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analysis_dashboard.csv

@@ -0,0 +1,25 @@
+,charge,status,race_distribution_dict
+0,11351,filed,"{'Hispanic': 1547, 'Black or African American': 674, 'White': 274, '': 23, 'Unknown/Other': 22, 'Chinese': 16, 'Filipino': 16, 'Pacific Islander': 9, 'Other Asian': 7, 'Vietnamese': 5, 'Native American': 3, 'Korean': 3, 'Laotian': 2, 'Cambodian': 2, 'Japanese': 1}"
+1,11351,booked,"{'Hispanic': 1918, 'Black or African American': 754, 'White': 329, '': 49, 'Unknown/Other': 35, 'Filipino': 19, 'Chinese': 17, 'Pacific Islander': 9, 'Other Asian': 9, 'Native American': 6, 'Vietnamese': 5, 'Laotian': 3, 'Cambodian': 3, 'Korean': 2, 'Japanese': 1}"
+2,11351,convicted,"{'Hispanic': 494, 'Black or African American': 355, 'White': 136, 'Chinese': 9, 'Filipino': 8, 'Unknown/Other': 7, '': 4, 'Pacific Islander': 4, 'Korean': 3, 'Vietnamese': 3, 'Laotian': 2, 'Japanese': 1, 'Native American': 1, 'Other Asian': 1}"
+3,11351,1385 PC - Guilty Plea to Other Charge,"{'Hispanic': 307, 'Black or African American': 71, 'White': 40, '': 2, 'Vietnamese': 1, 'Unknown/Other': 1, 'Filipino': 1}"
+4,11351.5,filed,"{'Hispanic': 1216, 'Black or African American': 334, 'White': 128, '': 15, 'Unknown/Other': 12, 'Filipino': 8, 'Vietnamese': 5, 'Pacific Islander': 4, 'Chinese': 3, 'Laotian': 2, 'Japanese': 1, 'Native American': 1}"
+5,11351.5,booked,"{'Hispanic': 1469, 'Black or African American': 364, 'White': 153, '': 26, 'Unknown/Other': 20, 'Filipino': 8, 'Vietnamese': 5, 'Chinese': 4, 'Pacific Islander': 4, 'Native American': 3, 'Laotian': 3, 'Japanese': 1}"
+6,11351.5,convicted,"{'Hispanic': 390, 'Black or African American': 174, 'White': 62, 'Filipino': 6, 'Unknown/Other': 4, 'Vietnamese': 3, '': 2, 'Laotian': 2, 'Japanese': 1, 'Pacific Islander': 1}"
+7,11351.5,1385 PC - Guilty Plea to Other Charge,"{'Hispanic': 247, 'Black or African American': 35, 'White': 25, 'Vietnamese': 1, 'Unknown/Other': 1, 'Filipino': 1, '': 1}"
+8,11352,filed,"{'Hispanic': 794, 'Black or African American': 273, 'White': 71, '': 18, 'Unknown/Other': 16, 'Chinese': 7, 'Filipino': 5, 'Pacific Islander': 4, 'Other Asian': 4, 'Vietnamese': 2, 'Japanese': 1, 'Korean': 1, 'Cambodian': 1}"
+9,11352,booked,"{'Hispanic': 1019, 'Black or African American': 320, 'White': 99, '': 36, 'Unknown/Other': 26, 'Chinese': 11, 'Filipino': 8, 'Other Asian': 5, 'Pacific Islander': 4, 'Japanese': 1, 'Vietnamese': 1, 'Korean': 1, 'Cambodian': 1, 'Laotian': 1}"
+10,11352,convicted,"{'Hispanic': 288, 'Black or African American': 131, 'White': 33, 'Unknown/Other': 6, '': 3, 'Filipino': 3, 'Chinese': 2, 'Japanese': 1, 'Pacific Islander': 1, 'Vietnamese': 1, 'Other Asian': 1, 'Korean': 1}"
+11,11352,1385 PC - Guilty Plea to Other Charge,"{'Hispanic': 137, 'Black or African American': 22, 'White': 9, 'Vietnamese': 1, 'Unknown/Other': 1, '': 1}"
+12,11375,filed,"{'Black or African American': 239, 'Hispanic': 64, 'White': 57, 'Chinese': 10, 'Filipino': 4, 'Pacific Islander': 3, 'Other Asian': 3, '': 2, 'Unknown/Other': 2, 'Korean': 1}"
+13,11375,booked,"{'Black or African American': 210, 'Hispanic': 77, 'White': 56, 'Chinese': 7, '': 5, 'Unknown/Other': 4, 'Other Asian': 3, 'Filipino': 3, 'Pacific Islander': 2, 'Korean': 1, 'Middle Eastern': 1}"
+14,11375,convicted,"{'Black or African American': 109, 'White': 29, 'Hispanic': 20, 'Chinese': 4, 'Pacific Islander': 2, 'Unknown/Other': 2, 'Filipino': 2, '': 1}"
+15,11375,1385 PC - Guilty Plea to Other Charge,"{'Black or African American': 30, 'Hispanic': 7, 'White': 4, 'Korean': 1}"
+16,11378,filed,"{'Hispanic': 956, 'White': 412, 'Black or African American': 365, 'Filipino': 37, 'Pacific Islander': 14, 'Chinese': 13, 'Other Asian': 13, 'Unknown/Other': 12, '': 7, 'Vietnamese': 6, 'Cambodian': 4, 'Korean': 3, 'Native American': 2, 'Indian': 1}"
+17,11378,booked,"{'Hispanic': 1195, 'White': 493, 'Black or African American': 414, 'Filipino': 43, '': 31, 'Unknown/Other': 21, 'Pacific Islander': 15, 'Chinese': 14, 'Other Asian': 11, 'Vietnamese': 6, 'Native American': 5, 'Cambodian': 5, 'Korean': 4, 'Indian': 1, 'Laotian': 1}"
+18,11378,convicted,"{'Hispanic': 304, 'White': 205, 'Black or African American': 190, 'Filipino': 20, 'Pacific Islander': 10, 'Chinese': 6, 'Unknown/Other': 5, 'Other Asian': 5, 'Korean': 3, 'Cambodian': 3, '': 1, 'Vietnamese': 1}"
+19,11378,1385 PC - Guilty Plea to Other Charge,"{'Hispanic': 180, 'White': 48, 'Black or African American': 38, 'Filipino': 3, 'Pacific Islander': 1, 'Vietnamese': 1, '': 1, 'Other Asian': 1}"
+20,11351|11351.5|11352|11375|11378,filed,"{'Hispanic': 1905, 'Black or African American': 900, 'White': 528, 'Filipino': 44, '': 43, 'Unknown/Other': 31, 'Chinese': 26, 'Pacific Islander': 22, 'Other Asian': 18, 'Vietnamese': 10, 'Cambodian': 6, 'Korean': 5, 'Native American': 3, 'Laotian': 2, 'Japanese': 1, 'Indian': 1}"
+21,11351|11351.5|11352|11375|11378,booked,"{'Hispanic': 2360, 'Black or African American': 1024, 'White': 641, '': 105, 'Filipino': 52, 'Unknown/Other': 45, 'Chinese': 29, 'Pacific Islander': 23, 'Other Asian': 18, 'Vietnamese': 10, 'Cambodian': 7, 'Native American': 7, 'Korean': 6, 'Laotian': 3, 'Japanese': 1, 'Indian': 1, 'Middle Eastern': 1}"
+22,11351|11351.5|11352|11375|11378,convicted,"{'Hispanic': 630, 'Black or African American': 458, 'White': 251, 'Filipino': 23, 'Pacific Islander': 14, 'Chinese': 13, 'Unknown/Other': 10, '': 7, 'Other Asian': 6, 'Korean': 4, 'Vietnamese': 3, 'Cambodian': 3, 'Laotian': 2, 'Japanese': 1, 'Native American': 1}"
+23,11351|11351.5|11352|11375|11378,1385 PC - Guilty Plea to Other Charge,"{'Hispanic': 367, 'Black or African American': 89, 'White': 65, '': 4, 'Filipino': 3, 'Vietnamese': 2, 'Pacific Islander': 1, 'Unknown/Other': 1, 'Other Asian': 1, 'Korean': 1}"

