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Description
NEONATAL NÚMERO DE CATÁLOGO: 8410179, PARA SU USO EN EL EQUIPO: CLAVE 531 941 1012 VENTILADOR DE ALTA FRECUENCIA OSCILATORIA PEDIÁTRICO / NEONATAL CON MODO CONVENCIONAL
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.808.2206.00
Presentation
CAJA 5 PIEZAS.
Each circle represents one of the 3 purchases of SENSOR DE FLUJO made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Nayarit Almacen Delegacional En Nayarit | Nayarit | 1 | 6,436.5 MXN | 839.5 MXN | 15 % | 0.15 | 28 de mayo de 2009 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 26,100 MXN | 3,600 MXN | 16 % | 0.8 | 27 de mayo de 2016 |
| H. de Especialidades No. 1, "Lic. Ignacio García Tellez" Mérida, Yucatán. Umae Especialidades Yucatan | Yucatán | 1 | 51,086.4 MXN | 7,046.4 MXN | 16 % | 1.28 | 26 de julio de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 1 | 3,600 MXN | 16 % | 0.8 | 2016 - 2016 |
| MEDICAL ADVANCED SUPPLIES, S.A. DE C.V. | 1 | 7,046.4 MXN | 16 % | 1.28 | 2018 - 2018 |
| YALIERCP, S.A. DE C.V. | 1 | 839.5 MXN | 15 % | 0.15 | 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=379.808.2206.00")
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=379.808.2206.00')
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=379.808.2206.00')