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Description
MARCA EPSON, MODELOS LQ500, LQ510, LQ550, LQ570, LQ800, LQ850, LQ870
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.198.0559.00
Each circle represents one of the 2 purchases of CINTA PARA IMPRESORA made by the IMSS between 2009 and 2011.
| 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 | 2 | 3,296.2 MXN | 440.2 MXN | 15.5 % | 9.12 | 3 de febrero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| LIRA Y HERNANDEZ, S. A. DE C. V. | 1 | 188.2 MXN | 16 % | 1.92 | 2011 - 2011 |
| M. A. CORPORACION DE MEXICO, S. A. DE C. V. | 1 | 252 MXN | 15 % | 7.2 | 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=372.198.0559.00")
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=372.198.0559.00')
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=372.198.0559.00')