Unofficial Demo - Review with Caution
This page was generated with assistance from Large Language Models (LLMs) and should be reviewed with caution. It is not an official resource and was initially drafted as an internal reference to showcase a subset of Zensical's capabilities within our ETL documentation context.
For authoritative and up-to-date information, please refer to the official Zensical documentation. The official docs provide comprehensive guidance on all features, best practices, and the latest updates to this modern static site generator.
Demo Page - Zensical Features Showcase¶
This page demonstrates the powerful authoring capabilities available in Zensical, a modern static site generator. You'll find examples of rich formatting, interactive elements, and technical documentation features.
Navigation Note
This page has the table of contents (TOC) hidden via front matter. Remove the following line from the YAML header to restore it.
Links and References¶
Basic Links¶
You can create internal links to other pages or external links to websites.
Links with Tooltips¶
Zensical supports hoverable tooltips using the title attribute.
You can also use abbreviations for inline tooltips. Hover over the abbreviation below:
The API endpoint processes requests through multiple stages.
Links with preview¶
Check out our API.
Reference-style Links¶
Check out our data API and metadata system.
Page Status Indicators¶
The status indicator at the top of this page is set via front matter: status: new
Available status options:
new- Recently added contentdeprecated- Outdated or superseded content
Admonitions (Callouts)¶
Standard Types¶
Information Note
This is a note admonition with a custom title. Great for highlighting important information.
Summary
Use abstract for summaries or TL;DR sections.
Additional Context
Info admonitions provide supplementary details.
Pro Tip
Tips offer helpful suggestions and best practices.
Success Story
Celebrate achievements and successful outcomes.
FAQ
Use questions for frequently asked questions.
Caution
Warnings alert users to potential pitfalls.
Common Mistake
Highlight errors or things to avoid.
Critical Warning
Danger indicates serious risks or breaking changes.
Known Issue
Document known bugs or limitations.
Code Example
Provide illustrative examples.
Citation
Quote sources or include testimonials.
Collapsible Admonitions¶
Click to Expand
This admonition starts collapsed. Click the title to reveal the content.
Perfect for optional details or advanced topics.
Starts Expanded
This collapsible admonition begins in the expanded state.
Users can collapse it if they want to focus on other content.
Inline Admonitions¶
Sidebar Info
This admonition floats to the right side of the page, allowing text to flow around it.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nulla et euismod nulla. Curabitur feugiat, tortor non consequat finibus, justo purus auctor massa, nec semper lorem quam in massa. This text wraps around the inline admonition.
Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Vestibulum tortor quam, feugiat vitae, ultricies eget, tempor sit amet, ante.
Buttons¶
You can create styled buttons for calls to action:
Getting Started View on GitHub API Documentation
Code Blocks¶
Basic Syntax Highlighting¶
def process_data(data: list) -> list:
"""Process and clean the input data."""
# Remove duplicates
data = list(set(data))
# Filter invalid values
data = [x for x in data if x > 0]
return sorted(data)
With Title and Line Numbers¶
With Highlighted Lines¶
With Annotations¶
def validate_config(config: dict) -> bool:
"""Validate configuration structure."""
required_keys = {'name', 'version', 'settings'} # (1)!
if not all(key in config for key in required_keys): # (2)!
return False
return True
- Define the required configuration keys that must be present.
- Check that all required keys exist in the configuration dictionary.
