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Description
PARA PAN O POSTRE, DE MELAMINA O POLICARBONATO, EN COLOR BLANCO, DE 14.5 C M DE DIAMETRO, CON EL EMBLEMA DEL IMSS GRABADO.
Classification
Artículos de consumo. Articulos de cocina y comedor
IMSS product code
120.736.0197.01
Each circle represents one of the 14 purchases of PLATO made by the IMSS between 2009 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 10 | 37,357.5 MXN | 7,433 MXN | 17.8 % | 1,436.8 | 5 de julio de 2016 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 3 | 11,771.7 MXN | 102.1 MXN | 2.92 % | 20.5 | 27 de marzo de 2013 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 5,971.7 MXN | 137.3 MXN | 2.35 % | 27.5 | 15 de enero de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DOMINGUEZ ARANGO NALLELY IVONNE | 3 | 1,638.3 MXN | 16 % | 291.2 | 2015 - 2016 |
| HECTOR CORREA LEE | 3 | 102.1 MXN | 2.92 % | 20.5 | 2012 - 2013 |
| BLOOMING DISTRIBUCIONES, S.A. DE C.V. | 2 | 466.7 MXN | 8.42 % | 66 | 2010 - 2010 |
| SAEC, S. A. DE C. V. | 2 | 3,558.9 MXN | 33.3 % | 722.7 | 2011 - 2012 |
| CORPORATIVO HAGAZII, S.A. DE C.V. | 1 | 1,749.6 MXN | 31.9 % | 350.9 | 2013 - 2013 |
| DEPORTES Y REGALOS SAMAR, S. A. DE C. V. | 1 | 19.5 MXN | 15 % | 6 | 2009 - 2009 |
| JARAMILLO ORTIZ VERONICA | 1 | 137.3 MXN | 2.35 % | 27.5 | 2013 - 2013 |
| PROVEEDORA MEDICA CELMAG, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
Entity type
Articulos de cocina y comedor
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=120.736.0197.01")
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=120.736.0197.01')
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=120.736.0197.01')