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Description
CATETERES CON BALON DE MUY BAJO PERFIL, DE 6 MM DE DIAMETRO, 8 CM DE LONGITUD, CALIBRE 5 FR Y 100 CM. DE LONGITUD.
IMSS product code
060.166.1317.03
Each circle represents one of the 37 purchases of AGUJAS made by the IMSS between 2009 and 2017.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CARDISTENT SA DE CV | 14 | 14,304 MXN | 17 % | 3.36 | 2016 - 2017 |
| ARTIMEDICA, S.A. DE C.V. | 12 | 1.5 millones MXN | 66.9 % | 135.3 | 2011 - 2014 |
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 6 | 84,692.1 MXN | 10.3 % | 22.6 | 2009 - 2011 |
| ENDOMEDICA,S. A. DE C. V. | 2 | - MXN | - | - | 2011 - 2011 |
| DURFA, S. A. DE C. V. | 1 | - MXN | - | - | 2011 - 2011 |
| PROVEEDORA RM, S. A. DE C. V. | 1 | - MXN | - | - | 2014 - 2014 |
| SELECCIONES MEDICAS DEL CENTRO. S. A. DE C. V. | 1 | - MXN | - | - | 2014 - 2014 |
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=060.166.1317.03")
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=060.166.1317.03')
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=060.166.1317.03')