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Description
EPSON STYLUS COLOR 860
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.2812.00
Each circle represents one of the 10 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 |
|---|---|---|---|---|---|---|---|
| H. de Cardiología, Centro Médico Nacional Siglo XXI Umae Cardiologia C.m.n. Siglo Xxi | Ciudad de México | 9 | 19,788.1 MXN | 2,822 MXN | 21.3 % | 7.49 | 8 de mayo de 2012 |
| Delegación Michoacán | Michoacán | 1 | 406 MXN | 37.6 MXN | 10.2 % | 0.118 | 11 de agosto de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIALIZADORA GLAVS, S.A. DE C.V. | 1 | 314.9 MXN | 11.8 % | 1.18 | 2011 - 2011 |
| CORP & SMB TECH, SA DE CV | 1 | 156.4 MXN | 58.4 % | 0.584 | 2011 - 2011 |
| DEVIANA GARCIA JAZMIN | 1 | 81.5 MXN | 9.19 % | 0.184 | 2009 - 2009 |
| GARCIA COAPIO FERNANDO MARCOS | 1 | 176.8 MXN | 27.8 % | 0.557 | 2010 - 2010 |
| GRUPO ABASTECEDOR DEL NORTE, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| HERNANDEZ CALLEJAS ROSALINDA GUADALUPE | 1 | 1,657.5 MXN | 16 % | 3.84 | 2012 - 2012 |
| Proveedor local no identificado (Compra Emergente) | 1 | 37.6 MXN | 10.2 % | 0.118 | 2010 - 2010 |
| PROVEEDORA MEDICA CELMAG, S.A. DE C.V. | 1 | 102.8 MXN | 23.2 % | 0.232 | 2009 - 2009 |
| REPARACION Y SERVICIOS DE COMPUTO, S.A. DE C.V. | 1 | 148.2 MXN | 16.7 % | 0.334 | 2009 - 2009 |
| SOLUCIONES Y SUMINISTROS JELINOVA S. A. DE C. V. | 1 | 183.8 MXN | 28.9 % | 0.579 | 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=372.197.2812.00")
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=372.197.2812.00')
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=372.197.2812.00')