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Description
Hormona de crecimiento. (Ac. Primario)
Classification
Material médico. Material de laboratorio
IMSS product code
080.070.1351.00
Presentation
Frasco con 1 ml RTC
Each circle represents one of the 14 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2009 and 2016.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DIAGNOCELL LABORATORIOS, S.A. DE C.V. | 4 | 7,391.3 MXN | 66.8 % | 2.67 | 2010 - 2016 |
| COMERCIALIZADORA JOMAYER, S.A. DE C.V. | 2 | 4,630.3 MXN | 15 % | 0.3 | 2009 - 2009 |
| CUBILLAS PUNARO MARCO ANTONIO | 2 | 834.4 MXN | 4.95 % | 0.0989 | 2012 - 2013 |
| QUIMICOS UNIVERSAL VILLAVICENCIO, S. A. DE C. V. | 2 | 4,272.4 MXN | 19.1 % | 0.381 | 2013 - 2014 |
| RAMIREZ ROMERO JESUS ARMANDO | 2 | 29,962.5 MXN | 21.8 % | 4.58 | 2011 - 2012 |
| BIOCARE MEDICAL REPRESENTANTE, S.A. DE C.V. | 1 | 6,718.8 MXN | 25.4 % | 0.508 | 2016 - 2016 |
| INDUSTRIAS BIOSELEC, S.A. DE C.V. | 1 | 336.5 MXN | 6.24 % | 0.125 | 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=080.070.1351.00")
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=080.070.1351.00')
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=080.070.1351.00')