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Description
MICROCATETERES DE INFUSION, PARA ESPIRALES (COILS) PARA EMBOLIZACION ENDOVASCULAR INTRACRANEAL, DE 0.018" (0.045 MM). CON CUERPO ENMALLADO, DIAMETRO INTERNO DE 0.021" (0.0525 MM), CON TRES CAPAS DE RESINA MULTIDUROMETRICA,
IMSS product code
060.166.3487.02
Each circle represents one of the 5 purchases of CATÉTERES made by the IMSS between 2011 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 3 | 118,891.7 MXN | 16,398.8 MXN | 16 % | 4.16 | 1 de enero de 2014 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 1 | 23,200 MXN | 14,760.5 MXN | 174.9 % | 3.5 | 10 de enero de 2012 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 104,067.3 MXN | 2,793.6 MXN | 2.76 % | 0.662 | 19 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PROVEEDORA RM, S. A. DE C. V. | 3 | 11,166.8 MXN | 11.6 % | 2.9 | 2011 - 2014 |
| ABSTEN CARDIOLOGIK, S.A. DE C.V. | 1 | 8,025.6 MXN | 16 % | 1.92 | 2011 - 2011 |
| LEVBETH MEDICAL, S.A. DE C.V. | 1 | 14,760.5 MXN | 174.9 % | 3.5 | 2012 - 2012 |
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=060.166.3487.02")
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=060.166.3487.02')
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=060.166.3487.02')