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Description
DE TECNOLOGIA NELLCOR PARA SENSOR DE SPO2, BLINDADO, LONGITUD: 2,0 M, CON CONECTOR REDONDO DE 7 PINES PARA USARSE CON MULTIMED 3/5/6/12/ NEOMED, Y CON ENTRADA TRAPEZOIDAL DE 9 PINES PARA LA CONEXION DEL SENSOR.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.156.4390.00
Each circle represents one of the 5 purchases of CABBLE TRONCAL made by the IMSS between 2014 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Traumatología y Ortopedia, Lomas Verdes Umae Traumatologia Y Ortopedia Lomas Verdes | Estado de México | 3 | 238,124.8 MXN | 64,182.5 MXN | 26.1 % | 33.6 | 27 de abril de 2015 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 11,766.9 MXN | - MXN | - | - | 5 de agosto de 2015 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 4,756 MXN | 656 MXN | 16 % | 1.6 | 18 de agosto de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GRUPO DIAZ MEJIAMEDICAL SA DE CV | 3 | 64,182.5 MXN | 26.1 % | 33.6 | 2014 - 2015 |
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 1 | 656 MXN | 16 % | 1.6 | 2016 - 2016 |
| DISTRIBUIDORA DE EQUIPO MEDICO E INDUSTRIAL DE MEX | 1 | - MXN | - | - | 2015 - 2015 |
Entity type
Consumibles de equipos medicos y de laboratorio
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=379.156.4390.00")
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=379.156.4390.00')
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=379.156.4390.00')