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Description
TALLA: PLUS., TELA: POPELINA FALLA 80% POLIESTER 20% ALGODON, COLOR AZUL MARINO CODIGO PANTONE 19-4028 TP O TC, LOGOSIMBOLO: COLOR/COD. PANTONE BLANCO. TIPO: RECTO., CUELLO:
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.110.2388.00
Each circle represents one of the 2 purchases of BATA TRES CUARTOS DE LARGO Y MANGA CORTA FEMENINO made by the IMSS between 2010 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 537.7 MXN | 74.2 MXN | 16 % | 0.96 | 12 de abril de 2010 |
| Oficinas Centrales Almacen De Programas Especiales Y Red Fria | 1 | 583.4 MXN | 80.5 MXN | 16 % | 0.96 | 17 de mayo de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ESTILOS BARSI, S.A. DE C.V. | 1 | 74.2 MXN | 16 % | 0.96 | 2010 - 2010 |
| UNIFORMES INDUSTRIALES COMANDO, S. A. DE C. V. | 1 | 80.5 MXN | 16 % | 0.96 | 2011 - 2011 |
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=210.110.2388.00")
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=210.110.2388.00')
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=210.110.2388.00')