replace code examples with intro blog + demo video + GitHub links

README.md

@@ -34,6 +34,7 @@ size_categories:
 <h3>DartLab Data</h3>
 
 <p><b>Structured company data from DART & EDGAR disclosure filings</b></p>
+<p>DART 전자공시 + EDGAR 공시 데이터 — 한국 2,700사 / 미국 970사</p>
 
 <p>
 <a href="https://github.com/eddmpython/dartlab"><img src="https://img.shields.io/badge/GitHub-dartlab-ea4647?style=for-the-badge&labelColor=050811&logo=github&logoColor=white" alt="GitHub"></a>
@@ -50,6 +51,8 @@ size_categories:
 
 Pre-collected [Parquet](https://parquet.apache.org/) files from [DartLab](https://github.com/eddmpython/dartlab) — a Python library that turns DART (Korea) and EDGAR (US) disclosure filings into one structured company map.
 
+한국 DART 전자공시 시스템과 미국 SEC EDGAR에서 수집한 기업 공시 데이터입니다.
+
 This dataset is the **data layer** behind DartLab. When you run `dartlab.Company("005930")`, the library automatically downloads the relevant parquet from this repo.
 
 ## Dataset Structure
@@ -113,47 +116,24 @@ XBRL-based financial data from DART OpenAPI (`fnlttSinglAcntAll`).
 
 **28 API types:** dividend, employee, executive, majorHolder, treasuryStock, capitalChange, auditOpinion, stockTotal, outsideDirector, corporateBond, and more.
 
-## Usage
+## Learn More
 
 <img align="right" src="https://huggingface.co/datasets/eddmpython/dartlab-data/resolve/main/assets/avatar-analyze.png" width="120">
 
-### With DartLab (recommended)
-
-```bash
-pip install dartlab
-```
-
-```python
-import dartlab
-
-c = dartlab.Company("005930")   # Samsung Electronics
-c.sections                      # full company map (topic x period)
-c.BS                            # balance sheet
-c.ratios                        # financial ratios
-c.show("businessOverview")      # narrative text
+DartLab auto-downloads from this dataset — one stock code gives you the full company map. Start with the intro below.
 
-# US companies work the same way
-us = dartlab.Company("AAPL")
-us.BS
-us.ratios
-```
-
-DartLab auto-downloads from this dataset. No manual download needed.
+<div align="center">
 
-### Direct download
+<a href="https://www.youtube.com/shorts/97lYLWMWzvA"><img src="https://img.youtube.com/vi/97lYLWMWzvA/maxresdefault.jpg" alt="DartLab 30s Demo" width="320"></a>
 
-```python
-import polars as pl
+<sub>▶ <a href="https://www.youtube.com/shorts/97lYLWMWzvA">DartLab 30s Demo</a></sub>
 
-# Single file
-url = "https://huggingface.co/datasets/eddmpython/dartlab-data/resolve/main/dart/finance/005930.parquet"
-df = pl.read_parquet(url)
-```
+</div>
 
-```bash
-# wget
-wget https://huggingface.co/datasets/eddmpython/dartlab-data/resolve/main/dart/finance/005930.parquet
-```
+- **GitHub** — [github.com/eddmpython/dartlab](https://github.com/eddmpython/dartlab)
+- **Intro blog** — [DartLab 시작하기 / Getting started](https://eddmpython.github.io/dartlab/blog/dartlab-easy-start)
+- **Docs** — [eddmpython.github.io/dartlab](https://eddmpython.github.io/dartlab/)
+- **YouTube** — [@eddmpython](https://www.youtube.com/@eddmpython)
 
 <img align="right" src="https://huggingface.co/datasets/eddmpython/dartlab-data/resolve/main/assets/avatar-discover.png" width="120">