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Description
PROTESIS VALVULAR CARDIACA. VALVULAS AORTICAS BIOLOGICAS BIOPROTESIS VALVULAR CARDIACA AORTICA, DE BOVINO O PORCINO, CALIBRE 21.
IMSS product code
060.932.6319.04
Each circle represents one of the 96 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. | 57 | 437,068.2 MXN | 36.1 % | 32.8 | 2011 - 2016 |
| RENTAS Y SERVICIOS DIVERSOS, S. A. DE C. V. | 12 | 463,471.7 MXN | 49.1 % | 21.4 | 2009 - 2012 |
| EDWARDS LIFESCIENCES MEXICO, S. A. DE C. V. | 8 | 99,498.2 MXN | 74.5 % | 5.96 | 2009 - 2015 |
| BIOMEDICAL GLOBE, S.A. DE C.V. | 5 | 295,036.2 MXN | 48.8 % | 22.3 | 2016 - 2017 |
| SELECCIONES MEDICAS, S. A. DE C. V. | 4 | 110,087.2 MXN | 13.3 % | 5.55 | 2009 - 2011 |
| VISORA MEDICA SA DE CV | 3 | 240,506.7 MXN | 13.4 % | 16 | 2018 - 2018 |
| PHARMACUR, S.A. DE C.V. | 2 | 34,499.8 MXN | 99.1 % | 1.98 | 2012 - 2012 |
| CAFIMED S. DE R.L. DE C.V. | 1 | 93,781.3 MXN | 31.2 % | 6.24 | 2018 - 2018 |
| CATRANE, S.A. DE C.V. | 1 | 416,640 MXN | 16 % | 19.2 | 2018 - 2018 |
| ESPECIALISTAS EN APLICACIONES Y SOPORTE TECNICO ME | 1 | 26,669.8 MXN | 51.4 % | 2.06 | 2016 - 2016 |
| MR MULTISERVICIOS MEDICOS SA DE CV | 1 | 8,598.3 MXN | 1.07 % | 0.645 | 2017 - 2017 |
| SELECCIONES MEDICAS DEL CENTRO. S. A. DE C. V. | 1 | 14,946.7 MXN | 2.95 % | 1.06 | 2013 - 2013 |
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=060.932.6319.04")
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=060.932.6319.04')
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=060.932.6319.04')