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Description
CD-79 ALFA PE, NÚMERO DE CATÁLOGO: CT340579, PARA SU USO EN EL EQUIPO: CLAVE 533 609 0286 CITOMETRO DE FLUJO, MARCA: BECTON DIKINSON, MODELO: FACS CALIBUR
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.765.4468.00
Presentation
FRASCO CON 100 PRUEBAS.
Each circle represents one of the 3 purchases of ANTICUERPO MONOCLONAL made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 3 | 63,362.2 MXN | 8,582.2 MXN | 15.7 % | 1.88 | 25 de enero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABALAT, S.A. DE C.V. | 3 | 8,582.2 MXN | 15.7 % | 1.88 | 2009 - 2011 |
Entity type
Consumibles de equipos medicos y de laboratorio
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=379.765.4468.00")
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=379.765.4468.00')
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=379.765.4468.00')