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Description
NEGRA NO 45 PARA IMPRESORA: HP MODELO 930 C
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.3158.00
Each circle represents one of the 2 purchases of CARTUCHO DE TINTA made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 969.5 MXN | 133.7 MXN | 16 % | 0.32 | 15 de julio de 2010 |
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 1 | 979.8 MXN | 127.8 MXN | 15 % | 0.3 | 23 de septiembre de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIALIZADORA TONYCOM,S.A DE C.V | 1 | 127.8 MXN | 15 % | 0.3 | 2009 - 2009 |
| SACOMER INTERNACIONAL S.A. DE C.V. | 1 | 133.7 MXN | 16 % | 0.32 | 2010 - 2010 |
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=372.197.3158.00")
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=372.197.3158.00')
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=372.197.3158.00')