Create zali analyze data

zali analyze data

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+# Import necessary libraries
+import streamlit as st
+import pandas as pd
+import matplotlib.pyplot as plt
+import seaborn as sns
+
+# Set the title of the app
+st.title('Zali Ai')
+
+# Allow the user to upload an Excel file
+uploaded_file = st.file_uploader("Choose an Excel file", type='xlsx')
+
+if uploaded_file is not None:
+    # Load the Excel file into a pandas DataFrame
+    data = pd.read_excel(uploaded_file)
+
+    # Display the DataFrame
+    st.dataframe(data)
+
+    # Allow the user to select a column to visualize
+    column_to_plot = st.selectbox('Select a column to visualize', data.columns)
+
+    # Create a histogram for the selected column
+    fig, ax = plt.subplots()
+    sns.histplot(data[column_to_plot], ax=ax, kde=True)
+    st.pyplot(fig)
+
+    # Create a boxplot for the selected column
+    fig, ax = plt.subplots()
+    sns.boxplot(data[column_to_plot], ax=ax)
+    st.pyplot(fig)
+
+    # Create a violin plot for the selected column
+    fig, ax = plt.subplots()
+    sns.violinplot(data[column_to_plot], ax=ax)
+    st.pyplot(fig)