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Description
DE USO INDUSTRIAL 10 KGS
Classification
Artículos de consumo. Articulos de aseo
IMSS product code
350.316.0107.01
Each circle represents one of the 7 purchases of DETERGENTE EN POLVO made by the IMSS between 2009 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Jalisco | Jalisco | 6 | 3,476.5 MXN | 0.000000000000455 MXN | 0.0000000000000132 % | 0.00000000000000276 | 12 de marzo de 2012 |
| Delegación Baja California | Baja California | 1 | 8,366 MXN | - MXN | - | - | 4 de diciembre de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MONTES GUILLEN JUAN GABRIEL | 6 | 0.000000000000455 MXN | 0.0000000000000132 % | 0.00000000000000276 | 2011 - 2012 |
| MARIA ELENA MORA PEREA | 1 | - MXN | - | - | 2009 - 2009 |
Entity type
Articulos de aseo
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=350.316.0107.01")
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=350.316.0107.01')
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=350.316.0107.01')