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import streamlit as st
from utilities.template_helpers import upload_data
import pandas as pd
from types import NoneType
from pandas_profiling import ProfileReport
from streamlit_pandas_profiling import st_profile_report
import sys
def render():
st.title("DATA EXPLORATION")
col1, col2 = st.columns([2,5])
df = None
with col1.container():
df = upload_data()
if type(df) is NoneType:
return
st.dataframe(df.describe())
with col2.container():
pr = ProfileReport(df)
st_profile_report(pr) |