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Description
ACIDO DIMERCAPTOSUCCINICO, DMSA. SUSTANCIA NO RADIACTIVA QUE SE UTILIZA PARA LA PREPARACION DE RADIOFARMACO. QUE SE PUEDA MARCAR CON ACTIVIDAD IGUAL O MAYOR A 3700 MBQ. POR FRASCO. ESTUCHE CON 5 FRASCOS. RTC
IMSS product code
080.827.0094.11
Each circle represents one of the 129 purchases of PRECURSORES DE RADIOFÁRMACOS made by the IMSS between 2009 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ACCESOFARM, S.A. DE C.V. | 77 | 309,281.6 MXN | 26.6 % | 192 | 2009 - 2018 |
| INSTITUTO NACIONAL DE INVESTIGACIONES NUCLEARES | 50 | 12,186.7 MXN | 4.71 % | 12.5 | 2009 - 2015 |
| DESARROLLO Y TECNOLOGIA EMPRESARIAL, S.A. DE C.V. | 1 | 14,539.4 MXN | 202.1 % | 12.1 | 2009 - 2009 |
| MEDIDORES INDUSTRIALES Y MEDICOS, SA DE CV | 1 | 1,247.8 MXN | 26.7 % | 0.802 | 2015 - 2015 |
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=080.827.0094.11")
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=080.827.0094.11')
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=080.827.0094.11')