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Description
HEPATITIS B SISTEMA INMUNOENZIMATICO PARA LA DETECCION EN SUERO Y PLASMA DE ANTIGENO DE SUPERFICIE (ANTIGENO AUSTRALIA) DEL VIRUS DE LA HEPATITIS TIPO B (HBS-AG). INCLUYE CONTROLES Y REACTIVOS SUPLEMENTARIOS, EQUIPO PARA MINIMO 96
IMSS product code
080.081.0285.12
Each circle represents one of the 24 purchases of REACTIVOS Y JUEGOS DE REACTIVOS PARA PRUEBAS ESPECÍFICAS made by the IMSS between 2009 and 2010.
| 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 | 12 | 211,663.6 MXN | 121,370 MXN | 191.1 % | 98.6 | 30 de noviembre de 2010 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 3 | 51,448.2 MXN | - MXN | - | - | 22 de abril de 2010 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 2 | 34,930.8 MXN | 12,404.9 MXN | 57.7 % | 10.2 | 12 de marzo de 2010 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 2 | 1.3 millones MXN | 733,890.3 MXN | 147.1 % | 588.2 | 16 de febrero de 2010 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 4,292 MXN | 2,152.7 MXN | 100.6 % | 2.01 | 4 de mayo de 2010 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 10,350 MXN | 1,729.5 MXN | 20.1 % | 1.2 | 19 de marzo de 2009 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 48,875 MXN | 41,691.3 MXN | 580.4 % | 29 | 5 de octubre de 2009 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 57,811 MXN | 40,570 MXN | 235.3 % | 28.2 | 2 de febrero de 2009 |
| H. Traumatología "Dr. Victorio De La Fuente Narváez" Umae Trauma Y Orto M.s. "dr. Victorio De La Fuente Narvaez" (d.f. Nort | Ciudad de México | 1 | 2,088 MXN | 1,018.3 MXN | 95.2 % | 0.952 | 4 de febrero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INSTRUMENTOS Y EQUIPOS FALCON, S. A. DE C. V. | 11 | 119,010.9 MXN | 201.7 % | 96.3 | 2009 - 2010 |
| ACCUTRACK, S. A. DE C. V. | 4 | 11,559.5 MXN | 58.8 % | 10.4 | 2009 - 2010 |
| DIAGNOSTICA COMERCIAL, S.A. DE C.V. | 3 | 775,581.6 MXN | 291.5 % | 617.2 | 2009 - 2010 |
| DICIPA, S. A. DE C. V. | 2 | - MXN | - | - | 2010 - 2010 |
| DURFA, S. A. DE C. V. | 1 | 40,570 MXN | 235.3 % | 28.2 | 2009 - 2009 |
| PROMELAB COMERCIALIZADORA, S.A. DE C.V. | 1 | 2,152.7 MXN | 100.6 % | 2.01 | 2010 - 2010 |
| QUIMICA INDUSTRIAL Y DE SALUD, SA DE CV | 1 | 5,952.3 MXN | 69 % | 4.14 | 2009 - 2009 |
| UNIDAD DE HEMATOLOGIA Y TRANSFUSION, SA CV | 1 | - MXN | - | - | 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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Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.
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=080.081.0285.12")
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=080.081.0285.12')
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=080.081.0285.12')