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Description
TALLA: EXTRA-GRANDE, TELA: POPELINA CAMISERA: 80% POLIESTER -20% ALGODON (CAMISA) Y POLILANA: 55% POLIESTER 45% LANA (PANTALON Y CORBATA). COLORES/COD. PANTONE: BEIGE 16-1320 TP
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.125.2506.04
Each circle represents one of the 1 purchases of CAMISA DE MANGA CORTA PANTALON Y CORBATA MASCULINO made by the IMSS between 2010 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 1 | 1,317.2 MXN | 181.7 MXN | 16 % | 0.48 | 4 de mayo de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| IMAGINE TEXTILIS, S.A. DE C.V. | 1 | 181.7 MXN | 16 % | 0.48 | 2010 - 2010 |
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=210.125.2506.04")
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=210.125.2506.04')
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=210.125.2506.04')