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Description
NEGRA PARA NIBP (3 METROS) CON NÚMERO DE CATÁLOGO: 877235 PARA SU USO EN EL EQUIPO CON CLAVE: 531632 0554 CENTRAL DE MONITOREO PARA 5 CAMAS, MARCA: DATEXOHMEDA, MODELO: INFORMATION CENTER.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.604.0339.01
Each circle represents one of the 3 purchases of MANGUERA made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 15,080 MXN | 2,080 MXN | 16 % | 2.08 | 14 de junio de 2018 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 1 | 25,984 MXN | 3,584 MXN | 16 % | 4.48 | 1 de enero de 2013 |
| H. General, "Dr. Gaudencio González Garza" Centro Médico Nacional La Raza Umae Hospital General C.m.n. La Raza | Ciudad de México | 1 | 4,025 MXN | 525 MXN | 15 % | 0.75 | 19 de marzo de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| AMC BIOMEDICAL SA DE CV | 1 | 2,080 MXN | 16 % | 2.08 | 2018 - 2018 |
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 1 | 3,584 MXN | 16 % | 4.48 | 2013 - 2013 |
| INSTRUMENTOS BIOTECNOLOGICOS DE MEXICO, SA DE CV | 1 | 525 MXN | 15 % | 0.75 | 2009 - 2009 |
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=379.604.0339.01")
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=379.604.0339.01')
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=379.604.0339.01')