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Description
MERCAPTO-ACETIL-TRIGLICINA -(MAG 3) SUSTANCIA QUIMICAQUE SE UTILIZA PARA LA PREPARACION DE RADIOFARMACOS RTC.
IMSS product code
080.827.1035.02
Each circle represents one of the 2 purchases of PRECURSORES DE RADIOFÁRMACOS made by the IMSS between 2014 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 1 | 47,068.9 MXN | 6,492.3 MXN | 16 % | 1.12 | 1 de enero de 2017 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 1 | 37,778.9 MXN | 5,210.9 MXN | 16 % | 1.28 | 9 de junio de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ACCESOFARM, S.A. DE C.V. | 1 | 6,492.3 MXN | 16 % | 1.12 | 2017 - 2017 |
| INSTITUTO NACIONAL DE INVESTIGACIONES NUCLEARES | 1 | 5,210.9 MXN | 16 % | 1.28 | 2014 - 2014 |
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=080.827.1035.02")
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=080.827.1035.02')
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=080.827.1035.02')