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Description
LEXMARK MODELO Z13, Z23, Z33, Z25, Z35/X75, No DE PARTE 10N0026, COLOR
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.1517.01
Each circle represents one of the 29 purchases of CARTUCHO PARA IMPRESORA made by the IMSS between 2009 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Campeche Almacen Delegacional En Campeche | Campeche | 8 | 31,615.2 MXN | 9,397.4 MXN | 44.5 % | 23.5 | 6 de abril de 2011 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 6 | 234,532.6 MXN | 30,203.3 MXN | 15.5 % | 65.7 | 31 de enero de 2014 |
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 3 | 21,823.8 MXN | 5,784.6 MXN | 42 % | 15.9 | 24 de mayo de 2012 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 3 | 3,659.3 MXN | 365.5 MXN | 24 % | 0.721 | 30 de abril de 2012 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 2 | 6,603.9 MXN | 1,378.6 MXN | 20.6 % | 3.39 | 1 de enero de 2010 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 2 | 7,207.1 MXN | 1,632.3 MXN | 27.9 % | 3.22 | 16 de agosto de 2012 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 2 | 34,475.2 MXN | 1,159.9 MXN | 3.53 % | 2.82 | 31 de enero de 2011 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 368 MXN | 13.9 MXN | 3.92 % | 0.0392 | 16 de julio de 2009 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 2,401.2 MXN | - MXN | - | - | 26 de abril de 2010 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 1 | 915.4 MXN | 207.2 MXN | 29.3 % | 0.585 | 1 de julio de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CR TECNOLOGIA S.A. DE C.V. | 4 | 876.9 MXN | 35.6 % | 2.14 | 2010 - 2010 |
| JLB-PRODUCTS SOFT & HARDWARE S DE RL DE MICROINDUS | 4 | 23,135.1 MXN | 15.3 % | 51.6 | 2009 - 2012 |
| SOURCE TONER DE MEXICO, S.A. DE C.V. | 3 | 8,451.2 MXN | 25.4 % | 23.4 | 2009 - 2010 |
| ADERHELS CLUB, S. A. DE C. V. | 2 | 1,632.3 MXN | 27.9 % | 3.22 | 2012 - 2012 |
| SOLUCIONES Y SUMINISTROS JELINOVA S. A. DE C. V. | 2 | 89.9 MXN | 6.34 % | 0.254 | 2009 - 2011 |
| ALPHA DIGITAL S.A. DE C.V, | 1 | 361 MXN | 20.8 % | 0.83 | 2011 - 2011 |
| BAZAN SANTIAGO LORENZO | 1 | 1,046.9 MXN | 59.1 % | 2.96 | 2009 - 2009 |
| GARCIA COAPIO FERNANDO MARCOS | 1 | - MXN | - | - | 2010 - 2010 |
| GRUPO PALIBA S.A. DE C.V. | 1 | 5,109.8 MXN | 16 % | 10.2 | 2013 - 2013 |
| LAURA PATRICIA HERNANDEZ CERDA | 1 | 13.9 MXN | 3.92 % | 0.0392 | 2009 - 2009 |
| M. A. CORPORACION DE MEXICO, S. A. DE C. V. | 1 | 207.2 MXN | 29.3 % | 0.585 | 2009 - 2009 |
| MANUEL ALONSO CORPORACION, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| MEDINA PEREZ CLAUDIA MARIA | 1 | 4,204.3 MXN | 48.4 % | 9.67 | 2011 - 2011 |
| MEJIA GOMEZ MARCO ANTONIO | 1 | 365.5 MXN | 72.1 % | 0.721 | 2012 - 2012 |
| PINO RAMIREZ VICTOR HUGO | 1 | 889.5 MXN | 108.3 % | 2.17 | 2010 - 2010 |
| PROVEEDORA DE PAPELES Y CONSUMIBLES, S. DE R. L. | 1 | - MXN | - | - | 2009 - 2009 |
| R&M ROSCO MEXICO, S. A. DE C. V. | 1 | 511.9 MXN | 33.7 % | 1.01 | 2012 - 2012 |
| SACOMER INTERNACIONAL S.A. DE C.V. | 1 | 1,958.4 MXN | 16 % | 3.84 | 2014 - 2014 |
| TCA EMPRESARIAL, S.A. DE C.V. | 1 | 1,288.7 MXN | 28.5 % | 3.14 | 2010 - 2010 |
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=372.197.1517.01")
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=372.197.1517.01')
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=372.197.1517.01')