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Description
PARA IMPRESORA LEXMARK MODELO 330 NO DE PARTE
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.2986.00
Each circle represents one of the 34 purchases of CARTUCHO DE TONER made by the IMSS between 2009 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 10 | 5.3 millones MXN | 702,084.8 MXN | 15.6 % | 475.2 | 16 de marzo de 2017 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 6 | 33,820 MXN | 2,431.2 MXN | 15.9 % | 1.91 | 19 de julio de 2010 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 4 | 64,509.2 MXN | 2,412.9 MXN | 6.06 % | 1.72 | 1 de enero de 2011 |
| H. de Cardiología, Centro Médico Nacional Siglo XXI Umae Cardiologia C.m.n. Siglo Xxi | Ciudad de México | 4 | 9,172.5 MXN | 1,096.4 MXN | 11.6 % | 0.801 | 28 de octubre de 2010 |
| Delegación Querétaro Almacen Delegacional En Queretaro | Querétaro | 3 | 7,063.3 MXN | 962.3 MXN | 18.3 % | 0.805 | 15 de junio de 2009 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 3 | 155,085.9 MXN | 49,239.4 MXN | 40.1 % | 35.9 | 1 de enero de 2010 |
| Delegación Baja California | Baja California | 1 | 544.5 MXN | - MXN | - | - | 14 de diciembre de 2009 |
| Delegación Campeche Almacen Delegacional En Campeche | Campeche | 1 | 4,025 MXN | 1,633.4 MXN | 68.3 % | 1.37 | 27 de mayo de 2009 |
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 1 | 1,084.4 MXN | - MXN | - | - | 25 de mayo de 2009 |
| H. de Gineco Obstetricia Núm. 23, "Ignacio Morones Prieto" Monterrey, N.L. Umae Gineco - Obstetricia Nuevo Leon | Nuevo León | 1 | 1.5 millones MXN | 252,343.9 MXN | 19.9 % | 143.2 | 28 de febrero de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MICROXPERTS SA DE CV | 4 | 528,691.2 MXN | 14.6 % | 316.8 | 2013 - 2015 |
| ARS INTEGRACION DE SOLUCIONES, S. A. DE C. V. | 3 | 114,932.7 MXN | 14.8 % | 75.6 | 2010 - 2012 |
| MARIA E BERUMEN PRECIADO | 3 | - MXN | - | - | 2009 - 2009 |
| SOLUCIONES Y SUMINISTROS JELINOVA S. A. DE C. V. | 3 | - MXN | - | - | 2009 - 2011 |
| ANTUN Y MEJIA ASOCIADOS SA DE CV | 2 | 124,852.8 MXN | 16 % | 88.8 | 2016 - 2017 |
| COMERCIALIZADORA DE SOLUCIONES TECNOLOGICAS S.A. D | 2 | 962.3 MXN | 27.5 % | 0.805 | 2009 - 2009 |
| JLB-PRODUCTS SOFT & HARDWARE S DE RL DE MICROINDUS | 2 | 49,239.4 MXN | 60.2 % | 35.9 | 2009 - 2010 |
| MARIA DOLORES ORTIZ BARRON | 2 | 2,431.2 MXN | 47.7 % | 1.91 | 2009 - 2010 |
| MARTINEZ GUTIERREZ JUAN CARLOS | 2 | 946.7 MXN | 16.9 % | 0.676 | 2010 - 2010 |
| MEDINA PEREZ CLAUDIA MARIA | 2 | 72,144.4 MXN | 18.4 % | 60.3 | 2009 - 2010 |
| REPARACION Y SERVICIOS DE COMPUTO, S.A. DE C.V. | 2 | 149.7 MXN | 6.26 % | 0.125 | 2009 - 2009 |
| COMPUMARK, S.A. DE C.V | 1 | 114,139.3 MXN | 16.1 % | 77.2 | 2012 - 2012 |
| CORREA AYALA GEORGINA | 1 | 2,081.2 MXN | 12.4 % | 1.49 | 2010 - 2010 |
| CR TECNOLOGIA S.A. DE C.V. | 1 | 1,633.4 MXN | 68.3 % | 1.37 | 2009 - 2009 |
| ISRAEL ESTUDILLO ZAMORA | 1 | - MXN | - | - | 2009 - 2009 |
| MANUEL ALONSO CORPORACION, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| OLVERA PEDROZA CONCEPCION | 1 | - MXN | - | - | 2009 - 2009 |
| PROVINMED, S.A. DE C.V. | 1 | - MXN | - | - | 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=372.197.2986.00")
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=372.197.2986.00')
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=372.197.2986.00')