Upload Engg_Result_analysis.py

Engg_Result_analysis.py

@@ -0,0 +1,45 @@
+import streamlit as st
+import pandas as pd
+
+# Function to analyze the status column
+def analyze_status(df):
+    if 'Status' not in df.columns:
+        st.error("The uploaded file does not contain a 'status' column.")
+        return None
+
+    status_counts = df['Status'].value_counts()
+    return status_counts
+
+# Streamlit app
+def main():
+    st.title("Engg Students Result Analysis")
+    st.write("Upload a CSV or Excel file to analyze student status.")
+
+    uploaded_file = st.file_uploader("Choose a CSV or Excel file", type=["csv", "xlsx"])
+
+    if uploaded_file is not None:
+        try:
+            # Determine the file type and read accordingly
+            if uploaded_file.name.endswith('.csv'):
+                df = pd.read_csv(uploaded_file)
+            elif uploaded_file.name.endswith('.xlsx'):
+                df = pd.read_excel(uploaded_file)
+            else:
+                st.error("Unsupported file format.")
+                return
+
+            st.write("File uploaded successfully!")
+            st.write("Here's a preview of the data:")
+            st.dataframe(df.head())
+
+            status_counts = analyze_status(df)
+            if status_counts is not None:
+                st.write("### Analysis of Student Status")
+                st.write(status_counts)
+                st.bar_chart(status_counts)
+
+        except Exception as e:
+            st.error(f"An error occurred: {e}")
+
+if __name__ == "__main__":
+    main()