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Description
CANULAS PARA CARDIOPLEJIA CON LINEA DE ASPIRACION, LONGITUD 20 CM, CALIBRE 12 FR.
IMSS product code
060.167.8741.11
Each circle represents one of the 33 purchases of CÁNULA made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 17 | 3.5 millones MXN | 472,325.5 MXN | 15.9 % | 949.7 | 1 de enero de 2018 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 16 | 476,503.4 MXN | 115,530.5 MXN | 47.5 % | 327 | 1 de enero de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SELECCIONES MEDICAS DEL CENTRO. S. A. DE C. V. | 10 | 343,562.8 MXN | 20 % | 548.9 | 2013 - 2018 |
| DIAGNOSTICO Y CIRUGIA, S.A. DE C.V. | 5 | 112,934.2 MXN | 28.9 % | 306.9 | 2010 - 2015 |
| IQ MEDICAL, S. DE R.L. DE C.V. | 5 | 32,033.5 MXN | 78 % | 96.5 | 2016 - 2018 |
| EDWARDS LIFESCIENCES MEXICO, S. A. DE C. V. | 4 | 38,583.9 MXN | 15.8 % | 130 | 2011 - 2011 |
| SELECCIONES MEDICAS, S. A. DE C. V. | 4 | 34,568.9 MXN | 12.1 % | 126.9 | 2009 - 2012 |
| TERUMO MEDICAL DE MEXICO, S.A. DE C.V. | 2 | 7,300.2 MXN | 10.1 % | 15.4 | 2010 - 2010 |
| COMERCIALIZADORA ARGAVI, S.A. DE C.V. | 1 | 374.4 MXN | 27.7 % | 1.39 | 2009 - 2009 |
| GAMA COMERCIAL, S. DE R. L. DE C. V. | 1 | 8,681.5 MXN | 12.7 % | 21.1 | 2013 - 2013 |
| INOVACION MEDICA DE OCCIDENTE, S.A. DE C.V. | 1 | 9,816.6 MXN | 123.1 % | 29.5 | 2016 - 2016 |
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=060.167.8741.11")
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=060.167.8741.11')
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=060.167.8741.11')