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Description
DE 1 LITRO NUMERO CATALOGO PROVEEDOR= 503101 MARCA= FOREGGER REFACCION PARA EQUIPO= ANESTESIA
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.100.0239.00
Each circle represents one of the 2 purchases of BOLSA RESPIRATORIA made by the IMSS between 2009 and 2009.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 2 | 1,466.3 MXN | 191.3 MXN | 15 % | 2.25 | 16 de abril de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 2 | 191.3 MXN | 15 % | 2.25 | 2009 - 2009 |
Entity type
Consumibles de equipos medicos y 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=379.100.0239.00")
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=379.100.0239.00')
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=379.100.0239.00')