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Description
PARA ENCUADERNAR (GUSANO LOMO), DE5/16", VARIOS COLORES
Classification
Artículos de consumo. Utiles de oficina
IMSS product code
312.092.0040.00
Each circle represents one of the 9 purchases of ARILLO DE PLASTICO made by the IMSS between 2009 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 4 | 1,357.1 MXN | 182.3 MXN | 12.7 % | 167.9 | 4 de abril de 2012 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 2 | 378.6 MXN | 51.1 MXN | 12.6 % | 40.9 | 9 de marzo de 2010 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 1 | 40.9 MXN | 5.64 MXN | 16 % | 3.84 | 24 de junio de 2015 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 59.7 MXN | 8.24 MXN | 16 % | 6.24 | 27 de mayo de 2013 |
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 1 | 348 MXN | 55.2 MXN | 18.9 % | 45.2 | 1 de enero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIALIZADORA DAMAG, S.A. DE C.V. | 7 | 231.9 MXN | 12.7 % | 181.8 | 2009 - 2015 |
| PAPELERIA FOYO S. DE R.L. DE C.V. | 1 | 8.24 MXN | 16 % | 6.24 | 2013 - 2013 |
| VAZQUEZ ERIES DAVID | 1 | 62.4 MXN | 21.8 % | 76 | 2009 - 2009 |
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=312.092.0040.00")
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=312.092.0040.00')
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=312.092.0040.00')