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Description
LEXMARK 12A1970
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.2374.00
Each circle represents one of the 7 purchases of CARTUCHO 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 Yucatán Almacen Delegacional En Yucatan | Yucatán | 3 | 41,437.5 MXN | 4,577.4 MXN | 12.8 % | 11.5 | 31 de enero de 2011 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 3 | 5,860.9 MXN | 1,317.7 MXN | 29.5 % | 2.86 | 18 de noviembre de 2010 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 1 | 1,705.2 MXN | 759.2 MXN | 80.3 % | 1.61 | 8 de abril de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SOURCE TONER DE MEXICO, S.A. DE C.V. | 2 | 2,772.6 MXN | 11.2 % | 6.74 | 2009 - 2010 |
| BAZAN SANTIAGO LORENZO | 1 | 137.6 MXN | 18.1 % | 0.362 | 2009 - 2009 |
| COMERCIALIZADORA LUIV, S. A. DE C. V. | 1 | 408.9 MXN | 43.2 % | 0.865 | 2010 - 2010 |
| GRUPO DE EJECUTIVOS DEL BAJIO, SA DE CV | 1 | 771.2 MXN | 27.2 % | 1.63 | 2010 - 2010 |
| SOLUCIONES Y SUMINISTROS JELINOVA S. A. DE C. V. | 1 | 1,804.8 MXN | 16 % | 4.8 | 2011 - 2011 |
| TCA EMPRESARIAL, S.A. DE C.V. | 1 | 759.2 MXN | 80.3 % | 1.61 | 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=372.197.2374.00")
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=372.197.2374.00')
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=372.197.2374.00')