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Data type: String
Type of data used across 114 fields and 2 units
Here are the 114 fields and their occurrence:
country
22
city
8
website
6
currency
4
industry
4
continent
4
sport
4
sector
4
competition
3
crypto
3
company
3
region
3
gender
3
Instagram link
3
domain
3
date
3
CEO
2
country full name
2
exchange symbol
2
Facebook link
2
event
2
demonym
2
description
2
employee type
2
ISO 3 country code
2
ISO 2 country code
2
revenue type
2
athlete
2
capital city
2
book publisher
2
disease
2
exchange
2
address
2
author
2
timezone
2
Twitter link
2
image link
2
museum
2
political party
2
stock
2
category
1
brand
1
art movement era
1
art movement
1
artwork
1
acquisition date
1
book
1
artist
1
artwork link
1
BNB id
1
email
1
entities
1
is the site in danger
1
democracy type
1
crypto symbol
1
CEO gender
1
classification
1
credit
1
CEO approval
1
closing time local
1
competing
1
city coordinates
1
book subject
1
book series
1
introduction
1
ISBN
1
medal
1
max supply
1
logo
1
LinkedIn link
1
news link
1
medium
1
mortality rate
1
names
1
opening times
1
opening time local
1
language
1
link
1
height
1
global cases
1
founder
1
international students
1
proof type
1
publication time
1
political leader
1
politician
1
phone
1
news
1
services available
1
RSS
1
site coordinates
1
site
1
stack
1
state public
1
stock name
1
shop
1
schedule link
1
score
1
talking points
1
symptoms
1
street
1
title of the political leader
1
transboundary
1
transmission
1
treatment
1
title
1
Twitter creation date
1
Twitter username
1
university
1
type
1
vaccine
1
virus family
1
wildfire coordinates
1
winner
1
It spreads amongst 2
units
:
date
1.98%
people
0.5%