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Company in México

SWETS INFORMATION SERVICES B.V.

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Summary of contract activity as supplier

40 contract as supplier for a total of 55.5 millones (55,454,502.516 ) between 2005 and 2012.

Annual evolution of contract

Procedure type

Main entities

Subdirección de Recursos Materiales y Servicios Generales ( from CENTRO DE INVESTIGACIÓN Y DE ESTUDIOS AVANZADOS DEL IPN )

Subdirección de Recursos Materiales ( from INSTITUTO NACIONAL DE PSIQUIATRÍA "RAMÓN DE LA FUENTE MUÑÍZ" )

Departamento de Adquisiciones ( from UNIVERSIDAD DE GUANAJUATO )

Largest contract

Adquisiciýn y suscripciýn de revistas cientýficas provenientes de diversas partes del mundo

ACCESO ELECTRONICO A 9100 ARTICULOS CIENTIFICOS Y TECNOLOGICOS DEL EDITOR ELSEVIER

Suscripción a un paquete de 119 titulos de revistas especializadas en el área médica, en formato electrónico y papel..

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Location

Country

GENERAL INFORMATION

Alternative names

SWETS INFORMATION SERVICES, B.V.
SWETS INFORMATION SERVICES BV

Date updated in QQW

9 de mayo de 2021

Source(s)

CompraNet 3.0 , Portal de Obligaciones de Transparencia (POT)

Part of the project

TodosLosContratos.mx

Organization responsible for the import

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.

Add this to your code:



                        library(rjson) 

                        #Read JSON data into R  

                        data <- fromJSON(file="http://localhost:10010/v3/companies?limit=1&sort=&embed=true&db_prefix=&id=swets-information-services-bv")

Add this to your code:


                        import json, urllib 


                        #Read JSON data into python  

                        response = urllib2.urlopen('http://localhost:10010/v3/companies?limit=1&sort=&embed=true&db_prefix=&id=swets-information-services-bv')   

                        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/companies?limit=1&sort=&embed=true&db_prefix=&id=swets-information-services-bv')