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Description
EPSON LQ-570
Classification
Material médico. Materiales diversos
IMSS product code
370.206.2237.00
Each circle represents one of the 3 purchases of CINTA PARA IMPRESORA made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Querétaro Almacen Delegacional En Queretaro | Querétaro | 3 | 2,861.7 MXN | 388.2 MXN | 14.4 % | 7.33 | 14 de enero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| NETSHELL SA. DE CV. | 2 | 113 MXN | 13.6 % | 2.85 | 2009 - 2009 |
| COMERCIALIZADORA DE SOLUCIONES TECNOLOGICAS S.A. D | 1 | 275.2 MXN | 16 % | 4.48 | 2010 - 2010 |
Entity type
Materiales diversos
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=370.206.2237.00")
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=370.206.2237.00')
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=370.206.2237.00')