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Description
PARA IMPRESORA EPSON STYLUS PHOTO R200 COLOR LIGHT CYAN, NO DE PARTE T048520
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.3042.00
Each circle represents one of the 14 purchases of CARTUCHO DE TINTA 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 | 21,653.2 MXN | 5,030.2 MXN | 49.4 % | 41.9 | 1 de enero de 2017 |
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 4 | 3,779.4 MXN | 14.3 MXN | 0.938 % | 0.075 | 8 de enero de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ANUNCIOS, IMPRESIONES Y SOLUCIONES S.A. DE C.V. | 3 | - MXN | - | - | 2012 - 2014 |
| COMERCIALIZADORA TONYCOM,S.A DE C.V | 3 | 1,546.2 MXN | 54.6 % | 15.5 | 2014 - 2016 |
| SOLUCIONES Y SUMINISTROS JELINOVA S. A. DE C. V. | 3 | 1,115.4 MXN | 21.6 % | 8.45 | 2010 - 2011 |
| GRUPO EMPRESARIAL EPOCA, S. A. DE C. V. | 1 | 193.3 MXN | 130.5 % | 2.61 | 2014 - 2014 |
| LIRA Y HERNANDEZ, S. A. DE C. V. | 1 | 670.3 MXN | 16 % | 2.4 | 2017 - 2017 |
| LOPEZ CABRERA KARINA | 1 | 1,318.9 MXN | 99 % | 11.9 | 2013 - 2013 |
| RORVI INTERNACIONAL, S. A. DE C. V. | 1 | 14.3 MXN | 3.75 % | 0.075 | 2009 - 2009 |
| SURTIDORA ALEVI, S.A. DE C.V. | 1 | 186 MXN | 19.5 % | 0.975 | 2009 - 2009 |
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=372.197.3042.00")
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=372.197.3042.00')
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=372.197.3042.00')