qua605 commited on
Commit
0454fa1
·
1 Parent(s): bfd3c5f
Files changed (1) hide show
  1. app.py +11 -55
app.py CHANGED
@@ -1,65 +1,21 @@
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  import streamlit as st
 
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  import altair as alt
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- from vega_datasets import data
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-
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- st.title('Streamlit App for IS445: ID9518')
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- st.text("The URL for this app is: https://huggingface.co/spaces/fallinginfall65/is445_demo")
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- source = data.seattle_weather()
 
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- scale = alt.Scale(
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- domain=["sun", "fog", "drizzle", "rain", "snow"],
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- range=["#e7ba52", "#a7a7a7", "#aec7e8", "#1f77b4", "#9467bd"],
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- )
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- color = alt.Color("weather:N", scale=scale)
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-
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- # We create two selections:
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- # - a brush that is active on the top panel
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- # - a multi-click that is active on the bottom panel
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- brush = alt.selection_interval(encodings=["x"])
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- click = alt.selection_point(encodings=["color"])
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-
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- # Top panel is scatter plot of temperature vs time
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- points = (
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- alt.Chart()
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- .mark_point()
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- .encode(
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- alt.X("monthdate(date):T", title="Date (Month Year)"),
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- alt.Y(
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- "temp_max:Q",
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- title="Maximum Daily Temperature (C)",
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- scale=alt.Scale(domain=[-5, 40]),
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- ),
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- color=alt.condition(brush, color, alt.value("lightgray")),
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- size=alt.Size("precipitation:Q", scale=alt.Scale(range=[5, 200])),
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- )
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- .properties(width=550, height=300)
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- .add_params(brush)
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- .transform_filter(click)
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- )
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-
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- # Bottom panel is a bar chart of weather type
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- bars = (
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- alt.Chart()
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  .mark_bar()
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  .encode(
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- x="count()",
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- y="weather:N",
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- color=alt.condition(click, color, alt.value("lightgray")),
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- )
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- .transform_filter(brush)
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- .properties(
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- width=550,
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  )
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- .add_params(click)
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  )
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- chart = alt.vconcat(points, bars, data=source, title="Seattle Weather - 2019 to 2025")
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-
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- tab1, tab2 = st.tabs(["Streamlit theme (default)", "Altair native theme"])
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-
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- with tab1:
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- st.altair_chart(chart, theme="streamlit", use_container_width=True)
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- with tab2:
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- st.altair_chart(chart, theme=None, use_container_width=True)
 
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  import streamlit as st
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+ import pandas as pd
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  import altair as alt
 
 
 
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+ data = pd.read_csv('https://raw.githubusercontent.com/UIUC-iSchool-DataViz/is445_data/main/licenses_fall2022.csv')
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+ st.title("Licenses Dataset Analysis")
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+ st.header("Vizualization 1: License Type")
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+ viz1 = (
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+ alt.Chart(data)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  .mark_bar()
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  .encode(
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+ x = alt.X("count()Q", title="Number of Licenses"),
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+ y = alt.Y("Licenses Type:N", sort='-x', title="License Type"),
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+ color = alt.Color("License Type:N", legend=None)
 
 
 
 
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  )
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+ .properties(width=600, height=400)
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  )
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+ st.altair_chart(viz1, use_container_width=True)