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Description
EPSON STYLUS MODELOS: C43/C43SX/C43UX/C45/CX1500 NoDE PARTE T039020, COLOR
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.1897.01
Each circle represents one of the 3 purchases of CARTUCHO PARA IMPRESORA made by the IMSS between 2009 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 2 | 3,391.6 MXN | 467.8 MXN | 15.1 % | 2.24 | 16 de agosto de 2012 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 1 | 2,566.8 MXN | 334.8 MXN | 15 % | 1.8 | 1 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| LIRA Y HERNANDEZ, S. A. DE C. V. | 2 | 467.8 MXN | 15.1 % | 2.24 | 2012 - 2012 |
| SOLUCIONES Y SUMINISTROS JELINOVA S. A. DE C. V. | 1 | 334.8 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=372.197.1897.01")
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=372.197.1897.01')
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=372.197.1897.01')