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Description
ANTICUERPOS ANTICITOPLASMATICOS (ANCA), SUSTRATO POLIMORFONUCLEARES. JUEGO DE REACTIVOS PARA LA DETERMINACION POR METODO DE INMUNOFLUORESCENCIA INDIRECTA. INCLUYE CONTROLES POSITIVOS Y NEGATIVOS PARA P-ANCA Y C-ANCA. MONTAJE PARA
IMSS product code
080.829.4557.03
Each circle represents one of the 5 purchases of SUSTANCIAS BIOLÓGICAS ANTÍGENOS SUEROS made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 3 | 82,417.8 MXN | 7,795.2 MXN | 10.7 % | 1.92 | 25 de febrero de 2011 |
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 1 | 136,942 MXN | 24,455.1 MXN | 21.7 % | 5.65 | 1 de enero de 2009 |
| H. de Pediatría, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco. Umae Pediatria Jalisco | Jalisco | 1 | 26,220 MXN | 261.5 MXN | 1.01 % | 0.0604 | 1 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 3 | 28,306.9 MXN | 12.9 % | 6.67 | 2009 - 2010 |
| ABALAT, S.A. DE C.V. | 1 | 4,204.8 MXN | 16 % | 0.96 | 2011 - 2011 |
| GARDUNO MENA JOSE RAYMUNDO | 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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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=080.829.4557.03")
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=080.829.4557.03')
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=080.829.4557.03')