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Description
DE BAJA DENSIDAD DE 110 X 1.20 M Y0.038 MM DE ESPESOR PESO DE91.2 G, COLOR VERDE AGUA TRASLUCIDO, PARA CARRO COLECTOR DE BASURA
Classification
Artículos de consumo. Articulos de aseo
IMSS product code
350.119.0056.01
Each circle represents one of the 3 purchases of BOLSA DE POLIETILENO made by the IMSS between 2009 and 2009.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Nayarit | Nayarit | 2 | 3,519 MXN | 2,395.3 MXN | 213.2 % | 9.81 | 24 de septiembre de 2009 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 1.2 millones MXN | 155,021.8 MXN | 14.8 % | 634.6 | 1 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GYAPHARMA S.A. DE C.V | 2 | 2,395.3 MXN | 213.2 % | 9.81 | 2009 - 2009 |
| CYO CHEMICAL, S. A. DE C. V. | 1 | 155,021.8 MXN | 14.8 % | 634.6 | 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=350.119.0056.01")
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=350.119.0056.01')
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=350.119.0056.01')