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Description
CEDULA: 47. TALLA: 28.5. COLOR: BLANCO. TIPO: CHOCLO CON BANDA Y TRABA PARA SUJECION A BASE DE CINTA AUTO ADHERIBLE; CORTE: CUERO DE GANADO VACUNO CURTIDO AL CROMO, FLOR ENTERA, LISO Y MATE, COLOR
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.005.4374.01
Each circle represents one of the 8 purchases of CALZADO PARA MEDICO RESIDENTE FEMENINO made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 6 | 3,849.9 MXN | 531 MXN | 16 % | 1.92 | 13 de septiembre de 2018 | |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 473.3 MXN | 65.3 MXN | 16 % | 0.32 | 12 de abril de 2010 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 473.3 MXN | 65.3 MXN | 16 % | 0.32 | 14 de abril de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BECESA, S. A. DE C. V. | 3 | 315.5 MXN | 16 % | 1.28 | 2012 - 2017 |
| EXIMEX, S.A. DE C.V. | 2 | 130.6 MXN | 16 % | 0.64 | 2010 - 2010 |
| INSUMOS Y MATERIALES PARA EL CALZADO PORRAS, S.A. | 2 | 115 MXN | 16 % | 0.32 | 2018 - 2018 |
| LINEA EN SEGURIDAD,S. A. DE C. V. | 1 | 100.5 MXN | 16 % | 0.32 | 2016 - 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=210.005.4374.01")
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=210.005.4374.01')
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=210.005.4374.01')