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PRODUCTOS QUIMICOS BASICOS

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RECORD SUMMARY ocds-0ud2q6-986

Total amount

2.2 millones (2,155,494.6 )

Number of contracts

1

Buying unit

SUBDIRECCIÓN DE RECURSOS MATERIALES Y SERVICIOS GENERALES. belonging to ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

PLANNING

No data

CALL FOR TENDERS

Government agency

ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

Buying unit

SUBDIRECCIÓN DE RECURSOS MATERIALES Y SERVICIOS GENERALES.

Call type

ADJUDICACION DIRECTA (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 986

Title

PRODUCTOS QUIMICOS BASICOS

View contract

Supplier(s)

ASOCIACION DE MASTER EN FISCAL DEL ESTADO DE VERACRUZ AC ,

MENDIOLA FERNANDEZ ROBERTO ,

CURVAS Y BORDES DE MEXICO S.A. DE C.V. ,

BAUTISTA MATEOS PORFIRIO ,

FCD LABS S.A. DE C.V. ,

INTERNATIONAL SEWING COMPANY S.A. DE C.V. ,

Tequimec S.A. De C.V. ,

APPLIED BIOSYSTEMS DE MÉXICO S. DE R.L. DE C.V. ,

BECTON DICKINSON DE MÉXICO S.A. DE C.V. ,

Inmobiliaria Ancesa S.A. ,

ABALAT S A DE C V

Amount

2.2 millones pesos mexicanos (2,155,494.6 MXN)

Award status

active

Signature date

1 de junio de 2016

Execution period

1 de junio de 2016 to 4 de julio de 2016

Official documents

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

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

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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-0ud2q6-986")

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                        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-0ud2q6-986')   

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

Python (pandas, json)

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                        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-0ud2q6-986')