Let me know when the data is updated again

ACTUALIZACION DEL ESTUDIO DE RIESGO

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-0ud2q6-4500007265

Total amount

77,000

Number of contracts

Buying unit

SUBDIRECCIÓN DE LA PLANTA DE PINTURAS Y EMULSIONES belonging to CAMINOS Y PUENTES FEDERALES DE INGRESOS Y SERVICIOS CONEXOS en proceso de reestructuración

PLANNING

No data

CALL FOR TENDERS

Government agency

CAMINOS Y PUENTES FEDERALES DE INGRESOS Y SERVICIOS CONEXOS en proceso de reestructuración

Buying unit

SUBDIRECCIÓN DE LA PLANTA DE PINTURAS Y EMULSIONES

Call type

ADJUDICACION DIRECTA (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 4500007265

Title

ACTUALIZACION DEL ESTUDIO DE RIESGO

View contract

Supplier(s)

ELEMENTO AMBIENTAL S.A. DE C.V.

Amount

77,000 pesos mexicanos

Award status

active

Signature date

25 de octubre de 2006

Execution period

25 de octubre de 2006 to 30 de noviembre de 2006

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-0ud2q6-4500007265")

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-0ud2q6-4500007265')   

                        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-0ud2q6-4500007265')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

ACTUALIZACION DEL ESTUDIO DE RIESGO

RECORD SUMMARY ocds-0ud2q6-4500007265

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

Customize cookie preferences