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Description
TALLA: GRANDE, TELA: POPELINA FALLA: 80% POLIESTER-20% ALGODON (BATA PINTOR Y MOÑO), GABARDINA: 50% POLIESTER Y 50% ALGODON (PANTALON), COLORES CODIGO. PANTONE: AMARILLO PAJA 12-0721 TP O TC
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.125.6408.00
Each circle represents one of the 2 purchases of BATA PINTOR Y PANTALON FEMENINO made by the IMSS between 2010 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 730.8 MXN | 100.8 MXN | 16 % | 0.48 | 17 de junio de 2010 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 972 MXN | 134.1 MXN | 16 % | 0.48 | 20 de junio de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| UNIFORMES INDUSTRIALES COMANDO, S. A. DE C. V. | 2 | 234.9 MXN | 16 % | 0.96 | 2010 - 2012 |
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=210.125.6408.00")
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=210.125.6408.00')
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=210.125.6408.00')