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Description
PLOMO PARA DIBUJO HB (SUAVE), 17.5 CM DE LARGO POR 7 MM DE DIAMETRO, CON CASQUILLO
Classification
Artículos de consumo. Utiles de oficina
IMSS product code
312.570.0454.00
Each circle represents one of the 5 purchases of LAPIZ made by the IMSS between 2009 and 2018.
| 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 | 2 | 218.3 MXN | 29.4 MXN | 15.5 % | 4.03 | 1 de enero de 2011 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 87 MXN | 12 MXN | 16 % | 1.6 | 12 de junio de 2018 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 800.4 MXN | 110.4 MXN | 16 % | 16 | 1 de enero de 2017 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 295.8 MXN | 40.8 MXN | 16 % | 8 | 28 de julio de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DELGADO HERNANDEZ GUSTAVO | 1 | 17.3 MXN | 16 % | 2.08 | 2011 - 2011 |
| FRANWEY COMERCIALIZADORA, S.A. DE C.V. | 1 | 110.4 MXN | 16 % | 16 | 2017 - 2017 |
| LUZMILA BUGARIN GARCIA | 1 | 12 MXN | 16 % | 1.6 | 2018 - 2018 |
| MARTIN DEL CAMPO FONSECA JOSE LUIS | 1 | 12.1 MXN | 15 % | 1.95 | 2009 - 2009 |
| PRODUCCIONES CONTI, S.A. DE C.V. | 1 | 40.8 MXN | 16 % | 8 | 2016 - 2016 |
Entity type
Utiles de oficina
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=312.570.0454.00")
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=312.570.0454.00')
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=312.570.0454.00')