undefined - Expediente - QuienEsQuien.wiki

Let me know when the data is updated again

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-SLP-LPI00641234008-D85109

Total amount

13.5 millones (13,488,810.58 )

Number of contracts

Buying unit

Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi belonging to Instituto Mexicano del Seguro Social at level region (desconocido)

PLANNING

No data

CALL FOR TENDERS

Government agency

Instituto Mexicano del Seguro Social

Level of government

region (desconocido)

Buying unit

Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi

Call type

Licitación pública (open)

AWARDS AND CONTRACTS

Awarded contract code 10662103

Title

View contract

Supplier(s)

HEMOSER, S.A. DE C.V. (RFC: HEM9808262E0)

Amount

13.5 millones pesos mexicanos (13,488,810.58 MXN)

Execution period

1 de julio de 2008 to 31 de diciembre de 2010

Official documents

See awardNotice 1 on official site compras.imss.gob.mx

This is a multi-year contract

IMPLEMENTATION

No data

GENERAL INFORMATION

Source(s)

comprasimss

Part of the project

Salud, Dinero y Corrupción

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-SLP-LPI00641234008-D85109")

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-SLP-LPI00641234008-D85109')   

                        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-SLP-LPI00641234008-D85109')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

RECORD SUMMARY ocds-0ud2q6-SLP-LPI00641234008-D85109

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

Customize cookie preferences