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Description
PARA IMPRESION EN SECO BASE AZUL DIMENSION: 14 X 17 PULGADAS, NÚMERO DE CATÁLOGO: S/N, PARA SU USO EN EL EQUIPO MEDICO: CLAVE 531 493 0073 IMPRESORA BLANCO Y NEGRO, LASER EN SECO
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.687.1915.00
Presentation
CAJA CON 100 PELICULAS.
Each circle represents one of the 8 purchases of PELICULA made by the IMSS between 2014 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 8 | 15.3 millones MXN | 2.1 millones MXN | 16.1 % | 409 | 17 de diciembre de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| RELIABLE DE MEXICO, S. A. DE C. V. | 8 | 2.1 millones MXN | 16.1 % | 409 | 2014 - 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=379.687.1915.00")
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=379.687.1915.00')
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=379.687.1915.00')