Stremlit

# -*- coding: utf-8 -*-
"""
Created on Sat Jul 27 22:59:32 2024

@author: dell
"""

import streamlit as st
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns

# 1. Title and Subheader
st.title("Data Analysis")
st.subheader("Data analysis using python and streamlit")

# 2. Upload Dataset
upload = st.file_uploader("Upload your data set (CSV formate)")
if upload is not None:
    data = pd.read_csv(upload)

# 3. Show Dataset
if upload is not None:
    if st.checkbox("Preview Dataset")    :
        if st.button("Head"):
            st.write(data.head())
        if st.button("Tail"):
            st.write(data.tail())
    
# 4. Check datatype of each column
if upload is not None:
    if st.checkbox("Datatype of each column"):
        st.text("Datatypes")
        st.write(data.dtypes)

# 5. Find shape of our dataset
if upload is not None:
    data_shape = st.radio("What dimension do you want to check ?", ('Rows','Columns'))
    
    if data_shape == 'Rows':
        st.text("Number of rows")
        st.write(data.shape[0])
    if data_shape == 'Columns':
        st.text("Number of Columns")
        st.write(data.shape[1])    
    
# 6. Find null values in the dataset
if upload is not None:
    test = data.isnull().values.any()
    if test == True:
        if st.checkbox("Null values in the dataset"):
            fig, ax = plt.subplots()
            sns.heatmap(data.isnull(), ax=ax)
            st.pyplot(fig)            
            
    else:
        st.success("Congratulation!!!, No missing values")
        
            
# 7. Find duplicate values in the dataset
if upload is not None:
    test = data.duplicated().any()
    if test == True:
        st.warning("This dataset contains some duplicate values")
        dup = st.selectbox("Do you want to remove duplicate values ?", \
                           ("Select one", "Yes", "No"))
        if dup == "Yes":
            data = data.drop_duplicates()
            st.text("Duplicate values are removed")
        if dup == "No":
            st.text("Ok No Problem")
            
# 8. Get overall statistics  
if upload is not None:
    if st.checkbox("Summary of the dataset"):
        st.write(data.describe())
        
# 9. About section
if st.button("About App"):
    st.text("Built with streamli")
    st.text("Thanks to streamlit")
    
# 10. End
if st.checkbox("END"):
    st.success("Thanks for using Streamlit")