Update app.py

app.py

@@ -46,36 +46,36 @@ st.write(f"Your selected hobbies are: {', '.join(hobbies)}")
 
 
 # CSV File Upload and Display
-import streamlit as st
-import pandas as pd
-# import matplotlib.pyplot as plt
-import plotly.express as px
+# import streamlit as st
+# import pandas as pd
+# # import matplotlib.pyplot as plt
+# import plotly.express as px
 
-st.title("CSV File Upload and Display")
+# st.title("CSV File Upload and Display")
 
-# File uploader
-uploaded_file = st.file_uploader("Upload a CSV file", type=["csv"])
+# # File uploader
+# uploaded_file = st.file_uploader("Upload a CSV file", type=["csv"])
 
-if uploaded_file:
-    # Read the uploaded file
-    data = pd.read_csv(uploaded_file)
+# if uploaded_file:
+#     # Read the uploaded file
+#     data = pd.read_csv(uploaded_file)
 
-    # Display the data preview
-    st.write("Data Preview:")
-    st.dataframe(data)
+#     # Display the data preview
+#     st.write("Data Preview:")
+#     st.dataframe(data)
 
-    # Display data statistics
-if uploaded_file:
-    st.write("Data Statistics:")
-    st.write(data.describe())
+#     # Display data statistics
+# if uploaded_file:
+#     st.write("Data Statistics:")
+#     st.write(data.describe())
 
-    # Display a line and Bar chart
-if uploaded_file:
-    st.write("Line Chart Example:")
-    st.line_chart(data)
+#     # Display a line and Bar chart
+# if uploaded_file:
+#     st.write("Line Chart Example:")
+#     st.line_chart(data)
     
-    st.write("Bar Chart Example:")
-    st.bar_chart(data)
+#     st.write("Bar Chart Example:")
+#     st.bar_chart(data)
 
     # st.write("Custom Matplotlib Chart")
 
@@ -85,12 +85,12 @@ if uploaded_file:
     # st.pyplot(fig)
 
       # User selects x and y axes
-    x_axis = st.selectbox("Choose X-axis:", data.columns)
-    y_axis = st.selectbox("Choose Y-axis:", data.columns)
+    # x_axis = st.selectbox("Choose X-axis:", data.columns)
+    # y_axis = st.selectbox("Choose Y-axis:", data.columns)
 
-    # Generate scatter plot
-    fig = px.scatter(data, x=x_axis, y=y_axis, title="Scatter Plot")
-    st.plotly_chart(fig)
+    # # Generate scatter plot
+    # fig = px.scatter(data, x=x_axis, y=y_axis, title="Scatter Plot")
+    # st.plotly_chart(fig)
 
 
 
@@ -118,4 +118,33 @@ if uploaded_file:
 #     st.plotly_chart(fig)
 
 
-    
+
+import streamlit as st
+import pandas as pd
+import plotly.express as px
+
+st.title("Dashboard Example")
+
+# File uploader
+uploaded_file = st.file_uploader("Upload CSV for Dashboard", type=["csv"])
+
+if uploaded_file:
+    data = pd.read_csv(uploaded_file)
+    st.sidebar.title("Dashboard Controls")
+
+    # Sidebar controls
+    column = st.sidebar.selectbox("Select column to analyze:", data.columns)
+    chart_type = st.sidebar.selectbox("Choose chart type:", ["Bar", "Line", "Scatter"])
+
+    # Display summary
+    st.write("Summary Statistics:")
+    st.write(data.describe())
+
+    # Generate chart
+    if chart_type == "Bar":
+        st.bar_chart(data[column])
+    elif chart_type == "Line":
+        st.line_chart(data[column])
+    else:
+        fig = px.scatter(data, x=data.index, y=column)
+        st.plotly_chart(fig)