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RECORD SUMMARY ocds-0ud2q6-CHIH-C050282

Total amount

86,304

Number of contracts

Buying unit

Delegación Chihuahua Almacen Delegacional En Chihuahua 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 Chihuahua Almacen Delegacional En Chihuahua

Call type

Adjudicación Directa (direct)

AWARDS AND CONTRACTS

Awarded contract code 10610141

Title

View contract

Supplier(s)

DANIEL RAMIREZ VALDES (RFC: RAVD780807CW5)

Amount

86,304 pesos mexicanos

Execution period

27 de febrero de 2010 to 30 de junio de 2010

Official documents

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

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.

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                        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-CHIH-C050282")

Python (json)

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                        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-CHIH-C050282')   

                        data = json.loads(response.read())

Python (pandas, json)

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                        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-CHIH-C050282')

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RECORD SUMMARY ocds-0ud2q6-CHIH-C050282

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

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