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Description
HOJA DE PAPEL CUBIERTA DE TELA LIGERA Y FINA LARGO 210.0 CM (+ -) 1.0CM, ANCHO 50.0 CM (+ -) 1.0CM, COLOR NEGRO.
Classification
Artículos de consumo. Papeleria
IMSS product code
311.685.1571.00
Each circle represents one of the 1 purchases of PAPEL CREPE made by the IMSS between 2009 and 2009.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Campeche Almacen Delegacional En Campeche | Campeche | 1 | 56.4 MXN | 7.78 MXN | 16 % | 2.88 | 16 de junio de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CARIN COMERCIALIZADORA DEL SURESTE S.A. DE C.V. | 1 | 7.78 MXN | 16 % | 2.88 | 2009 - 2009 |
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=311.685.1571.00")
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=311.685.1571.00')
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=311.685.1571.00')