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Description
TALLA: MEDIANA. TELA: POPELINA FALLA 80% POLIESTER 20% ALGODON, COLOR BLANCO, LOGOSIMBOLO: COLOR/COD. PANTONE VERDE 561 C O 561 U. TIPO: RECTO. CUELLO: SPORT CON PESPUNTE ALREDEDOR,
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.110.0945.04
Each circle represents one of the 1 purchases of BATA TRES CUARTOS DE LARGO Y MANGA LARGA MASCULINO made by the IMSS between 2010 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 1 | 209.7 MXN | 28.9 MXN | 16 % | 0.32 | 20 de octubre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INTERNATIONAL SEWING COMPANY, S.A. DE C.V. | 1 | 28.9 MXN | 16 % | 0.32 | 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=210.110.0945.04")
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=210.110.0945.04')
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=210.110.0945.04')