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Description
PARA UROBOMBA ELLIPSE NÚMERO DE CATÁLOGO: D00 420, PARA SU USO EN EL EQUIPO: SISTEMA DE MEDICIÓN URODINAMICA CLAVE: 531 829 0243 0101, MARCA: ANDROMEDA, MODELO: ELLIPSE CHAIR
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.903.4305.00
Presentation
CAJA CON 10 PIEZAS.
Each circle represents one of the 5 purchases of TUBO made by the IMSS between 2016 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 | 2 | 92,336 MXN | 27,406.2 MXN | 44.8 % | 8.96 | 13 de marzo de 2018 |
| H. de Gineco Obstetricia No. 3 "Dr. Víctor Manuel Espinosa de los Reyes Sánchez" La Raza Umae Gineco - Obstetricia La Raza | Ciudad de México | 2 | 7,788.8 MXN | 1,074.3 MXN | 16 % | 0.32 | 15 de mayo de 2017 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 1 | 24,777.3 MXN | 15,599.1 MXN | 170 % | 5.1 | 22 de octubre de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SOPHAMEX, S. A. DE C. V. | 3 | 16,673.4 MXN | 67.3 % | 5.42 | 2016 - 2018 |
| MAGNA DEL NORTE SA DE CV | 2 | 27,406.2 MXN | 44.8 % | 8.96 | 2018 - 2018 |
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=379.903.4305.00")
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=379.903.4305.00')
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=379.903.4305.00')