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Description
VALVULA MITRAL BIOLOGICA BIOPROTESIS VALVULAR CARDIACAMITRAL DE BOVINO O PORCINO CAL 29.
IMSS product code
060.932.6376.02
Each circle represents one of the 3 purchases of PRÓTESIS VALVULARES CARDÍACAS made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 2 | 356,925.8 MXN | 46,364 MXN | 15.2 % | 2.39 | 8 de enero de 2010 |
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 1 | 23,977.5 MXN | 4,309.3 MXN | 21.9 % | 0.219 | 3 de marzo de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| EDWARDS LIFESCIENCES MEXICO, S. A. DE C. V. | 3 | 50,673.3 MXN | 17.4 % | 2.61 | 2009 - 2010 |
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=060.932.6376.02")
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=060.932.6376.02')
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=060.932.6376.02')