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Description
PARA TAQUIGRAFIA, DE 18 CM DE LARGO X 6 MM DE DIAMETRO, GRABADO CON LA LEYENDA "PROPIEDAD DEL IMSS"
Classification
Artículos de consumo. Utiles de oficina
IMSS product code
312.570.0207.00
Each circle represents one of the 10 purchases of LAPIZ made by the IMSS between 2009 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DELGADO HERNANDEZ GUSTAVO | 2 | 15.4 MXN | 8 % | 7.68 | 2010 - 2011 |
| ALVAREZ VARGAS ERIC | 1 | 24.8 MXN | 16 % | 5.76 | 2018 - 2018 |
| COMERCIALIZADORA Y DISTRIB. DEL VALLE DE MEX. DE C | 1 | 936 MXN | 16 % | 240 | 2012 - 2012 |
| LUZ LETICIA LOZA PEREZ | 1 | - MXN | - | - | 2014 - 2014 |
| MARTIN DEL CAMPO FONSECA JOSE LUIS | 1 | - MXN | - | - | 2009 - 2009 |
| NEXWIN S.A. DE C.V. | 1 | 415.5 MXN | 28.9 % | 113.6 | 2009 - 2009 |
| PAPELERIA MADERO VALLADOLID SA DE CV | 1 | 13.8 MXN | 16 % | 8 | 2015 - 2015 |
| RUIZ GRANADOS YOLANDA | 1 | 334.9 MXN | 16 % | 112 | 2013 - 2013 |
| SURTIDORA ALEVI, S.A. DE C.V. | 1 | 94.4 MXN | 30.3 % | 30.3 | 2011 - 2011 |
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=312.570.0207.00")
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=312.570.0207.00')
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=312.570.0207.00')