Create App.py

App.py

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+import streamlit as st
+import pandas as pd
+
+# Set Streamlit theme
+st.set_page_config(page_title="Power BI-like Dashboard", page_icon=":chart_with_upwards_trend:")
+
+# Upload CSV file
+uploaded_file = st.file_uploader("Choose a CSV file", type="csv")
+
+# Custom CSS styles
+custom_styles = """
+    body {
+        background-color: #f4f4f4;
+    }
+    .css-1k6zjxx {
+        max-width: none;
+    }
+"""
+
+# Apply custom CSS
+st.markdown(f'<style>{custom_styles}</style>', unsafe_allow_html=True)
+
+if uploaded_file is not None:
+    # Read data from CSV
+    df = pd.read_csv(uploaded_file)
+
+    # Display raw data in compact layout
+    st.subheader("Raw Data")
+    st.dataframe(df, height=400)
+
+    # Basic statistics in compact layout
+    st.subheader("Basic Statistics")
+    st.dataframe(df.describe(), height=200)
+
+    # Select columns for analysis
+    selected_columns = st.multiselect("Select columns for analysis", df.columns)
+
+    if selected_columns:
+        # Line chart in compact layout
+        st.subheader("Line Chart")
+        st.line_chart(df[selected_columns], use_container_width=True)
+
+        # Bar chart in compact layout
+        st.subheader("Bar Chart")
+        st.bar_chart(df[selected_columns], use_container_width=True)
+
+        # Area chart in compact layout
+        st.subheader("Area Chart")
+        st.area_chart(df[selected_columns], use_container_width=True)
+
+        # Interactive table in compact layout
+        st.subheader("Interactive Table")
+        st.dataframe(df[selected_columns], height=400)