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Description
CEDULA: 27, TALLA: EXTRA-GRANDE, DESCRIPCION: CHAMARRA: TIPO DEPORTIVO; TELA: POLIESTER 100%; CUELLO: SPORT CON PESPUNTE ALREDEDOR: DELANTERO: DE CUATRO PIEZAS CON COMBINACION DE COLOR,
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.125.3959.04
Each circle represents one of the 7 purchases of CHAMARRA Y PANTALON DEPORTIVOS UNISEX 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 | 4 | 26,029 MXN | 3,590.2 MXN | 16 % | 8.64 | 10 de septiembre de 2018 | |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 1,235.4 MXN | 170.4 MXN | 16 % | 0.48 | 19 de abril de 2010 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 1 | 1,235.4 MXN | 170.4 MXN | 16 % | 0.48 | 4 de mayo de 2010 |
| Oficinas Centrales Almacen De Programas Especiales Y Red Fria | 1 | 2,784 MXN | 384 MXN | 16 % | 0.96 | 17 de mayo de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| EXIMEX, S.A. DE C.V. | 5 | 2,136 MXN | 16 % | 5.28 | 2010 - 2013 |
| GRUPO TEXTIL CONTEPEC S.A. DE C.V. | 1 | 946.8 MXN | 16 % | 2.4 | 2017 - 2017 |
| MAGNOCOM, S.A. DE C.V. | 1 | 1,232.2 MXN | 16 % | 2.88 | 2018 - 2018 |
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=210.125.3959.04")
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=210.125.3959.04')
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=210.125.3959.04')