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[[Fichier:RegistreCartesSurete.png|vignette|centré]]
[[Fichier:RegistreCartesSurete.png|vignette|centré]]


== Codebook ==
Invalid caracter : <0x0b>
* cote (agrégé à "type") = Relevé
>> Encoding: UTF8
* carton
* no
* date
* nom
* prenom
* signe
* age
* profession
* domicile_actuel
* domicile_precedent
* insee_domicile_precedent
* date_arrivee_paris
* ville_nais
* ville_nais_lu
* insee_ville_naissance
* departement
* signature
* obs
* domicile_ville
* type (agrégé à "cote") = Relevé
* filiatif (supprimé)
* id (supprimé)


Remove leading and trailing spaces: value.trim()
Collapse consecutive white space: value.replace(/\s+/,' ')
Text to Number: value.toNumber()
=== carton ===
* Common transforms
** Remove leading and trailing spaces: n=0
** Collapse consecutive white space: n=1
** Column renamed: S_carton
==== S_carton ====
Text facet: 29 choices
==== R_carton ====
column R_carton is based on S_carton: (value)
* Common transform
** Clustering and merging: Text facet: 29 to 25 choices
=== no  ===
* Common transforms
** Remove leading and trailing spaces: n=0
** Collapse consecutive white space: n=0
** Column renamed: S_no
==== S_no ====
Text facet: 8962 choices
==== R_no ====
Column R_no is based on S_no: (value)
* Common transforms
** Text to Number: (number), n=179392 ; blanck, n=2820 ; others, n=10
=== date  ===
* Common transforms
** Remove leading and trailing spaces: n=1
** Collapse consecutive white space: n=0
=== nom  ===
* Common transforms
** Remove leading and trailing spaces: n=4
** Collapse consecutive white space: n=16
=== prenom  ===
* Common transforms
** Remove leading and trailing spaces: n=0
** Collapse consecutive white space: n=51
** Column renamed: S_prenom
==== S_prenom ====
Text facet: 23286 choices
==== R_prenom  ====
Column R_prenom is based on S_prenom: (value)
==== C_prenom  ====
Column C_prenom is based on R_prenom: (value)
==== CC_prenoms  ====
Text facet: 19557 choices
=== signe  ===
* Common transforms
** Remove leading and trailing spaces: n=1
** Collapse consecutive white space: n=1
=== age  ===
* Common transforms
** Remove leading and trailing spaces: n=0
** Collapse consecutive white space: n=0
=== profession  ===
* Common transforms
** Remove leading and trailing spaces: n=1
** Collapse consecutive white space: n=64
=== domicile_actuel  ===
* Common transforms
** Remove leading and trailing spaces: n=1
** Collapse consecutive white space: n=1446
** Column renamed: S_domicile_actuel
==== S_domicile_actuel ====
=== domicile_precedent  ===
* Common transforms
** Remove leading and trailing spaces: n=2
** Collapse consecutive white space: n=377
=== insee_domicile_precedent  ===
* Common transforms
** Remove leading and trailing spaces: n=1
** Collapse consecutive white space: n=1
=== date_arrivee_paris ===
* Common transforms
** Remove leading and trailing spaces: n=1
** Collapse consecutive white space: n=198
=== ville_nais  ===
* Common transforms
** Remove leading and trailing spaces: n=1
** Collapse consecutive white space: n=184
=== ville_nais_lu  ===
* Common transforms
** Remove leading and trailing spaces: n=3
** Collapse consecutive white space: n=180
=== insee_ville_naissance  ===
* Common transforms
** Remove leading and trailing spaces: n=2
** Collapse consecutive white space: n=6
=== departement  ===
* Common transforms
** Remove leading and trailing spaces: n=1
** Collapse consecutive white space: n=17
=== signature  ===
* Common transforms
** Remove leading and trailing spaces: n=1
** Collapse consecutive white space: n=0
=== obs  ===
* Common transforms
** Remove leading and trailing spaces: n=482
** Collapse consecutive white space: n=938
=== domicile_ville  ===
column removed
=== filiatif  ===
column removed
=== type ===
column merged with "id" and then removed
=== id  ===
column merged with "type" and then removed
=== C_Releve ===
Merge: cells["type"].value + "-" + cells["id"].value
* Remove leading and trailing spaces: n=
* Collapse consecutive white space: n=


