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Description
TALLA: PLUS, TELAS: POPELINA FALLA: 80% POLIESTER -20% ALGODON (SACO) Y POLIESTER 100% TEXTURIZADO (PANTALON) COLORES/COD. PANTONE: BLANCO (SACO) Y VERDE OSCURO 19-5420 TP O TC (PANTALON).
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.125.4551.00
Each circle represents one of the 2 purchases of SACO DE MANGA CORTA Y PANTALON MASCULINO made by the IMSS between 2013 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 2 | 3,596 MXN | 496 MXN | 16.1 % | 1.92 | 4 de enero de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEGRACUMU, S.A. DE C.V. | 1 | 213.4 MXN | 16.5 % | 0.826 | 2013 - 2013 |
| UNIFORMES RECSA, S. A. DE C. V. | 1 | 282.6 MXN | 15.6 % | 1.09 | 2013 - 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=210.125.4551.00")
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=210.125.4551.00')
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=210.125.4551.00')