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Description
EPSON FX-2190 NO DE PARTE SO15335
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.198.0971.00
Each circle represents one of the 18 purchases of CINTA 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 Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 11 | 52,971.3 MXN | 14,466.6 MXN | 137.7 % | 68.7 | 22 de julio de 2014 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 4 | 22,712 MXN | 618.4 MXN | 4 % | 7.68 | 28 de noviembre de 2011 |
| Delegación Querétaro Almacen Delegacional En Queretaro | Querétaro | 2 | 20,498.6 MXN | 13,523.8 MXN | 190.3 % | 73.7 | 9 de junio de 2009 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 10,774.1 MXN | 5,150.5 MXN | 91.6 % | 22 | 28 de septiembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SANTOS RIOS JOSE GUADALUPE | 8 | 9,131.4 MXN | 182.8 % | 53.8 | 2010 - 2011 |
| ANUNCIOS, IMPRESIONES Y SOLUCIONES S.A. DE C.V. | 2 | 618.4 MXN | 8 % | 7.68 | 2010 - 2011 |
| JESUS HUMBERTO IRIBE BENITEZ | 2 | 4,136.3 MXN | 20.7 % | 11.5 | 2013 - 2014 |
| MANUEL ALONSO CORPORACION, S.A. DE C.V. | 2 | - MXN | - | - | 2009 - 2010 |
| NETSHELL SA. DE CV. | 2 | 13,523.8 MXN | 190.3 % | 73.7 | 2009 - 2009 |
| ACCECOMPU, S.A. DE C.V. | 1 | 5,150.5 MXN | 91.6 % | 22 | 2011 - 2011 |
| PROVEEDORA PAPELERA KINO S.A. DE C.V. | 1 | 1,198.9 MXN | 11.3 % | 3.4 | 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=372.198.0971.00")
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=372.198.0971.00')
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=372.198.0971.00')