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Description
PARA INYECCION DE MATERIAL DE CONTRASTE Y SOLUCIONES ESPECIFICO PARA INYECTOR MARCA MEDRAD MODELO SPECTRIS SOLARIS. EMPAQUE QUE CONTIENE 2 JERINGAS: DE 65 ML Y 115 ML, 1 TUBO DE LLENADO Y 1 TUBO CONECTOR.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.437.0522.00
Each circle represents one of the 13 purchases of JUEGO DE JERINGAS made by the IMSS between 2013 and 2019.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 5 | 484,154.7 MXN | 66,780 MXN | 16 % | 181.6 | 9 de enero de 2019 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 4 | 86,824.9 MXN | 11,975.9 MXN | 18.5 % | 36.3 | 29 de mayo de 2015 |
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 3 | 427,527.3 MXN | 58,969.3 MXN | 16 % | 156.8 | 13 de febrero de 2018 |
| H. de Pediatría, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco. Umae Pediatria Jalisco | Jalisco | 1 | 181,354.4 MXN | 25,014.4 MXN | 16 % | 64 | 28 de febrero de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| JUAMA, S.A. DE C.V. | 13 | 162,739.5 MXN | 16.8 % | 438.7 | 2013 - 2019 |
Entity type
Consumibles de equipos medicos y de laboratorio
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.
Add this to your code:
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=379.437.0522.00")
Add this to your code:
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=379.437.0522.00')
data = json.loads(response.read())
Add this to your code:
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=379.437.0522.00')