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Description
DE SILICON # 5 NÚMERO DE CATÁLOGO: SW72405C, PARA SU USO EN EL EQUIPO MEDICO: CLAVE 531 784 0204 REANIMADOR DE ASISTENCIA VENTILATORIA, MARCA: SHINING WORLD HEALTHCARE, MODELO: SW72101B. PIEZA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.614.4735.00
Each circle represents one of the 4 purchases of MASCARILLA made by the IMSS between 2016 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 2 | 1,968.5 MXN | 72.8 MXN | 8 % | 0.8 | 1 de agosto de 2018 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 1,740 MXN | 240 MXN | 16 % | 0.8 | 20 de diciembre de 2016 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 475.6 MXN | 361.7 MXN | 317.4 % | 6.35 | 31 de marzo de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 1 | 361.7 MXN | 317.4 % | 6.35 | 2017 - 2017 |
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 1 | 240 MXN | 16 % | 0.8 | 2016 - 2016 |
| IMPULSORA LIDER S.A. DE C.V. | 1 | 72.8 MXN | 16 % | 0.8 | 2018 - 2018 |
| TECNO COMERCIAL PAKTLI, S. A. DE C. V. | 1 | - MXN | - | - | 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=379.614.4735.00")
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=379.614.4735.00')
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=379.614.4735.00')