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Description
SUERO PARA TIPIFICAR LA SANGRE ANTI CELLANO. FRASCO CON 2 ML. RTC
IMSS product code
080.081.0574.11
Each circle represents one of the 10 purchases of SUEROS PARA TIPIFICAR LA SANGRE MEDIOS PROTEICOS ENZIMAS Y ANTÍGENOS made by the IMSS between 2009 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 5 | 367,624.9 MXN | 49,847 MXN | 15.9 % | 17.1 | 11 de enero de 2013 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 2 | 13,187.3 MXN | 2,673.3 MXN | 21.5 % | 0.859 | 13 de junio de 2013 |
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 1 | 18,966 MXN | 2,616 MXN | 16 % | 1.6 | 1 de abril de 2010 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 1 | 1,896.6 MXN | 267.2 MXN | 16.4 % | 0.164 | 4 de marzo de 2011 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 1 | 1,880.3 MXN | 245.3 MXN | 15 % | 0.15 | 24 de febrero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PIZAYA MOLINA JAIME ARTURO | 3 | 39,772.4 MXN | 15.7 % | 10.9 | 2012 - 2013 |
| CORPORATIVO LAYN PLUS, S. A. DE C. V. | 2 | 10,074.6 MXN | 16.2 % | 6.18 | 2010 - 2011 |
| QUIMICA INDUSTRIAL Y DE SALUD, SA DE CV | 2 | 2,975.8 MXN | 13.5 % | 1.82 | 2010 - 2011 |
| ABALAT, S.A. DE C.V. | 1 | 2,313.5 MXN | 31.9 % | 0.638 | 2013 - 2013 |
| BIOLOGISTICA INTEGRAL, S.A. DE C.V. | 1 | 245.3 MXN | 15 % | 0.15 | 2009 - 2009 |
| LABSSA, S.A. DE C.V. | 1 | 267.2 MXN | 16.4 % | 0.164 | 2011 - 2011 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=080.081.0574.11")
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=080.081.0574.11')
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=080.081.0574.11')