Let me know when the data is updated again

Expediente

Servicio de sustitucion de aplanado en los núcleos sanitarios cuartos

SHARE

The copied or shared URL is the exact current page, including any filters applied if you are in the search.
REPORT

What do you want to report?

RECORD SUMMARY ocds-0ud2q6-C/148/2016

Total amount

252.7 millones (252,717,049 )

Number of contracts

Buying unit

DIRECCIÓN ADMINISTRATIVA belonging to PRONÓSTICOS PARA LA ASISTENCIA PÚBLICA

PLANNING

No data

CALL FOR TENDERS

Government agency

PRONÓSTICOS PARA LA ASISTENCIA PÚBLICA

Buying unit

DIRECCIÓN ADMINISTRATIVA

Call type

INVITACION A TRES PERSONAS (limited)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code C/148/2016

Title

Servicio de sustitucion de aplanado en los núcleos sanitarios cuartos

View contract

Supplier(s)

MASS-Arquitectura S.A de C.V.

Amount

252.7 millones pesos mexicanos (252,717,049 MXN)

Award status

active

Signature date

27 de octubre de 2016

Execution period

21 de octubre de 2016 to 19 de diciembre de 2016

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-C%2F148%2F2016")

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-C%2F148%2F2016')   

                        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-C%2F148%2F2016')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

Servicio de sustitucion de aplanado en los núcleos sanitarios cuartos

RECORD SUMMARY ocds-0ud2q6-C/148/2016

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

Customize cookie preferences