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Description
TAMAÑO 8X10 PULGADAS BASE AZUL NÚMERO DE CATÁLOGO: 810DVB, PARA SU USO EN EL EQUIPO: CLAVE: 531 493 0099 IMPRESORA BLANCO Y NEGRO Y COLOR POR SUBLIMACION TERMICA EN SECO, MARCA: CODONICS
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.687.0545.00
Presentation
CAJA CON 100.
Each circle represents one of the 51 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 Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 17 | 2.5 millones MXN | 216,264.5 MXN | 10.1 % | 96.2 | 22 de agosto de 2018 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 8 | 379,113.7 MXN | 96,553.9 MXN | 53.4 % | 39.5 | 27 de diciembre de 2017 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 7 | 557,977.3 MXN | 87,598.7 MXN | 18.5 % | 42.8 | 25 de agosto de 2016 |
| Delegación Sinaloa | Sinaloa | 6 | 76,374.4 MXN | 28,160.7 MXN | 58.4 % | 10.8 | 24 de agosto de 2016 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 3 | 88,823.1 MXN | 18,902.3 MXN | 23.1 % | 9.16 | 7 de marzo de 2011 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 3 | 53,216.2 MXN | 22,394.6 MXN | 141.8 % | 11 | 1 de enero de 2011 |
| H. de Traumatología y Ortopedia, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Traumatologia Y Ortopedia Puebla | Puebla | 3 | 330,368 MXN | 69,977.3 MXN | 27.3 % | 35.6 | 26 de marzo de 2013 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 2 | 78,972.8 MXN | 22,778.8 MXN | 72.4 % | 11.6 | 15 de julio de 2016 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 2 | 204,624 MXN | 56,590.5 MXN | 38.2 % | 27.5 | 18 de septiembre de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SUMINISTRO PARA USO MEDICO Y HOSP., S.A. DE C.V. | 21 | 182,389.3 MXN | 15.6 % | 90.2 | 2010 - 2018 |
| GARCIA GARCIA JOSE GILBERTO | 6 | 28,160.7 MXN | 58.4 % | 10.8 | 2016 - 2016 |
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 5 | 56,791 MXN | 54.6 % | 26.3 | 2011 - 2016 |
| G.E. SISTEMAS MEDICOS DE MEXICO SA DE CV | 2 | 14,284.9 MXN | 7.13 % | 5.5 | 2016 - 2016 |
| GRUPO ULTEN, S. A. DE C. V. | 2 | 11,411 MXN | 190.5 % | 5.72 | 2010 - 2010 |
| IMADINE, S.A. DE C.V. | 2 | 34,712.3 MXN | 27.6 % | 11 | 2014 - 2017 |
| JUAMA, S.A. DE C.V. | 2 | 56,869.8 MXN | 46.8 % | 27.5 | 2011 - 2011 |
| MAHO MANTENIMIENTO HOSPITALARIO, S.A. DE C.V. | 2 | 46,918.4 MXN | 29.8 % | 24.4 | 2013 - 2013 |
| MORA HERMILO DAVID | 2 | 56,590.5 MXN | 38.2 % | 27.5 | 2012 - 2012 |
| CASTELLANOS ORTIZ RAUL | 1 | 8,104 MXN | 3.28 % | 3.94 | 2012 - 2012 |
| CORPORACION MEXICANA GIVMA, S.A. DE C.V. | 1 | 23,059 MXN | 22.4 % | 11.2 | 2012 - 2012 |
| ESTRATEGIA HOSPITALARIA S.A. DE C.V. | 1 | 28,608.6 MXN | 10.1 % | 14.5 | 2015 - 2015 |
| ESTRATEGIAS COMERCIALES BUXOM, S.A. DE C.V. | 1 | 2,106.3 MXN | 25.4 % | 1.02 | 2011 - 2011 |
| INSTRUMENTOS Y ACCESORIOS AUTOMATIZADOS, S.A. DE C | 1 | 11,188.3 MXN | 121.2 % | 6.06 | 2014 - 2014 |
| NUMEFARM, S. DE R. L. DE C. V. | 1 | 51,664.2 MXN | 42.5 % | 15.3 | 2018 - 2018 |
| TECNOLOGIA MEDICA HOSPITALARIA S.A DE C.V. | 1 | 6,363.1 MXN | 21.2 % | 3.19 | 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=379.687.0545.00")
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=379.687.0545.00')
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=379.687.0545.00')