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Description
PRUEBA INMUNOENZIMATICA, PARA LA CONFIRMACION DE ANTICUERPOS IGG DEL VIRUS DE LA HEPATITIS C, POR MEDIO DE ANTIGENOS RECOMBINANTES O PEPTIDOS SINTETICOS. PARA MINIMO 20 PRUEBAS. RTC.
IMSS product code
080.081.4055.13
Each circle represents one of the 9 purchases of REACTIVOS Y JUEGOS DE REACTIVOS PARA PRUEBAS ESPECÍFICAS made by the IMSS between 2011 and 2018.
| 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 | 6 | 678,839.5 MXN | 78,273.3 MXN | 12.5 % | 3.02 | 2 de febrero de 2017 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 195,750 MXN | 38,343.8 MXN | 24.4 % | 1.46 | 24 de marzo de 2014 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 1 | 27,260 MXN | 3,760 MXN | 16 % | 0.16 | 27 de marzo de 2018 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 52,203.3 MXN | 17,151.9 MXN | 48.9 % | 0.489 | 19 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INSTRUMENTOS Y EQUIPOS FALCON, S. A. DE C. V. | 6 | 78,273.3 MXN | 12.5 % | 3.02 | 2012 - 2017 |
| BIO LEBEN, S.A. DE C.V. | 2 | 55,495.6 MXN | 36.6 % | 1.95 | 2011 - 2014 |
| HEMOSER, S.A. DE C.V. | 1 | 3,760 MXN | 16 % | 0.16 | 2018 - 2018 |
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=080.081.4055.13")
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=080.081.4055.13')
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=080.081.4055.13')