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import streamlit as st |
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import pandas as pd |
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st.set_page_config(page_title='Documentation', layout='wide') |
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with st.sidebar: |
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with st.expander("⚠️ Disclaimer", expanded=True): |
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st.write("This web app is intended for prediction purposes only. The results are based on the input data provided and \ |
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the performance of the machine learning model. The accuracy of the predictions may vary depending on data quality \ |
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and model reliability.") |
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st.caption("MIT License © 2025 Khor Kean Teng, Ng Jing Wen, Lim Sze Chie, Tan Yee Thong, Yee See Marn") |
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st.title("📄 Documentation") |
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st.markdown(""" |
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To learn more about the project, please refer to the sections below. |
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""") |
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st.subheader("About Employee Turnover") |
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st.write( |
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"Employee turnover, also known as employee attrition, refers to the number of workers leaving an \ |
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organization over a specified time. It disrupts operations, increases recruitment costs, and impacts \ |
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productivity, competitiveness, and profitability.") |
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st.subheader("Malaysian Employee Turnover Statistics") |
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st.write("- Nearly 49% of Malaysian organizations face employee turnover issues (Al-Suraihi et al., 2021).") |
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st.write("- Voluntary turnover rates rose from 6.5% (early 2019) to 8.7% (2020) (Bibi Nabi & Zahir, 2024).") |
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st.write("- Manufacturing sector turnover: 24% in 2019 (Kin et al., 2022).") |
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st.write("- FMCG sector voluntary turnover: 8.4% in 2020.") |
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st.subheader("Case Study Highlight") |
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st.write("Xerox’s Call Centre reduced turnover by 20% using predictive analytics to identify patterns \ |
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# linked to attrition and improve employee engagement. (Solutyics, 2023)") |
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st.subheader("Data Source") |
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st.write( |
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"The dataset used in this project is from the IBM HR Analytics Employee Attrition & Performance dataset \ |
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available on Kaggle. It is a synthetic dataset with 1,470 observations and 35 features, covering \ |
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employee background, employment details, and satisfaction metrics. Below attached the sample data for reference.") |
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data = pd.read_csv("data/sample_data.csv") |
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data = data.to_csv(index=False).encode("utf-8") |
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st.download_button( |
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label="Download Sample Data", |
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data=data, |
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file_name="sample_data.csv", |
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mime="text/csv" |
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) |
