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Description
LASER MARCA LEXMARK, MODELO OPTRA K1220, PARTE 11A4097, NEGRO
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.0485.00
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 Tabasco Almacen Delegacional En Tabasco | Tabasco | 2 | 100,850.4 MXN | 13,910.4 MXN | 16 % | 5.44 | 17 de febrero de 2012 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 2,780.1 MXN | 362.6 MXN | 15 % | 0.3 | 17 de junio de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ALVAREZ CAMPOS CARLOS RICARDO | 1 | 362.6 MXN | 15 % | 0.3 | 2009 - 2009 |
| GARCIA GOMEZ FILIBERTO | 1 | 1,648 MXN | 16 % | 0.32 | 2012 - 2012 |
| TCA EMPRESARIAL, S.A. DE C.V. | 1 | 12,262.4 MXN | 16 % | 5.12 | 2010 - 2010 |
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=372.197.0485.00")
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=372.197.0485.00')
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=372.197.0485.00')