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Description
(MARCA OLIVETTI MODELO ET-2500), DE POLIETILENO, COLOR NEGRO, CARBON CORREGIBLE
Classification
Artículos de consumo. Utiles de oficina
IMSS product code
312.205.1877.01
Each circle represents one of the 2 purchases of CINTA PARA MAQUINA DE ESCRIBIR ELECTRICA made by the IMSS between 2009 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 2 | 483.2 MXN | 66.1 MXN | 15.5 % | 3.08 | 1 de enero de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ANUNCIOS, IMPRESIONES Y SOLUCIONES S.A. DE C.V. | 1 | 57.1 MXN | 16 % | 1.28 | 2012 - 2012 |
| DEPORTES Y REGALOS SAMAR, S. A. DE C. V. | 1 | 9.02 MXN | 15 % | 1.8 | 2009 - 2009 |
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=312.205.1877.01")
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=312.205.1877.01')
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=312.205.1877.01')