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Suscripción a la base de datos Bankers Almanac

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RECORD SUMMARY ocds-0ud2q6-20142509

Total amount

140,651.5

Number of contracts

Buying unit

DIRECCIÓN DE RECURSOS HUMANOS MATERIALES Y SERVICIOS belonging to BANCO NACIONAL DE COMERCIO EXTERIOR S.N.C.

PLANNING

No data

CALL FOR TENDERS

Government agency

BANCO NACIONAL DE COMERCIO EXTERIOR S.N.C.

Buying unit

DIRECCIÓN DE RECURSOS HUMANOS MATERIALES Y SERVICIOS

Call type

OTROS

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 20142509

Title

Suscripción a la base de datos Bankers Almanac

View contract

Supplier(s)

Accuity Inc.

Amount

140,651.5 pesos mexicanos

Award status

active

Signature date

25 de septiembre de 2014

Execution period

25 de septiembre de 2014 to 25 de septiembre de 2014

Official documents

See awardNotice 1 on official site www.portaltransparencia.gob.mx
See awardNotice 2 on official site www.bancomext.com

This contract is (terminated)

IMPLEMENTATION

No data

GENERAL INFORMATION

Date updated in QQW

9 de mayo de 2021

Source(s)

Portal de Obligaciones de Transparencia (POT)

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.

Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.

R (json)

Add this to your code:



                        library(rjson) 

                        #Read JSON data into R  

                        data <- fromJSON(file="http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-20142509")

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-0ud2q6-20142509')   

                        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-0ud2q6-20142509')

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Suscripción a la base de datos Bankers Almanac

RECORD SUMMARY ocds-0ud2q6-20142509

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

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