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|
| import streamlit as st |
| import numpy as np |
| import pandas as pd |
| from ydata_profiling import ProfileReport |
|
|
| st.set_page_config(page_title='Automated Data Profiling') |
| st.title('AUTOMATED DATA PROFILING') |
| st.subheader('Upload your CSV file') |
| uploaded_file = st.file_uploader('Choose a CSV file', type={"csv"}) |
| if uploaded_file is not None: |
| st.markdown('---') |
| @st.cache_data |
| def load_excel(file1): |
| df = pd.read_csv(file1, encoding='latin-1') |
| return df |
| df = load_excel(uploaded_file) |
| df = df.replace(np.nan,'',regex=True) |
| st.subheader('Data Preview') |
| st.dataframe(df.head(20)) |
|
|
| profile = ProfileReport(df, title="Profiling Report") |
| profile.to_file("Profile_Report.html") |
|
|
| with open("Profile_Report.html", "rb") as file: |
| btn = st.download_button( |
| label="Download Profile Report", |
| data=file, |
| file_name="Profile_Report.html", |
| mime="html" |
| ) |
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