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Description
PARA IMPRESION NÚMERO DE CATÁLOGO: 804700, PARA SU USO EN EL EQUIPO MEDICO CLAVE: 531.191.0391 CARRO ROJO CON EQUIPO COMPLETO PARA REANIMACION CON DESFIBRILADORMONITORMARCAPASO. PIEZA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.681.1606.00
Each circle represents one of the 14 purchases of PAPEL TERMICO made by the IMSS between 2012 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 2 | 45.1 MXN | 14.3 % | 1.43 | 2014 - 2015 |
| CONTROLES GRAFICOS, S.A. DE C.V. | 2 | 38.2 MXN | 7.6 % | 1.52 | 2014 - 2014 |
| TECNO COMERCIAL PAKTLI, S. A. DE C. V. | 2 | 434.9 MXN | 37.5 % | 16.4 | 2013 - 2015 |
| ASESORIA MEDICA Y EQUIPAMIENTO HOSPIT., SA DE CV | 1 | 800.9 MXN | 13.3 % | 31.8 | 2015 - 2015 |
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 1 | - MXN | - | - | 2018 - 2018 |
| DURFA, S. A. DE C. V. | 1 | 117.2 MXN | 19.2 % | 3.83 | 2013 - 2013 |
| ELECTRO PAPER, S.A. DE C.V. | 1 | 222 MXN | 26.6 % | 3.73 | 2012 - 2012 |
| GRUPO EMEQUR, S.A. DE C.V. | 1 | 5.88 MXN | 19.2 % | 0.192 | 2013 - 2013 |
| INGENIERIA BIOMEDICA PARA LA SALUD, S.A. DE C.V. | 1 | - MXN | - | - | 2012 - 2012 |
| QUANTUM MEDICAL GROUP. S.A. DE C.V. | 1 | 52.8 MXN | 21.4 % | 2.14 | 2018 - 2018 |
| SERVICIOS MEDICOS Y TECNICOS, S.A. DE C.V. | 1 | 498.4 MXN | 16 % | 5.6 | 2016 - 2016 |
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=379.681.1606.00")
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=379.681.1606.00')
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=379.681.1606.00')