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Description
CATETERES. CANDELILLA DE PLASTICO, FORMA RECTA, ACOPLABLE A LA SONDA, HEMBRA Y MACHO. TIPO: PHILLIPS. CALIBRES: 5 FR.
IMSS product code
060.161.0314.11
Each circle represents one of the 24 purchases of CATÉTERES made by the IMSS between 2008 and 2017.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 18 | 16,629.4 MXN | 13.9 % | 130.4 | 2008 - 2017 |
| CORPORATIVO LAYN PLUS, S. A. DE C. V. | 2 | 717.2 MXN | 15.1 % | 3.9 | 2014 - 2015 |
| DURFA, S. A. DE C. V. | 1 | 3,392.1 MXN | 28.5 % | 3.99 | 2016 - 2016 |
| JTC PROVEEDOR MEDICO, S. A. DE C. V. | 1 | 191.9 MXN | 22.6 % | 0.226 | 2016 - 2016 |
| PRODUCTOS BARD DE MEXICO, S.A. DE C.V. | 1 | 1,892.6 MXN | 82.1 % | 3.29 | 2010 - 2010 |
| VITASANITAS S.A. DE C.V. | 1 | 4,217.8 MXN | 85.2 % | 10.2 | 2011 - 2011 |
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=060.161.0314.11")
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=060.161.0314.11')
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=060.161.0314.11')