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Description
GRAPA PARA ANEURISMA, TAMA\OESTANDAR, FENESTRADA, DE MA-TERIAL NO MAGNETICO, P ERMANENTE CON UN DIAMETRO DE FENESTRACION DE 5.0 MM, EN ANGULO DE 90 GRADOS, LONG DEQUIJADA 5/11 MM, APERTURA5.5 MM, FUERZA EN GRAMOS150, MODELO YASA
IMSS product code
060.446.2127.01
Each circle represents one of the 1 purchases of GRAPAS made by the IMSS between 2012 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 1 | 2,985.8 MXN | 411.8 MXN | 16 % | 0.16 | 20 de diciembre de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| B. BRAUN AESCULAP DE MEXICO, S.A. DE C.V. | 1 | 411.8 MXN | 16 % | 0.16 | 2012 - 2012 |
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=060.446.2127.01")
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=060.446.2127.01')
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=060.446.2127.01')