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Description
NIV CLASSICSTAR TAMAÑO L NÚMERO DE CATÁLOGO: MP01575, PARA SU USO EN EL EQUIPO MEDICO: CLAVE 531 941 0980 03 01 VENTILADOR VOLUMÉTRICO ADULTO PEDIÁTRICO NEONATAL, MARCA: DRAGER, MODELO: EVITA 4. PIEZA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.614.3950.00
Each circle represents one of the 12 purchases of MASCARILLA made by the IMSS between 2015 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 3 | 43,642 MXN | 5,869.1 MXN | 29.2 % | 8.25 | 6 de enero de 2018 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 2 | 9,884.3 MXN | - MXN | - | - | 12 de julio de 2016 |
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 1 | 52,780 MXN | 2,344.2 MXN | 4.65 % | 3.25 | 1 de agosto de 2018 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 3,619.2 MXN | 239.2 MXN | 7.08 % | 0.354 | 8 de octubre de 2015 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 1,851.7 MXN | 410.7 MXN | 28.5 % | 0.57 | 20 de noviembre de 2018 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 89,088 MXN | 25,434.9 MXN | 40 % | 24 | 19 de octubre de 2016 |
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 1 | 13,154.4 MXN | 1,339.2 MXN | 11.3 % | 2.04 | 1 de enero de 2017 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 1 | 1,085.8 MXN | 409.8 MXN | 60.6 % | 0.606 | 27 de octubre de 2015 |
| H. de Especialidades Núm 71, Torreón, Coahuila Umae Especialidades Coahuila | Coahuila | 1 | 14,069.6 MXN | 4,703 MXN | 50.2 % | 6.53 | 11 de enero de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| IMPULSORA LIDER S.A. DE C.V. | 3 | 5,869.1 MXN | 29.2 % | 8.25 | 2016 - 2018 |
| MEDSOLUTIONS, S.A. DE C.V. | 3 | 6,281.4 MXN | 22.9 % | 8.92 | 2015 - 2018 |
| OMNINUS, S.A. DE V.C. | 3 | 25,434.9 MXN | 13.3 % | 24 | 2016 - 2016 |
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 1 | 2,344.2 MXN | 4.65 % | 3.25 | 2018 - 2018 |
| DRAGER MEDICAL MEXICO, S. A. DE C. V. | 1 | 410.7 MXN | 28.5 % | 0.57 | 2018 - 2018 |
| MEDICAL ADVANCED SUPPLIES, S.A. DE C.V. | 1 | 409.8 MXN | 60.6 % | 0.606 | 2015 - 2015 |
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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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=379.614.3950.00")
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=379.614.3950.00')
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=379.614.3950.00')