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Description
OLIVETTI ET-1250 MD SLIMCART LIFT OFF
Classification
Artículos de consumo. Utiles de oficina
IMSS product code
312.205.0234.00
Each circle represents one of the 2 purchases of CINTA CORRECTORA PARA MAQUINA DE ESCRIBIR made by the IMSS between 2010 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Campeche Almacen Delegacional En Campeche | Campeche | 1 | 5,985.6 MXN | 825.6 MXN | 16 % | 1.28 | 6 de junio de 2011 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 65 MXN | 8.96 MXN | 16 % | 0.32 | 2 de junio de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PINO RAMIREZ VICTOR HUGO | 1 | 825.6 MXN | 16 % | 1.28 | 2011 - 2011 |
| SANTOS RIOS JOSE GUADALUPE | 1 | 8.96 MXN | 16 % | 0.32 | 2010 - 2010 |
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=312.205.0234.00")
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=312.205.0234.00')
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=312.205.0234.00')