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Description
TALLA: ESPECIAL, TELA: POPELINA FALLA: 80% POLIESTER-20% ALGODON (BATA PINTOR, MOYO), POPELINA FALLA: 70% POLIESTER- 30% ALGODON (PANTALON), COLORES/COD. PANTONE: AMARILLO PAJA 12-0721 TP O TC (BATA
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.125.3769.04
Each circle represents one of the 5 purchases of BATA PINTOR Y PANTALON FEMENINO made by the IMSS between 2009 and 2009.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 516.5 MXN | 67.4 MXN | 15 % | 0.45 | 1 de enero de 2009 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 516.5 MXN | 67.4 MXN | 15 % | 0.45 | 1 de enero de 2009 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 1 | 516.5 MXN | 67.4 MXN | 15 % | 0.45 | 1 de enero de 2009 |
| Delegación Nuevo León Almacen Delegacional En Nuevo Leon | Nuevo León | 1 | 516.5 MXN | 67.4 MXN | 15 % | 0.45 | 1 de enero de 2009 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 516.5 MXN | 67.4 MXN | 15 % | 0.45 | 1 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| IMAGINE TEXTILIS, S.A. DE C.V. | 5 | 336.8 MXN | 15 % | 2.25 | 2009 - 2009 |
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=210.125.3769.04")
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=210.125.3769.04')
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=210.125.3769.04')