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Description
INFANTE NO 0, PARA SU USO EN EL EQUIPO: UNIDAD DE ANESTESIA DE ALTA ESPECIALIDAD, CLAVE: 531 053 0356, MARCA: DATEXOHMEDA, MODELO: ADU, NÚMERO DE CATÁLOGO: 420150000
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.614.0733.00
Each circle represents one of the 7 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 Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 5 | 2,638.8 MXN | 225 MXN | 12.8 % | 1.76 | 5 de junio de 2013 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 49.9 MXN | 6.88 MXN | 16 % | 0.16 | 6 de noviembre de 2014 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 1 | 1,794 MXN | 575.8 MXN | 47.3 % | 5.67 | 8 de abril de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INSTRUMEDICAL, S.A. DE C.V. | 4 | 737.4 MXN | 23.8 % | 6.47 | 2009 - 2012 |
| CONTINENTAL MEXICANA DE PRODUCTOS, S.A. DE C.V. | 1 | 6.88 MXN | 16 % | 0.16 | 2014 - 2014 |
| ORTO-PAC, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| SERVS DE ING EN MEDICINA DE OTE, S.A. DE C.V. | 1 | 63.4 MXN | 16 % | 0.96 | 2013 - 2013 |
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=379.614.0733.00")
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=379.614.0733.00')
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=379.614.0733.00')