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Description
MARCA HP MODELOS: BUSINESS INKJET 1000/1100/2200/2230/2250/2250 TN/2280/2300/2600/DN DESKJET 10PS/20PS/50PS/100/120 CP1700 DESIGNJET 100+/120NR OFFICEJET
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.3810.00
Each circle represents one of the 5 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 |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Almacen De Programas Especiales Y Red Fria | 2 | 3,683 MXN | 156.8 MXN | 8 % | 0.32 | 24 de abril de 2012 | |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 12,992 MXN | 1,792 MXN | 16 % | 3.2 | 15 de abril de 2010 |
| H. de Cardiología, Centro Médico Nacional Siglo XXI Umae Cardiologia C.m.n. Siglo Xxi | Ciudad de México | 1 | 3,288.6 MXN | 2,450.3 MXN | 292.3 % | 2.92 | 5 de octubre de 2011 |
| H. de Gineco Obstetricia, "Lic. Ignacio García Tellez", Centro Médico Nacional de Occidente, Jalisco Umae Gineco - Obstetricia Jalisco | Jalisco | 1 | 4,250.4 MXN | 554.4 MXN | 15 % | 1.5 | 2 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DELGADO HERNANDEZ GUSTAVO | 1 | 554.4 MXN | 15 % | 1.5 | 2009 - 2009 |
| GRUPO BAROLVHER, S.A. DE C.V. | 1 | - MXN | - | - | 2011 - 2011 |
| HERNANDEZ CALLEJAS ROSALINDA GUADALUPE | 1 | 2,450.3 MXN | 292.3 % | 2.92 | 2011 - 2011 |
| MARIA E BERUMEN PRECIADO | 1 | 1,792 MXN | 16 % | 3.2 | 2010 - 2010 |
| O FARRILL EQUIPO PARA OFICINAS, S.A. DE C.V. | 1 | 156.8 MXN | 16 % | 0.32 | 2012 - 2012 |
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=372.197.3810.00")
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=372.197.3810.00')
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=372.197.3810.00')