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Description
PARA IMPRESORA DE EEG NÚMERO DE CATÁLOGO: 220-701600, PARA SU USO EN EL EQUIPO: CLAVE 531 925 0022 ELECTROENCEFALOGRAFO DE 32 CANALES, MARCA: NICOLET, MODELO: ALLIANCEWORKS
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.681.0665.00
Presentation
PAQUETE DE 500 HOJAS.
Each circle represents one of the 1 purchases of PAPEL made by the IMSS between 2015 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 1 | 15,782 MXN | 2,176.8 MXN | 16 % | 6.4 | 19 de febrero de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| APLICACIONES MEDICAS Y TECNOLOGICAS, SA DE CV | 1 | 2,176.8 MXN | 16 % | 6.4 | 2015 - 2015 |
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=379.681.0665.00")
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=379.681.0665.00')
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=379.681.0665.00')