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Description
MODELO HP 940XL PARA IMPRESORA MARCA HWEWLETT PACKARD MODELOS HP OFFICEJET SERIES PRO 8000 Y SERIES PRO 8500 ALLINONE NUMERO DE PARTE C4906A NEGRO
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.4537.00
Each circle represents one of the 16 purchases of CARTUCHO DE TINTA made by the IMSS between 2010 and 2016.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BOXCOM, S.A DE C.V. | 2 | 86.8 MXN | 4.13 % | 0.165 | 2014 - 2014 |
| COMERCIALIZADORA TONYCOM,S.A DE C.V | 2 | 284.3 MXN | 36.8 % | 0.8 | 2013 - 2013 |
| EDNA DIANA AVENDA?O ESQUIVEL | 2 | 202.1 MXN | 16 % | 0.32 | 2016 - 2016 |
| MARIA E BERUMEN PRECIADO | 2 | 1,256.2 MXN | 15.4 % | 2.12 | 2010 - 2012 |
| ARGUELLO LOPEZ MARIA INES | 1 | 327.6 MXN | 26.6 % | 0.532 | 2012 - 2012 |
| ATEC SURESTE, S,A. DE C.V. | 1 | 648.6 MXN | 105.3 % | 1.05 | 2012 - 2012 |
| COMERCIALIZADORA DEFENDER DE LA PENINSULA S. DE R. | 1 | 408.8 MXN | 77.9 % | 0.779 | 2014 - 2014 |
| JESUS HUMBERTO IRIBE BENITEZ | 1 | 213.9 MXN | 17.4 % | 0.347 | 2012 - 2012 |
| MEJIA GOMEZ MARCO ANTONIO | 1 | 307.2 MXN | 16 % | 0.96 | 2015 - 2015 |
| NELIDA ROCIO AGUILAR VILLAVICENCIO | 1 | - MXN | - | - | 2012 - 2012 |
| O FARRILL EQUIPO PARA OFICINAS, S.A. DE C.V. | 1 | 18.8 MXN | 3.05 % | 0.0305 | 2012 - 2012 |
| SOLUCIONES Y SUMINISTROS JELINOVA S. A. DE C. V. | 1 | 46.9 MXN | 9.45 % | 0.0945 | 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=372.197.4537.00")
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=372.197.4537.00')
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=372.197.4537.00')