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Description
CEDULA: 27, TALLA: ESPECIAL, 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
210.125.3967.04
Each circle represents one of the 2 purchases of CHAMARRA Y PANTALON DEPORTIVOS UNISEX made by the IMSS between 2017 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 2 | 11,447.1 MXN | 1,578.9 MXN | 16 % | 3.84 | 10 de septiembre de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GRUPO TEXTIL CONTEPEC S.A. DE C.V. | 1 | 757.5 MXN | 16 % | 1.92 | 2017 - 2017 |
| MAGNOCOM, S.A. DE C.V. | 1 | 821.5 MXN | 16 % | 1.92 | 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=210.125.3967.04")
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=210.125.3967.04')
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=210.125.3967.04')