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Description
TALLA: EXTRA GRANDE, TELA: POPELINA FALLA 80% POLIESTER 20% ALGODON, COLORES CODIGO PANTONE: BLANCO Y VERDE AGUA 13-5414 TP O TC (MIL RAYAS), LOGOSIMBOLO: COLOR/COD. PANTONE VERDE 561 C O 561 U. TIPO:
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.110.2305.02
Each circle represents one of the 2 purchases of BATA LARGA DE MANGA CORTA FEMENINO made by the IMSS between 2009 and 2009.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 2 | 1,033.1 MXN | 134.8 MXN | 15 % | 1.35 | 1 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEGRACUMU, S.A. DE C.V. | 1 | 59.9 MXN | 15 % | 0.6 | 2009 - 2009 |
| UNIFORMES INDUSTRIALES COMANDO, S. A. DE C. V. | 1 | 74.8 MXN | 15 % | 0.75 | 2009 - 2009 |
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=210.110.2305.02")
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=210.110.2305.02')
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=210.110.2305.02')