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Description
HEPATITIS C SISTEMA INMUNOENZIMATICO PARA LA CONFIRMACION DE ANTICUERPOS IGG DEL VIRUS DE LA HEPATITIS C, POR MEDIO DE ANTIGENOS RECOMBINANTES O PEPTIDOS SINTETICOS. RTC EQUIPO PARA MINIMO 20 PRUEBAS.
IMSS product code
080.081.4055.12
Each circle represents one of the 12 purchases of REACTIVOS Y JUEGOS DE REACTIVOS PARA PRUEBAS ESPECÍFICAS made by the IMSS between 2009 and 2011.
| 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 | 522,938.5 MXN | 65,460.7 MXN | 16.2 % | 1.65 | 1 de diciembre 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 | 1.6 millones MXN | 241,591.1 MXN | 17.4 % | 5.56 | 13 de mayo de 2010 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 1 | 227,700 MXN | 19,066.7 MXN | 9.14 % | 0.548 | 6 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MUNGUIA LOPEZ LAURA VANESA | 7 | 41,915.4 MXN | 13.9 % | 1 | 2009 - 2011 |
| ABALAT, S.A. DE C.V. | 4 | 265,136.4 MXN | 20.5 % | 6.2 | 2009 - 2010 |
| HEMOSER, S.A. DE C.V. | 1 | 19,066.7 MXN | 9.14 % | 0.548 | 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=080.081.4055.12")
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=080.081.4055.12')
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=080.081.4055.12')