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Description
PROTESIS VALVULAR CARDIACA. VALVULAS MITRALES BIOLOGICAS. BIOPROTESIS VALVULAR CARDIACA MITRAL, DE BOVINO O PORCINO CALIBRE 25.
IMSS product code
060.932.6350.04
Each circle represents one of the 34 purchases of PRÓTESIS VALVULARES CARDÍACAS made by the IMSS between 2009 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SJ MEDICAL MEXICO, S. DE R.L. DE C.V. | 8 | 35,240.4 MXN | 19.7 % | 2.84 | 2011 - 2016 |
| RENTAS Y SERVICIOS DIVERSOS, S. A. DE C. V. | 7 | 147,687.4 MXN | 37.9 % | 6.11 | 2009 - 2012 |
| SELECCIONES MEDICAS, S. A. DE C. V. | 5 | 33,088.5 MXN | 23.7 % | 1.46 | 2009 - 2011 |
| BIOMEDICAL GLOBE, S.A. DE C.V. | 4 | 75,852.9 MXN | 38.5 % | 5.34 | 2016 - 2017 |
| EDWARDS LIFESCIENCES MEXICO, S. A. DE C. V. | 3 | 8,760.8 MXN | 11.9 % | 0.405 | 2010 - 2010 |
| CAFIMED S. DE R.L. DE C.V. | 1 | 31,033.3 MXN | 18.7 % | 1.87 | 2018 - 2018 |
| CATRANE, S.A. DE C.V. | 1 | 41,664 MXN | 16 % | 1.92 | 2018 - 2018 |
| ESPECIALISTAS EN APLICACIONES Y SOPORTE TECNICO ME | 1 | 5,779.5 MXN | 41.7 % | 0.417 | 2016 - 2016 |
| GAMA COMERCIAL, S. DE R. L. DE C. V. | 1 | 21,543.3 MXN | 162.5 % | 1.63 | 2015 - 2015 |
| MR MULTISERVICIOS MEDICOS SA DE CV | 1 | - MXN | - | - | 2017 - 2017 |
| SELECCIONES MEDICAS DEL CENTRO. S. A. DE C. V. | 1 | 4,795.7 MXN | 9.02 % | 0.361 | 2013 - 2013 |
| VISORA MEDICA SA DE CV | 1 | 870.7 MXN | 2.62 % | 0.0524 | 2018 - 2018 |
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=060.932.6350.04")
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=060.932.6350.04')
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=060.932.6350.04')