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Description
COPIA 30 GR/M2 DE21X29.7 CM (A-4). COLOR BLANCO.
Classification
Artículos de consumo. Papeleria
IMSS product code
311.685.0722.00
Each circle represents one of the 2 purchases of PAPEL BOND made by the IMSS between 2010 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 34,819.7 MXN | 4,802.7 MXN | 16 % | 41.6 | 24 de agosto de 2012 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 6,171.2 MXN | 851.2 MXN | 16 % | 8.96 | 1 de enero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SERVICIOS Y SISTEMAS IMPRESOS, S.A. DE C.V. | 2 | 5,653.9 MXN | 16 % | 50.6 | 2010 - 2012 |
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=311.685.0722.00")
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=311.685.0722.00')
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=311.685.0722.00')