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Description
TALLA: GRANDE, TELA POPELINA FALLA: 80 % POLIESTER -20 % ALGODON (FILIPINA Y PANTALON), COLOR CODIGO PANTONE VERDE AGUA 13-5414 TP O TC (FILIPINA), COLOR CODIGO PANTONE AZUL
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.125.0211.06
Each circle represents one of the 3 purchases of FILIPINA CON CUELLO SPORT DE MANGA CORTA Y PANTALON FEMENINO made by the IMSS between 2012 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 3 | 3 millones MXN | 418,364.3 MXN | 17.8 % | 2,077.6 | 11 de mayo de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONFECCIONES SAN MATEO, S. A. DE C. V. | 2 | 250,252.6 MXN | 18.6 % | 1,242.8 | 2012 - 2012 |
| RENOVADORA DE COLCHONES, S. A. DE C. V. | 1 | 168,111.7 MXN | 16.1 % | 834.8 | 2012 - 2012 |
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=210.125.0211.06")
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=210.125.0211.06')
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=210.125.0211.06')