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import streamlit as st
import plotly.express as px
import pandas as pd
from services.api import fetch_data
def render_dashboard():
st.sidebar.subheader("Select Analysis")
analysis_option = st.sidebar.selectbox(
"Choose an analysis type:", [
"Employee Satisfaction",
"Department Performance",
"Training Analytics",
"Engagement vs Performance",
"Cost-Benefit Analysis",
"Training Effectiveness",
"Diversity & Inclusion",
"Work-Life Balance Impact",
"Career Development"
]
)
# API endpoint mapping
endpoint_mapping = {
"Employee Satisfaction": "/satisfaction-analysis",
"Department Performance": "/department-performance",
"Training Analytics": "/training-analytics",
"Engagement vs Performance": "/engagement-performance-correlation",
"Cost-Benefit Analysis": "/cost-benefit-analysis",
"Training Effectiveness": "/training-effectiveness",
"Diversity & Inclusion": "/diversity-dashboard",
"Work-Life Balance Impact": "/worklife-balance-impact",
"Career Development": "/career-development"
}
# Fetch data
data = fetch_data(endpoint_mapping[analysis_option])
if data is None:
st.error("Failed to fetch data.")
return
st.title(f"📊 {analysis_option}")
# Correlation metric
if isinstance(data, dict) and "correlation_coefficient" in data:
st.metric("Correlation Coefficient", data["correlation_coefficient"])
return
# Display DataFrame
if isinstance(data, pd.DataFrame) and not data.empty:
st.dataframe(data)
# Generate visualization
fig = None
if analysis_option == "Employee Satisfaction":
fig = px.bar(data, x="DepartmentType", y="Satisfaction Score",
title="Satisfaction Score by Department", color="DepartmentType")
elif analysis_option == "Department Performance":
fig = px.line(data, x="DepartmentType", y=["Performance Score", "Current Employee Rating"],
title="Departmental Performance Trends", markers=True)
elif analysis_option == "Training Analytics":
fig = px.bar(data, x="Training Program Name", y="Training Outcome",
title="Training Participation by Program", color="Training Program Name")
elif analysis_option == "Cost-Benefit Analysis":
fig = px.scatter(data, x="DepartmentType", y="ROI", title="ROI by Department", size="ROI")
elif analysis_option == "Training Effectiveness":
fig = px.bar(data, x="Training Program Name", y="Performance Score",
title="Training Effectiveness by Program", color="Training Program Name")
elif analysis_option == "Diversity & Inclusion":
fig = px.bar(data, x="Category", y="Count", color="Group",
title="Diversity & Inclusion Breakdown", barmode="stack")
elif analysis_option == "Career Development":
fig = px.histogram(data, x="Career Movements", title="Career Progression Histogram")
# Display chart
if fig:
st.plotly_chart(fig)
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