Commit ·
290ce05
1
Parent(s): 5dd9543
thinking about writeup
Browse files
app.py
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@@ -22,6 +22,15 @@ st.markdown('''Explore the electric vehicle data interactively using this dashbo
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This dashboard helps experts and stakeholders understand the distribution and characteristics of electric vehicles
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in various counties and cities.''')
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county_list = ev_data['County'].unique()
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make_list = ev_data['Make'].unique()
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@@ -120,23 +129,3 @@ st.pydeck_chart(pdk.Deck(
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}
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}
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))
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st.markdown('''### How to Use This Dashboard
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To explore the dataset, use the sidebar options to filter by county and make. The filtered dataset is displayed in the
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table, and corresponding charts will help you explore the distribution of electric vehicle types, their electric ranges,
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and model years. The map also provides a visualization of the locations of the vehicles in the selected county.
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All charts are interactive. You can click on bars to highlight corresponding data points in other charts, making it easier to discover patterns and relationships.
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The map is also interactive; you can zoom in, rotate, and click on points to see additional information about each vehicle.''')
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st.markdown('''### Contextual Datasets
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A potentially useful contextual dataset could be the [Electric Charging Stations Locations](https://afdc.energy.gov/fuels/electricity_locations.html).
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This dataset will provide information about the availability of charging stations in each county, allowing for a deeper
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analysis of the convenience and accessibility of electric vehicles in different regions.
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''')
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st.markdown('''### Dataset Size
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This dataset is not larger than the GitHub file upload limit, so there is no need to revise the plan for hosting this data.
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''')
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This dashboard helps experts and stakeholders understand the distribution and characteristics of electric vehicles
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in various counties and cities.''')
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st.markdown('''### How to Use This Dashboard
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To explore the dataset, use the sidebar options to filter by county and make. The filtered dataset is displayed in the
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table, and corresponding charts will help you explore the distribution of electric vehicle types, their electric ranges,
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and model years. The map also provides a visualization of the locations of the vehicles in the selected county.
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All charts are interactive. You can click on bars to highlight corresponding data points in other charts, making it easier to discover patterns and relationships.
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The map is also interactive; you can zoom in, rotate, and click on points to see additional information about each vehicle.''')
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county_list = ev_data['County'].unique()
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make_list = ev_data['Make'].unique()
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}
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}
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))
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