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Description
TALLA: 27.5, COLOR: CAFE, CODIGO PANTONE 476C TIPO: CHOCLO ACABADO LISO BRILLANTE; CORTE: PIEL DE GANADO VACUNO, CURTIDO AL CROMO; FORRO: COMPLETO DE PIEL DE CABRA O DE GANADO VACUNO CURTIDA
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.005.6643.00
Each circle represents one of the 2 purchases of CALZADO CON SUELA DE VAQUETA MASCULINO made by the IMSS between 2010 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Almacen De Programas Especiales Y Red Fria | 2 | 18,316.4 MXN | 2,526.4 MXN | 16 % | 11.4 | 17 de mayo de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BECERRA OVANDO JUAN PABLO | 1 | 1,224 MXN | 16 % | 5.44 | 2011 - 2011 |
| EXIMEX, S.A. DE C.V. | 1 | 1,302.4 MXN | 16 % | 5.92 | 2010 - 2010 |
Entity type
Ropa contractual
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=210.005.6643.00")
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=210.005.6643.00')
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=210.005.6643.00')