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Description
PARA IMPRESORA MARCA KYOCERA MODELOS ECOSYS 9100 SERIES/9500, SERIES, NO DE PARTE TK-70, NEGRO
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.4032.00
Each circle represents one of the 1 purchases of CARTUCHO DE TONER made by the IMSS between 2009 and 2009.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 1 | 39,288.6 MXN | 5,124.6 MXN | 15 % | 1.8 | 8 de abril de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| M. A. CORPORACION DE MEXICO, S. A. DE C. V. | 1 | 5,124.6 MXN | 15 % | 1.8 | 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=372.197.4032.00")
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=372.197.4032.00')
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=372.197.4032.00')