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Description
HP DESKJET 2110 2210, 5550, 7550 PARTE C6657A
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.2713.00
Each circle represents one of the 16 purchases of CARTUCHO PARA IMPRESORA made by the IMSS between 2009 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 4 | 6,213.1 MXN | 1,352.7 MXN | 31.5 % | 3.85 | 5 de junio de 2012 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 2 | 8,299.8 MXN | 834.8 MXN | 7.63 % | 1.98 | 28 de marzo de 2012 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 2 | 14,579.4 MXN | 2,430.2 MXN | 13.5 % | 5.93 | 10 de febrero de 2010 |
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 2 | 62,216.1 MXN | 8,679.5 MXN | 37.7 % | 16.6 | 1 de abril de 2011 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 2 | 1,467.9 MXN | 202.5 MXN | 16 % | 0.32 | 5 de julio de 2013 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 2 | 1,364.2 MXN | 31.7 MXN | 3.77 % | 0.0754 | 21 de febrero de 2012 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 1,033.5 MXN | 466.4 MXN | 82.2 % | 1.64 | 13 de abril de 2009 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 660.1 MXN | 376.5 MXN | 132.8 % | 1.33 | 11 de noviembre de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MANUEL ALONSO CORPORACION, S.A. DE C.V. | 2 | - MXN | - | - | 2009 - 2010 |
| MARIA E BERUMEN PRECIADO | 2 | 202.5 MXN | 16 % | 0.32 | 2013 - 2013 |
| SOLUCIONES Y SUMINISTROS JELINOVA S. A. DE C. V. | 2 | 8,679.5 MXN | 37.7 % | 16.6 | 2009 - 2011 |
| TCA EMPRESARIAL, S.A. DE C.V. | 2 | 647.8 MXN | 18.8 % | 1.49 | 2011 - 2012 |
| COMERCIALIZADORA CIPAC, S.A. DE C.V. | 1 | 466.4 MXN | 82.2 % | 1.64 | 2009 - 2009 |
| COMPUMARK, S.A. DE C.V | 1 | 834.8 MXN | 15.3 % | 1.98 | 2012 - 2012 |
| DELGADO HERNANDEZ GUSTAVO | 1 | 625.9 MXN | 73.6 % | 2.21 | 2009 - 2009 |
| PACHECO GUERRA JESUS MANUEL | 1 | 31.7 MXN | 7.54 % | 0.0754 | 2012 - 2012 |
| PROVEEDORA DE CONSUMIBLES DE DURANGO, S. A. DE C. | 1 | 2,430.2 MXN | 27 % | 5.93 | 2010 - 2010 |
| PROVEEDORA DE PAPELES Y CONSUMIBLES, S. DE R. L. | 1 | - MXN | - | - | 2009 - 2009 |
| PROVEEDORA EL GUARDIAN, S. DE R.L. DE C.V. | 1 | 79 MXN | 14.8 % | 0.148 | 2011 - 2011 |
| SANTOS RIOS JOSE GUADALUPE | 1 | 376.5 MXN | 132.8 % | 1.33 | 2009 - 2009 |
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=372.197.2713.00")
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=372.197.2713.00')
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=372.197.2713.00')