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Description
INFANTE NIBP BLANCA CON NÚMERO DE CATÁLOGO: 877514 PARA SU USO EN EL EQUIPO CON CLAVE: 531 619 0403 MONITOR DE SIGNOS VITALES, MARCA: DATEXOHMEDA, MODELO: LIGHT MONITOR.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.604.0305.01
Each circle represents one of the 4 purchases of MANGUERA made by the IMSS between 2010 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Durango Almacen Delegacional En Durango | Durango | 2 | 11,112.8 MXN | 1,532.8 MXN | 16 % | 3.04 | 9 de octubre de 2017 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 5,568 MXN | 768 MXN | 16 % | 0.64 | 7 de febrero de 2013 |
| H. de Pediatría, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco. Umae Pediatria Jalisco | Jalisco | 1 | 4,183.8 MXN | 577.1 MXN | 16 % | 1.28 | 1 de mayo de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SERVICIOS MEDICOS Y TECNICOS, S.A. DE C.V. | 2 | 1,212.8 MXN | 16 % | 0.96 | 2010 - 2013 |
| COMERCIALIZADORA LOGMEDIC, S.A. DE C.V. | 1 | 1,088 MXN | 16 % | 2.72 | 2017 - 2017 |
| DISTRIBUIDORA DE EQUIPO MEDICO E INDUSTRIAL DE MEX | 1 | 577.1 MXN | 16 % | 1.28 | 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=379.604.0305.01")
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=379.604.0305.01')
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=379.604.0305.01')