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Description
TIPO MILLER # 3 (LONGITUD TOTAL 172 MM) NÚMERO DE CATÁLOGO: 68063, PARA SU USO EN EL EQUIPO MEDICO: 531.568.0057 LARINGOSCOPIO, MARCA: WELCH ALLYN, MODELO: 60813. PIEZA.
Classification
Material médico. Accesorios de equipos medicos
IMSS product code
526.326.0142.00
Each circle represents one of the 6 purchases of HOJA DE LARINGOSCOPIO DE FIBRA OPTICA made by the IMSS between 2012 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 4 | 18,750.2 MXN | 2,542.2 MXN | 17.8 % | 3.62 | 6 de noviembre de 2014 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 2 | 3,865.1 MXN | 577.1 MXN | 17.6 % | 0.702 | 27 de marzo de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GOPY MEDICAL S.A DE C.V. | 2 | 577.1 MXN | 17.6 % | 0.702 | 2013 - 2013 |
| BIOMEDICA RONA, S.A. DE C.V. | 1 | 212 MXN | 12.9 % | 0.258 | 2013 - 2013 |
| CORREA AYALA GEORGINA | 1 | 642 MXN | 34.1 % | 1.02 | 2012 - 2012 |
| GRUPO EMPRESARIAL TECNICARE, S. A. DE C. V. | 1 | 361.2 MXN | 8.23 % | 0.576 | 2012 - 2012 |
| SERVICIOS MEDICOS Y TECNICOS, S.A. DE C.V. | 1 | 1,327 MXN | 16 % | 1.76 | 2014 - 2014 |
Entity type
Accesorios de equipos medicos
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=526.326.0142.00")
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=526.326.0142.00')
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=526.326.0142.00')