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Mantenimiento Predictivo, Preventivo Y Correctivo Al Sistema Inteligente.

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CONTRACT SUMMARY 18400004-069-06-IIIS-COM-COP-105-06

Total amount

2.3 millones de pesos mexicanos (2,306,884.66 MXN)

Contract period(s)

Between 12 de enero de 2007 and Fecha desconocida

Buying unit

Subgerencia de Contratos y Concursos in México

Proveedor(es)

GUSTAVO SANCHEZ LEAL

This contract is part of a record. See record ocds-0ud2q6-18400004-069-06 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

III SERVICIOS, S. A. DE C. V.

Buying unit

Subgerencia de Contratos y Concursos (Code: 18400004 )

Call type

Licitación Pública (open)

Scope

Nacional

Purchase type

Obra Publica (works)

Call status

complete

AWARD AND CONTRACT

Call title

Mantenimiento Predictivo, Preventivo Y Correctivo Al Sistema Inteligente.

Award title

Mantenimiento Predictivo, Preventivo Y Correctivo Al Sistema Inteligente.

Contract title

Mantenimiento Predictivo, Preventivo Y Correctivo Al Sistema Inteligente.

Supplier(s)

GUSTAVO SANCHEZ LEAL

Amount

2.3 millones de pesos mexicanos (2,306,884.66 MXN)

Signature date

12 de enero de 2007

Execution period

12 de enero de 2007 to Fecha desconocida

Internal award code

IIIS-COM-COP-105-06

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)

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=18400004-069-06-IIIS-COM-COP-105-06")

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=18400004-069-06-IIIS-COM-COP-105-06')   

                        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=18400004-069-06-IIIS-COM-COP-105-06')

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Mantenimiento Predictivo, Preventivo Y Correctivo Al Sistema Inteligente.

CONTRACT SUMMARY 18400004-069-06-IIIS-COM-COP-105-06

CONTRACT QUALITY

PLANNING

CALL FOR TENDERS

AWARD AND CONTRACT

IMPLEMENTATION

GENERAL INFORMATION

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