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Description
"COMFORT" ADULTO GRANDE PARA PRESION SANGUINEA NO INVASIVA, CONTORNO DE LA EXTREMIDAD 34 A 43 CM, ANCHO DE LA BOLSA DE INFLADO 16 CM CON UN SOLO TUBO, CON CONECTOR TIPO BAYONETA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.603.0314.00
Each circle represents one of the 7 purchases of MANGUITO REUTILIZABLE made by the IMSS between 2012 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 5 | 77,574.4 MXN | 12,559.1 MXN | 18.4 % | 7.91 | 14 de febrero de 2018 |
| Delegación Campeche Almacen Delegacional En Campeche | Campeche | 1 | 87 MXN | - MXN | - | - | 27 de junio de 2016 |
| H. de Gineco Pediatría Núm 48, León Gto. Umae Gineco - Pediatria Guanajuato | Guanajuato | 1 | 36,174.6 MXN | 4,989.6 MXN | 16 % | 17.6 | 27 de febrero de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIALIZADORA JAMES, S.A. DE C.V. | 4 | 12,405.5 MXN | 19 % | 6.63 | 2014 - 2017 |
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 1 | 153.6 MXN | 16 % | 1.28 | 2018 - 2018 |
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 1 | - MXN | - | - | 2016 - 2016 |
| MICROMEDICA S.A. DE C.V. | 1 | 4,989.6 MXN | 16 % | 17.6 | 2012 - 2012 |
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=379.603.0314.00")
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=379.603.0314.00')
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=379.603.0314.00')