== Croisements de sources ==
== Croisements de sources ==


=== Almanachs et Annuaires avec numérotations sectionnaires ===
=== Almanachs et Annuaires avec numérotations sectionnaires ===

Dernière version du 16 septembre 2019 à 09:59

FICHIER DES ENREGISTREMENTS DES CARTES DE SÛRETÉ 1792-1795

Relevés de la Bibliothèque Généalogique de France



Invalid caracter : <0x0b> >> Encoding: UTF8

Remove leading and trailing spaces: value.trim() Collapse consecutive white space: value.replace(/\s+/,' ') Text to Number: value.toNumber()

carton

  • Common transforms
    • Remove leading and trailing spaces: n=0
    • Collapse consecutive white space: n=1
    • Column renamed: S_carton

S_carton

Text facet: 29 choices

R_carton

column R_carton is based on S_carton: (value)

  • Common transform
    • Clustering and merging: Text facet: 29 to 25 choices


no

  • Common transforms
    • Remove leading and trailing spaces: n=0
    • Collapse consecutive white space: n=0
    • Column renamed: S_no

S_no

Text facet: 8962 choices

R_no

Column R_no is based on S_no: (value)


  • Common transforms
    • Text to Number: (number), n=179392 ; blanck, n=2820 ; others, n=10


date

  • Common transforms
    • Remove leading and trailing spaces: n=1
    • Collapse consecutive white space: n=0

nom

  • Common transforms
    • Remove leading and trailing spaces: n=4
    • Collapse consecutive white space: n=16

prenom

  • Common transforms
    • Remove leading and trailing spaces: n=0
    • Collapse consecutive white space: n=51
    • Column renamed: S_prenom

S_prenom

Text facet: 23286 choices

R_prenom

Column R_prenom is based on S_prenom: (value)

C_prenom

Column C_prenom is based on R_prenom: (value)

CC_prenoms

Text facet: 19557 choices

signe

  • Common transforms
    • Remove leading and trailing spaces: n=1
    • Collapse consecutive white space: n=1

age

  • Common transforms
    • Remove leading and trailing spaces: n=0
    • Collapse consecutive white space: n=0

profession

  • Common transforms
    • Remove leading and trailing spaces: n=1
    • Collapse consecutive white space: n=64

domicile_actuel

  • Common transforms
    • Remove leading and trailing spaces: n=1
    • Collapse consecutive white space: n=1446
    • Column renamed: S_domicile_actuel

S_domicile_actuel

domicile_precedent

  • Common transforms
    • Remove leading and trailing spaces: n=2
    • Collapse consecutive white space: n=377

insee_domicile_precedent

  • Common transforms
    • Remove leading and trailing spaces: n=1
    • Collapse consecutive white space: n=1

date_arrivee_paris

  • Common transforms
    • Remove leading and trailing spaces: n=1
    • Collapse consecutive white space: n=198

ville_nais

  • Common transforms
    • Remove leading and trailing spaces: n=1
    • Collapse consecutive white space: n=184

ville_nais_lu

  • Common transforms
    • Remove leading and trailing spaces: n=3
    • Collapse consecutive white space: n=180

insee_ville_naissance

  • Common transforms
    • Remove leading and trailing spaces: n=2
    • Collapse consecutive white space: n=6

departement

  • Common transforms
    • Remove leading and trailing spaces: n=1
    • Collapse consecutive white space: n=17

signature

  • Common transforms
    • Remove leading and trailing spaces: n=1
    • Collapse consecutive white space: n=0

obs

  • Common transforms
    • Remove leading and trailing spaces: n=482
    • Collapse consecutive white space: n=938


domicile_ville

column removed

filiatif

column removed

type

column merged with "id" and then removed


id

column merged with "type" and then removed

C_Releve

Merge: cells["type"].value + "-" + cells["id"].value


  • Remove leading and trailing spaces: n=
  • Collapse consecutive white space: n=

Croisements de sources

Almanachs et Annuaires avec numérotations sectionnaires