| |
| """dashboard |
| |
| Automatically generated by Colab. |
| |
| Original file is located at |
| https://colab.research.google.com/drive/1yT5Jix3VrdcKCeSgH-Gt-NSJnfHzX42H |
| """ |
|
|
| |
|
|
| import streamlit as st |
| import pandas as pd |
| import os |
|
|
| st.title("📊 Mental Health Datasets Comparison Dashboard") |
|
|
| |
| results_dir = os.path.abspath("EDA_results") |
| dataset_dirs = [f for f in os.listdir(results_dir) if os.path.isdir(os.path.join(results_dir, f))] |
|
|
| for ds in dataset_dirs: |
| st.subheader(f"📁 Dataset: {ds}") |
| ds_path = os.path.join(results_dir, ds) |
|
|
| col1, col2 = st.columns(2) |
|
|
| with col1: |
| plot1 = os.path.join(ds_path, "class_balance_plot.png") |
| plot2 = os.path.join(ds_path, "avg_text_length_plot.png") |
| if os.path.exists(plot1): |
| st.image(plot1, caption="Class Balance") |
| if os.path.exists(plot2): |
| st.image(plot2, caption="Avg Text Length by Label") |
|
|
| with col2: |
| wc = os.path.join(ds_path, "wordcloud.png") |
| if os.path.exists(wc): |
| st.image(wc, caption="Word Cloud") |
|
|
| entropy_path = os.path.join(ds_path, "entropy.csv") |
| if os.path.exists(entropy_path): |
| entropy = pd.read_csv(entropy_path) |
| if 'entropy' in entropy.columns: |
| st.metric(label="🔀 Entropy (Label Diversity)", value=round(entropy['entropy'][0], 3)) |
