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Description
CANULA FRAZIER O FERGUSON, ANGULADA DE 30 A 45 GRADOS, DE 12 FR, CON MANDRIL, Y VALVULA DE OBTURACION DIGITAL.
IMSS product code
537.173.1653.02
Each circle represents one of the 41 purchases of CÁNULAS made by the IMSS between 2009 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 24 | 4,692.6 MXN | 9.7 % | 14 | 2010 - 2018 |
| DEWIMED, S. A. | 4 | 394 MXN | 27 % | 1.6 | 2009 - 2015 |
| ALONSO RUBIN FRANCISCO FERNANDO | 1 | 190.2 MXN | 11.7 % | 0.939 | 2014 - 2014 |
| APLICACIONES MEDICAS Y TECNOLOGICAS, SA DE CV | 1 | 1,690.2 MXN | 258.3 % | 5.17 | 2012 - 2012 |
| DACEGA CORPORATION, SA DE CV | 1 | 817.6 MXN | 146.6 % | 2.93 | 2011 - 2011 |
| GRUPO CORPORATIVO MEDICO DIVISION CENTRO S.A. DE C | 1 | - MXN | - | - | 2010 - 2010 |
| HEMOST, S. A. DE C. V. | 1 | - MXN | - | - | 2012 - 2012 |
| HIDRO HOSPITAL, S.A. DE C.V. | 1 | 851.6 MXN | 55.4 % | 2.21 | 2017 - 2017 |
| IMPORTADORA MEDICA MEXICANA, S. A. | 1 | - MXN | - | - | 2012 - 2012 |
| INSTRUMENTAL E IMPLANTES ORTOPEDICOS S.A. DE C.V. | 1 | 89.9 MXN | 16 % | 0.32 | 2013 - 2013 |
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 1 | 230.9 MXN | 92.2 % | 0.922 | 2015 - 2015 |
| JOSE MIGUEL URIBE ALVAREZ TOSTADO | 1 | 67.8 MXN | 4.95 % | 0.247 | 2009 - 2009 |
| LOMEDIC, S. A. DE C. V. | 1 | 9.25 MXN | 2.83 % | 0.0283 | 2012 - 2012 |
| MARBELLA ZETINA LAGUNES | 1 | 1,613.5 MXN | 228.4 % | 4.57 | 2016 - 2016 |
| SUPERVISION DE NEGOCIOS ESPECIALES COUTI?O, S.A. D | 1 | 251.3 MXN | 55.2 % | 1.1 | 2010 - 2010 |
Date updated in QQW
3 de octubre de 2022
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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=537.173.1653.02")
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=537.173.1653.02')
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=537.173.1653.02')