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Description
AGFA DRYSTAR TMIB 203 X 25.4CM, NÚMERO DE CATÁLOGO: EKLH1, PARA SU USO EN LA IMPRESORA EN SECO B/N MARCA: AGFA MODELO: DRYSTAR 2000 DEL EQUIPO: CLAVE 531 923 0255 UNIDAD DE ULTRASONIDO
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.687.0404.00
Presentation
CAJA CON 100 PELICULAS.
Each circle represents one of the 27 purchases of PELICULA made by the IMSS between 2009 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California | Baja California | 14 | 117,951.5 MXN | 25,715.4 MXN | 2,908.4 % | 1,962.4 | 9 de septiembre de 2010 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 9 | 288,920.7 MXN | 45,359.2 MXN | 4,658.5 % | 3,156.5 | 1 de enero de 2013 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 3 | 73,601.2 MXN | 73,301.3 MXN | 24,444.3 % | 10,022.2 | 13 de agosto de 2009 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 7,006.4 MXN | 966.4 MXN | 16 % | 1.6 | 6 de noviembre de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CIA. NACIONAL ASOCIADOS, S.A. | 22 | 68,204 MXN | 3,755.8 % | 5,116.8 | 2009 - 2013 |
| RELIABLE DE MEXICO, S. A. DE C. V. | 5 | 77,138.3 MXN | 14,673.2 % | 10,025.8 | 2009 - 2014 |
Entity type
Consumibles de equipos medicos y de laboratorio
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=379.687.0404.00")
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=379.687.0404.00')
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=379.687.0404.00')