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Description
EPSON STYLUS MODELO C80, COLOR MAGENTA NO DE PARTE T0323
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.2291.00
Each circle represents one of the 6 purchases of CARTUCHO PARA IMPRESORA made by the IMSS between 2009 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Querétaro Almacen Delegacional En Queretaro | Querétaro | 2 | 4,329.2 MXN | 591.6 MXN | 14.4 % | 3.01 | 9 de junio de 2009 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 2 | 1,437.2 MXN | 248.4 MXN | 16.7 % | 1 | 11 de diciembre de 2014 |
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 1 | 874 MXN | 87.1 MXN | 11.1 % | 0.443 | 21 de diciembre de 2009 |
| H. de Oncología, Centro Médico Nacional Siglo XXI Umae Oncologia C.m.n. Siglo Xxi | Ciudad de México | 1 | 403.7 MXN | 55.7 MXN | 16 % | 0.32 | 8 de marzo de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEDICA AVANZADA, S. A. DE C. V. | 2 | 248.4 MXN | 16.7 % | 1 | 2014 - 2014 |
| NETSHELL SA. DE CV. | 2 | 591.6 MXN | 14.4 % | 3.01 | 2009 - 2009 |
| BAZAN SANTIAGO LORENZO | 1 | 87.1 MXN | 11.1 % | 0.443 | 2009 - 2009 |
| SOLUCIONES Y SUMINISTROS JELINOVA S. A. DE C. V. | 1 | 55.7 MXN | 16 % | 0.32 | 2011 - 2011 |
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=372.197.2291.00")
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=372.197.2291.00')
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=372.197.2291.00')