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Expediente

Servicio de valoraciýn, clasificaciýn, organizaciýn y destino final de la documentaciýn del archivo de concentraciýn

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RECORD SUMMARY ocds-0ud2q6-21160001-065-07

Total amount

605,000

Number of contracts

Buying unit

Subgerencia de Adquisiciones belonging to FONDO NACIONAL DE FOMENTO AL TURISMO

PLANNING

No data

CALL FOR TENDERS

Government agency

FONDO NACIONAL DE FOMENTO AL TURISMO

Buying unit

Subgerencia de Adquisiciones (Code: 21160001 )

Call type

Invitacion a 3 (limited)

Scope

Nacional

Purchase type

Servicios (services)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 169/2007

Title

Servicio de valoraciýn, clasificaciýn, organizaciýn y destino final de la documentaciýn del archivo de concentraciýn

View contract

Supplier(s)

DYNAMIC FILE DE MEXICO, S.A. DE C.V.

Amount

605,000 pesos mexicanos

Award status

active

Signature date

12 de octubre de 2007

Execution period

12 de octubre de 2007 to Fecha desconocida

Official documents

See awardNotice 1 on official site web.compranet.gob.mx:8000

This contract is (terminated)

IMPLEMENTATION

No data

GENERAL INFORMATION

Date updated in QQW

9 de mayo de 2021

Source(s)

CompraNet 3.0

Part of the project

TodosLosContratos.mx

Organization responsible for the import

PODER

Note: CSV download is temporarily disabled due to the server migration. Please use the JSON format to import the data.

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R (json)

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                        library(rjson) 

                        #Read JSON data into R  

                        data <- fromJSON(file="http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-21160001-065-07")

Python (json)

Add this to your code:


                        import json, urllib 


                        #Read JSON data into python  

                        response = urllib2.urlopen('http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-21160001-065-07')   

                        data = json.loads(response.read())

Python (pandas, json)

Add this to your code:


                        import pandas as pd 


                        #Read JSON data into pandas  

                        df = pd.read_json('http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-21160001-065-07')

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Servicio de valoraciýn, clasificaciýn, organizaciýn y destino final de la documentaciýn del archivo de concentraciýn

RECORD SUMMARY ocds-0ud2q6-21160001-065-07

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

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