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Description
Anticuerpo monoclonal anti cadena pesada M
Classification
Material médico. Material de laboratorio
IMSS product code
080.070.0080.00
Presentation
Frasco con 1 ml RTC
Each circle represents one of the 22 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2009 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CORPORACION MEDIGROUP S. DE R.L. DE C.V. | 5 | 1,872 MXN | 6.43 % | 0.643 | 2013 - 2018 |
| DIAGNOCELL LABORATORIOS, S.A. DE C.V. | 5 | 5,980.1 MXN | 20.8 % | 2.74 | 2010 - 2016 |
| RAMIREZ ROMERO JESUS ARMANDO | 5 | 5,374 MXN | 27.3 % | 1.44 | 2009 - 2013 |
| BIOCARE MEDICAL REPRESENTANTE, S.A. DE C.V. | 2 | 4,792.1 MXN | 48.8 % | 0.977 | 2017 - 2018 |
| COMERCIAL BIOMEDICO JR. S. A. DE C. V. | 2 | 5,157.4 MXN | 34.3 % | 1.37 | 2010 - 2015 |
| COMERCIALIZADORA JOMAYER, S.A. DE C.V. | 1 | 1,027.4 MXN | 34.6 % | 0.346 | 2009 - 2009 |
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 1 | 15,412.3 MXN | 16 % | 8 | 2011 - 2011 |
| INTERACTIVOS PARA LABORATORIO S.A. DE C.V. | 1 | 4,225.8 MXN | 35.6 % | 1.42 | 2009 - 2009 |
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=080.070.0080.00")
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=080.070.0080.00')
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=080.070.0080.00')