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Description
PARA ENCUADERNAR (GUSANO LOMO), DE3/4", VARIOS COLORES
Classification
Artículos de consumo. Utiles de oficina
IMSS product code
312.092.0115.00
Each circle represents one of the 11 purchases of ARILLO DE PLASTICO made by the IMSS between 2009 and 2012.
| 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 | 3 | 9,048.8 MXN | 1,316.1 MXN | 17.1 % | 453 | 4 de abril de 2012 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 3 | 1,503.9 MXN | 292.6 MXN | 21.3 % | 99 | 17 de noviembre de 2010 |
| H. Traumatología "Dr. Victorio De La Fuente Narváez" Umae Trauma Y Orto M.s. "dr. Victorio De La Fuente Narvaez" (d.f. Nort | Ciudad de México | 3 | 586.9 MXN | 59.6 MXN | 13.8 % | 19.4 | 1 de enero de 2011 |
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 2 | 1,432.2 MXN | 133.5 MXN | 15.6 % | 42.1 | 1 de enero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIALIZADORA DAMAG, S.A. DE C.V. | 7 | 1,429.7 MXN | 22.3 % | 459.6 | 2009 - 2011 |
| DEPORTES Y REGALOS SAMAR, S. A. DE C. V. | 1 | 20.6 MXN | 5.94 % | 6.48 | 2010 - 2010 |
| DISTRIBUIDORA PAPELERA JARDINES, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| MAHO MANTENIMIENTO HOSPITALARIO, S.A. DE C.V. | 1 | 35.7 MXN | 9.6 % | 11.2 | 2011 - 2011 |
| OFFICE CLUB, S.A . DE C. V. | 1 | 315.9 MXN | 16 % | 136.2 | 2012 - 2012 |
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=312.092.0115.00")
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=312.092.0115.00')
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=312.092.0115.00')