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Description
DE VINIL BLANCO DE 3 ARGOLLAS TAMAÑO CARTA DE 1 PULGADA.
Classification
Artículos de consumo. Papeleria
IMSS product code
311.182.1496.00
Each circle represents one of the 2 purchases of CARPETA PANORAMICA made by the IMSS between 2012 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Campeche Almacen Delegacional En Campeche | Campeche | 1 | 4,070.6 MXN | 561.5 MXN | 16 % | 25.4 | 8 de mayo de 2013 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 665.6 MXN | 91.8 MXN | 16 % | 4.16 | 27 de agosto de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIALIZADORA DAMAG, S.A. DE C.V. | 2 | 653.3 MXN | 16 % | 29.6 | 2012 - 2013 |
Entity type
Papeleria
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=311.182.1496.00")
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=311.182.1496.00')
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=311.182.1496.00')