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Description
KODAK DRYVIEW DVM PARA IMPRESION LASER EN SECO PARA MASTROGRAFIA 8 X 10 PULGADAS (20 X 25 CM) NÚMERO DE CATÁLOGO: 1456516, PARA SU USO EN EL EQUIPO: CLAVE 531 493 0073 IMPRESORA EN
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.687.0917.00
Presentation
CARTUCHO CON 125 HOJAS.
Each circle represents one of the 18 purchases of PELICULA made by the IMSS between 2011 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 10 | 20.6 millones MXN | 2.8 millones MXN | 14 % | 845.1 | 10 de junio de 2016 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 5 | 2.6 millones MXN | 431,977.1 MXN | 10.6 % | 140 | 31 de marzo de 2014 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 2 | 182,118.4 MXN | 39,655.4 MXN | 48.8 % | 12.8 | 2 de mayo de 2014 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 36,171.4 MXN | - MXN | - | - | 23 de mayo de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ESEOTRES, S.A. DE C.V. | 14 | 3.2 millones MXN | 13.8 % | 985.1 | 2011 - 2016 |
| IMADINE, S.A. DE C.V. | 2 | - MXN | - | - | 2014 - 2014 |
| SUMINISTROS HOSPITALARIOS SURESTE, S.A. DE C.V. | 2 | 39,655.4 MXN | 48.8 % | 12.8 | 2013 - 2014 |
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=379.687.0917.00")
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=379.687.0917.00')
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=379.687.0917.00')