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Description
PARA ENCUADERNAR (GUSANO LOMO), DE1.1/2", VARIOS COLORES
Classification
Artículos de consumo. Utiles de oficina
IMSS product code
312.092.0073.00
Each circle represents one of the 5 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 | 1 | 7,598.6 MXN | 999.3 MXN | 15.1 % | 250.8 | 1 de enero de 2009 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 1 | 313.2 MXN | 43.2 MXN | 16 % | 9.6 | 15 de julio de 2015 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 183.1 MXN | 15.7 MXN | 9.37 % | 3.94 | 1 de enero de 2009 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 291.4 MXN | 40.2 MXN | 16 % | 6.24 | 27 de mayo de 2013 |
| Delegación Tabasco | Tabasco | 1 | 37 MXN | 0.0028 MXN | 0.00756 % | 0.0000877 | 13 de enero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIALIZADORA DAMAG, S.A. DE C.V. | 1 | 15.7 MXN | 9.37 % | 3.94 | 2009 - 2009 |
| F Y G COMERC. DE PRODUCTS. MATS. Y SERV. EN GRAL. | 1 | 43.2 MXN | 16 % | 9.6 | 2015 - 2015 |
| PAPELERIA FOYO S. DE R.L. DE C.V. | 1 | 40.2 MXN | 16 % | 6.24 | 2013 - 2013 |
| Proveedor local no identificado (Compra Emergente) | 1 | 0.0028 MXN | 0.00756 % | 0.0000877 | 2011 - 2011 |
| VAZQUEZ ERIES DAVID | 1 | 999.3 MXN | 15.1 % | 250.8 | 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=312.092.0073.00")
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=312.092.0073.00')
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=312.092.0073.00')