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Description
INJERTOS VASCULAR VALVULADO PULMONAR. TUBULAR, CERO POROSIDAD, VALVULADO BIOLOGICO, DE BOVINO O PORCINO. CALIBRE. 20.
IMSS product code
060.506.2389.02
Each circle represents one of the 21 purchases of INJERTOS made by the IMSS between 2010 and 2017.
| 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 | 18 | 1.4 millones MXN | 188,491 MXN | 17 % | 5.07 | 1 de enero de 2017 |
| H. de Cardiología, Centro Médico Nacional Siglo XXI Umae Cardiologia C.m.n. Siglo Xxi | Ciudad de México | 3 | 127,832 MXN | 23,971.4 MXN | 23.3 % | 0.7 | 25 de julio de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SELECCIONES MEDICAS, S. A. DE C. V. | 14 | 109,151.3 MXN | 18.2 % | 3.12 | 2010 - 2013 |
| SELECCIONES MEDICAS DEL CENTRO. S. A. DE C. V. | 6 | 94,101.5 MXN | 16 % | 2.4 | 2014 - 2017 |
| PRODUCTOS MEDICOS PARA LA SALUD, S. A. DE C.V. | 1 | 9,209.6 MXN | 25 % | 0.25 | 2012 - 2012 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.506.2389.02")
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=060.506.2389.02')
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=060.506.2389.02')