You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
45 lines
1.4 KiB
45 lines
1.4 KiB
import streamlit as st
|
|
import sys
|
|
sys.path.append('./back/')
|
|
|
|
import managing_missing_values as mmv
|
|
import load_csv as lc
|
|
|
|
if 'original_df' in st.session_state:
|
|
df = st.session_state.original_df
|
|
|
|
st.write("# 🧼 Data cleaning")
|
|
|
|
st.write("## Missing data")
|
|
rm_empty_rows_or_cols = st.checkbox("Remove empty rows or columns", True)
|
|
|
|
|
|
st.write("#### Replace missing values")
|
|
replace_methods = ["mean","median","mode","knn","regression"]
|
|
replace_method = st.radio('Choose an option:', replace_methods)
|
|
|
|
st.write("## Normalize data")
|
|
normalize_methods = ["min-max","z-score","robust"]
|
|
normalize_method = st.radio('Choose an option:', normalize_methods)
|
|
|
|
is_cleaned = st.button("Clean dataset")
|
|
if is_cleaned:
|
|
if rm_empty_rows_or_cols:
|
|
st.write("- Removing hight null percentage values")
|
|
df = mmv.drop_high_null_percentage(df)
|
|
st.dataframe(df)
|
|
|
|
st.write("- Handle missing values with method:", replace_method)
|
|
df = mmv.handle_missing_values(df, replace_method)
|
|
st.session_state.df = df
|
|
st.dataframe(df)
|
|
|
|
st.write("- Normalize with method:", normalize_method)
|
|
df = lc.handle_normalization(df, normalize_method)
|
|
st.session_state.df = df
|
|
st.dataframe(df)
|
|
|
|
st.switch_page("pages/visualize.py")
|
|
else:
|
|
st.write("Please upload you dataset.")
|