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Description
DE SILICON NO 3 CON NÚMERO DE CATÁLOGO: 420155300 PARA SU USO EN EL EQUIPO CON CLAVE: 531 053 0356 UNIDAD DE ANESTESIA DE ALTA ESPECIALIDAD, MARCA: DATEXOHMEDA, MODELO: ADU
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.614.0691.01
Each circle represents one of the 1 purchases of MASCARILLA made by the IMSS between 2013 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 110,246.4 MXN | 15,206.4 MXN | 16 % | 84.5 | 21 de junio de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| LITO MEDICAL S.A. DE C.V. | 1 | 15,206.4 MXN | 16 % | 84.5 | 2013 - 2013 |
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=379.614.0691.01")
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=379.614.0691.01')
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=379.614.0691.01')