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Description
ACIDO DIMERCAPTOSUCCINICO -DMSA SUSTANCIA QUIMICA QUESE UTILIZA PARA LA PRE PARACION DE RADIOFARMACOS RTC.
IMSS product code
080.827.0094.01
Each circle represents one of the 7 purchases of PRECURSORES DE RADIOFÁRMACOS made by the IMSS between 2012 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Oncología, Centro Médico Nacional Siglo XXI Umae Oncologia C.m.n. Siglo Xxi | Ciudad de México | 7 | 30,078.1 MXN | 4,148.7 MXN | 16 % | 3.04 | 16 de febrero de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ACCESOFARM, S.A. DE C.V. | 4 | 2,860.1 MXN | 16 % | 1.44 | 2015 - 2018 |
| INSTITUTO NACIONAL DE INVESTIGACIONES NUCLEARES | 3 | 1,288.6 MXN | 16 % | 1.6 | 2012 - 2014 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=080.827.0094.01")
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=080.827.0094.01')
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=080.827.0094.01')