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Description
TALLA: CHICA, TELA: GABARDINA 50% POLIESTER Y 50% ALGODON. COLORES/COD. PANTONE: AZUL MARINO19-4028 TP O TC. LOGOSIMBOLO COLORES/COD. PANTONE: BLANCO. TIPO: RECTA, CUELLO: TIPO
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.110.2891.00
Each circle represents one of the 3 purchases of BATA TRES CUARTOS DE LARGO Y MANGA CORTA FEMENINO made by the IMSS between 2010 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 2 | 1,124 MXN | 155 MXN | 16 % | 0.96 | 15 de noviembre de 2012 | |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 730.8 MXN | 100.8 MXN | 16 % | 0.96 | 17 de junio de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| UNIFORMES INDUSTRIALES COMANDO, S. A. DE C. V. | 3 | 255.8 MXN | 16 % | 1.92 | 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=210.110.2891.00")
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=210.110.2891.00')
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=210.110.2891.00')