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Description
ALBUMINA MACROAGREGADOS DE -ESTUCHE DE DIAGNOSTICO RADIOACTIVO PARA LA DETERMINA CIONDE HORMONAS Y OTRAS SUSTANCIAS RTC.
IMSS product code
080.827.0052.02
Each circle represents one of the 5 purchases of PRECURSORES DE RADIOFÁRMACOS made by the IMSS between 2010 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 | 51,763.8 MXN | 7,139.8 MXN | 16 % | 3.84 | 16 de febrero de 2018 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 2 | 63,670.1 MXN | 8,782.1 MXN | 16 % | 13.4 | 12 de enero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INSTITUTO NACIONAL DE INVESTIGACIONES NUCLEARES | 2 | 8,782.1 MXN | 16 % | 13.4 | 2010 - 2011 |
| MEDIDORES INDUSTRIALES Y MEDICOS, SA DE CV | 2 | 3,456 MXN | 16 % | 2.56 | 2015 - 2015 |
| ACCESOFARM, S.A. DE C.V. | 1 | 3,683.8 MXN | 16 % | 1.28 | 2018 - 2018 |
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=080.827.0052.02")
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=080.827.0052.02')
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=080.827.0052.02')