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Description
MARCA HP MODELOS LASERJET, 4, 4M, 4PLUS, 4MPLUS, 5/5N, 5M, PARTE 92298A, NEGRO
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.0253.00
Each circle represents one of the 9 purchases of CARTUCHO PARA IMPRESORA made by the IMSS between 2009 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Almacen De Programas Especiales Y Red Fria | 4 | 138,511.5 MXN | 18,193.5 MXN | 15.3 % | 9.98 | 1 de septiembre de 2009 | |
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 3 | 334,134 MXN | 46,087.5 MXN | 18.5 % | 21.8 | 26 de junio de 2015 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 1 | 4,474.8 MXN | 1,507.4 MXN | 50.8 % | 1.02 | 9 de diciembre de 2010 |
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 1 | 4,130.6 MXN | - MXN | - | - | 1 de mayo de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SURTIDORA ROLO, S.A. DE C.V. | 4 | 18,193.5 MXN | 15.3 % | 9.98 | 2009 - 2009 |
| COMERCIALIZADORA TONYCOM,S.A DE C.V | 2 | 16,532 MXN | 20 % | 9.36 | 2013 - 2015 |
| SACOMER INTERNACIONAL S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| SURTIDORA ALEVI, S.A. DE C.V. | 1 | 1,507.4 MXN | 50.8 % | 1.02 | 2010 - 2010 |
| VICTOR MANUEL FLORES AGUILAR | 1 | 29,555.4 MXN | 15.3 % | 12.4 | 2015 - 2015 |
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=372.197.0253.00")
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=372.197.0253.00')
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=372.197.0253.00')