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Description
IMPRESION EN SECO 14 X 17 PULGADAS ( 35 X 43 CM) BASE AZUL (DT2 B), NÚMERO DE CATÁLOGO: EKL9M, PARA SU USO EN EL EQUIPO: CLAVE 531 493 0081 IMPRESORA TERMICA DIRECTA EN SECO BLANCO Y NEGRO
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.687.1097.00
Presentation
CAJA CON 100 PELICULAS.
Each circle represents one of the 3 purchases of PELICULA made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 2 | 7.7 millones MXN | 1.1 millones MXN | 16 % | 172.8 | 28 de diciembre de 2018 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 220,073.8 MXN | 30,355 MXN | 16 % | 9.6 | 16 de marzo de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| RELIABLE DE MEXICO, S. A. DE C. V. | 2 | 1.1 millones MXN | 16 % | 172.8 | 2018 - 2018 |
| CARMONA LEMUS JOSE LUIS | 1 | 30,355 MXN | 16 % | 9.6 | 2010 - 2010 |
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=379.687.1097.00")
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=379.687.1097.00')
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=379.687.1097.00')