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SERVICIO DE LIMPIEZA DE LA UNIDAD OPERATIVA GUERRERO

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RECORD SUMMARY ocds-0ud2q6-PSG/569/2012

Total amount

297,000

Number of contracts

Buying unit

GERENCIA DE SUCURSAL TAMAULIPAS belonging to DICONSA S.A. DE C.V.

PLANNING

No data

CALL FOR TENDERS

Government agency

DICONSA S.A. DE C.V.

Buying unit

GERENCIA DE SUCURSAL TAMAULIPAS

Call type

INVITACION A TRES PERSONAS (limited)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code PSG/569/2012

Title

SERVICIO DE LIMPIEZA DE LA UNIDAD OPERATIVA GUERRERO

View contract

Supplier(s)

FABIOLA MARTÍNEZ MALVAEZ

Amount

297,000 pesos mexicanos

Award status

active

Signature date

3 de febrero de 2012

Execution period

1 de febrero de 2012 to 31 de diciembre de 2012

Official documents

See awardNotice 1 on official site www.portaltransparencia.gob.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

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-PSG%2F569%2F2012")

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-PSG%2F569%2F2012')   

                        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-PSG%2F569%2F2012')

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SERVICIO DE LIMPIEZA DE LA UNIDAD OPERATIVA GUERRERO

RECORD SUMMARY ocds-0ud2q6-PSG/569/2012

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

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