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Description
INFANTE NO0, PARA SU USO EN EL EQUIPO: EQUIPO DE ANESTESIA INTERMEDIO PARA SEGUNDO NIVEL, CLAVE: 531 053 0109, MARCA: DATEXOHMEDA, MODELO: AESTIVA, NÚMERO DE CATÁLOGO: 420150000
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.614.0741.00
Each circle represents one of the 9 purchases of MASCARILLA made by the IMSS between 2009 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 6 | 38,650.8 MXN | 7,151.3 MXN | 40.2 % | 47.9 | 15 de abril de 2014 |
| Delegación Campeche Almacen Delegacional En Campeche | Campeche | 2 | 2,025.4 MXN | - MXN | - | - | 4 de mayo de 2012 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 49.9 MXN | - MXN | - | - | 6 de noviembre de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SERVICIOS INTEGRALES DE APOYO MEDICOS, SA DE CV | 4 | 3,631.1 MXN | 51.5 % | 12.3 | 2009 - 2011 |
| EXE CORPORATIVO SA DE CV | 2 | - MXN | - | - | 2011 - 2012 |
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 1 | 2,933.8 MXN | 18.1 % | 27.2 | 2012 - 2012 |
| CONTINENTAL MEXICANA DE PRODUCTOS, S.A. DE C.V. | 1 | - MXN | - | - | 2014 - 2014 |
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 1 | 586.5 MXN | 16.9 % | 8.44 | 2014 - 2014 |
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=379.614.0741.00")
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=379.614.0741.00')
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=379.614.0741.00')