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Description
PARA IMPRESORA MARCA HEWLETT PACKARD MODELOS HP OFFICEJET SERIE 6300, HP PHOTOSMART SERIES 2570, C4100, NUMERO DE PARTE HP 98 (C9364WL) NEGRO
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.4396.00
Each circle represents one of the 10 purchases of CARTUCHO DE TINTA made by the IMSS between 2009 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 5 | 64,620.8 MXN | 8,913.2 MXN | 24.6 % | 35 | 24 de abril de 2012 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 3 | 4,414.1 MXN | 595.4 MXN | 31 % | 1.86 | 10 de diciembre de 2009 |
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 2 | 3,785.8 MXN | 522.2 MXN | 16 % | 0.96 | 14 de septiembre de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ALVAREZ CAMPOS CARLOS RICARDO | 3 | 3,269.8 MXN | 30.7 % | 12.7 | 2010 - 2011 |
| OFFICE SUPPLIER DE MORELOS SA DE CV | 2 | 595.4 MXN | 46.5 % | 1.86 | 2009 - 2009 |
| ORDAZ CORONA MONICA LIZETH | 2 | 522.2 MXN | 16 % | 0.96 | 2016 - 2016 |
| M. A. CORPORACION DE MEXICO, S. A. DE C. V. | 1 | - MXN | - | - | 2009 - 2009 |
| REPARACION Y SERVICIOS DE COMPUTO, S.A. DE C.V. | 1 | 2,764.8 MXN | 16 % | 11.5 | 2012 - 2012 |
| SOLUCIONES Y SUMINISTROS JELINOVA S. A. DE C. V. | 1 | 2,878.6 MXN | 15.1 % | 10.9 | 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=372.197.4396.00")
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=372.197.4396.00')
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=372.197.4396.00')