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Description
INTERFERON BETA 1A, RECOMBINANTE HUMANO LIOFILIZADO PARA SOLUCION INYECTABLE DE 44 MICROGRAMOS EQUIVALENTE A 12 MILLONES UI Y UN FRASCO AMPULA CON 2 ML DE DILUYENTE O JERINGA PRELLENADA.
IMSS product code
010.000.5237.04
Each circle represents one of the 1 purchases of INTERFERÓN (BETA) made by the IMSS between 2009 and 2009.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 33,600 MXN | - MXN | - | - | 14 de mayo de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DISTRIBUCION ESPECIALIZADA DE MEDICAMENTOS,S.A. DE | 1 | - MXN | - | - | 2009 - 2009 |
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=010.000.5237.04")
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=010.000.5237.04')
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=010.000.5237.04')