Shortcode Explorer

The shortcode embeds interactive tables from data files — no Python code cells needed.

CSV File

CSVRows12Columns5
	city str	country str	population i64	latitude f64	longitude f64
0	Tokyo	Japan	13960000	35.6762	139.6503
1	Paris	France	2161000	48.8566	2.3522
2	New York	USA	8336000	40.7128	-74.006
3	London	UK	8982000	51.5074	-0.1278
4	Sydney	Australia	5312000	-33.8688	151.2093
5	Berlin	Germany	3645000	52.52	13.405
6	Mumbai	India	20411000	19.076	72.8777
7	São Paulo	Brazil	12330000	-23.5505	-46.6333
8	Cairo	Egypt	10230000	30.0444	31.2357
9	Toronto	Canada	2930000	43.6532	-79.3832
10	Seoul	South Korea	9776000	37.5665	126.978
11	Mexico City	Mexico	9210000	19.4326	-99.1332

With Caption

CSVRows12Columns5
World Cities (shortcode)
	city str	country str	population i64	latitude f64	longitude f64
0	Tokyo	Japan	13960000	35.6762	139.6503
1	Paris	France	2161000	48.8566	2.3522
2	New York	USA	8336000	40.7128	-74.006
3	London	UK	8982000	51.5074	-0.1278
4	Sydney	Australia	5312000	-33.8688	151.2093
5	Berlin	Germany	3645000	52.52	13.405
6	Mumbai	India	20411000	19.076	72.8777
7	São Paulo	Brazil	12330000	-23.5505	-46.6333
8	Cairo	Egypt	10230000	30.0444	31.2357
9	Toronto	Canada	2930000	43.6532	-79.3832
10	Seoul	South Korea	9776000	37.5665	126.978
11	Mexico City	Mexico	9210000	19.4326	-99.1332

TSV File

TSVRows7Columns5
Products (TSV)
	product str	category str	price f64	stock i64	rating f64
0	Widget	Electronics	29.99	150	4.5
1	Gadget	Tools	49.5	80	3.8
2	Gizmo	Kitchen	12	300	4.9
3	Doohickey	Garden	8.75	0	4.2
4	Thingamajig	Office	199.99	25	2.1
5	Contraption	Electronics	65	44	3.5
6	Apparatus	Tools	120	12	4.7

JSONL File

JSONLRows6Columns4
Server Logs (JSONL)
	ts str	level str	module str	msg str
0	2025-01-15T08:30:00	INFO	auth	User login OK
1	2025-01-15T08:31:12	WARN	db	Slow query (3.2s)
2	2025-01-15T08:32:45	ERROR	api	Timeout /v2/users
3	2025-01-15T08:33:01	INFO	cache	Cache miss user:42
4	2025-01-15T08:34:20	DEBUG	auth	Token refresh abc123
5	2025-01-15T08:35:55	ERROR	db	Pool exhausted

Custom Options

CSVRows12Columns5
5 per page
	city str	country str	population i64	latitude f64	longitude f64
0	Tokyo	Japan	13960000	35.6762	139.6503
1	Paris	France	2161000	48.8566	2.3522
2	New York	USA	8336000	40.7128	-74.006
3	London	UK	8982000	51.5074	-0.1278
4	Sydney	Australia	5312000	-33.8688	151.2093

No Filter

CSVRows12Columns5
No filter input
	city str	country str	population i64	latitude f64	longitude f64
0	Tokyo	Japan	13960000	35.6762	139.6503
1	Paris	France	2161000	48.8566	2.3522
2	New York	USA	8336000	40.7128	-74.006
3	London	UK	8982000	51.5074	-0.1278
4	Sydney	Australia	5312000	-33.8688	151.2093
5	Berlin	Germany	3645000	52.52	13.405
6	Mumbai	India	20411000	19.076	72.8777
7	São Paulo	Brazil	12330000	-23.5505	-46.6333
8	Cairo	Egypt	10230000	30.0444	31.2357
9	Toronto	Canada	2930000	43.6532	-79.3832
10	Seoul	South Korea	9776000	37.5665	126.978
11	Mexico City	Mexico	9210000	19.4326	-99.1332