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Description
EQUIPOS INTRODUCTOR DE CATETER ARTERIAL A VENOSO, CON EQUIPO VALVULA HEMOSTATICA, PEDIATRICO. LONGITUD. 13 CM CALIBRE. 4 FR GUIA 0,021".
IMSS product code
060.345.2251.02
Each circle represents one of the 10 purchases of EQUIPOS made by the IMSS between 2009 and 2017.
| 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 | 4 | 31,337.4 MXN | 3,196.7 MXN | 11.9 % | 11.7 | 5 de diciembre de 2012 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 4 | 45,718.9 MXN | 7,217.6 MXN | 13.8 % | 24.5 | 4 de marzo de 2016 |
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 1 | 10,915.8 MXN | 2,242.2 MXN | 25.9 % | 5.17 | 6 de mayo de 2009 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 38,753.3 MXN | 5,345.3 MXN | 16 % | 15.4 | 15 de junio de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SJ MEDICAL MEXICO, S. DE R.L. DE C.V. | 5 | 3,196.7 MXN | 9.53 % | 11.7 | 2009 - 2012 |
| AVANT MEDICAL, S.A. DE C.V. | 1 | 1,482 MXN | 16 % | 4.8 | 2014 - 2014 |
| CEO HEALTH SA DE CV | 1 | 5,345.3 MXN | 16 % | 15.4 | 2017 - 2017 |
| HUMANA DE EQUIPO Y MATERIALES, S.A. DE C.V. | 1 | 2,242.2 MXN | 25.9 % | 5.17 | 2009 - 2009 |
| LEVBETH MEDICAL, S.A. DE C.V. | 1 | 4,197.7 MXN | 23.2 % | 13.9 | 2012 - 2012 |
| PROMEDICA GARCIA, S. A. DE C. V. | 1 | 1,537.9 MXN | 16 % | 5.76 | 2016 - 2016 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.345.2251.02")
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=060.345.2251.02')
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=060.345.2251.02')