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Description
LASER PARA 10 MIL IMPRESIONES MARCA LEXMARK, MODELO OPTRA T 610N, PARTE 12A5840, NEGRO
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.0840.00
Each circle represents one of the 35 purchases of CARTUCHO PARA IMPRESORA made by the IMSS between 2009 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 12 | 218,320.7 MXN | 37,888.7 MXN | 74 % | 20.5 | 1 de enero de 2011 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 4 | 18,428.9 MXN | 8,437.3 MXN | 76.2 % | 6.61 | 13 de marzo de 2012 |
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 3 | 23,078.6 MXN | 4,620 MXN | 22.8 % | 2.16 | 17 de enero de 2011 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 3 | 58,449.3 MXN | 6,779.7 MXN | 7.94 % | 3.07 | 24 de febrero de 2011 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 3 | 7,444.9 MXN | 1,355.2 MXN | 19.6 % | 0.587 | 6 de agosto de 2009 |
| Delegación Colima Almacen Delegacional En Colima | Colima | 2 | 22,336.6 MXN | 7,827.2 MXN | 63.4 % | 4.09 | 1 de enero de 2010 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 2 | 14,291.2 MXN | 254.6 MXN | 2.3 % | 0.184 | 23 de febrero de 2012 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 2 | 37,681 MXN | 16,109.4 MXN | 57.3 % | 9.17 | 1 de enero de 2010 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 7,707.9 MXN | 682.6 MXN | 9.72 % | 0.389 | 1 de marzo de 2010 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 3,015 MXN | 704.9 MXN | 30.5 % | 0.305 | 3 de marzo de 2009 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 37,605 MXN | - MXN | - | - | 1 de enero de 2009 |
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 1 | 3,542.8 MXN | - MXN | - | - | 17 de diciembre de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| JESUS HUMBERTO IRIBE BENITEZ | 9 | 24,652.2 MXN | 89.4 % | 11.4 | 2009 - 2010 |
| TCA EMPRESARIAL, S.A. DE C.V. | 4 | 23,936.6 MXN | 60.3 % | 13.3 | 2009 - 2010 |
| JLB-PRODUCTS SOFT & HARDWARE S DE RL DE MICROINDUS | 3 | 2,060 MXN | 29.7 % | 0.892 | 2009 - 2009 |
| MANUEL ALONSO CORPORACION, S.A. DE C.V. | 3 | 682.6 MXN | 3.24 % | 0.389 | 2009 - 2010 |
| SOURCE TONER DE MEXICO, S.A. DE C.V. | 3 | - MXN | - | - | 2009 - 2009 |
| CORREA AYALA GEORGINA | 2 | 3,993.6 MXN | 83.3 % | 2.46 | 2010 - 2011 |
| OLIVARES MALDONADO MA. INES | 2 | 4,698.2 MXN | 71.5 % | 4.33 | 2011 - 2012 |
| TELECOMUNICACION CORPORATIVA, S.A. DE C.V. | 2 | 11,707.9 MXN | 8.45 % | 8.45 | 2010 - 2011 |
| ANUNCIOS, IMPRESIONES Y SOLUCIONES S.A. DE C.V. | 1 | 540.6 MXN | 39 % | 0.39 | 2011 - 2011 |
| CABRERA PENILLA GERARDO | 1 | 481.3 MXN | 4.34 % | 0.347 | 2011 - 2011 |
| COMERCIAL TOACHE, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| MEDINA PEREZ CLAUDIA MARIA | 1 | 6,298.5 MXN | 19.5 % | 2.73 | 2009 - 2009 |
| SANTOS RIOS JOSE GUADALUPE | 1 | 1,528.6 MXN | 66.2 % | 0.662 | 2009 - 2009 |
| SOLUCIONES Y SUMINISTROS JELINOVA S. A. DE C. V. | 1 | 4,079.4 MXN | 29.4 % | 1.77 | 2009 - 2009 |
| TOP TONER, S.A. DE C.V. | 1 | - MXN | - | - | 2012 - 2012 |
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=372.197.0840.00")
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=372.197.0840.00')
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=372.197.0840.00')