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Description
MARCA HP MODELO DESKJET 640C, No DE PARTE 51649, COLOR
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.1509.01
Each circle represents one of the 6 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 |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 4 | 53,194.2 MXN | 6,754.6 MXN | 11.9 % | 17.1 | 1 de enero de 2012 |
| Delegación Michoacán | Michoacán | 1 | 290 MXN | - MXN | - | - | 28 de mayo de 2010 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 2,879.7 MXN | 2,148 MXN | 293.6 % | 11.7 | 24 de abril de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ANUNCIOS, IMPRESIONES Y SOLUCIONES S.A. DE C.V. | 1 | - MXN | - | - | 2012 - 2012 |
| JLB-PRODUCTS SOFT & HARDWARE S DE RL DE MICROINDUS | 1 | 1,888.5 MXN | 16 % | 4.64 | 2011 - 2011 |
| Proveedor local no identificado (Compra Emergente) | 1 | - MXN | - | - | 2010 - 2010 |
| PROVEEDORA DE PAPELES Y CONSUMIBLES, S. DE R. L. | 1 | 4,222.9 MXN | 16.8 % | 10.1 | 2010 - 2010 |
| REPARACION Y SERVICIOS DE COMPUTO, S.A. DE C.V. | 1 | 2,148 MXN | 293.6 % | 11.7 | 2012 - 2012 |
| SOLUCIONES Y SUMINISTROS JELINOVA S. A. DE C. V. | 1 | 643.2 MXN | 15 % | 2.4 | 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=372.197.1509.01")
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=372.197.1509.01')
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=372.197.1509.01')