app.py

@@ -0,0 +1,90 @@
+import inspect
+import textwrap
+
+import streamlit as st
+
+from demo_echarts import ST_DEMOS
+from demo_pyecharts import ST_PY_DEMOS
+from streamlit_echarts import JsCode
+from streamlit_echarts import st_echarts
+import pandas as pd
+import folium
+from streamlit_folium import st_folium, folium_static
+import json
+from branca.colormap import LinearColormap
+import random
+import os.path
+import requests
+import geopandas
+import branca
+import ast
+
+
+
+
+
+def main():
+    st.title("California Racial Justice Act")
+    
+    st.divider()
+    
+    with st.sidebar:
+        toggle = ("11351","11351.5","11352","11375","11378")
+        
+        ch = st.selectbox(
+            label="Select Type",
+            options=toggle,
+        )
+        status_options = ('filed','booked','convicted','1385 PC - Guilty Plea to Other Charge')
+        stage = st.selectbox(
+            label="Select stage",
+            options=status_options,
+        )
+        
+
+    df = pd.read_csv("analysis_dashboard.csv")
+    df["race_distribution_dict"] = df["race_distribution_dict"].apply(lambda x: ast.literal_eval(x))
+    fil = df[(df['status'] == stage) & (df['charge'] == ch)]
+    st.markdown("Selected Charge - **"+ch+"**")
+    options = {
+        "tooltip": {"trigger": "item", "axisPointer": {"type": "shadow"}, "order" : "valueDesc"},
+        "legend": {"type" : "plain", "top" : 2,
+                   "textStyle": {"fontSize" : 18, 'color' : 'white' }
+                  },
+        "grid": {"left": "3%", "right": "4%", "bottom": "3%", "containLabel": True},
+        "xAxis": {},
+        "yAxis": {
+            "axisLabel" : {
+                 "fontWeight" : "bolder",
+                 "fontSize" : 18,
+                "color": "white"
+            },
+            "data": list(fil["race_distribution_dict"].iloc[0].keys())
+        },
+        
+        
+        "series": [
+            {
+                "name": "Annual Eligible Caseload",
+                "type": "bar",
+                "stack": "total",
+                "label": {
+                    "show": True,
+                    "position" : "center",
+                    "color" : "white"
+                         },
+                "data": list(fil["race_distribution_dict"].iloc[0].values()),
+            },
+            
+        ],
+        }
+    st_echarts(options=options, height="500px")
+
+
+       
+if __name__ == "__main__":
+    st.set_page_config(
+        page_title="RJA", page_icon=":chart_with_upwards_trend:"
+    )
+    main()
+