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Description
TALLA: GRANDE, TELA: POPELINA CAMISERA 80% POLIESTER Y 20% ALGODON, (CAMISA), GABARDINA 50 % POLIESTER Y 50 % ALGODON (PANTALON) COLOR/COD. PANTONE: ARENA 16-0928 TP O TC (CAMISA Y
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.125.6044.00
Each circle represents one of the 2 purchases of CAMISA DE MANGA CORTA Y PANTALON MASCULINO made by the IMSS between 2010 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 20,810.4 MXN | 2,870.4 MXN | 16 % | 12.5 | 17 de junio de 2010 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 30,171.6 MXN | 4,161.6 MXN | 16 % | 14.4 | 20 de junio de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| UNIFORMES INDUSTRIALES COMANDO, S. A. DE C. V. | 2 | 7,032 MXN | 16 % | 26.9 | 2010 - 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=210.125.6044.00")
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=210.125.6044.00')
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=210.125.6044.00')