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Description
ADULTO DRYLINE NÚMERO DE CATÁLOGO: 9200-10-10530, PARA USO EN EL EQUIPO: MONITOR DE SIGNOS VITALES, CLAVE: 531 619 0403, MARCA: MINDRAY, MODELO: PM 6000
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.892.0389.00
Presentation
PAQUETE CON 10 PIEZAS.
Each circle represents one of the 4 purchases of TRAMPA DE AGUA made by the IMSS between 2015 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 2 | 290,230.8 MXN | 42,131.8 MXN | 23.6 % | 5.42 | 13 de julio de 2017 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 16,240 MXN | 140 MXN | 0.87 % | 0.0174 | 14 de octubre de 2016 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 28,710 MXN | 3,960 MXN | 16 % | 0.8 | 4 de junio de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 2 | 4,100 MXN | 8.43 % | 0.817 | 2015 - 2016 |
| JUAN JOSE HERNANDEZ RODRIGUEZ | 1 | 5,012 MXN | 31.1 % | 0.623 | 2016 - 2016 |
| PROMEDICA GARCIA, S. A. DE C. V. | 1 | 37,119.8 MXN | 16 % | 4.8 | 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=379.892.0389.00")
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=379.892.0389.00')
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=379.892.0389.00')