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Description
PARA ENCUADERNAR DE 0.47 CM (3/16"DE DIAMETRO), VARIOS COLORES CON 38 AROS, (GUSANO LOMO)
Classification
Artículos de consumo. Utiles de oficina
IMSS product code
312.092.0024.00
Each circle represents one of the 3 purchases of ARILLO DE PLASTICO made by the IMSS between 2009 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 1 | 161.1 MXN | 22.2 MXN | 16 % | 9.92 | 23 de diciembre de 2013 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 75.9 MXN | 9.9 MXN | 15 % | 4.95 | 1 de abril de 2009 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 53.4 MXN | 7.36 MXN | 16 % | 3.2 | 27 de abril de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DISTRIBUIDORA PAPELERA JARDINES, S.A. DE C.V. | 1 | 9.9 MXN | 15 % | 4.95 | 2009 - 2009 |
| R&M ROSCO MEXICO, S. A. DE C. V. | 1 | 22.2 MXN | 16 % | 9.92 | 2013 - 2013 |
| SANTOS RIOS JOSE GUADALUPE | 1 | 7.36 MXN | 16 % | 3.2 | 2011 - 2011 |
Entity type
Utiles de oficina
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=312.092.0024.00")
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=312.092.0024.00')
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=312.092.0024.00')