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Description
MARCA HP BUSINNESS INKJET MODELO 1000 NO DE PARTE C4816A, COLOR MAGENTA
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.3521.00
Each circle represents one of the 2 purchases of CARTUCHO PARA IMPRESORA made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 407.4 MXN | 53.1 MXN | 15 % | 0.15 | 25 de junio de 2009 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 809.2 MXN | 80.2 MXN | 11 % | 0.22 | 14 de febrero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| AGUILAR MENDOZA IGNACIO DE JESUS | 1 | 80.2 MXN | 11 % | 0.22 | 2011 - 2011 |
| PACS COMPUTACION, S.A. DE C.V. | 1 | 53.1 MXN | 15 % | 0.15 | 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=372.197.3521.00")
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=372.197.3521.00')
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=372.197.3521.00')