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Description
CANULAS PARA CARDIOPLEJIA ANTEROGRADA, CALIBRE 12 FR, LONGITUD 20 CM.
IMSS product code
060.167.5978.11
Each circle represents one of the 39 purchases of CÁNULAS 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, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 38 | 1.4 millones MXN | 265,970.7 MXN | 26 % | 184.5 | 1 de enero de 2018 |
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 1 | 54,648 MXN | - MXN | - | - | 24 de diciembre de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SELECCIONES MEDICAS DEL CENTRO. S. A. DE C. V. | 19 | 60,021.7 MXN | 8.01 % | 31.5 | 2013 - 2018 |
| APLICACIONES INTEGRALES EN MEDICINA, S.A. DE C.V. | 6 | 19,134.1 MXN | 46.7 % | 9.26 | 2014 - 2015 |
| INOVACION MEDICA DE OCCIDENTE, S.A. DE C.V. | 4 | 20,445.4 MXN | 48 % | 8.17 | 2016 - 2016 |
| IQ MEDICAL, S. DE R.L. DE C.V. | 4 | 54,097 MXN | 40.7 % | 23 | 2016 - 2017 |
| SELECCIONES MEDICAS, S. A. DE C. V. | 3 | 56,502.1 MXN | 55.3 % | 88.5 | 2009 - 2013 |
| DIAGNOSTICO Y CIRUGIA, S.A. DE C.V. | 1 | 55,770.4 MXN | 33.5 % | 24.1 | 2015 - 2015 |
| DURFA, S. A. DE C. V. | 1 | - MXN | - | - | 2009 - 2009 |
| MEDICAMEX, S. A. DE C. V. | 1 | - MXN | - | - | 2016 - 2016 |
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=060.167.5978.11")
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=060.167.5978.11')
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=060.167.5978.11')