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Description
TALLA: EXTRA GRANDE, TELA: ACRILICO 100%, COLOR/COD. PANTONE: AZUL MARINO 19-4028 TP O TC. LOGOSIMBOLO DEL IMSS COLOR: BLANCO. TIPO: RECTO A LA ALTURA DE LA CADERA. DELANTERO: DE DOS PIEZAS,
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.115.1047.03
Each circle represents one of the 3 purchases of SUETER LARGO DE MANGA LARGA MASCULINO made by the IMSS between 2009 and 2009.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Campeche Almacen Delegacional En Campeche | Campeche | 1 | 95.9 MXN | 12.6 MXN | 15.1 % | 0.151 | 1 de enero de 2009 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 1 | 95.4 MXN | 12.1 MXN | 14.5 % | 0.145 | 1 de enero de 2009 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 191.9 MXN | 25.3 MXN | 15.2 % | 0.304 | 1 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PUNTO EUROPEO, S.A. DE C.V. | 3 | 50 MXN | 14.9 % | 0.6 | 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=210.115.1047.03")
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=210.115.1047.03')
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=210.115.1047.03')