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Description
MARCA CANON, MODELOS BJC2000/4000/5500, MULTIPASS 3000C2500 SERIE C5000 Y CFXB38-01F, PARTE BC-20, COLOR NEGRO
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.0949.00
Each circle represents one of the 2 purchases of CARTUCHO PARA IMPRESORA made by the IMSS between 2009 and 2009.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 2 | 498 MXN | 251.6 MXN | 58.1 % | 1.16 | 27 de agosto de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MANUEL ALONSO CORPORACION, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| PROVEEDORA DE PAPELES Y CONSUMIBLES, S. DE R. L. | 1 | 251.6 MXN | 116.2 % | 1.16 | 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=372.197.0949.00")
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=372.197.0949.00')
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=372.197.0949.00')