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Description
MARCA HP MODELO LASERJET 4500, PARTE C4194A, AMARILLO
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.0196.00
Each circle represents one of the 2 purchases of CARTUCHO PARA IMPRESORA made by the IMSS between 2010 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 3,016 MXN | 416 MXN | 16 % | 0.32 | 27 de octubre de 2017 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 1 | 1,281.8 MXN | 176.8 MXN | 16 % | 0.16 | 18 de mayo de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| LABORATORIO DE COMPUTACION DE MICHOACAN SA DE CV | 1 | 416 MXN | 16 % | 0.32 | 2017 - 2017 |
| SURTIDORA ALEVI, S.A. DE C.V. | 1 | 176.8 MXN | 16 % | 0.16 | 2010 - 2010 |
Entity type
Material de uso en equipos de computo
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=372.197.0196.00")
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=372.197.0196.00')
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=372.197.0196.00')