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Description
REACTIVO DE INMUNOHISTOQUIMICA PARA ENOLASA NEURONO ESPECIFICA FCO CON 7 ML, CONTROLNEGATIVO FCO CON 5 ML (NSE)RTC.
IMSS product code
080.783.5079.10
Each circle represents one of the 13 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2009 and 2018.
| 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 | 9 | 98,065.7 MXN | 13,059.1 MXN | 15.3 % | 3.4 | 29 de enero de 2018 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 2 | 13,546.7 MXN | 4,314.4 MXN | 42.5 % | 0.85 | 24 de junio de 2016 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 16,511.5 MXN | 2,374.1 MXN | 16.8 % | 0.672 | 11 de septiembre de 2013 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 13,746 MXN | 1,432.7 MXN | 11.6 % | 0.349 | 16 de febrero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CORPORACION MEDIGROUP S. DE R.L. DE C.V. | 5 | 4,878.2 MXN | 12.5 % | 1.25 | 2013 - 2018 |
| RAMIREZ ROMERO JESUS ARMANDO | 5 | 8,607 MXN | 15.1 % | 2.22 | 2009 - 2015 |
| DIAGNOCELL LABORATORIOS, S.A. DE C.V. | 2 | 5,320.9 MXN | 48.3 % | 1.13 | 2011 - 2016 |
| QUIMICOS UNIVERSAL VILLAVICENCIO, S. A. DE C. V. | 1 | 2,374.1 MXN | 16.8 % | 0.672 | 2013 - 2013 |
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=080.783.5079.10")
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=080.783.5079.10')
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=080.783.5079.10')