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Description
PARA IMPRESORA MARCA HEWLETT PACKARD MODELOS HP COLOR LASERJET 4600, 4600DTN, 4600HDN, 4600N, 4610, 4650, 4650DN, 4650DTN, 4650HDN, 4650N, NUMERO DE PARTE C9723A MAGENTA
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.4735.00
Each circle represents one of the 5 purchases of CARTUCHO DE TONER made by the IMSS between 2010 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 2 | 24,285.8 MXN | 3,349.8 MXN | 16 % | 1.92 | 6 de abril de 2017 |
| Oficinas Centrales Almacen De Programas Especiales Y Red Fria | 2 | 19,586.6 MXN | 2,701.6 MXN | 16 % | 0.96 | 24 de abril de 2012 | |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 2,858.9 MXN | 394.3 MXN | 16 % | 0.32 | 14 de octubre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ALDRETE ALCANTARA ELVA PIEDAD | 1 | 469.8 MXN | 16 % | 0.64 | 2016 - 2016 |
| CESAR LOPEZ GOMEZ | 1 | 2,880 MXN | 16 % | 1.28 | 2017 - 2017 |
| GRUPO BAROLVHER, S.A. DE C.V. | 1 | 2,212 MXN | 16 % | 0.8 | 2011 - 2011 |
| O FARRILL EQUIPO PARA OFICINAS, S.A. DE C.V. | 1 | 489.6 MXN | 16 % | 0.16 | 2012 - 2012 |
| OFIDEMO SA DE CV | 1 | 394.3 MXN | 16 % | 0.32 | 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=372.197.4735.00")
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=372.197.4735.00')
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=372.197.4735.00')