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Description
PARA SU USO EN EL EQUIPO: CENTRAL DE MONITOREO PARA 8 CAMAS, CLAVE: 531.632.0497, MARCA: DATEXOHMEDA, MODELO: INFORMATION CENTER, NUMERO DE CATALOGO: 877408
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.107.0463.00
Each circle represents one of the 1 purchases of BRAZALETE PEDIATRICO made by the IMSS between 2010 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Traumatología y Ortopedia, Núm. 21, Monterrey, N.L. Umae Traumatologia Y Ortopedia Nuevo Leon | Nuevo León | 1 | 701.2 MXN | 0.0000293 MXN | 0.00000418 % | 0.0000000836 | 13 de septiembre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MULTI MEDICA, S.A. DE C.V. | 1 | 0.0000293 MXN | 0.00000418 % | 0.0000000836 | 2010 - 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=379.107.0463.00")
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=379.107.0463.00')
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=379.107.0463.00')