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Description
ADULTO NO5, PARA SU USO EN EL EQUIPO: EQUIPO DE ANESTESIA INTERMEDIO PARA SEGUNDO NIVEL, CLAVE: 531 053 0109, MARCA: DATEXOHMEDA, MODELO: AESTIVA, NÚMERO DE CATÁLOGO: 420151500.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.614.0634.00
Each circle represents one of the 15 purchases of MASCARILLA made by the IMSS between 2010 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 4 | 31,415.9 MXN | 4,071.6 MXN | 2,540.7 % | 101.6 | 18 de marzo de 2015 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 3 | 1,176.9 MXN | 656.1 MXN | 323.8 % | 18.5 | 24 de mayo de 2016 |
| Delegación Campeche Almacen Delegacional En Campeche | Campeche | 2 | 4,086.9 MXN | 1,337.9 MXN | 80.9 % | 33.6 | 4 de mayo de 2012 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 2 | 2,020.7 MXN | 328.1 MXN | 26.7 % | 7.04 | 27 de mayo de 2016 |
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 1 | 313.2 MXN | 111.4 MXN | 55.2 % | 1.66 | 12 de diciembre de 2011 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 1,080.2 MXN | 5.59 MXN | 0.52 % | 0.25 | 15 de julio de 2016 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 303.4 MXN | 169.1 MXN | 125.9 % | 7.55 | 31 de octubre de 2016 |
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 1 | 7,540 MXN | 4,048.3 MXN | 115.9 % | 115.9 | 2 de octubre de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 3 | 760.6 MXN | 341.7 % | 19.9 | 2011 - 2016 |
| DEGASA, S. A. DE C. V. | 2 | - MXN | - | - | 2012 - 2015 |
| CESAR PATRICIO ALVA MARTINEZ | 1 | 361.9 MXN | 11 % | 0.11 | 2010 - 2010 |
| CONTINENTAL MEXICANA DE PRODUCTOS, S.A. DE C.V. | 1 | 6.84 MXN | 1.61 % | 0.305 | 2016 - 2016 |
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 1 | 100.2 MXN | 37.3 % | 4.48 | 2016 - 2016 |
| DIMARLAB SA DE CV | 1 | 4,048.3 MXN | 115.9 % | 115.9 | 2015 - 2015 |
| EXE CORPORATIVO SA DE CV | 1 | 1,094.1 MXN | 149.7 % | 29.9 | 2012 - 2012 |
| GRUPO SUPROHOCAM, S.A. DE C.V. | 1 | 243.8 MXN | 12.1 % | 3.62 | 2011 - 2011 |
| IMPULSORA LIDER S.A. DE C.V. | 1 | 5.59 MXN | 0.52 % | 0.25 | 2016 - 2016 |
| RUIZ RODRIGUEZ ELENA | 1 | 169.1 MXN | 125.9 % | 7.55 | 2016 - 2016 |
| SERVICIOS MEDICOS Y TECNICOS, S.A. DE C.V. | 1 | 227.8 MXN | 16 % | 2.56 | 2013 - 2013 |
| SUMINISTRO MEDICO AVANZADO S.DE R.L. DE C.V. | 1 | 3,709.7 MXN | 10,151.8 % | 101.5 | 2012 - 2012 |
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=379.614.0634.00")
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=379.614.0634.00')
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=379.614.0634.00')