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Description
AGFA DRYSTAR TS2C 203 X 25.5 CM, NÚMERO DE CATÁLOGO: 6939C4 B, PARA SU USO EN LA IMPRESORA EN SECO B/N Y COLOR MARCA: AGFA, MODELO: DRYSTAR 2000, DEL EQUIPO: CLAVE 531 923 0255 UNIDAD DE
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.687.0438.00
Presentation
CAJA CON 100 PELICULAS.
Each circle represents one of the 3 purchases of PELICULA made by the IMSS between 2012 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 3 | 77,402.5 MXN | 8,447.6 MXN | 12.7 % | 4.87 | 1 de enero de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CIA. NACIONAL ASOCIADOS, S.A. | 2 | 5,687.6 MXN | 11 % | 4.07 | 2012 - 2013 |
| RELIABLE DE MEXICO, S. A. DE C. V. | 1 | 2,760 MXN | 16 % | 0.8 | 2014 - 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=379.687.0438.00")
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=379.687.0438.00')
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=379.687.0438.00')