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Description
I131-Yodo norcolesterol. Radiofármaco con pureza radioquímica igual o mayor al 95% y actividad específica de 222 megabecquereles (MBq)
Classification
Material médico. Material de laboratorio
IMSS product code
080.825.0153.00
Presentation
Frasco RTC
Each circle represents one of the 4 purchases of RADIOFÁRMACOS Y GENERADORES DE RADIONUCLIDOS made by the IMSS between 2014 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 | 3 | 636,840 MXN | 87,840 MXN | 16 % | 3.52 | 16 de febrero de 2018 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 1 | 19,140 MXN | 2,640 MXN | 16 % | 0.16 | 9 de junio de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ACCESOFARM, S.A. DE C.V. | 4 | 90,480 MXN | 16 % | 3.68 | 2014 - 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=080.825.0153.00")
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=080.825.0153.00')
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=080.825.0153.00')