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Description
TRANSPARENTE DE BAJA DENSIDAD DE30 X 20 CENTIMETROS Y 0 038MILIMETROS DE ESPESOR PESO5.0 GRAMOS, * PARA USO EXCLUSIVO DEL AREA DE NUT RICION YDIETETICA (EMPAQUE DE ALIMENTOS SEMIPROCESADOS)
Classification
Artículos de consumo. Articulos de aseo
IMSS product code
350.119.1203.00
Each circle represents one of the 9 purchases of BOLSA DE POLIETILENO made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California | Baja California | 5 | 1,011.4 MXN | 427.5 MXN | 14,810.4 % | 4,931.9 | 16 de noviembre de 2010 |
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 2 | 2,986.7 MXN | 355.9 MXN | 13.5 % | 1,527.4 | 9 de julio de 2009 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 62.7 MXN | 39.4 MXN | 169.1 % | 169.1 | 4 de marzo de 2009 |
| Delegación Nuevo León Almacen Delegacional En Nuevo Leon | Nuevo León | 1 | 6,969.2 MXN | 961.3 MXN | 16 % | 2,464.8 | 11 de febrero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| RUIZ ESPARZA ARELLANO GERARDO | 3 | 39.4 MXN | 56.4 % | 169.1 | 2009 - 2010 |
| ARNOLDO VIZCARRA ARELLANO | 2 | 427.5 MXN | 37,026.1 % | 4,931.9 | 2010 - 2010 |
| GRUPO ABASTECEDOR DEL NORTE, S.A. DE C.V. | 2 | 355.9 MXN | 13.5 % | 1,527.4 | 2009 - 2009 |
| F.M. NEGOCIACIONES, S. A. DE C. V. | 1 | 961.3 MXN | 16 % | 2,464.8 | 2011 - 2011 |
| GERARDO RUIZ ESPARZA SALDA?A | 1 | - MXN | - | - | 2010 - 2010 |
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=350.119.1203.00")
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=350.119.1203.00')
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=350.119.1203.00')