Here’s an example of the simplest csvs dataset that contains a record about visiting Japan in 2001.
# .csvs.csv csvs,0.0.2# _-_.csv event,date# event-date.csv visited Japan,2001-01-01
Technically, this dataset represents three records:
event record that says visited Japan in 2001-01-01date record that says 2001-01-01_ record, pronounced schema record, that says "event" has a "date"Let’s add another event about climbing the Everest in 2003
# .csvs.csv csvs,0.0.2# _-_.csv event,date# event-date.csv visited Japan,2001-01-01 climbed Everest,2003-03-03
Now, the dataset represents five records:
event record that says visited Japan in 2001-01-01event record that says climbed Everest in 2003-03-03date record that says 2001-01-01date record that says 2003-03-03_ record, pronounced schema record, that says "event" has a "date"Let’s add another value to the database to show that events happened to different people.
# .csvs.csv csvs,0.0.2# _-_.csv event,date event,name# event-date.csv visited Japan,2001-01-01 climbed Everest,2003-03-03# event-name.csv visited Japan,Donell climbed Everest,Eva
Finally, the dataset represents seven records:
event record that says Donell visited Japan in 2001-01-01event record that says Eva climbed Everest in 2003-03-03date record that says 2001-01-01date record that says 2003-03-03name record that says Evaname record that says Donell_ record, pronounced schema record, that says "event" has a "date" and a "name"To remove records from the dataset, delete corresponding lines from the tablets.
Learn more about csvs in the User guides.