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Description
CON FILTRO INTERCAMBIABLE NÚMERO DE CATÁLOGO: F911213, PARA SU USO EN EL EQUIPO MEDICO CLAVE: 531 941 0980 VENTILADOR VOLUMÉTRICO, MARCA: MEDICA D, MODELO: SMART. PIEZA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.892.0165.00
Each circle represents one of the 7 purchases of TRAMPA DE AGUA made by the IMSS between 2013 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 3 | 130,500 MXN | 93,065.8 MXN | 309.7 % | 60.4 | 10 de julio de 2018 |
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 1 | 8,537.6 MXN | 1,177.6 MXN | 16 % | 0.32 | 7 de noviembre de 2016 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 5,633 MXN | 777 MXN | 16 % | 0.32 | 26 de noviembre de 2014 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 43,848 MXN | 6,048 MXN | 16 % | 2.4 | 24 de noviembre de 2015 |
| H. de Traumatología y Ortopedia, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Traumatologia Y Ortopedia Puebla | Puebla | 1 | 11,832 MXN | 1,632 MXN | 16 % | 0.32 | 6 de marzo de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MAGNA DEL NORTE SA DE CV | 3 | 93,065.8 MXN | 309.7 % | 60.4 | 2018 - 2018 |
| SERVICIO Y SOPORTE BIOMEDICO, S. A. DE C. V. | 3 | 3,586.6 MXN | 16 % | 0.96 | 2013 - 2016 |
| INALMEDICA, S.A. DE C.V. | 1 | 6,048 MXN | 16 % | 2.4 | 2015 - 2015 |
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=379.892.0165.00")
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=379.892.0165.00')
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=379.892.0165.00')