Multiple Languages¶
Mermaid Diagrams¶
Flow Chart¶
graph LR
A[Input] -->|Raw Data| B[Processing]
B -->|Cleaned| C[Transform]
C -->|Validated| D[Storage]
D -->|Published| E[Output]
style A fill:#f9f,stroke:#333
style E fill:#9f9,stroke:#333
Sequence Diagram¶
sequenceDiagram
participant User
participant App
participant Database
participant API
User->>App: Request data update
App->>Database: Check current version
Database-->>App: Version info
App->>App: Process new data
App->>Database: Store updated data
Database-->>App: Success
App->>API: Refresh cache
API-->>User: Updated data available
System Architecture¶
graph TB
subgraph "Data Sources"
S1[API Source]
S2[File Upload]
S3[Database]
end
subgraph "Processing Pipeline"
Ingest[Data Ingestion]
Valid[Validation]
Trans[Transformation]
Store[Storage]
end
subgraph "Output Layer"
DB[(Database)]
API[REST API]
UI[Web Interface]
end
S1 --> Ingest
S2 --> Ingest
S3 --> Ingest
Ingest --> Valid
Valid --> Trans
Trans --> Store
Store --> DB
DB --> API
DB --> UI
Tabs¶
Content Tabs¶
The ETL system is Our World in Data's content-addressable data pipeline with DAG-based execution. It processes global development data through multiple stages with rich metadata.
- Snapshot: DVC-tracked raw files
- Meadow: Basic cleaning and standardization
- Garden: Business logic and harmonization
- Grapher: MySQL database ingestion
- Export: Final outputs and APIs
✓ Content-based checksums for change detection ✓ Automatic dependency resolution ✓ Rich metadata at every level ✓ Reproducible data workflows ✓ Version control integration
Tables¶
Simple Table¶
| Stage | Purpose | Output Format |
|---|---|---|
| Snapshot | Raw data storage | CSV, Excel, JSON |
| Meadow | Initial cleaning | Feather |
| Garden | Business logic | Feather |
| Grapher | Database ready | MySQL tables |
Advanced Table with Alignment¶
| Command | Description | Example |
|---|---|---|
etl run |
Execute ETL steps | Common |
etl harmonize |
Country name mapping | Essential |
etl diff |
Compare datasets | Debug |
etl graphviz |
Generate DAG visualization | Planning |
Table with Links¶
| Documentation | Description |
|---|---|
| Getting Started | Installation and setup |
| Guides | How-to guides for common tasks |
| API Reference | API documentation |
| Metadata | Metadata system overview |
Grids¶
-
Quick Start
Install dependencies and run your first ETL step in under 10 minutes.
-
User Guides
Step-by-step guides for adding data, updating datasets, and managing charts.
-
Data API
Programmatic access to OWID data via REST API and catalog system.
-
Architecture
Deep dive into ETL design principles, workflow, and data model.
Footnotes¶
The ETL pipeline1 processes data from multiple international organizations2 and makes it available through our API3.
Mathematical Notation¶
Inline Math¶
The growth rate can be calculated as \(r = \frac{P_t - P_{t-1}}{P_{t-1}} \times 100\), where \(P_t\) is the current population.
Block Math¶
The GDP per capita growth rate:
Images¶
Basic Image¶
Image with Caption¶
Image Grid¶
Keyboard Keys¶
Use Ctrl+Shift+R to hard refresh your browser and clear the favicon cache.
Common ETL commands:
- Run a step: Ctrl+Enter
- Stop execution: Ctrl+C
- Search documentation: Ctrl+K or Cmd+K
Progress Bars¶
Track your ETL learning progress:
75% Complete
Dataset processing status:
Snapshot ✓
Meadow ✓
Garden
Grapher
Icons¶
Zensical includes thousands of icons from multiple icon sets. Some examples:
- Database operations
- Data visualization
- Code development
- Python programming
- Version control
- Git branching
- MySQL database
Horizontal Rules¶
Use horizontal rules to separate major sections:
Summary¶
This demo page showcases the rich authoring capabilities available in Zensical:
✓ Interactive elements (buttons, tabs, collapsible sections) ✓ Rich formatting (admonitions, grids, cards) ✓ Technical content (code blocks, diagrams, math) ✓ Documentation features (tooltips, footnotes, cross-references) ✓ Visual elements (images, icons, progress bars)
Ready to Start?
Explore the Getting Started guide to begin building your own documentation!
-
ETL stands for Extract, Transform, Load - the three core stages of data processing. ↩
-
Major data providers include:
- World Health Organization (WHO)
- World Bank
- United Nations
- OECD
- National statistical agencies
-
Our REST API provides programmatic access to all OWID datasets. See the API documentation for details. ↩