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Description
EPSON MODELOS: STYLUS PHOTO R300/R300M/R200/R220/R320/R340/RX500 NoDE PARTE T048120, NEGRO
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.3000.01
Each circle represents one of the 11 purchases of CARTUCHO PARA IMPRESORA made by the IMSS between 2009 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Oncología, Centro Médico Nacional Siglo XXI Umae Oncologia C.m.n. Siglo Xxi | Ciudad de México | 10 | 49,646.1 MXN | 8,343.1 MXN | 37.6 % | 46 | 1 de enero de 2017 |
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 1 | 2,150.6 MXN | - MXN | - | - | 8 de enero de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SOLUCIONES Y SUMINISTROS JELINOVA S. A. DE C. V. | 4 | 2,489.5 MXN | 15.7 % | 11.6 | 2009 - 2011 |
| COMERCIALIZADORA TONYCOM,S.A DE C.V | 3 | 3,001.6 MXN | 38.6 % | 22.4 | 2014 - 2016 |
| ANUNCIOS, IMPRESIONES Y SOLUCIONES S.A. DE C.V. | 1 | - MXN | - | - | 2014 - 2014 |
| GRUPO EMPRESARIAL EPOCA, S. A. DE C. V. | 1 | 461.8 MXN | 164.9 % | 4.95 | 2014 - 2014 |
| LIRA Y HERNANDEZ, S. A. DE C. V. | 1 | 1,315.1 MXN | 16 % | 3.2 | 2017 - 2017 |
| LOPEZ CABRERA KARINA | 1 | 1,075.2 MXN | 16 % | 3.84 | 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=372.197.3000.01")
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=372.197.3000.01')
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=372.197.3000.01')