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Description
TALLA 21.5, VOL. I, CEDULA 47.
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.005.4234.00
Each circle represents one of the 4 purchases of CALZADO PARA MEDICA RESIDENTE made by the IMSS between 2011 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Almacen De Programas Especiales Y Red Fria | 2 | 964.8 MXN | 133.1 MXN | 16.2 % | 0.64 | 11 de octubre de 2011 | |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 1,206.4 MXN | 166.4 MXN | 16 % | 0.64 | 21 de septiembre de 2015 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 2,742.2 MXN | 378.2 MXN | 16 % | 1.92 | 15 de noviembre de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BECESA, S. A. DE C. V. | 3 | 579.1 MXN | 16.2 % | 2.73 | 2011 - 2015 |
| ABAMCU, S. A. DE C. V. | 1 | 98.6 MXN | 15.8 % | 0.474 | 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=210.005.4234.00")
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=210.005.4234.00')
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=210.005.4234.00')