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Description
PARA IMPRESORA MARCA HEWLETT PACKARD MODELOS DESIGNJET 10PS 20PS, 50PS, 30, 90, 120 Y 130 NUMERO DE PARTE HP 84 (C5106A) NEGRO
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.5302.00
Each circle represents one of the 2 purchases of CARTUCHO DE TINTA made by the IMSS between 2011 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 | 2 | 4,321 MXN | 596 MXN | 16 % | 1.12 | 24 de abril de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GRUPO BAROLVHER, S.A. DE C.V. | 1 | 399.2 MXN | 16 % | 0.8 | 2011 - 2011 |
| O FARRILL EQUIPO PARA OFICINAS, S.A. DE C.V. | 1 | 196.8 MXN | 16 % | 0.32 | 2012 - 2012 |
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=372.197.5302.00")
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=372.197.5302.00')
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=372.197.5302.00')