233 rows of data grouped into 8 columns.
Here's some metadata about each column.
These results will expire in -27 days.

.

categorie

  • This column is full of text
  • The most frequent values in this column are:
    • supermarket (47)
    • bank (19)
    • car_repair (18)
    • insurance (17)
    • doityourself (16)
  • The longest string has 18 characters
  • There are 33 unique values
value frequency
supermarket 47
bank 19
car_repair 18
insurance 17
doityourself 16
Other 116

categorie

  • This column is full of text
  • The most frequent values in this column are:
    • supermarket (47)
    • bank (19)
    • car_repair (18)
    • insurance (17)
    • doityourself (16)
  • The longest string has 18 characters
  • There are 33 unique values

nom_enseigne

  • This column is full of text
  • The longest string has 31 characters
  • There are 233 unique values
value frequency
la 12
cr 8
de 8
xe9 8
xe9dit 8
u 7
carrefour 5
banque 4
brico 3
point 3
express 3
populaire 3
xe9p 3
grand 3
l 3
u2019s 3
vert 3
mutuel 3
g 3
pizza 3

nom_enseigne

  • This column is full of text
  • The longest string has 31 characters
  • There are 233 unique values

id_wikidata

  • This column is full of text
  • The most frequent values in this column are:
    • Q2529029 (6)
    • Q846647 (4)
    • Q3475335 (4)
    • Q154037 (2)
    • Q3006236 (2)
  • The longest string has 9 characters
  • There are 22 rows of missing data
  • There are 189 unique values
value frequency
Q2529029 6
Q846647 4
Q3475335 4
Q154037 2
Q3006236 2
Other 193

id_wikidata

  • This column is full of text
  • The most frequent values in this column are:
    • Q2529029 (6)
    • Q846647 (4)
    • Q3475335 (4)
    • Q154037 (2)
    • Q3006236 (2)
  • The longest string has 9 characters
  • There are 22 rows of missing data
  • There are 189 unique values

regle_ouverture

  • This column is full of text
  • The unique values in this column are:
    • fermé (88)
    • ouvert (56)
    • partiel (48)
    • ouvert_adapté (41)
value frequency
fermé 88
ouvert 56
partiel 48
ouvert_adapté 41

regle_ouverture

  • This column is full of text
  • The unique values in this column are:
    • fermé (88)
    • ouvert (56)
    • partiel (48)
    • ouvert_adapté (41)

horaires

  • This column is full of text
  • The longest string has 32 characters
  • There are 225 rows of missing data
  • There are 8 unique values
value frequency
00 20
sa 8
mo 8
14 3
18 3
13 2
08 2
19 2
09 2
10 2
07 2
17 2
9 1
30 1
00' 1
su 1
15 1

horaires

  • This column is full of text
  • The longest string has 32 characters
  • There are 225 rows of missing data
  • There are 8 unique values

infos

  • This column is full of text
  • The most frequent values in this column are:
    • Privilégier les échanges à distance (5)
    • Contact par téléphone possible (3)
    • Appeler avant de se déplacer (2)
    • Services en ligne et contact possible par téléphone (2)
    • Sur rendez-vous uniquement (2)
  • The longest string has 160 characters
  • There are 181 rows of missing data
  • There are 43 unique values
value frequency
Privilégier les échanges à distance 5
Contact par téléphone possible 3
Appeler avant de se déplacer 2
Services en ligne et contact possible par téléphone 2
Sur rendez-vous uniquement 2
Other 38

infos

  • This column is full of text
  • The most frequent values in this column are:
    • Privilégier les échanges à distance (5)
    • Contact par téléphone possible (3)
    • Appeler avant de se déplacer (2)
    • Services en ligne et contact possible par téléphone (2)
    • Sur rendez-vous uniquement (2)
  • The longest string has 160 characters
  • There are 181 rows of missing data
  • There are 43 unique values

url_source

  • This column is full of text
  • The most frequent values in this column are:
    • https://www.magasins-u.com/accueil (5)
    • https://www.carrefour.fr/ (5)
    • https://www.facebook.com/LaTribuSchiever/posts/2806211786122536 (4)
    • https://www.banquepopulaire.fr/portailinternet/Editorial/Informations/Pages/covid19/toujours-a-vos-cotes.aspx?vary=0-0-0 (4)
    • https://www.arkea.com/banque/assurance/credit/accueil (2)
  • The longest string has 155 characters
  • There are 6 rows of missing data
  • There are 203 unique values
value frequency
https://www.magasins-u.com/accueil 5
https://www.carrefour.fr/ 5
https://www.facebook.com/LaTribuSchiever/posts/2806211786122536 4
https://www.banquepopulaire.fr/portailinternet/Editorial/Informations/Pages/covid19/toujours-a-vos-cotes.aspx?vary=0-0-0 4
https://www.arkea.com/banque/assurance/credit/accueil 2
Other 207

url_source

  • This column is full of text
  • The most frequent values in this column are:
    • https://www.magasins-u.com/accueil (5)
    • https://www.carrefour.fr/ (5)
    • https://www.facebook.com/LaTribuSchiever/posts/2806211786122536 (4)
    • https://www.banquepopulaire.fr/portailinternet/Editorial/Informations/Pages/covid19/toujours-a-vos-cotes.aspx?vary=0-0-0 (4)
    • https://www.arkea.com/banque/assurance/credit/accueil (2)
  • The longest string has 155 characters
  • There are 6 rows of missing data
  • There are 203 unique values

url_horaires

  • This column is full of text
  • The most frequent values in this column are:
    • https://www.magasins-u.com/fichiers/horaires-magasins_pdf (5)
    • https://www.autodistribution.fr/magasins-pieces-auto (2)
    • https://www.drive-fermier.fr/carte_drive_fermier (2)
    • https://www.grandfrais.com/recherchemagasin.html (1)
    • http://lesnouveauxrobinson.coop/les-magasins/ (1)
  • The longest string has 117 characters
  • There are 188 rows of missing data
  • There are 39 unique values
value frequency
https://www.magasins-u.com/fichiers/horaires-magasins_pdf 5
https://www.autodistribution.fr/magasins-pieces-auto 2
https://www.drive-fermier.fr/carte_drive_fermier 2
https://www.grandfrais.com/recherchemagasin.html 1
http://lesnouveauxrobinson.coop/les-magasins/ 1
Other 34

url_horaires

  • This column is full of text
  • The most frequent values in this column are:
    • https://www.magasins-u.com/fichiers/horaires-magasins_pdf (5)
    • https://www.autodistribution.fr/magasins-pieces-auto (2)
    • https://www.drive-fermier.fr/carte_drive_fermier (2)
    • https://www.grandfrais.com/recherchemagasin.html (1)
    • http://lesnouveauxrobinson.coop/les-magasins/ (1)
  • The longest string has 117 characters
  • There are 188 rows of missing data
  • There are 39 unique values

What do I do next?

Understanding the data in your csv file is the first step in analyzing it for stories. Looking at individual columns can help you identify questions that might be fun to ask about your data. For instance, is it surprising that "https://www.magasins-u.com/fichiers/horaires-magasins_pdf" is the most frequent value in the url_horaires column? Does it make any sense to compare the nom_enseigne column to the horaires column? Are there any other datasets you could find to ask interesting questions about the url_horaires column?

Asking these types of questions is the first step in understanding the data you have, and what kind of stories you can find in it. Check out our activity guide for more help on asking questions of data sets.

Try these other tools to do more full-fledged analysis: