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Description
(ESTERILIZABLE EN AUTOCLAVE) NÚMERO DE CATÁLOGO: N5201, PARA SU USO EN EL EQUIPO: CLAVE 531 941 0956 VENTILADOR NEONATAL DE ULTRA ALTA FRECUENCIA, MARCA: SLE, MODELO: 5000. PIEZA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.808.1729.00
Each circle represents one of the 3 purchases of SENSOR DE FLUJO made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 3 | 33,516.1 MXN | 4,520.1 MXN | 22 % | 0.94 | 2 de junio de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| YALIERCP, S.A. DE C.V. | 3 | 4,520.1 MXN | 22 % | 0.94 | 2009 - 2010 |
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=379.808.1729.00")
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=379.808.1729.00')
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=379.808.1729.00')