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Description
TALLA: PLUS, TELA: POPELINA: 100% ALGODON (FILIPINA), POPELINA FALLA: 80% POLIESTER -20% ALGODON (PANTALON Y TURBANTE) COLOR BLANCO (FILIPINA Y TURBANTE) Y AZUL ELECTRICO 19-4050 TP O TC
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.125.4643.00
Each circle represents one of the 8 purchases of FILIPINA DE MANGA CORTA Y PANTALON MASCULINO 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 | 7,813.6 MXN | 1,077.7 MXN | 16.5 % | 6.24 | 17 de mayo de 2011 | |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 2 | 5,240.3 MXN | 722.8 MXN | 17.1 % | 3.04 | 13 de febrero de 2013 | |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 1,133.8 MXN | 156.4 MXN | 16 % | 0.96 | 30 de abril de 2010 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 566.9 MXN | 78.2 MXN | 16 % | 0.48 | 1 de abril de 2010 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 6,235.8 MXN | 860.1 MXN | 16 % | 5.28 | 12 de abril de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| VAN FLEUR, S. A. DE C. V. | 5 | 1,800.5 MXN | 16.7 % | 9.28 | 2011 - 2013 |
| IMAGINE TEXTILIS, S.A. DE C.V. | 3 | 1,094.7 MXN | 16 % | 6.72 | 2010 - 2010 |
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=210.125.4643.00")
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=210.125.4643.00')
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=210.125.4643.00')