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Description
TALLA: PLUS; TELA: POPELINA FALLA 70% POLIESTER 30% ALGODON (FILIPINA); POLIESTER 100% TEXTURIZADO (PANTALON); COLORES: CODIGO PANTONE BLANCO (FILIPINA) Y VERDE
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.125.4999.00
Each circle represents one of the 7 purchases of FILIPINA CON ESCOTE REDONDO MANGA CORTA 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 Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 3 | 5,601.3 MXN | 772.6 MXN | 16.2 % | 3.36 | 4 de enero de 2013 | |
| Oficinas Centrales Almacen De Programas Especiales Y Red Fria | 2 | 3,047.4 MXN | 420.3 MXN | 16.1 % | 2.4 | 17 de mayo de 2011 | |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 579.9 MXN | 79.5 MXN | 15.9 % | 0.477 | 24 de mayo de 2010 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 2,322.1 MXN | 320.7 MXN | 16 % | 1.92 | 12 de abril de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONFECCIONES SAN MATEO, S. A. DE C. V. | 2 | 611.3 MXN | 16.9 % | 3.17 | 2010 - 2013 |
| RENOVADORA DE COLCHONES, S. A. DE C. V. | 2 | 436.4 MXN | 16 % | 2.39 | 2011 - 2012 |
| ESTILOS BARSI, S.A. DE C.V. | 1 | 79.5 MXN | 15.9 % | 0.477 | 2010 - 2010 |
| MEGRACUMU, S.A. DE C.V. | 1 | 86 MXN | 16.4 % | 0.491 | 2011 - 2011 |
| UNIFORMES RECSA, S. A. DE C. V. | 1 | 380 MXN | 14.8 % | 1.63 | 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=210.125.4999.00")
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=210.125.4999.00')
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=210.125.4999.00')