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Description
SUERO PARA TIPIFICAR LA SANGRE ANTI-HR' (ANTI-C) FRASCO DE 2 ML. RTC.
IMSS product code
080.081.0202.01
Each circle represents one of the 19 purchases of SUSTANCIAS BIOLÓGICAS 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 | 9 | 562,525.7 MXN | 78,504.1 MXN | 27.2 % | 52.2 | 11 de enero de 2013 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 4 | 130,220 MXN | 17,845.7 MXN | 13.1 % | 11.5 | 13 de junio de 2013 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 2 | 17,349 MXN | 2,028.1 MXN | 8.21 % | 1.97 | 7 de marzo de 2012 |
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 1 | 11,832 MXN | 1,539.3 MXN | 15 % | 1.5 | 1 de abril de 2010 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 1 | 3,320.5 MXN | 1,262 MXN | 61.3 % | 1.23 | 24 de mayo de 2010 |
| H. de Especialidades No. 1, "Lic. Ignacio García Tellez" Mérida, Yucatán. Umae Especialidades Yucatan | Yucatán | 1 | 3,056.6 MXN | 695.6 MXN | 29.5 % | 0.295 | 7 de mayo de 2013 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 1 | 1,183.2 MXN | 204.5 MXN | 20.9 % | 0.209 | 4 de marzo de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CORPORATIVO LAYN PLUS, S. A. DE C. V. | 3 | 28,739.2 MXN | 23.4 % | 25.3 | 2010 - 2012 |
| ABALAT, S.A. DE C.V. | 2 | 13,589.7 MXN | 43.7 % | 6.45 | 2010 - 2013 |
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 2 | 5,238.4 MXN | 11.9 % | 7.41 | 2009 - 2009 |
| HIPODERMICOS ARMA, S.A. DE C.V. | 2 | 1,797.9 MXN | 34.5 % | 1.75 | 2010 - 2010 |
| PIZAYA MOLINA JAIME ARTURO | 2 | 42,944.7 MXN | 14.3 % | 18 | 2012 - 2013 |
| QUIMICA INDUSTRIAL Y DE SALUD, SA DE CV | 2 | 2,186.8 MXN | 8.86 % | 2.16 | 2010 - 2011 |
| ABASTECEDOR HOSPITALARIO DEL SURESTE, S.A. DE C.V. | 1 | 695.6 MXN | 29.5 % | 0.295 | 2013 - 2013 |
| BIO LEBEN, S.A. DE C.V. | 1 | 2,789.5 MXN | 11.3 % | 2.71 | 2010 - 2010 |
| CONSORCIO HOSPITALARIO S. A. DE C. V. | 1 | - MXN | - | - | 2012 - 2012 |
| LABSSA, S.A. DE C.V. | 1 | 204.5 MXN | 20.9 % | 0.209 | 2011 - 2011 |
| QUIMICA TECH, S. A. DE C. V. | 1 | 1,864.8 MXN | 66 % | 2.64 | 2009 - 2009 |
| SDP MEXICO, S.A. DE C.V. | 1 | 2,028.1 MXN | 16.4 % | 1.97 | 2010 - 2010 |
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=080.081.0202.01")
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=080.081.0202.01')
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=080.081.0202.01')