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Description
(GASES) CAJA CON 10 PIEZAS CON NUMERO DE CATALOGO: 73385 PARA SUUSO EN EL EQUIPOCON CLAVE: 531.619.0452 MONITOR TRANSOPERATORIO, MARCA: DATEXOHMEDA, MODELO: AS/3 AM
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.017.0496.01
Each circle represents one of the 1 purchases of ADAPTADOR EN T made by the IMSS between 2016 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 394.4 MXN | 54.4 MXN | 16 % | 0.64 | 14 de octubre de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| G.E. SISTEMAS MEDICOS DE MEXICO SA DE CV | 1 | 54.4 MXN | 16 % | 0.64 | 2016 - 2016 |
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=379.017.0496.01")
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=379.017.0496.01')
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=379.017.0496.01')