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Description
Anticuerpo monoclonal CD 2
Classification
Material médico. Material de laboratorio
IMSS product code
080.070.1179.00
Presentation
Frasco con 1 ml RTC
Each circle represents one of the 15 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 | 8 | 171,510.1 MXN | 25,471.7 MXN | 21.3 % | 4.02 | 29 de enero de 2018 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 5 | 83,071.1 MXN | 7,676.1 MXN | 8.68 % | 1.03 | 18 de marzo de 2014 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 5,865.8 MXN | 2,373.9 MXN | 68 % | 0.68 | 8 de marzo de 2011 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 1 | 32,459.7 MXN | 9,205.3 MXN | 39.6 % | 0.792 | 15 de noviembre de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CORPORACION MEDIGROUP S. DE R.L. DE C.V. | 5 | 16,159.2 MXN | 25.9 % | 2.59 | 2012 - 2018 |
| RAMIREZ ROMERO JESUS ARMANDO | 3 | 10,708 MXN | 34.5 % | 1.84 | 2010 - 2015 |
| ABALAT, S.A. DE C.V. | 2 | - MXN | - | - | 2013 - 2014 |
| DESARROLLO Y TECNOLOGIA EMPRESARIAL, S.A. DE C.V. | 2 | 7,265.4 MXN | 15.5 % | 0.91 | 2009 - 2012 |
| DIAGNOCELL LABORATORIOS, S.A. DE C.V. | 1 | 978.4 MXN | 5.6 % | 0.28 | 2011 - 2011 |
| GRUPO JIM PERTH, S.A. DE C.V. | 1 | 9,205.3 MXN | 39.6 % | 0.792 | 2018 - 2018 |
| INDUSTRIAS BIOSELEC, S.A. DE C.V. | 1 | 410.7 MXN | 12.4 % | 0.124 | 2010 - 2010 |
Entity type
Material 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=080.070.1179.00")
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=080.070.1179.00')
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=080.070.1179.00')