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Description
INTERFERON BETA 1A. SOLUCION INYECTABLE. CADA FRASCO AMPULA CONTIENE: INTERFERON BETA 1A 6 MILLONES UI (30 MICROGRAMOS). ENVASE CON UN FRASCO AMPULA CON DISPOSITIVO MEDICO Y UNA JERINGA CON 1 ML DE DILUYENTE
IMSS product code
010.000.5251.02
Each circle represents one of the 3 purchases of INTERFERÓN (BETA) made by the IMSS between 2010 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Campeche Almacen Delegacional En Campeche | Campeche | 3 | 70,280 MXN | - MXN | - | - | 10 de enero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| FARMACEUTICOS MAYPO, S. A. DE C. V. | 3 | - MXN | - | - | 2010 - 2011 |
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=010.000.5251.02")
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=010.000.5251.02')
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=010.000.5251.02')