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Description
DE POLIPROPILENO TEREFTALATO CON TUBO DE LLENADO EN FORMA DE "J" Y TUBO CONECTOR DE BAJA PRESION, PARA INYECCION DE MATERIAL DE CONTRASTE Y SOLUCIONES, ESPECIFICA PARA INYECTORES MARCA MEDRAD MODELOS VISTRON Y ENVISION.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.437.0191.00
Each circle represents one of the 2 purchases of JUEGO DE JERINGAS made by the IMSS between 2012 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Oncología, Centro Médico Nacional Siglo XXI Umae Oncologia C.m.n. Siglo Xxi | Ciudad de México | 2 | 128,760 MXN | 17,760 MXN | 16 % | 96 | 12 de diciembre de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| JUAMA, S.A. DE C.V. | 2 | 17,760 MXN | 16 % | 96 | 2012 - 2012 |
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=379.437.0191.00")
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=379.437.0191.00')
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=379.437.0191.00')