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Description
DE 40 MM NÚMERO DE CATÁLOGO: 800-040-180, PARA SU USO EN EL EQUIPO MEDICO CLAVE: 531.618.0040 MONITOR DE ELECTROCARDIOGRAFIA, MARCA: MENNEN MEDICAL, MODELO: ENMOVE 1000. PIEZA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.681.1614.00
Each circle represents one of the 6 purchases of PAPEL TERMICO made by the IMSS between 2014 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 4 | 9,527.1 MXN | 930.1 MXN | 12 % | 37 | 7 de marzo de 2018 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 417.6 MXN | 57.6 MXN | 16 % | 1.28 | 7 de noviembre de 2014 |
| H. de Especialidades Núm 71, Torreón, Coahuila Umae Especialidades Coahuila | Coahuila | 1 | 1,590.9 MXN | 692.9 MXN | 77.2 % | 11.6 | 7 de agosto de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| TECNO COMERCIAL PAKTLI, S. A. DE C. V. | 2 | 321.6 MXN | 8 % | 10.7 | 2015 - 2016 |
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 1 | 57.6 MXN | 16 % | 1.28 | 2014 - 2014 |
| AKUASUL, S.A. DE C.V. | 1 | 194.6 MXN | 16 % | 10.2 | 2018 - 2018 |
| AYALA RODRIGUEZ JUAN CARLOS | 1 | 413.9 MXN | 16 % | 16 | 2017 - 2017 |
| MERCADO MEDICO, S.A. DE C.V. | 1 | 692.9 MXN | 77.2 % | 11.6 | 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=379.681.1614.00")
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=379.681.1614.00')
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=379.681.1614.00')