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Description
HP COLOR LASERJET PRINT CARTRIDGE NO DE PARTE Q3971A COLOR AZUL
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.3372.00
Each circle represents one of the 5 purchases of TONER PARA IMPRESORA made by the IMSS between 2011 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 2 | 2,335 MXN | 389.7 MXN | 12.1 % | 0.968 | 17 de noviembre de 2015 |
| H. de Cardiología, Centro Médico Nacional Siglo XXI Umae Cardiologia C.m.n. Siglo Xxi | Ciudad de México | 1 | 1,229.6 MXN | 169.6 MXN | 16 % | 0.16 | 25 de febrero de 2011 |
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 1 | 2,207.3 MXN | 304.5 MXN | 16 % | 0.16 | 24 de septiembre de 2016 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 1 | 1,232.3 MXN | 170 MXN | 16 % | 0.16 | 6 de marzo de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ALEJANDRO OMAR DIEGUEZ PEREZ | 2 | 389.7 MXN | 12.1 % | 0.968 | 2015 - 2015 |
| COMERCIALIZADORA LUIV, S. A. DE C. V. | 1 | 170 MXN | 16 % | 0.16 | 2012 - 2012 |
| HERNANDEZ CALLEJAS ROSALINDA GUADALUPE | 1 | 169.6 MXN | 16 % | 0.16 | 2011 - 2011 |
| LEON LIMON ANGELICA | 1 | 304.5 MXN | 16 % | 0.16 | 2016 - 2016 |
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=372.197.3372.00")
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=372.197.3372.00')
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=372.197.3372.00')