Commit ·
01d2d76
1
Parent(s): 77f1587
format text
Browse files
app.py
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@@ -54,17 +54,29 @@ chart2 = alt.Chart(license_status_counts).mark_line().encode(
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st.title('Licenses Data Visualization')
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st.write("## Introduction")
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st.text(
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st.write("## Visualization 1: Distribution of License Types")
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st.altair_chart(chart1, use_container_width=True)
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st.text(
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st.write("## Visualization 2: License Status Over Time")
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st.altair_chart(chart2, use_container_width=True)
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st.text(
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st.title('Licenses Data Visualization')
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st.write("## Introduction")
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st.text("""
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This app provides visual insights into licensing data by focusing on the distribution of license types and
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tracking the trends of license statuses over time. The visualizations aim to simplify the exploration
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of the dataset and highlight key insights into how licenses are distributed and change year over year.
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""")
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st.write("## Visualization 1: Distribution of License Types")
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st.altair_chart(chart1, use_container_width=True)
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st.text("""
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This bar chart shows the distribution of the top 10 license types in the dataset. I chose a bar chart
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because it is effective for comparing categorical data like license types. The colors help to visually
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differentiate each category, and focusing on the top 10 types makes the chart more readable and
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less cluttered. If I had more time, I would add interactive tooltips to display additional
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information about each license type, such as the percentage of the total.
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""")
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st.write("## Visualization 2: License Status Over Time")
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st.altair_chart(chart2, use_container_width=True)
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st.text("""
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This line chart shows the number of licenses by key statuses over time.
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The chart helps to visualize trends in the renewal and activity status of licenses. I chose different colors
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for each status to make it easy to distinguish between them. Filtering for key statuses allows for a clearer
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view of the most important trends without overwhelming the viewer. If I had more time, I would include an option
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to filter by license type to see how specific types have changed over time.
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""")
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