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Description
MARCA SAMSUNG MODELOS ML-1910, ML-1915, ML-2525, ML-2580, SCX-4600, SCX-4623, SF-650, SF-650P, NUMERO DE PARTE MLTD105L NEGRO, DE ALTO RENDIMIENTO
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.5369.00
Each circle represents one of the 12 purchases of TONER PARA IMPRESORA made by the IMSS between 2011 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 5 | 1.1 millones MXN | 202,788.8 MXN | 20.6 % | 156 | 27 de mayo de 2014 |
| H. de Especialidades No. 1, "Lic. Ignacio García Tellez" Mérida, Yucatán. Umae Especialidades Yucatan | Yucatán | 4 | 82,922.4 MXN | - MXN | - | - | 10 de abril de 2014 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 3 | 16,467.7 MXN | 3,075.5 MXN | 26.3 % | 2.53 | 7 de mayo de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIALIZADORA DEFENDER DE LA PENINSULA S. DE R. | 3 | - MXN | - | - | 2013 - 2014 |
| COMERCIALIZADORA LUIV, S. A. DE C. V. | 3 | 3,075.5 MXN | 26.3 % | 2.53 | 2012 - 2013 |
| ATEC SURESTE, S,A. DE C.V. | 2 | 5,534.9 MXN | 8 % | 5.44 | 2011 - 2012 |
| CIBERTONER, S. DE R.L. DE C.V. | 1 | 86,697.8 MXN | 24.2 % | 58 | 2014 - 2014 |
| MEDINA PEREZ CLAUDIA MARIA | 1 | 29,305.8 MXN | 19.5 % | 25.4 | 2012 - 2012 |
| TCA EMPRESARIAL, S.A. DE C.V. | 1 | 35,166.9 MXN | 19.5 % | 30.4 | 2012 - 2012 |
| VALMAR DIGITALMICRO, S.A. DE C.V. | 1 | 46,083.3 MXN | 23.6 % | 36.8 | 2013 - 2013 |
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=372.197.5369.00")
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=372.197.5369.00')
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=372.197.5369.00')