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Unidad compradora federal in Costa Rica

TRIBUNAL SUPREMO DE ELECCIONES

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Summary of contract activity as buyer

3,879 contract as buyer for a total of 34.9 mil millones (34,865,004,325.12 ) between 2016 and 2021.

Annual evolution of contract

Procedure type

Main entities

INVERSIONES DE CINEMA DE COSTA RICA SOCIEDAD ANONIMA

IDEMIA-IAFIS-EL ORBE

PRODUCTIVE BUSINESS SOLUTIONS (COSTA RICA) SOCIEDAD ANONIMA

Largest contract

Spots en inversiones de CINEMA de CR, Elecciones 2018

SOLUCIÓN PARA IDENTIFICACIÓN Y COMPARACIÓN MULTI-BIOMETRICA AUTOMATIZADA (ABIS) Y EL SERVICIO DE MANTENIMIENTO PREVENTIVO Y CORRECTIVO DE DICHA SOLUCIÓN.

ARRENDAMIENTO DE EDIFICIO PARA EL ARCHIVO CIVIL Y UNIDAD DE TOMOS DEL REGISTRO CIVIL DEL TRIBUNAL SUPREMO DE ELECCIONES

See all contract of this buyer

Location

Country

Costa Rica

GENERAL INFORMATION

Entity type

unidad-compradora

Date updated in QQW

28 de noviembre de 2021

Source(s)

SICOP (Costa Rica)

Part of the project

TodosLosContratos.cr

Organization responsible for the import

INNOVAAP

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/institutions?limit=1&sort=&embed=true&db_prefix=&id=tribunal-supremo-de-elecciones")

Python (json)

Add this to your code:


                        import json, urllib 


                        #Read JSON data into python  

                        response = urllib2.urlopen('http://localhost:10010/v3/institutions?limit=1&sort=&embed=true&db_prefix=&id=tribunal-supremo-de-elecciones')   

                        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/institutions?limit=1&sort=&embed=true&db_prefix=&id=tribunal-supremo-de-elecciones')

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TRIBUNAL SUPREMO DE ELECCIONES

Summary of contract activity as buyer

Annual evolution of contract

Procedure type

Main entities

Largest contract

Location

GENERAL INFORMATION

Import and use data

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