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Description
CANULAS PARA DRENAJE TORACICO. RECTA CON MARCA RADIOPACA LONGITUD 45 CM. CALIBRE 36 FR.
IMSS product code
060.166.1671.01
Each circle represents one of the 27 purchases of CÁNULAS made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. Traumatología "Dr. Victorio De La Fuente Narváez" Umae Trauma Y Orto M.s. "dr. Victorio De La Fuente Narvaez" (d.f. Nort | Ciudad de México | 7 | 21,840 MXN | 5,262.6 MXN | 45.8 % | 50.1 | 26 de diciembre de 2018 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 7 | 33,059.9 MXN | 4,517.8 MXN | 15.7 % | 66.8 | 14 de diciembre de 2011 | |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 4 | 5,106.2 MXN | 939.8 MXN | 92 % | 11.3 | 4 de marzo de 2016 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 2 | 9,359.7 MXN | 1,350.5 MXN | 30.5 % | 17.9 | 10 de abril de 2014 |
| Delegación Colima Almacen Delegacional En Colima | Colima | 2 | 206.5 MXN | 59.7 MXN | 44 % | 0.88 | 8 de septiembre de 2014 |
| Delegación Campeche Almacen Delegacional En Campeche | Campeche | 1 | 1,832.8 MXN | 572.7 MXN | 45.4 % | 7.27 | 15 de agosto de 2016 |
| Delegación Jalisco | Jalisco | 1 | 1,294.9 MXN | 0.0000175 MXN | 0.00000136 % | 0.000000312 | 12 de agosto de 2009 |
| Delegación Nuevo León Almacen Delegacional En Nuevo Leon | Nuevo León | 1 | 6,264 MXN | - MXN | - | - | 16 de abril de 2018 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 3,040.1 MXN | 437.2 MXN | 16.8 % | 6.05 | 1 de febrero de 2010 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 1 | 6,031.8 MXN | 826 MXN | 15.9 % | 11.4 | 10 de febrero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ARTIMEDICA, S.A. DE C.V. | 4 | 5,635.7 MXN | 15.9 % | 81 | 2010 - 2011 |
| ALDACO MEDICAL INSTRUMENTS, S.A. DE C.V. | 3 | 591.3 MXN | 15.7 % | 8.73 | 2011 - 2011 |
| DISTRIBUIDORA MANLU S. DE R.L. DE C.V. | 2 | 2,460.4 MXN | 103 % | 22.7 | 2018 - 2018 |
| FRANCISCO GARCIA LOPEZ, S.A. DE C.V. | 2 | 0.0000175 MXN | 0.000000678 % | 0.000000312 | 2009 - 2014 |
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 2 | 526.8 MXN | 176 % | 5.61 | 2013 - 2016 |
| SURGIPLAST, SA DE CV | 2 | 238 MXN | 16 % | 3.52 | 2011 - 2011 |
| COMERCIALIZADORA DE CURACION Y REGIS. MED.,SA DE C | 1 | - MXN | - | - | 2013 - 2013 |
| CORPORATIVO LAYN PLUS, S. A. DE C. V. | 1 | 123 MXN | 45.1 % | 0.901 | 2014 - 2014 |
| DE LA MADRID HERNANDEZ CARMEN | 1 | 703.1 MXN | 43.2 % | 6.48 | 2018 - 2018 |
| DISTRIBUCIONES MEDICAS FARMAYCO, S. A. DE C. V. | 1 | 59.7 MXN | 88 % | 0.88 | 2012 - 2012 |
| DISTRIBUIDORA SEVI, S.A. DE C.V. | 1 | 519.4 MXN | 15 % | 7.65 | 2011 - 2011 |
| DURFA, S. A. DE C. V. | 1 | - MXN | - | - | 2018 - 2018 |
| ESCAMILLA ZENTENO AURORA | 1 | 437.2 MXN | 16.8 % | 6.05 | 2010 - 2010 |
| GOMEN HEALTH CARE, S.A. DE C.V. | 1 | 572.7 MXN | 45.4 % | 7.27 | 2016 - 2016 |
| JTC PROVEEDOR MEDICO, S. A. DE C. V. | 1 | - MXN | - | - | 2016 - 2016 |
| LEAMSI, S.A. DE C.V. | 1 | 1,382.4 MXN | 16 % | 14.4 | 2017 - 2017 |
| MED PHONE DE CONTACTO, S. A. DE C. V. | 1 | 352.4 MXN | 21.6 % | 3.25 | 2018 - 2018 |
| PRESEFA, S. A. DE C. V. | 1 | 364.4 MXN | 33.6 % | 3.36 | 2018 - 2018 |
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=060.166.1671.01")
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=060.166.1671.01')
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=060.166.1671.01')