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Description
NUMERO CATALOGO PROVEEDOR: 1560, MARCA: BIRDMARK, MODELO: 4-7-8-10, REFACCION PARA EQUIPO: RESPIRADOR
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.103.0103.00
Each circle represents one of the 1 purchases of BOQUILLA made by the IMSS between 2009 and 2009.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 1 | 126.5 MXN | 16.5 MXN | 15 % | 0.3 | 24 de septiembre de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GRUPO COMERCIAL TENDENZZIAS, S.A. DE C.V. | 1 | 16.5 MXN | 15 % | 0.3 | 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=379.103.0103.00")
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=379.103.0103.00')
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=379.103.0103.00')