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Description
TALLA: 21.5. COLOR: BLANCO. CEDULA 46.
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.005.3988.03
Each circle represents one of the 6 purchases of CALZADO CONTRACTUAL MASCULINO made by the IMSS between 2015 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 5 | 4,778.7 MXN | 666.1 MXN | 16.2 % | 2.27 | 29 de agosto de 2016 | |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 939.6 MXN | 122.6 MXN | 15 % | 0.45 | 21 de septiembre de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BECESA, S. A. DE C. V. | 6 | 788.7 MXN | 16 % | 2.72 | 2015 - 2016 |
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=210.005.3988.03")
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=210.005.3988.03')
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=210.005.3988.03')