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CONTRACT SUMMARY 21353015-111-07-502156

Total amount

285,824 pesos mexicanos

Contract period(s)

Between 18 de mayo de 2007 and Fecha desconocida

Buying unit

Gerencia General de la Sucursal Cuenca de México in México

Proveedor(es)

SKYCELL S.A. DE C.V.

This contract is part of a record. See record ocds-0ud2q6-21353015-111-07 in Open Contracting Data Standard format.

See contract on web.compranet.gob.mx:8000

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

FONATUR BMO S.A. DE C.V.

Buying unit

Gerencia General de la Sucursal Cuenca de México (Code: 21353015 )

Call type

Adjudicacion Directa (direct)

Scope

Nacional

Purchase type

Servicios (services)

Call status

complete

AWARD AND CONTRACT

Call title

Instalaciones

Award title

Instalaciones

Contract title

Instalaciones

Supplier(s)

SKYCELL S.A. DE C.V.

Amount

285,824 pesos mexicanos

Signature date

18 de mayo de 2007

Execution period

18 de mayo de 2007 to Fecha desconocida

Internal award code

502156

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

Official documents

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

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/contracts?limit=1&sort=&embed=true&db_prefix=&id=21353015-111-07-502156")

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=21353015-111-07-502156')   

                        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=21353015-111-07-502156')

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Instalaciones

CONTRACT SUMMARY 21353015-111-07-502156

CONTRACT QUALITY

PLANNING

CALL FOR TENDERS

AWARD AND CONTRACT

IMPLEMENTATION

GENERAL INFORMATION

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