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Description
HP 51606A PAINTJET
Classification
Material médico. Materiales diversos
IMSS product code
370.206.1593.00
Each circle represents one of the 3 purchases of CARTUCHO PARA IMPRESORA made by the IMSS between 2011 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 2 | 1,558.2 MXN | 214.9 MXN | 16 % | 0.32 | 5 de julio de 2013 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 8,291.7 MXN | 821.7 MXN | 11 % | 0.55 | 4 de febrero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MARIA E BERUMEN PRECIADO | 2 | 214.9 MXN | 16 % | 0.32 | 2013 - 2013 |
| MAX COMPUTERS, S.A. DE C.V. | 1 | 821.7 MXN | 11 % | 0.55 | 2011 - 2011 |
Entity type
Materiales diversos
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=370.206.1593.00")
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=370.206.1593.00')
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=370.206.1593.00')