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Description
CON INTERCAMBIADOR DE CALOR Y HUMEDAD HUMIDSTAR55 ADULTO NÚMERO DE CATÁLOGO: MP01730, PARA SU USO EN EL EQUIPO: CLAVE 531 053 0356 ANESTESIA UNIDAD DE, MARCA: DRAGER, MODELO: FABIUS. 50 PIEZAS.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.360.1927.00
Each circle represents one of the 4 purchases of FILTRO BACTERIAL/VIRAL made by the IMSS between 2012 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 2 | 8,937.2 MXN | 1,232.7 MXN | 16 % | 10.9 | 1 de agosto de 2018 |
| Delegación Colima Almacen Delegacional En Colima | Colima | 1 | 2,468.5 MXN | 340.5 MXN | 16 % | 0.16 | 23 de julio de 2012 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 28,072 MXN | 3,872 MXN | 16 % | 3.2 | 15 de julio de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABSTEN, S.A. DE C.V. | 1 | 340.5 MXN | 16 % | 0.16 | 2012 - 2012 |
| IMPULSORA LIDER S.A. DE C.V. | 1 | 3,872 MXN | 16 % | 3.2 | 2016 - 2016 |
| NOVATEC MEDICAL, S.A. DE C.V. | 1 | 686.1 MXN | 16 % | 10.7 | 2018 - 2018 |
| SONOMEDICS, S.A. DE C.V. | 1 | 546.6 MXN | 16 % | 0.16 | 2017 - 2017 |
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=379.360.1927.00")
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=379.360.1927.00')
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=379.360.1927.00')