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Description
SENSIBLE AL VERDE 24 X 30 CM NÚMERO DE CATÁLOGO: 37HOJ, PARA SU USO EN EL EQUIPO CLAVE: 531 341 0440 UNIDAD RADIOLOGICA DE 300 MA, MARCA: CMR, MODELO: SISTEMA RADIOGRAFICO MRHII
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.687.0198.01
Presentation
CAJA CON 100 PELICULAS.
Each circle represents one of the 7 purchases of PELICULA made by the IMSS between 2009 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Gineco Obstetricia, "Lic. Ignacio García Tellez", Centro Médico Nacional de Occidente, Jalisco Umae Gineco - Obstetricia Jalisco | Jalisco | 3 | 270,863.3 MXN | 63,285.6 MXN | 26.9 % | 36.2 | 2 de junio de 2011 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 2 | 79,942.6 MXN | 9,239 MXN | 8 % | 11.5 | 7 de septiembre de 2012 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 29,493 MXN | 9,426 MXN | 47 % | 7.05 | 26 de noviembre de 2014 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 9,303.2 MXN | - MXN | - | - | 6 de noviembre de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| RELIABLE DE MEXICO, S. A. DE C. V. | 4 | 18,665 MXN | 15.7 % | 18.6 | 2011 - 2014 |
| MONTES GUILLEN JUAN GABRIEL | 1 | 1,237.5 MXN | 15 % | 0.75 | 2009 - 2009 |
| ROCHA MEZA MARIA GUADALUPE | 1 | 44,428.2 MXN | 49.8 % | 23.9 | 2011 - 2011 |
| TECNOLOGIA MEDICA HOSPITALARIA S.A DE C.V. | 1 | 17,619.8 MXN | 16 % | 11.5 | 2010 - 2010 |
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=379.687.0198.01")
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=379.687.0198.01')
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=379.687.0198.01')