Update src/streamlit_app.py
Browse files- src/streamlit_app.py +20 -33
src/streamlit_app.py
CHANGED
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@@ -15,54 +15,41 @@ st.markdown("""
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.title {
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text-align: center;
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padding: 25px;
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}
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/*
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/*
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margin-top: 1.5em;
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margin-bottom: 0.5em;
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}
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/* PARAGRAPHS */
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p, .stMarkdown p {
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font-size: 18px; /* comfortable reading size */
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line-height: 1.6; /* good line spacing */
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color: #4b4b4b; /* slightly lighter grey */
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max-width: 800px; /* prevent overly long lines */
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margin: 0.75em auto; /* vertical spacing, centered */
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padding: 0 10px; /* small side padding */
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}
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/* OPTIONAL: a helper class for even tighter control */
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.writeup {
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max-width: 700px;
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margin: 1em auto;
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padding: 0 15px;
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}
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</style>
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""", unsafe_allow_html=True)
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st.markdown("<div class='title'><h1> LAPD Crime Insights Dashboard </h1></div>", unsafe_allow_html=True)
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# 1. Page title
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st.markdown(""" This application provides a suite of interactive visualizations—pie charts,
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# 2. Data info & load
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st.header("Dataset Information")
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st.markdown(
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"""
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- **Source:** LAPD crime incidents dataset
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- **Rows:** incidents (one per row)
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- **Columns:** e.g. `crm_cd_desc` (crime type), `arrest` (boolean), `date`, `location_description`, etc.
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- **Purpose:** Interactive exploration of top crime categories and arrest rates.
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-
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)
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# 1. Resolve the path to the CSV next to this script
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.title {
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text-align: center;
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padding: 25px;
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color: #2c3e50;
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font-family: 'Source Sans Pro', sans-serif;
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}
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/* Paragraph/write-up styling */
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.description {
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max-width: 800px; /* prevent super long lines */
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margin: 0 auto; /* center the block */
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font-size: 18px; /* comfortable reading size */
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line-height: 1.6; /* good spacing */
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color: #4b4b4b; /* dark grey text */
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text-align: justify; /* nice full-justified look */
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padding: 0 10px 20px; /* side & bottom padding */
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font-family: 'Helvetica Neue', Arial, sans-serif;
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}
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</style>
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""", unsafe_allow_html=True)
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st.markdown("<div class='title'><h1> LAPD Crime Insights Dashboard </h1></div>", unsafe_allow_html=True)
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# 1. Page title
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st.markdown(""" <div class='description'> This application provides a suite of interactive visualizations—pie charts,
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bar charts, scatter plots, and more—that let you explore crime patterns in the LAPD dataset from multiple angles.
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Quickly see which offense categories dominate, compare arrest rates against non-arrests, track how crime volumes change over time, and examine geographic hotspots.
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These insights can help police departments, community organizations, and policymakers allocate resources more effectively and
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design targeted strategies to improve public safety. </div>""")
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# 2. Data info & load
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st.header("Dataset Information")
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st.markdown(
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"""
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- **Source:** LAPD crime incidents dataset
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- **Rows:** incidents (one per row)
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- **Columns:** e.g. `crm_cd_desc` (crime type), `arrest` (boolean), `date`, `location_description`, etc.
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- **Purpose:** Interactive exploration of top crime categories and arrest rates.
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"""
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)
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# 1. Resolve the path to the CSV next to this script
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