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Description
PARA IMPRESORA MARCA LEXMARK MODELOS E250, E350 Y E352, NUMERO DE PARTE E250A11L
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.4974.00
Each circle represents one of the 5 purchases of CARTUCHO DE TONER made by the IMSS between 2011 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 2 | 47,607.6 MXN | 2,801.7 MXN | 6.76 % | 1.62 | 1 de enero de 2012 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 33,524 MXN | 11,932.3 MXN | 55.3 % | 5.53 | 6 de diciembre de 2011 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 1,457.7 MXN | 201.1 MXN | 16 % | 0.32 | 27 de febrero de 2014 |
| Oficinas Centrales Almacen De Programas Especiales Y Red Fria | 1 | 2,517.2 MXN | 790.3 MXN | 45.8 % | 0.458 | 24 de abril de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| TCA EMPRESARIAL, S.A. DE C.V. | 2 | 2,801.7 MXN | 6.76 % | 1.62 | 2011 - 2012 |
| ANUNCIOS, IMPRESIONES Y SOLUCIONES S.A. DE C.V. | 1 | 201.1 MXN | 16 % | 0.32 | 2014 - 2014 |
| O FARRILL EQUIPO PARA OFICINAS, S.A. DE C.V. | 1 | 790.3 MXN | 45.8 % | 0.458 | 2012 - 2012 |
| RAMIREZ RAMOS GERMAN | 1 | 11,932.3 MXN | 55.3 % | 5.53 | 2011 - 2011 |
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=372.197.4974.00")
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=372.197.4974.00')
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=372.197.4974.00')