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Description
DE 30 PULGADAS NUMERO CATÁLOGO PROVEEDOR: 41-113-028, MARCA DEVILBISS, MODELO OMITIDO, REFACION PARAEQUIPO: NEBULIZADORES ULTRASONICOS.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.604.0073.00
Each circle represents one of the 7 purchases of MANGUERA made by the IMSS between 2009 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 3 | 2,713.1 MXN | 197.4 MXN | 10.3 % | 1.09 | 26 de julio de 2012 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 2 | 6,380 MXN | 2,329.4 MXN | 57.5 % | 5.75 | 14 de diciembre de 2011 |
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 1 | 638 MXN | 88 MXN | 16 % | 1.6 | 17 de junio de 2016 |
| Delegación Querétaro Almacen Delegacional En Queretaro | Querétaro | 1 | 348 MXN | - MXN | - | - | 16 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| G MEDICA, S.A. DE C.V. | 2 | 143.4 MXN | 8 % | 0.64 | 2011 - 2012 |
| PROTECNOLOGICA INTEGRAL MUVA, S.A. DE C.V. | 2 | 2,329.4 MXN | 57.5 % | 5.75 | 2011 - 2011 |
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 1 | 88 MXN | 16 % | 1.6 | 2016 - 2016 |
| CORPORACION MEXICANA GIVMA, S.A. DE C.V. | 1 | - MXN | - | - | 2011 - 2011 |
| DISTRIBUIDORA MEDICO TECNICA LA UNION, S.A. DE C. | 1 | 54 MXN | 15 % | 0.45 | 2009 - 2009 |
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=379.604.0073.00")
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=379.604.0073.00')
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=379.604.0073.00')