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Description
CEDULA: 25. TALLA: 32.0. 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
210.005.3822.04
Each circle represents one of the 7 purchases of CALZADO MASCULINO made by the IMSS between 2010 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 | 2,425.8 MXN | 334.6 MXN | 16 % | 1.6 | 13 de octubre de 2014 | |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 544.8 MXN | 75.1 MXN | 16 % | 0.32 | 1 de enero de 2010 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 272.4 MXN | 37.6 MXN | 16 % | 0.16 | 6 de abril de 2010 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 544.8 MXN | 75.1 MXN | 16 % | 0.32 | 9 de abril de 2010 |
| Oficinas Centrales Almacen De Programas Especiales Y Red Fria | 1 | 748.2 MXN | 103.2 MXN | 16 % | 0.48 | 13 de mayo de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BECESA, S. A. DE C. V. | 3 | 334.6 MXN | 16 % | 1.6 | 2012 - 2014 |
| COMERCIAL UNITEXT, S. DE R. L. DE C. V. | 3 | 187.9 MXN | 16 % | 0.8 | 2010 - 2010 |
| BECERRA OVANDO JUAN PABLO | 1 | 103.2 MXN | 16 % | 0.48 | 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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Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.
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=210.005.3822.04")
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=210.005.3822.04')
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=210.005.3822.04')