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Description
PARA TINTERO 02-33-0302 NÚMERO CATÁLOGO PROVEEDOR: 18955-0106, MARCA: ALVAR, REFACCIÓNES PARA EQUIPO: ELECTROENCEFALOGRAFOS, MODELO: OMITIDO.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.604.0214.00
Each circle represents one of the 1 purchases of MANGUERA made by the IMSS between 2012 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 2,610 MXN | 360 MXN | 16 % | 4.8 | 16 de febrero de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SERVICIOS MEDICOS Y TECNICOS, S.A. DE C.V. | 1 | 360 MXN | 16 % | 4.8 | 2012 - 2012 |
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=379.604.0214.00")
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=379.604.0214.00')
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=379.604.0214.00')