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Description
Catéter multipropósito con orificio terminal, de nylon o politetrafluoretileno, con capacidad de guía de 0.038”. Longitud 100 cm. Estéril y desechable. Calibre: 4 Fr
Classification
Material médico. Material de curacion
IMSS product code
060.166.3594.00
Presentation
Pieza
Each circle represents one of the 9 purchases of CATÉTERES made by the IMSS between 2009 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PROMEDICA GARCIA, S. A. DE C. V. | 3 | 260 MXN | 10.7 % | 0.8 | 2011 - 2014 |
| VELASCO GARCIA MARIA DE JESUS | 2 | 284.1 MXN | 16 % | 0.32 | 2010 - 2010 |
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 1 | 262.5 MXN | 15 % | 0.75 | 2009 - 2009 |
| CEO HEALTH SA DE CV | 1 | 3,266.6 MXN | 16 % | 12.8 | 2017 - 2017 |
| NACIONAL TERAPEUTICA, S.A. DE C.V. | 1 | 816 MXN | 16 % | 1.6 | 2018 - 2018 |
| SERVICIOS E INSUMOS INSTITUCIONALES DEL NOROESTE D | 1 | 10,995.2 MXN | 1,120.3 % | 11.2 | 2012 - 2012 |
Entity type
Material de curacion
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=060.166.3594.00")
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=060.166.3594.00')
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=060.166.3594.00')