Tables

From simple data tables to large scrollable datasets with expand functionality

Tables are excellent for comparing data across categories. Markdown tables are simple to write and can handle a variety of use cases.

Simple Tables

Here's a basic comparison of some programming languages:

Language	Typing	Paradigm	Year
Python	Dynamic	Multi	1991
Rust	Static	Multi	2010
Haskell	Static	Functional	1990
JavaScript	Dynamic	Multi	1995

Table Alignment

You can control column alignment using colons in the separator row:

Left Aligned	Center Aligned	Right Aligned
Data	Data	Data
More data	More data	More data
Even more	Even more	Even more

Rich Content in Tables

Tables can contain various formatting:

Feature	Status	Notes
Markdown	✓	Full support for formatting
`Code`	✓	Inline code works well
Links	✓	Both inline and reference style
Images	✗	Not recommended in tables

Comparison Table

Type	Use Case	Syntax
Unordered	Items without sequence	`- item`
Ordered	Sequential steps	`1. item`
Task	Trackable to-dos	`- [ ] item`
Definition	Term/definition pairs	`Term : Def`

Large Data Tables

Sometimes you need to display large datasets. This table demonstrates horizontal scrolling for wide tables:

ID	Name	Email	Department	Title	Start Date	Salary	Location	Manager	Status	Performance	Projects
001	Alice Johnson	alice.j@example.com	Engineering	Senior Developer	2019-03-15	$125,000	New York	Bob Smith	Active	Excellent	Alpha, Beta
002	Bob Smith	bob.s@example.com	Engineering	Engineering Manager	2017-08-01	$150,000	New York	Carol Davis	Active	Excellent	Alpha, Gamma
003	Carol Davis	carol.d@example.com	Engineering	VP Engineering	2015-01-10	$200,000	San Francisco	—	Active	Excellent	All
004	David Lee	david.l@example.com	Design	UX Designer	2020-06-22	$95,000	Remote	Eva Martinez	Active	Good	Beta, Delta
005	Eva Martinez	eva.m@example.com	Design	Design Lead	2018-11-30	$130,000	Los Angeles	Carol Davis	Active	Excellent	Beta, Delta
006	Frank Wilson	frank.w@example.com	Marketing	Marketing Specialist	2021-02-14	$75,000	Chicago	Grace Kim	Active	Good	Epsilon
007	Grace Kim	grace.k@example.com	Marketing	Marketing Director	2016-09-05	$140,000	Chicago	Carol Davis	Active	Excellent	Epsilon, Zeta
008	Henry Brown	henry.b@example.com	Engineering	Junior Developer	2022-07-18	$80,000	Remote	Alice Johnson	Active	Good	Alpha
009	Ivy Chen	ivy.c@example.com	Engineering	DevOps Engineer	2020-01-20	$115,000	Seattle	Bob Smith	Active	Excellent	Infrastructure
010	Jack Taylor	jack.t@example.com	Sales	Sales Representative	2021-09-01	$65,000	Boston	Kelly White	Active	Good	Outreach

Expandable Large Table

For very dense data, you can expand the table to full screen for easier reading. Click the expand button in the corner:

Year	Q1 Revenue	Q1 Expenses	Q1 Profit	Q2 Revenue	Q2 Expenses	Q2 Profit	Q3 Revenue	Q3 Expenses	Q3 Profit	Q4 Revenue	Q4 Expenses	Q4 Profit	Annual Total
2020	$1.2M	$0.8M	$0.4M	$1.4M	$0.9M	$0.5M	$1.3M	$0.85M	$0.45M	$1.8M	$1.1M	$0.7M	$8.05M
2021	$1.5M	$0.95M	$0.55M	$1.7M	$1.0M	$0.7M	$1.6M	$0.98M	$0.62M	$2.1M	$1.2M	$0.9M	$9.7M
2022	$1.9M	$1.1M	$0.8M	$2.2M	$1.25M	$0.95M	$2.0M	$1.15M	$0.85M	$2.6M	$1.4M	$1.2M	$12.1M
2023	$2.3M	$1.3M	$1.0M	$2.7M	$1.5M	$1.2M	$2.5M	$1.4M	$1.1M	$3.2M	$1.7M	$1.5M	$14.9M
2024	$2.8M	$1.5M	$1.3M	$3.1M	$1.7M	$1.4M	$2.9M	$1.6M	$1.3M	$3.8M	$2.0M	$1.8M	$17.8M

Conclusion

Tables are powerful tools for presenting structured data. For small datasets, simple markdown tables work great. For larger datasets, use scrollable wrappers and consider the expandable option for dense financial or analytical data.