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Description
TALLA: EXTRA GRANDE, TELA: TEJIDO DE PUNTO 60% A 70% POLIESTER 40% A 30% ALGODON COLORES/COD. PANTONE VERDE 18-5642 TP O TC SIGLAS DEL IMSS : COLOR: BLANCO. CHAMARRA: TIPO DEPORTIVO CUELLO: SPORT
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.125.3959.03
Each circle represents one of the 2 purchases of CHAMARRA Y PANTALON DEPORTIVOS UNISEX made by the IMSS between 2009 and 2009.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 1,163.1 MXN | 151.7 MXN | 15 % | 0.45 | 1 de enero de 2009 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 1 | 1,163.1 MXN | 151.7 MXN | 15 % | 0.45 | 1 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| EXIMEX, S.A. DE C.V. | 2 | 303.4 MXN | 15 % | 0.9 | 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=210.125.3959.03")
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=210.125.3959.03')
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=210.125.3959.03')