/giswqs) | [Twitter](https://twitter.com/giswqs) | [YouTube](https://www.youtube.com/c/QiushengWu).
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"""
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)
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st.sidebar.title("Contribute")
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st.sidebar.info(
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"This is an open source project and you are very welcome to contribute your "
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"comments, questions, resources and apps as "
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"[issues](https://github.com/giswqs/streamlit-geospatial/issues) or "
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"[pull requests](https://github.com/giswqs/streamlit-geospatial/pulls) "
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"to the [source code](https://github.com/giswqs/streamlit-geospatial). "
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)
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st.sidebar.title("About")
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st.sidebar.info(
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"""
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This web [app](https://gishub.org/streamlit-geospatial) is maintained by Qiusheng Wu. You can learn more about me at
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[wetlands.io](https://wetlands.io) | [GitHub](https://github.com/giswqs) | [Twitter](https://twitter.com/giswqs) | [YouTube](https://www.youtube.com/c/QiushengWu).
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"""
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)
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