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Description
MICROCATETERES DE INFUSION, PARA ESPIRALES (COILS) PARA EMBILIZACION ENDOVASCULAR INTRACRANEAL. DIRIGIDO POR FLUJO, CON RECUBRIMIENTO HIDROFILICO, PUNTA PREFORMABLE CON VAPOR, CONECTOR TIPO VENTURI, DIAMETRO INTERNO DE 0.013"
IMSS product code
060.166.3552.01
Each circle represents one of the 4 purchases of CATÉTERES made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 2 | 477,356.9 MXN | 65,842.3 MXN | 16 % | 17.3 | 8 de febrero de 2011 | |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 1 | 309,465 MXN | 31,449.3 MXN | 11.3 % | 8.82 | 1 de enero de 2009 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 1 | 14,352 MXN | 10,787.7 MXN | 302.7 % | 3.03 | 15 de octubre de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DISPOSITIVOS IMPLANTABLES DE MEXICO, S. A. DE C. V | 2 | 65,842.3 MXN | 16 % | 17.3 | 2011 - 2011 |
| DISTRIBUIDORA INTER. DE MEDS. Y EQ. MEDICO, SA CV | 1 | 31,449.3 MXN | 11.3 % | 8.82 | 2009 - 2009 |
| LEVBETH MEDICAL, S.A. DE C.V. | 1 | 10,787.7 MXN | 302.7 % | 3.03 | 2009 - 2009 |
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=060.166.3552.01")
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=060.166.3552.01')
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=060.166.3552.01')