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Description
MARCADOR GRASO, COLOR NARANJA, DE 16.5 CMS, X 9 MM DIAMETRO, CON TIRA DE PAPEL DESENROLLABLE
Classification
Artículos de consumo. Utiles de oficina
IMSS product code
312.570.0157.00
Each circle represents one of the 5 purchases of LAPIZ made by the IMSS between 2010 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 | 2 | 174.5 MXN | 49.5 MXN | 43.2 % | 8.95 | 1 de enero de 2011 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 580.6 MXN | 54.7 MXN | 10.4 % | 10.1 | 1 de enero de 2011 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 4,649.3 MXN | 641.3 MXN | 16 % | 80.2 | 13 de febrero de 2017 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 130.5 MXN | 18 MXN | 16 % | 2.4 | 7 de mayo de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DELGADO HERNANDEZ GUSTAVO | 2 | 49.5 MXN | 43.2 % | 8.95 | 2010 - 2011 |
| COMERCIALIZADORA ANRUT, S.A. DE C.V. | 1 | 18 MXN | 16 % | 2.4 | 2012 - 2012 |
| ORGANIZACION PAPELERA OMEGA, S.A. DE C.V. | 1 | 54.7 MXN | 10.4 % | 10.1 | 2011 - 2011 |
| ORTIZ ARELLANO ROSA MARGARITA | 1 | 641.3 MXN | 16 % | 80.2 | 2017 - 2017 |
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=312.570.0157.00")
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=312.570.0157.00')
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=312.570.0157.00')