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Description
HEXAMETILPROPILENAMINOOXIMA (HMPAO). SUSTANCIA NO RADIACTIVA QUE SE UTILIZA PARA LA PREPARACION DE RADIOFARMACO. QUE SE PUEDA MARCAR CON ACTIVIDAD IGUAL O MAYOR A 2960 MBQ. POR FRASCO. ESTUCHE CON 5 FRASCOS. RTC
IMSS product code
080.827.0144.11
Each circle represents one of the 16 purchases of PRECURSORES DE RADIOFÁRMACOS made by the IMSS between 2009 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 10 | 5.7 millones MXN | 743,400.3 MXN | 15.2 % | 24.1 | 7 de diciembre de 2017 |
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 3 | 930,009.1 MXN | 166,696.8 MXN | 21.3 % | 5.88 | 22 de diciembre de 2014 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 2 | 174,605.5 MXN | 33,828.5 MXN | 24.1 % | 1.2 | 11 de marzo de 2015 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 1 | 118,784 MXN | 12,468.7 MXN | 11.7 % | 0.469 | 24 de junio de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEDIDORES INDUSTRIALES Y MEDICOS, SA DE CV | 16 | 956,394.2 MXN | 17.3 % | 31.6 | 2009 - 2017 |
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=080.827.0144.11")
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=080.827.0144.11')
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=080.827.0144.11')