Commit `07fa226874`

07fa226874a2d6a9502926038714f91cb087bb03

parent: 1627615c29

Verified · cmc

cmc <hello@cleberg.net> · 2024-01-24 19:38 UTC

add line graph and date range selector

Layout: unified · split

README.md +3 −2

	@@ -1,4 +1,4 @@
1	# Omaha Incidents	1	# Omaha Crime Mapping & Analysis
2		2
3	Data from the Omaha police department, used to analyze and visualize statistics.	3	Data from the Omaha police department, used to analyze and visualize statistics.
4		4
	@@ -22,4 +22,5 @@ sqlite2rest serve ./raw_data/ingress.db
22		22
23	## Screenshots	23	## Screenshots
24		24
25	![](./screenshots/dashboard.png)	25	![](./screenshots/dashboard_01.png)
		26	![](./screenshots/dashboard_02.png)

app.py +69 −26

 from dash import Dash, html, dcc, callback, Output, Input, dash_table
 import plotly.express as px
 import pandas as pd
+import numpy as np
 import sqlite3
+from datetime import datetime, date
 # Connect to database and query all incidents
 connection = sqlite3.connect("./raw_data/ingress.db")
 query = "SELECT * FROM incidents;"
 df = pd.read_sql_query(query, connection).sort_values(by="description")
-# Create custom YEAR column to use in dropdown
+# Replace empty cells with NaN
-df['year'] = df['date'].str[-4:]
+df = df.replace(r'^\s*$', np.nan, regex=True)
+# Convert date column to datetime
+# TODO: Create a combined datetime column in the db to load/convert here
+df["date"] = pd.to_datetime(df["date"])
 # Configure HTML layout
 app = Dash(__name__)
 app.layout = html.Div(children = [
-    html.H1(children="Omaha Police Incidents", style={"textAlign":"center"}),
+    html.H1(children="Omaha Crime Mapping & Analysis", style={"textAlign":"center"}),
     html.Div([
-        html.H2(children="Totals per Category and Year", style={"textAlign":"center"}),
+        html.Div(className="flex",
-        dcc.Dropdown(df.sort_values("description").description.unique(), "INJURY", id="dropdown"),
+            children = [
-        dcc.Dropdown(df.sort_values("year").year.unique(), "2023", id="year-dropdown"),
+                html.P("Crime:"),
-        html.Hr(),
+                dcc.Dropdown(df.sort_values("description").description.unique(), "INJURY", id="dropdown"),
-        dash_table.DataTable(data=df.to_dict("records"), page_size=5, id="table"),
+            ]
-        html.H2(children="Map of Incidents per Category and Year", style={"textAlign":"center"}),
+        ),
-        dcc.Graph(id="map-graph")
+        html.Div(className="flex",
+            children = [
+                html.P("Date Range:"),
+                dcc.DatePickerRange(
+                    id='date-picker-range',
+                    min_date_allowed=date(2015, 1, 1),
+                    max_date_allowed=date(2023, 12, 31),
+                    start_date=date(2015, 1, 1),
+                    end_date=date(2023,12,31)
+                ),
+            ]
+        ),
+        dcc.Graph(id="map-graph"),
+        dcc.Graph(id="line-graph"),
+        dash_table.DataTable(data=df.to_dict("records"), page_size=5, id="table")
     ])
 ])
-# Create table
-@callback(
-    Output("table", "data"),
-    Input("dropdown", "value"),
-    Input("year-dropdown", "value")
-)
-def update_table(description, year):
-    dff = df[df.year == year]
-    dff = dff.reset_index()
-    dff = dff[dff.description == description]
-    return dff.to_dict("records")
 # Create map
 @callback(
     Output("map-graph", "figure"),
     Input("dropdown", "value"),
-    Input("year-dropdown", "value")
+    Input('date-picker-range', 'start_date'),
+    Input('date-picker-range', 'end_date')
 )
-def update_map(description, year):
+def update_map(description, start_date, end_date):
-    dff = df[df.year == year]
+    dff = df[(df['date'] > start_date) & (df['date'] < end_date)]
     dff = dff.reset_index()
     dff = dff[dff.description == description]
         dff,
         lat="lat",
         lon="lon",
-        color="description",
         hover_name="description",
         hover_data=["date", "time"],
         title="Incident Count by Coordinates",
     return fig
+# Create line graph
+@callback(
+    Output("line-graph", "figure"),
+    Input("dropdown", "value"),
+    Input('date-picker-range', 'start_date'),
+    Input('date-picker-range', 'end_date')
+)
+def update_line(description, start_date, end_date):
+    dff = df[(df['date'] > start_date) & (df['date'] < end_date)]
+    dff = dff.reset_index()
+    dff = dff[dff.description == description]
+    dff = dff.groupby(by="date").count()
+    dff = dff.reset_index()
+    fig = px.line(
+        dff,
+        x="date",
+        y="description",
+    )
+    return fig
+# Create table
+@callback(
+    Output("table", "data"),
+    Input("dropdown", "value"),
+    Input('date-picker-range', 'start_date'),
+    Input('date-picker-range', 'end_date')
+)
+def update_table(description, start_date, end_date):
+    dff = df[(df['date'] > start_date) & (df['date'] < end_date)]
+    dff = dff.reset_index()
+    dff = dff[dff.description == description]
+    return dff.to_dict("records")
 if __name__ == "__main__":
     app.run(debug=True)

assets/styles.css +28 −3

	@@ -4,6 +4,31 @@ body {
4	margin: 2rem auto;	4	margin: 2rem auto;
5	}	5	}
6		6
7	hr {	7	.dash-table-container {
8	margin: 1rem auto;	8	overflow: scroll;
9	}\ No newline at end of file	9	}
		10
		11	.dash-table-container,
		12	.dash-graph {
		13	margin: 2rem 0;
		14	max-width: 100%;
		15	}
		16
		17	.flex {
		18	display: flex;
		19	flex-direction: row;
		20	align-items: center;
		21	}
		22
		23	.flex p {
		24	margin-right: 1rem;
		25	flex-shrink: 0;
		26	}
		27
		28	.flex .dash-dropdown {
		29	width: 100%;
		30	}
		31
		32	.flex #date-picker-range {
		33	width: 100%;
		34	}

screenshots/dashboard.png deleted

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screenshots/dashboard_01.png added

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screenshots/dashboard_02.png added

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Commit 07fa226874

Commit `07fa226874`