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Description
HP COLOR LASERJET IMAGING DRUM PARTE Q3964A COLOR FIJADOR
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.3364.00
Each circle represents one of the 6 purchases of TONER PARA IMPRESORA made by the IMSS between 2010 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 2 | 5,490 MXN | 1,473.8 MXN | 19.5 % | 1.56 | 17 de noviembre de 2015 |
| H. de Oncología, Centro Médico Nacional Siglo XXI Umae Oncologia C.m.n. Siglo Xxi | Ciudad de México | 2 | 41,187.8 MXN | 5,681.1 MXN | 16 % | 2.24 | 1 de enero de 2013 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 1 | 6,029.4 MXN | 1,086.8 MXN | 22 % | 0.44 | 25 de abril de 2012 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. | Veracruz | 1 | 2,570.8 MXN | - MXN | - | - | 2 de abril de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ALEJANDRO OMAR DIEGUEZ PEREZ | 2 | 1,473.8 MXN | 19.5 % | 1.56 | 2015 - 2015 |
| GRUPO EMPRESARIAL EPOCA, S. A. DE C. V. | 1 | 1,086.8 MXN | 22 % | 0.44 | 2012 - 2012 |
| OFIX, S. A. DE C. V. | 1 | - MXN | - | - | 2012 - 2012 |
| SACOMER INTERNACIONAL S.A. DE C.V. | 1 | 4,823.5 MXN | 16 % | 1.92 | 2013 - 2013 |
| SOLUCIONES Y SUMINISTROS JELINOVA S. A. DE C. V. | 1 | 857.6 MXN | 16 % | 0.32 | 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=372.197.3364.00")
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=372.197.3364.00')
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=372.197.3364.00')