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Description
TALLA: GRANDE, TELA: POPELINA: 100% ALGODON (FILIPINA), POPELINA FALLA: 80% POLIESTER -20% ALGODON (PANTALON) COLOR BLANCO (FILIPINA) Y AZUL ELECTRICO 19-4050 TP O TC (PANTALON),
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.125.1607.04
Each circle represents one of the 14 purchases of FILIPINA DE MANGA CORTA Y PANTALON MASCULINO made by the IMSS between 2008 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 | 5 | 14,345.1 MXN | 1,959.9 MXN | 16 % | 11.8 | 17 de mayo de 2011 | |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 2 | 3,768.3 MXN | 508.5 MXN | 15.5 % | 3.27 | 6 de abril de 2010 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 2 | 4,268.6 MXN | 573.8 MXN | 15.5 % | 3.72 | 19 de abril de 2010 |
| Delegación Nuevo León Almacen Delegacional En Nuevo Leon | Nuevo León | 2 | 1,067.1 MXN | 143.4 MXN | 15.5 % | 0.93 | 1 de enero de 2010 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 2 | 20,822.6 MXN | 2,872.1 MXN | 16 % | 13 | 4 de enero de 2013 | |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 1 | 1,511.7 MXN | 208.5 MXN | 16 % | 1.28 | 26 de abril de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| IMAGINE TEXTILIS, S.A. DE C.V. | 9 | 2,151.5 MXN | 15.6 % | 13.9 | 2008 - 2010 |
| VAN FLEUR, S. A. DE C. V. | 5 | 4,114.8 MXN | 16.2 % | 20.2 | 2011 - 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=210.125.1607.04")
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=210.125.1607.04')
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=210.125.1607.04')