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Description
CATETERES. CANDELILLA DE PLASTICO FORMA ESPIRAL, ACOPLABLE A LA SONDA, HEMBRA Y MACHO TIPO: PHILLIPS. CALIBRES: 3 FR
IMSS product code
060.161.0256.11
Each circle represents one of the 34 purchases of CATÉTERES made by the IMSS between 2008 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 6 | 62,157.2 MXN | 19,643.9 MXN | 39.3 % | 25.3 | 12 de junio de 2018 |
| Delegación Nuevo León Almacen Delegacional En Nuevo Leon | Nuevo León | 5 | 384,018.7 MXN | 94,362.9 MXN | 176.4 % | 94 | 9 de febrero de 2016 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 3 | 21,718.8 MXN | 6,038.8 MXN | 109 % | 29.4 | 22 de septiembre de 2016 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 2 | 5,520.9 MXN | 650.3 MXN | 14 % | 1.59 | 16 de enero de 2018 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 2 | 7,167.3 MXN | 965.8 MXN | 15.5 % | 3.78 | 27 de enero de 2010 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 2 | 15,092.6 MXN | 4,237.2 MXN | 37 % | 11.3 | 13 de marzo de 2014 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 2,121.8 MXN | 276.4 MXN | 15 % | 2.25 | 1 de enero de 2009 |
| Delegación Chiapas Almacen Subdelegacional En Tuxtla Gutierrez, Chiapas | Chiapas | 1 | 2,801.9 MXN | 2,432.9 MXN | 659.2 % | 19.8 | 19 de enero de 2009 |
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 1 | 6,789.6 MXN | 884.4 MXN | 15 % | 7.19 | 1 de enero de 2009 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 2,642.8 MXN | 191.6 MXN | 7.82 % | 0.235 | 2 de diciembre de 2013 |
| Delegación Morelos | Morelos | 1 | 179.9 MXN | - MXN | - | - | 3 de marzo de 2009 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 1,697.4 MXN | 221.1 MXN | 15 % | 1.8 | 1 de enero de 2009 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 21,288.7 MXN | 1,679.6 MXN | 8.57 % | 2.06 | 11 de marzo de 2013 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 8,769.9 MXN | 1,142.3 MXN | 15 % | 9.28 | 1 de enero de 2008 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 707.3 MXN | 92.1 MXN | 15 % | 0.749 | 1 de enero de 2009 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 1 | 1,414.5 MXN | 184.2 MXN | 15 % | 1.5 | 1 de enero de 2009 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 1 | 3,677.7 MXN | 479 MXN | 15 % | 3.89 | 1 de enero de 2009 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 1 | 13,163.9 MXN | - MXN | - | - | 24 de mayo de 2018 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 1 | 1,809.6 MXN | - MXN | - | - | 9 de abril de 2014 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 27,877.1 MXN | - MXN | - | - | 19 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 16 | 6,632.6 MXN | 12.2 % | 53.9 | 2008 - 2016 |
| CORPORACION ARMO, S.A. DE C.V. | 2 | 2,543.3 MXN | 12.3 % | 3.02 | 2011 - 2013 |
| DURFA, S. A. DE C. V. | 2 | 17,530.8 MXN | 36.8 % | 22.5 | 2013 - 2014 |
| HI-TEC MEDICAL DEL SUR, S.A. DE C.V. | 2 | 12,635.6 MXN | 76 % | 14.7 | 2014 - 2018 |
| PRODUCTOS BARD DE MEXICO, S.A. DE C.V. | 2 | 578.9 MXN | 8 % | 0.64 | 2010 - 2018 |
| ARTIMEDICA, S.A. DE C.V. | 1 | 72,072 MXN | 41.8 % | 40.2 | 2015 - 2015 |
| CORPORATIVO LAYN PLUS, S. A. DE C. V. | 1 | - MXN | - | - | 2015 - 2015 |
| DISTRIBUIDORA MORA ESPECIALISTA EN EQUIPO MEDICO, | 1 | 5,406.7 MXN | 36.8 % | 6.62 | 2013 - 2013 |
| ESTRATEGIA HOSPITALARIA S.A. DE C.V. | 1 | 191.6 MXN | 7.82 % | 0.235 | 2013 - 2013 |
| GRUPO BIOMYRE SC | 1 | 7,744.5 MXN | 810.5 % | 32.4 | 2012 - 2012 |
| GRUPO EMEQUR, S.A. DE C.V. | 1 | 503 MXN | 12.9 % | 0.388 | 2018 - 2018 |
| HEALTH TECHNOLOGIES, S.A DE C.V. | 1 | 480 MXN | 16 % | 0.96 | 2017 - 2017 |
| JTC PROVEEDOR MEDICO, S. A. DE C. V. | 1 | 4,730.7 MXN | 312 % | 18.7 | 2016 - 2016 |
| Proveedor local no identificado (Compra Emergente) | 1 | - MXN | - | - | 2009 - 2009 |
| ZARATE RODRIGUEZ JOSE ALBERTO | 1 | 2,432.9 MXN | 659.2 % | 19.8 | 2009 - 2009 |
Date updated in QQW
3 de octubre de 2022
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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=060.161.0256.11")
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=060.161.0256.11')
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=060.161.0256.11')