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Description
TALLA: ESPECIAL. TELA: POPELINA FALLA 80% POLIESTER 20% ALGODON, COLORES COD. PANTONE AMARILLO PAJA 12-0721 TP O TC, LOGOSIMBOLO: COLOR/COD. PANTONE VERDE 561 C O 561 U.
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.125.4262.00
Each circle represents one of the 2 purchases of FILIPINA CON ESCOTE EN "Y" MANGA CORTA Y PANTALON FEMENINO made by the IMSS between 2011 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Almacen De Programas Especiales Y Red Fria | 2 | 2,968.9 MXN | 409.5 MXN | 16.8 % | 2.4 | 17 de mayo de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ESTILOS BARSI, S.A. DE C.V. | 1 | 316.2 MXN | 15.4 % | 1.85 | 2011 - 2011 |
| VAN FLEUR, S. A. DE C. V. | 1 | 93.3 MXN | 18.2 % | 0.547 | 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=210.125.4262.00")
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=210.125.4262.00')
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=210.125.4262.00')