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Description
PARA IMPRESORA MARCA HP MODELO LASER JET 5500 (SERIE) NO DE PARTE C9730A, NEGRO
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.3687.00
Each circle represents one of the 6 purchases of CARTUCHO DE TONER made by the IMSS between 2011 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 3 | 2,001.5 MXN | 276.1 MXN | 16 % | 0.96 | 18 de noviembre de 2016 |
| Oficinas Centrales Almacen De Programas Especiales Y Red Fria | 2 | 13,943.2 MXN | 2,283.2 MXN | 18.5 % | 0.791 | 24 de abril de 2012 | |
| H. General, "Dr. Gaudencio González Garza" Centro Médico Nacional La Raza Umae Hospital General C.m.n. La Raza | Ciudad de México | 1 | 2,795.6 MXN | 25.6 MXN | 0.924 % | 0.00924 | 19 de abril de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MENDOZA AGUILA RAMIRO LORENZO | 3 | 276.1 MXN | 16 % | 0.96 | 2015 - 2016 |
| GRUPO BAROLVHER, S.A. DE C.V. | 1 | 1,747.2 MXN | 21 % | 0.631 | 2011 - 2011 |
| O FARRILL EQUIPO PARA OFICINAS, S.A. DE C.V. | 1 | 536 MXN | 16 % | 0.16 | 2012 - 2012 |
| SURTIDORA ALEVI, S.A. DE C.V. | 1 | 25.6 MXN | 0.924 % | 0.00924 | 2011 - 2011 |
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=372.197.3687.00")
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=372.197.3687.00')
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=372.197.3687.00')