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Description
INFANTIL NÚMERO CATÁLOGO PROVEEDOR 5283, MARCA BENNETT, MODELO OMITIDO REFACCIÓN PARA EQUIPO: UNIDAD DE RESPIRACION.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.614.0295.00
Each circle represents one of the 7 purchases of MASCARILLA made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 3 | 287.8 MXN | 39.7 MXN | 16 % | 1.28 | 1 de agosto de 2018 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 3 | 6,174.9 MXN | 822.9 MXN | 15.3 % | 3.69 | 13 de mayo de 2010 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 1 | 2,895.4 MXN | 399.4 MXN | 16 % | 7.68 | 1 de enero de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 3 | 822.9 MXN | 15.3 % | 3.69 | 2009 - 2010 |
| IMPULSORA LIDER S.A. DE C.V. | 2 | 19.4 MXN | 16 % | 0.8 | 2017 - 2018 |
| HOSPITECNICA, S. A. DE C. V. | 1 | 399.4 MXN | 16 % | 7.68 | 2013 - 2013 |
| INVESTIGACION Y DESARROLLO EN EQU. MED., SA CV | 1 | 20.3 MXN | 16 % | 0.48 | 2016 - 2016 |
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=379.614.0295.00")
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=379.614.0295.00')
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=379.614.0295.00')