Create app.py

app.py

@@ -0,0 +1,113 @@
+import dash
+from dash import dcc, html, Input, Output
+import pandas as pd
+import plotly.express as px
+
+# Load the data
+def load_data():
+    file_path = 'digital_identity_data.xlsx'
+    return pd.read_excel(file_path)
+
+data = load_data()
+
+# Initialize Dash app
+app = dash.Dash(__name__)
+app.title = "Digital Identity Dashboard"
+
+# Layout
+def generate_layout():
+    return html.Div([
+        html.H1("Digital Identity Dashboard", style={"textAlign": "center"}),
+
+        html.Div([
+            html.Label("Select Countries:"),
+            dcc.Checklist(
+                id="country-filter",
+                options=[{"label": country, "value": country} for country in data["Country"].unique()],
+                value=data["Country"].unique().tolist(),
+                inline=True
+            ),
+
+            html.Label("Select Genders:"),
+            dcc.Checklist(
+                id="gender-filter",
+                options=[{"label": gender, "value": gender} for gender in data["Gender"].unique()],
+                value=data["Gender"].unique().tolist(),
+                inline=True
+            ),
+
+            html.Label("Select Account Status:"),
+            dcc.Checklist(
+                id="status-filter",
+                options=[{"label": status, "value": status} for status in data["Account Status"].unique()],
+                value=data["Account Status"].unique().tolist(),
+                inline=True
+            ),
+        ], style={"marginBottom": "20px"}),
+
+        html.Div(id="filtered-data-table"),
+
+        html.Div([
+            dcc.Graph(id="logins-by-country"),
+            dcc.Graph(id="session-duration-by-gender")
+        ], style={"display": "flex", "flexWrap": "wrap"}),
+
+        html.Div([
+            dcc.Graph(id="data-breaches-by-country"),
+            dcc.Graph(id="two-fa-usage")
+        ], style={"display": "flex", "flexWrap": "wrap"})
+    ])
+
+app.layout = generate_layout
+
+# Callbacks for filtering data and updating graphs
+@app.callback(
+    [Output("logins-by-country", "figure"),
+     Output("session-duration-by-gender", "figure"),
+     Output("data-breaches-by-country", "figure"),
+     Output("two-fa-usage", "figure"),
+     Output("filtered-data-table", "children")],
+    [Input("country-filter", "value"),
+     Input("gender-filter", "value"),
+     Input("status-filter", "value")]
+)
+def update_dashboard(selected_countries, selected_genders, selected_statuses):
+    # Filter data
+    filtered_data = data[
+        (data["Country"].isin(selected_countries)) &
+        (data["Gender"].isin(selected_genders)) &
+        (data["Account Status"].isin(selected_statuses))
+    ]
+
+    # Logins by country
+    logins_by_country = filtered_data.groupby("Country")["Number of Logins"].sum().reset_index()
+    fig1 = px.bar(logins_by_country, x="Country", y="Number of Logins", title="Logins by Country", color="Country")
+
+    # Session duration by gender
+    session_duration_by_gender = filtered_data.groupby("Gender")["Session Duration (Minutes)"].mean().reset_index()
+    fig2 = px.bar(session_duration_by_gender, x="Gender", y="Session Duration (Minutes)", title="Session Duration by Gender", color="Gender")
+
+    # Data breaches by country
+    fig3 = px.pie(filtered_data, names="Country", values="Data Breaches Reported", title="Data Breaches by Country")
+
+    # 2FA usage
+    two_fa_usage = filtered_data["2FA Enabled"].value_counts().reset_index()
+    two_fa_usage.columns = ["2FA Enabled", "Count"]
+    fig4 = px.pie(two_fa_usage, names="2FA Enabled", values="Count", title="2FA Usage")
+
+    # Filtered data table
+    table_html = html.Div([
+        html.H3("Filtered Data Table"),
+        dash.dash_table.DataTable(
+            data=filtered_data.to_dict('records'),
+            columns=[{"name": i, "id": i} for i in filtered_data.columns],
+            page_size=10,
+            style_table={"overflowX": "auto"}
+        )
+    ])
+
+    return fig1, fig2, fig3, fig4, table_html
+
+# Run app
+if __name__ == "__main__":
+    app.run_server(debug=True)