Let me know when the data is updated again

Company in México

DIKYSA

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?

Summary of contract activity as supplier

115 contract as supplier for a total of 12 millones (12,038,509.906 ) between 2012 and 2022.

Annual evolution of contract

Procedure type

Main entities

Subdirección de Recursos Materiales ( from Hospital Regional de Alta Especialidad de Oaxaca )

Coordinación de Abastecimiento y Equipamiento ( from Instituto Mexicano del Seguro Social )

Oficina de Adquisiciones de la Delegación Veracruz Norte ( from Instituto Mexicano del Seguro Social )

Largest contract

25501 MATERIALES, ACCESORIOS Y SUMINISTROS DE LABORATORIO

Adquisición de Material de Curación

MATERIAL DE CURACION

See all contract of this supplier

Location

Country

México

GENERAL INFORMATION

Identifiers

RUPC: 13426

RFC: DIK950109PRA

Date updated in QQW

24 de enero de 2019

Source(s)

CompraNet (Plus)

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/companies?limit=1&sort=&embed=true&db_prefix=&id=dikysa")

Python (json)

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=dikysa')   

                        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=dikysa')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

DIKYSA

Summary of contract activity as supplier

Annual evolution of contract

Procedure type

Main entities

Largest contract

Location

GENERAL INFORMATION

Import and use data

Customize cookie preferences