import streamlit as st import pandas as pd import numpy as np # Custom CSS for styling custom_css = """ """ # Inject the CSS into the app st.markdown(custom_css, unsafe_allow_html=True) st.markdown("
" "Excel is a popular tool for data management and analysis, commonly used to organize datasets that can then be used for machine learning tasks. For machine learning, Excel often serves as an initial data source before the data is preprocessed and fed into ML algorithms for tasks such as classification, regression, clustering, etc." "
", unsafe_allow_html=True ) st.markdown("" "Excel files can be read in various programming languages like Python (pandas), Matlab, R, and Microsoft Excel application." "
", unsafe_allow_html=True ) st.markdown("" "Use Excel's built-in 'Open and Repair' feature to try to recover the file." "
", unsafe_allow_html=True ) st.markdown("" "Preprocess the data by explicitly converting columns to the correct data type using pandas (e.g., pd.to_numeric() for numeric data). Use Excel’s Data Validation feature to ensure consistent data entry." "
", unsafe_allow_html=True ) st.markdown("" "Many Excel files contain missing or blank cells, which can interfere with analysis or cause errors during processing." "
", unsafe_allow_html=True ) st.markdown("" "Large Excel files with many rows and columns can cause performance issues, especially when reading them into memory with tools like Python." "
", unsafe_allow_html=True ) # Add Jupyter Notebook link at the end st.markdown( "" "Click the link below to open the Jupyter Notebook for further exploration." "
", unsafe_allow_html=True ) # Insert your Jupyter Notebook URL here st.markdown( "Open Jupyter Notebook", unsafe_allow_html=True )