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Description
PARA IMPRESORA MARCA HEWLETT PACKARD MODELOS DESKJET D4260 PHOTOSMART C4240, C4250, C4280, C4285, C4345, C4380, C4385, C4440, C4450, C4480, C5240, C5250, C5280, D4360, D5345, D5360, C5580, OFFICEJET J5750, J5780,
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.5088.00
Each circle represents one of the 1 purchases of CARTUCHO DE TINTA made by the IMSS between 2013 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 1 | 1,057.9 MXN | 145.9 MXN | 16 % | 0.48 | 6 de mayo de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SURTIDORA ALEVI, S.A. DE C.V. | 1 | 145.9 MXN | 16 % | 0.48 | 2013 - 2013 |
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=372.197.5088.00")
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=372.197.5088.00')
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=372.197.5088.00')