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Description
Anticuerpo monoclonal CD 43. (MT-1)
Classification
Material médico. Material de laboratorio
IMSS product code
080.070.0023.00
Presentation
Frasco con 1 ml RTC
Each circle represents one of the 38 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2009 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GRUPO JIM PERTH, S.A. DE C.V. | 9 | 30,006 MXN | 17.9 % | 3.95 | 2017 - 2018 |
| DIAGNOCELL LABORATORIOS, S.A. DE C.V. | 7 | 8,159 MXN | 19.3 % | 2.03 | 2009 - 2015 |
| RAMIREZ ROMERO JESUS ARMANDO | 6 | 16,522.5 MXN | 26.7 % | 3.24 | 2010 - 2012 |
| CUBILLAS PUNARO MARCO ANTONIO | 5 | 8,569.9 MXN | 11.9 % | 1.83 | 2012 - 2015 |
| BIOCARE MEDICAL REPRESENTANTE, S.A. DE C.V. | 4 | 6,372.7 MXN | 16.7 % | 0.999 | 2016 - 2018 |
| CORPORACION MEDIGROUP S. DE R.L. DE C.V. | 4 | 1,790.8 MXN | 5.04 % | 0.403 | 2013 - 2018 |
| INTERACTIVOS PARA LABORATORIO S.A. DE C.V. | 2 | 2,286.6 MXN | 7.24 % | 0.623 | 2009 - 2010 |
| DESARROLLO Y TECNOLOGIA EMPRESARIAL, S.A. DE C.V. | 1 | 13,644.2 MXN | 82.1 % | 1.64 | 2018 - 2018 |
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=080.070.0023.00")
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=080.070.0023.00')
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=080.070.0023.00')