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Description
PARA IMPRESORA LASER SECA MARCA KODAK PARA MASTOGRAFIA DVM+ DE: (10 X 12 PULGADAS) 24 X 30 CM NÚMERO DE CATÁLOGO: 828 5090, PARA SU USO EN EL EQUIPO MEDICO: CLAVE: 531.493.0073 IMPRESORA BLANCO Y
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.687.1659.00
Presentation
CAJA C/100.
Each circle represents one of the 7 purchases of PELICULA made by the IMSS between 2013 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 4 | 1.1 millones MXN | 144,796.8 MXN | 14.2 % | 56.6 | 2 de junio de 2014 |
| Delegación Estado de México Poniente | Estado de México | 2 | 20,468.2 MXN | 8,611.1 MXN | 72.6 % | 3.37 | 24 de abril de 2013 |
| H. de Gineco Pediatría Núm 48, León Gto. Umae Gineco - Pediatria Guanajuato | Guanajuato | 1 | 12,609.8 MXN | 1,739.3 MXN | 16 % | 0.48 | 14 de mayo de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ESEOTRES, S.A. DE C.V. | 5 | 146,536.1 MXN | 14.6 % | 57.1 | 2013 - 2015 |
| CORPORATIVO DISGAR, S. A. DE C. V. | 1 | 4,166.9 MXN | 70.3 % | 1.63 | 2013 - 2013 |
| HERNANDEZ GONZALEZ JUAN CARLOS | 1 | 4,444.2 MXN | 75 % | 1.74 | 2013 - 2013 |
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=379.687.1659.00")
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=379.687.1659.00')
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=379.687.1659.00')