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Description
TRANSPARENTE DE BAJA DENSIDAD DE30 X 45 CENTIMETROS Y 0 038MILIMETROS DE ESPESOR PESO11.0 GRAMOS, * PARA USO EXCLUSIVO DEL AREA DE NUTRICION Y DIETETICA (EMPAQUE DEALIMENTOS SEMIPROCESADOS)
Classification
Artículos de consumo. Articulos de aseo
IMSS product code
350.119.1229.00
Each circle represents one of the 7 purchases of BOLSA DE POLIETILENO made by the IMSS between 2008 and 2011.
| 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 | 35,346 MXN | 5,841.3 MXN | 16.6 % | 11,234.7 | 5 de octubre de 2009 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 2 | 6,162.9 MXN | 498.1 MXN | 10.8 % | 958 | 20 de julio de 2009 |
| Delegación Nuevo León Almacen Delegacional En Nuevo Leon | Nuevo León | 1 | 448.9 MXN | 61.9 MXN | 16 % | 72 | 8 de febrero de 2011 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 5,612.8 MXN | 732.7 MXN | 15 % | 1,409.3 | 12 de septiembre de 2008 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GENERAL DE MAQUINARIA TEC-MAC, S. A. DE C. V. | 2 | 1,230.8 MXN | 18.3 % | 2,367.3 | 2008 - 2009 |
| GRUPO ABASTECEDOR DEL NORTE, S.A. DE C.V. | 2 | 5,841.3 MXN | 25 % | 11,234.7 | 2009 - 2009 |
| CORREA AYALA GEORGINA | 1 | - MXN | - | - | 2009 - 2009 |
| F.M. NEGOCIACIONES, S. A. DE C. V. | 1 | 61.9 MXN | 16 % | 72 | 2011 - 2011 |
| KEY QUIMICA, S. A. DE C. V. | 1 | - MXN | - | - | 2009 - 2009 |
Entity type
Articulos de aseo
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=350.119.1229.00")
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=350.119.1229.00')
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=350.119.1229.00')