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import streamlit as st | |
import pandas as pd | |
import altair as alt | |
data = pd.read_csv('https://raw.githubusercontent.com/UIUC-iSchool-DataViz/is445_data/main/licenses_fall2022.csv') | |
st.title("Licenses Dataset Analysis") | |
st.header("Vizualization 1: License Type") | |
viz1 = ( | |
alt.Chart(data) | |
.mark_bar() | |
.encode( | |
x = alt.X("count():Q", title="Number of Licenses"), | |
y = alt.Y("License Type:N", sort='-x', title="License Type"), | |
color = alt.Color("License Type:N", legend=None) | |
) | |
.properties(width=900, height=500) | |
) | |
st.altair_chart(viz1, use_container_width=False) | |
st.subheader("Vizualization 1 Write Up") | |
st.text( | |
""" | |
First, I choose to analyze the distribution of different license type. I used a bar graph and | |
sort the values to make the graph looks more clean. The graph did not use the container width | |
because it was too small to see the distribution of small numbers. The color just represents | |
different license type for a more clear view of the graph. | |
""" | |
) | |
st.header("Visualization 2: Issued Time") | |
data["Original Issue Date"] = pd.to_datetime(data["Original Issue Date"], errors="coerce") | |
viz2 = ( | |
alt.Chart(data) | |
.mark_line(point=True) | |
.encode( | |
x=alt.X("yearmonth(Original Issue Date):T", title = "Issue Date(Year Month)"), | |
y = alt.Y("count():Q", title="Number of License"), | |
color = alt.Color("License Type:N", legend=None) | |
) | |
.properties(width = 900, height=500) | |
) | |
st.altair_chart(viz2, use_container_width=False) | |
st.subheader("Vizualization 2 Write Up") | |
st.text( | |
""" | |
The line chart shows the number of license issued over the time. The color looks messy | |
but I think a way to seperate different license type is essential. I also did the same | |
for the use_container_width because I think a bigger graph could show the distribution better. | |
I used a line graph this time to show the trend of month. It is cool to see that there is a | |
straight line on Jan 1998. | |
""" | |
) | |