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Description
NEGRA NO 56 PARA IMPRESORA HP DESKJET 5600
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.2788.00
Each circle represents one of the 21 purchases of CARTUCHO DE TINTA made by the IMSS between 2009 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 5 | 5,043.9 MXN | 1,721.8 MXN | 42.8 % | 6.01 | 5 de octubre de 2011 |
| Delegación Nayarit Almacen Delegacional En Nayarit | Nayarit | 4 | 9,892.5 MXN | 4,104.2 MXN | 69.5 % | 11.3 | 23 de diciembre de 2010 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 4 | 29,285.2 MXN | 1,317 MXN | 4.46 % | 5.06 | 24 de abril de 2012 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 3 | 1,711.5 MXN | 120 MXN | 11.1 % | 0.332 | 19 de abril de 2010 |
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 2 | 3,136.5 MXN | 1,056.1 MXN | 50.9 % | 3.59 | 15 de mayo de 2012 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 1,104 MXN | 415.1 MXN | 60.3 % | 1.21 | 20 de mayo de 2009 |
| Delegación Veracruz Norte | Veracruz | 1 | 395 MXN | - MXN | - | - | 6 de agosto de 2009 |
| H. de Traumatología y Ortopedia, Lomas Verdes Umae Traumatologia Y Ortopedia Lomas Verdes | Estado de México | 1 | 375.8 MXN | 51.8 MXN | 16 % | 0.16 | 12 de agosto de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SANTOS RIOS JOSE GUADALUPE | 5 | 1,721.8 MXN | 42.8 % | 6.01 | 2009 - 2011 |
| TCA EMPRESARIAL, S.A. DE C.V. | 3 | 3,644.5 MXN | 71.4 % | 10.1 | 2010 - 2010 |
| LASER OFITECH, S.A. DE C.V. | 2 | - MXN | - | - | 2009 - 2009 |
| ALVAREZ CAMPOS CARLOS RICARDO | 1 | 456 MXN | 5.39 % | 1.62 | 2011 - 2011 |
| ATEC SURESTE, S,A. DE C.V. | 1 | 41.5 MXN | 1.47 % | 0.147 | 2011 - 2011 |
| COMERCIALIZADORA DAMAG, S.A. DE C.V. | 1 | 533.7 MXN | 53.6 % | 2.15 | 2012 - 2012 |
| FUKUY LUVIANO JOSE | 1 | 120 MXN | 33.2 % | 0.332 | 2010 - 2010 |
| GONZALEZ LEON MIGUEL ANGEL | 1 | 415.1 MXN | 60.3 % | 1.21 | 2009 - 2009 |
| NAVARRO VALDEZ MARIA GUADALUPE | 1 | 522.5 MXN | 48.1 % | 1.44 | 2010 - 2010 |
| OFIX, S. A. DE C. V. | 1 | - MXN | - | - | 2009 - 2009 |
| REPARACION Y SERVICIOS DE COMPUTO, S.A. DE C.V. | 1 | 819.6 MXN | 11 % | 3.29 | 2012 - 2012 |
| SOLUCIONES INTEGRALES YDOSK, S.A. DE C.V. | 1 | 459.7 MXN | 63.5 % | 1.27 | 2010 - 2010 |
| SOLUCIONES Y SUMINISTROS JELINOVA S. A. DE C. V. | 1 | - MXN | - | - | 2010 - 2010 |
| SURTIDORA ALEVI, S.A. DE C.V. | 1 | 51.8 MXN | 16 % | 0.16 | 2014 - 2014 |
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=372.197.2788.00")
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=372.197.2788.00')
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=372.197.2788.00')