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Description
OKIDATA MODELO C7300N/C7500N, NO DE PARTE 41963001
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.1707.00
Each circle represents one of the 8 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 |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Almacen De Programas Especiales Y Red Fria | 4 | 454,515.1 MXN | 62,169.7 MXN | 16.2 % | 24.9 | 24 de abril de 2012 | |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 2 | 9,879.5 MXN | - MXN | - | - | 25 de febrero de 2010 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 1 | 28,770.6 MXN | 7,105.3 MXN | 32.8 % | 2.95 | 9 de diciembre de 2010 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 20,326.3 MXN | 1,045.4 MXN | 5.42 % | 0.38 | 1 de julio de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SOURCE TONER DE MEXICO, S.A. DE C.V. | 2 | 45,134.7 MXN | 15.1 % | 18.7 | 2010 - 2010 |
| CORPORATIVO DE SOLUCIONES TECNOLOGICAS, S.A. DE C. | 1 | - MXN | - | - | 2010 - 2010 |
| GCOM, S.A. DE C.V. | 1 | 1,045.4 MXN | 5.42 % | 0.38 | 2009 - 2009 |
| O FARRILL EQUIPO PARA OFICINAS, S.A. DE C.V. | 1 | 1,353.6 MXN | 16 % | 0.48 | 2012 - 2012 |
| SOLUCIONES Y SUMINISTROS JELINOVA S. A. DE C. V. | 1 | - MXN | - | - | 2009 - 2009 |
| SURTIDORA ALEVI, S.A. DE C.V. | 1 | 7,105.3 MXN | 32.8 % | 2.95 | 2010 - 2010 |
| SURTIDORA ROLO, S.A. DE C.V. | 1 | 15,681.3 MXN | 18.4 % | 5.69 | 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=372.197.1707.00")
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=372.197.1707.00')
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=372.197.1707.00')