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Description
TUBO ENDOTRAQUEAL, DE PLASTICO, GRADO MEDICO, CON MARCARADIOPACA, ESTERIL, DESE CHA-BLE, CON GLOBO DE ALTO VOLU-MEN Y BAJA PRESION; INCLUYEUNA VALVULA, UN CO NECTOR YUNA ESCALA EN MM PARA DETER-MINAR LA PROFUNDIDAD DE LACOLOCACION DEL
IMSS product code
060.168.2446.07
Each circle represents one of the 6 purchases of TUBOS made by the IMSS between 2009 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 4 | 2,690.2 MXN | 371.1 MXN | 16 % | 15.4 | 2 de julio de 2014 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 28.8 MXN | 3.75 MXN | 15 % | 0.15 | 7 de mayo de 2009 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 1 | 313.2 MXN | 43.2 MXN | 16 % | 1.6 | 21 de marzo de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIAL HOSPITALARIA S.A DE C.V. | 2 | 66 MXN | 16 % | 2.4 | 2013 - 2013 |
| COMERCIAL ALPRO, S.A. DE C.V. | 1 | 3.75 MXN | 15 % | 0.15 | 2009 - 2009 |
| PROMEDICA GARCIA, S. A. DE C. V. | 1 | 43.2 MXN | 16 % | 1.6 | 2012 - 2012 |
| RD GRUPO MEDICO, S.A. DE C.V. | 1 | 5.8 MXN | 16 % | 0.16 | 2011 - 2011 |
| SELECTO MEDICA, S.A. DE C.V. | 1 | 299.3 MXN | 16 % | 12.8 | 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=060.168.2446.07")
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=060.168.2446.07')
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=060.168.2446.07')