# 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