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Description
CEDULA: 51. TALLA: 31.0. COLOR: BLANCO TIPO: CHOCLO; CORTE: CUERO DE GANADO VACUNO, CURTIDO AL CROMO, FLOR ENTERA, LISO. FORRO: COMPLETO DEL MISMO COLOR DEL CORTE, DE CUERO DE GANADO VACUNO, FLOR
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.005.6171.02
Each circle represents one of the 4 purchases of CALZADO CONTRACTUAL FEMENINO made by the IMSS between 2011 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Almacen De Programas Especiales Y Red Fria | 2 | 926.8 MXN | 127.8 MXN | 16 % | 0.64 | 17 de mayo de 2011 | |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 2 | 795.8 MXN | 109.8 MXN | 16 % | 0.64 | 4 de enero de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BECESA, S. A. DE C. V. | 2 | 109.8 MXN | 16 % | 0.64 | 2012 - 2013 |
| BECERRA OVANDO JUAN PABLO | 1 | 59.9 MXN | 15 % | 0.3 | 2011 - 2011 |
| DISTRIBUIDORA FLEXI, S. A. DE C. V. | 1 | 68 MXN | 17 % | 0.34 | 2011 - 2011 |
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=210.005.6171.02")
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=210.005.6171.02')
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=210.005.6171.02')