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Description
CEDULA: 51. TALLA: 29.0. COLOR: NEGRO 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
210.005.6387.02
Each circle represents one of the 18 purchases of CALZADO CONTRACTUAL FEMENINO made by the IMSS between 2010 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 | 7 | 16,771.5 MXN | 2,313.3 MXN | 15.3 % | 11.7 | 11 de octubre de 2011 | |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 2 | 16,458.1 MXN | 2,270.1 MXN | 16 % | 13.1 | 4 de enero de 2013 | |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 452.4 MXN | 64.8 MXN | 16.7 % | 0.335 | 12 de octubre de 2010 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 455.9 MXN | 68.3 MXN | 17.6 % | 0.353 | 1 de abril de 2010 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 455.9 MXN | 68.3 MXN | 17.6 % | 0.353 | 30 de abril de 2010 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 455.9 MXN | 68.3 MXN | 17.6 % | 0.353 | 12 de abril de 2010 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 3,134.3 MXN | 421.4 MXN | 15.5 % | 2.17 | 6 de abril de 2010 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 1 | 895.5 MXN | 120.4 MXN | 15.5 % | 0.621 | 26 de abril de 2010 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 447.8 MXN | 60.2 MXN | 15.5 % | 0.311 | 15 de abril de 2010 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 447.8 MXN | 60.2 MXN | 15.5 % | 0.311 | 23 de abril de 2010 |
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 1 | 447.8 MXN | 60.2 MXN | 15.5 % | 0.311 | 1 de enero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BECERRA OVANDO JUAN PABLO | 7 | 1,797.5 MXN | 15.7 % | 9.16 | 2010 - 2011 |
| DISTRIBUIDORA FLEXI, S. A. DE C. V. | 4 | 526.1 MXN | 17.7 % | 2.68 | 2010 - 2011 |
| BECESA, S. A. DE C. V. | 3 | 2,359.5 MXN | 14.4 % | 13.6 | 2011 - 2013 |
| CALZADO GALA, S.A. DE C.V. | 2 | 556.3 MXN | 17.2 % | 2.82 | 2010 - 2011 |
| COMERCIALIZADORA BEMA, S. A. DE C. V. | 1 | 196.7 MXN | 16.6 % | 0.993 | 2011 - 2011 |
| LINEA EN SEGURIDAD,S. A. DE C. V. | 1 | 139.5 MXN | 11.7 % | 0.704 | 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=210.005.6387.02")
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=210.005.6387.02')
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=210.005.6387.02')