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Description
TALLA PLUS. TELA: POPELINA FALLA: 80% POLIESTER, 20% ALGODON, COLORES/ COD. PANTONE: BLANCO, LOGOSIMBOLO DEL IMSS: COLOR /COD. PANTONE: VERDE 561 C O 561 U. TIPO: RECTO. CUELLO SPORT
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.110.2446.00
Each circle represents one of the 2 purchases of BATA TRES CUARTOS DE LARGO Y MANGA LARGA FEMENINO made by the IMSS between 2010 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 271.3 MXN | 37.4 MXN | 16 % | 0.48 | 24 de mayo de 2010 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 795.2 MXN | 109.7 MXN | 16 % | 0.96 | 4 de enero de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ESTILOS BARSI, S.A. DE C.V. | 2 | 147.1 MXN | 16 % | 1.44 | 2010 - 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=210.110.2446.00")
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=210.110.2446.00')
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=210.110.2446.00')