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MANTENIMIENTO DE AREAS COMUNES DEL EDIFICIO

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CONTRACT SUMMARY FFM-GRC-003-15-FFM-GRC-003-15

Total amount

11,830.8 pesos mexicanos

Contract period(s)

Between 1 de enero de 2015 and 31 de diciembre de 2011

Buying unit

DIRECCIÓN DE CRÉDITO FINANZAS Y ADMINISTRACIÓN in México

Proveedor(es)

EDIFICIO TORRE LAS AMERICAS

This contract is part of a record. See record ocds-0ud2q6-FFM-GRC-003-15 in Open Contracting Data Standard format.

See contract on www.portaltransparencia.gob.mx

CONTRACT QUALITY

More than 20 algorithmic tests are run at the contract level, grouped into four categories, to determine the quality of procurement data. The methodology can be consulted here.

This contract has not been evaluated.

PLANNING

No data

CALL FOR TENDERS

Government agency

FIDEICOMISO DE FOMENTO MINERO

Buying unit

DIRECCIÓN DE CRÉDITO FINANZAS Y ADMINISTRACIÓN

Call type

ADJUDICACION DIRECTA (direct)

Call status

complete

AWARD AND CONTRACT

Call title

MANTENIMIENTO DE AREAS COMUNES DEL EDIFICIO

Award title

MANTENIMIENTO DE AREAS COMUNES DEL EDIFICIO

Contract title

MANTENIMIENTO DE AREAS COMUNES DEL EDIFICIO

Supplier(s)

EDIFICIO TORRE LAS AMERICAS

Amount

11,830.8 pesos mexicanos

Signature date

1 de enero de 2015

Execution period

1 de enero de 2015 to 31 de diciembre de 2011

Internal award code

FFM-GRC-003-15

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

Official documents

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

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/contracts?limit=1&sort=&embed=true&db_prefix=&id=FFM-GRC-003-15-FFM-GRC-003-15")

Python (json)

Add this to your code:


                        import json, urllib 


                        #Read JSON data into python  

                        response = urllib2.urlopen('http://localhost:10010/v3/contracts?limit=1&sort=&embed=true&db_prefix=&id=FFM-GRC-003-15-FFM-GRC-003-15')   

                        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/contracts?limit=1&sort=&embed=true&db_prefix=&id=FFM-GRC-003-15-FFM-GRC-003-15')

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MANTENIMIENTO DE AREAS COMUNES DEL EDIFICIO

CONTRACT SUMMARY FFM-GRC-003-15-FFM-GRC-003-15

CONTRACT QUALITY

PLANNING

CALL FOR TENDERS

AWARD AND CONTRACT

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

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