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MATERIALES PARA MANTENIMIENTO A OFICINAS DE FINANCIERA RURAL

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RECORD SUMMARY ocds-0ud2q6-X1P1010/0069

Total amount

41,229.8

Number of contracts

Buying unit

GERENCIA CENTRAL belonging to FONATUR MANTENIMIENTO TURÍSTICO S.A. DE C.V antes NACIONAL HOTELERA DE BAJA CALIFORNIA S.A. DE C.V.

PLANNING

No data

CALL FOR TENDERS

Government agency

FONATUR MANTENIMIENTO TURÍSTICO S.A. DE C.V antes NACIONAL HOTELERA DE BAJA CALIFORNIA S.A. DE C.V.

Buying unit

GERENCIA CENTRAL

Call type

ADJUDICACION DIRECTA (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code X1P1010/0069

Title

MATERIALES PARA MANTENIMIENTO A OFICINAS DE FINANCIERA RURAL

View contract

Supplier(s)

CABRERA HERNÁNDEZ FRANCISCO

Amount

41,229.8 pesos mexicanos

Award status

active

Signature date

12 de noviembre de 2010

Execution period

12 de noviembre de 2010 to 12 de noviembre de 2010

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.

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R (json)

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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-X1P1010%2F0069")

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-X1P1010%2F0069')   

                        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-X1P1010%2F0069')

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MATERIALES PARA MANTENIMIENTO A OFICINAS DE FINANCIERA RURAL

RECORD SUMMARY ocds-0ud2q6-X1P1010/0069

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

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