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Description
TALLA: 31.5 COLOR BLANCO. TIPO CHOCLO, CORTE CUERO DE GANADO VACUNO CURTIDO AL CROMO. FLOR ENTERA, LISO, SUAVE Y BRILLANTE. FORRO: EN LOS LATERALES. LA LENGUETA Y LAS VISTAS DE CUERO DE GANADO VACUNO O
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.005.5181.01
Each circle represents one of the 3 purchases of CALZADO CONTRACTUAL MASCULINO made by the IMSS between 2008 and 2009.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 458.1 MXN | 59.8 MXN | 15 % | 0.3 | 1 de enero de 2009 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 458.1 MXN | 59.8 MXN | 15 % | 0.3 | 2 de enero de 2009 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 458.1 MXN | 59.8 MXN | 15 % | 0.3 | 9 de diciembre de 2008 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BECERRA OVANDO JUAN PABLO | 3 | 179.3 MXN | 15 % | 0.9 | 2008 - 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=210.005.5181.01")
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=210.005.5181.01')
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=210.005.5181.01')