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Description
PARA CAPNOGRAFIA NÚMERO DE CATÁLOGO: 60-13100-00, PARA SU USO EN EL EQUIPO MEDICO: CLAVE 531 053 0372 UNIDAD DE ANESTESIA INTERMEDIA, MARCA: PLARRE, MODELO: 9500. PIEZA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.892.0314.00
Each circle represents one of the 4 purchases of TRAMPA DE AGUA made by the IMSS between 2013 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 2 | 3,688.8 MXN | 510.8 MXN | 16 % | 0.804 | 7 de abril de 2017 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 2,756.2 MXN | 378.2 MXN | 15.9 % | 0.636 | 4 de noviembre de 2015 |
| H. de Pediatría, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco. Umae Pediatria Jalisco | Jalisco | 1 | 18,490.4 MXN | 2,550.4 MXN | 16 % | 3.2 | 22 de julio de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 2 | 761 MXN | 16 % | 1.28 | 2015 - 2015 |
| CASA PLARRE, S.A. DE C.V. | 1 | 2,550.4 MXN | 16 % | 3.2 | 2013 - 2013 |
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 1 | 128 MXN | 16 % | 0.16 | 2017 - 2017 |
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=379.892.0314.00")
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=379.892.0314.00')
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=379.892.0314.00')