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Description
ALUMINIO SUSPENSION ORAL. CADA 5 MILILITROS CONTIENEN: GEL DE HIDROXIDO DE ALUMINIO EQUIVALENTE A 350 MG DE HIDROXIDO DE ALUMINIO. ENVASE CON 240 ML SIN CAJA.
IMSS product code
010.000.1222.02
Each circle represents one of the 2 purchases of ALUMINIO made by the IMSS between 2010 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Guanajuato | Guanajuato | 1 | 103 MXN | 2.78 MXN | 2.77 % | 0.277 | 21 de octubre de 2010 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 1,260 MXN | - MXN | - | - | 10 de diciembre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUEZADA ROMERO MIGUEL ANGEL | 1 | - MXN | - | - | 2010 - 2010 |
| SOLUCIONES INTRAHOSPITALARIAS DE LEON, S.A. DE C.V | 1 | 2.78 MXN | 2.77 % | 0.277 | 2010 - 2010 |
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=010.000.1222.02")
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=010.000.1222.02')
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=010.000.1222.02')