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Description
NO 1 CON NÚMERO DE CATÁLOGO: 420155300, PARA SU USO EN EL EQUIPO CON CLAVE : 531 053 0109, EQUIPO DE ANESTESIA INTERMEDIO PARA SEGUNDO NIVEL, MARCA: DATEXOHMEDA, MODELO: AESTIVA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.614.0758.01
Each circle represents one of the 6 purchases of MASCARILLA made by the IMSS between 2010 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 3 | 5,162 MXN | 480 MXN | 10.7 % | 19.2 | 10 de junio de 2015 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 2 | 522 MXN | 72 MXN | 16 % | 0.48 | 1 de enero de 2011 |
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 1 | 3,850.3 MXN | 1,853.9 MXN | 92.9 % | 16.7 | 12 de marzo de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONTINENTAL MEXICANA DE PRODUCTOS, S.A. DE C.V. | 2 | 480 MXN | 16 % | 19.2 | 2014 - 2014 |
| MULTI MEDICA, S.A. DE C.V. | 2 | 72 MXN | 16 % | 0.48 | 2010 - 2011 |
| AZTEC MEDICA, S.A. DE C.V. | 1 | - MXN | - | - | 2015 - 2015 |
| SERVICIOS MEDICOS Y TECNICOS, S.A. DE C.V. | 1 | 1,853.9 MXN | 92.9 % | 16.7 | 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=379.614.0758.01")
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=379.614.0758.01')
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=379.614.0758.01')