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Description
DE TRES PUNTAS, NÚMERO DE CATÁLOGO: AN4K-AC030, PARA SU USO EN EL EQUIPO: CLAVE 531 619 0403 MONITOR DE SIGNOS VITALES, MARCA: ANALOGIC, MODELO: AN4000C. PIEZA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.156.1982.00
Each circle represents one of the 5 purchases of CABLE PACIENTE made by the IMSS between 2009 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 2 | 4,812.6 MXN | 564.2 MXN | 9.15 % | 0.966 | 9 de diciembre de 2014 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 2 | 6,791.8 MXN | 1,005.2 MXN | 20.2 % | 1.53 | 4 de noviembre de 2015 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 3,132 MXN | 432 MXN | 16 % | 0.32 | 5 de julio de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 1 | 229.2 MXN | 24.5 % | 0.734 | 2015 - 2015 |
| AZTEC MEDICA, S.A. DE C.V. | 1 | 20.6 MXN | 3.29 % | 0.0659 | 2014 - 2014 |
| BARRAZA OSUNA CARMEN ALICIA | 1 | 432 MXN | 16 % | 0.32 | 2011 - 2011 |
| DISTRIBUIDORA MEDICO TECNICA LA UNION, S.A. DE C. | 1 | 776 MXN | 16 % | 0.8 | 2013 - 2013 |
| SERVICIOS MEDICOS Y TECNICOS, S.A. DE C.V. | 1 | 543.6 MXN | 15 % | 0.9 | 2009 - 2009 |
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=379.156.1982.00")
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=379.156.1982.00')
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=379.156.1982.00')