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Description
TRANSPARENTE DE BAJA DENSIDAD CALIBRE 0038 MILIMETROS, CON MEDIDAS DE 50 X 60 CENTIMETROS, PESO DE 20.7 GRAMOS, PARA SER UTILIZADA EN EL BOTE TIPO CAMPANA, , "CUYAS
Classification
Artículos de consumo. Articulos de aseo
IMSS product code
350.119.1369.01
Presentation
CAJA CON 400 PIEZAS
Each circle represents one of the 4 purchases of BOLSA DE POLIETILENO made by the IMSS between 2016 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 4 | 326,822.4 MXN | 45,079 MXN | 16.7 % | 123.7 | 13 de marzo de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MARTIN DEL CAMPO FONSECA JOSE LUIS | 3 | 40,254.1 MXN | 18.9 % | 109.4 | 2016 - 2017 |
| MANUEL MALDONADO SANDOVAL | 1 | 4,824.9 MXN | 10.2 % | 14.3 | 2016 - 2016 |
Entity type
Articulos de aseo
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=350.119.1369.01")
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=350.119.1369.01')
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=350.119.1369.01')