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Description
CEDULA: 25. TALLA: 23.0. COLOR: CAFE. TIPO: CHOCLO ACABADO LISO; CORTE: CUERO DE GANADO VACUNO, CURTIDO AL CROMO, FLOR ENTERA, COLOR: CAFE CODIGO PANTONE 476C; FORRO: COMPLETO DEL MISMO COLOR DEL CORTE, DE CUERO DE
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.005.3533.04
Each circle represents one of the 3 purchases of CALZADO MASCULINO made by the IMSS between 2012 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 3 | 1,212.6 MXN | 167.2 MXN | 16 % | 0.8 | 13 de octubre de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BECESA, S. A. DE C. V. | 3 | 167.2 MXN | 16 % | 0.8 | 2012 - 2014 |
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=210.005.3533.04")
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=210.005.3533.04')
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=210.005.3533.04')