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Description
TALLA: EXTRA-GRANDE, TELA: POPELINA FALLA: 80% POLIESTER-20% ALGODON (BATA PINTOR), POPELINA FALLA: 70% POLIESTER-30% ALGODON (PANTALON Y MOÑO), COLORES CODIGO. PANTONE: AMARILLO PAJA 12-0721 TP O TC (BATA
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.125.4734.00
Each circle represents one of the 18 purchases of BATA PINTOR Y PANTALON 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 | 3 | 7,898.9 MXN | 1,089.5 MXN | 16 % | 6.24 | 17 de mayo de 2011 | |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 3 | 22,379.5 MXN | 3,086.8 MXN | 16 % | 13.9 | 4 de enero de 2013 | |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 572.5 MXN | 79 MXN | 16 % | 0.48 | 21 de mayo de 2010 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 572.5 MXN | 79 MXN | 16 % | 0.48 | 12 de abril de 2010 |
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 1 | 572.5 MXN | 79 MXN | 16 % | 0.48 | 15 de abril de 2010 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 572.5 MXN | 79 MXN | 16 % | 0.48 | 21 de abril de 2010 |
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 1 | 572.5 MXN | 79 MXN | 16 % | 0.48 | 1 de abril de 2010 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 572.5 MXN | 79 MXN | 16 % | 0.48 | 6 de abril de 2010 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 1 | 572.5 MXN | 79 MXN | 16 % | 0.48 | 15 de abril de 2010 |
| Delegación Nuevo León Almacen Delegacional En Nuevo Leon | Nuevo León | 1 | 572.5 MXN | 79 MXN | 16 % | 0.48 | 1 de enero de 2010 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 572.5 MXN | 79 MXN | 16 % | 0.48 | 9 de abril de 2010 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 1,144.9 MXN | 157.9 MXN | 16 % | 0.96 | 23 de abril de 2010 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 572.5 MXN | 79 MXN | 16 % | 0.48 | 12 de abril de 2010 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 572.5 MXN | 79 MXN | 16 % | 0.48 | 1 de abril de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| RENOVADORA DE COLCHONES, S. A. DE C. V. | 16 | 3,431.5 MXN | 16 % | 18.7 | 2010 - 2012 |
| CONFECCIONES SAN MATEO, S. A. DE C. V. | 1 | 705.8 MXN | 16.1 % | 3.06 | 2013 - 2013 |
| UNIFORMES RECSA, S. A. DE C. V. | 1 | 1,065.5 MXN | 15.9 % | 4.62 | 2013 - 2013 |
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=210.125.4734.00")
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=210.125.4734.00')
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=210.125.4734.00')