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Description
TALLA: ESPECIAL, TELA: POPELINA CAMISERA: 80% POLIESTER Y 20% ALGODON (CAMISA) Y GABARDINA 50% POLIESTER Y 50% ALGODON (PANTALON). COLORES/COD. PANTONE: BEIGE 16-1320 TP O TC (CAMISA) Y
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.125.5947.00
Each circle represents one of the 2 purchases of CAMISA DE MANGA CORTA Y PANTALON MASCULINO made by the IMSS between 2010 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 239.5 MXN | 33 MXN | 16 % | 0.16 | 17 de junio de 2010 |
| Oficinas Centrales Almacen De Programas Especiales Y Red Fria | 1 | 310.3 MXN | 42.8 MXN | 16 % | 0.16 | 30 de agosto de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| IMAGINE TEXTILIS, S.A. DE C.V. | 1 | 33 MXN | 16 % | 0.16 | 2010 - 2010 |
| VAN FLEUR, S. A. DE C. V. | 1 | 42.8 MXN | 16 % | 0.16 | 2011 - 2011 |
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=210.125.5947.00")
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=210.125.5947.00')
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=210.125.5947.00')