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RECORD SUMMARY ocds-0ud2q6-SIN-D4M0473

Total amount

215,491.2

Number of contracts

Buying unit

Delegación Sinaloa Almacen Delegacional En Sinaloa 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 Sinaloa Almacen Delegacional En Sinaloa

Call type

Adjudicación Directa (direct)

AWARDS AND CONTRACTS

Awarded contract code 11154565

Title

View contract

Supplier(s)

MARTINEZ SOLANO LUIS (RFC: MASL491022MU3)

Amount

215,491.2 pesos mexicanos

Execution period

11 de abril de 2014 to 15 de julio de 2014

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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R (json)

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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-SIN-D4M0473")

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-SIN-D4M0473')   

                        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-SIN-D4M0473')

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RECORD SUMMARY ocds-0ud2q6-SIN-D4M0473

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

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