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Description
IMPRESION EN SECO 8 X 10 PULGADAS (203 X 25.4 CM ) BASE AZUL, (DT2 B), NÚMERO DE CATÁLOGO: EKL38, PARA SU USO EN EL EQUIPO: CLAVE 531 493 0081 IMPRESORA TERMICA DIRECTA EN SECO BLANCO Y
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.687.1154.00
Presentation
CAJA CON 100 PELICULAS.
Each circle represents one of the 14 purchases of PELICULA made by the IMSS between 2013 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Pediatría, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco. Umae Pediatria Jalisco | Jalisco | 8 | 481,595.6 MXN | 98,945.6 MXN | 20.2 % | 45.3 | 11 de septiembre de 2015 |
| Delegación Colima Almacen Delegacional En Colima | Colima | 3 | 1.3 millones MXN | 92,816.4 MXN | 7.66 % | 40.7 | 18 de mayo de 2018 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 2 | 1.2 millones MXN | 247,873.9 MXN | 29.4 % | 105.6 | 28 de diciembre de 2018 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 26,367.3 MXN | 7,971.1 MXN | 43.3 % | 3.47 | 7 de abril de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| RELIABLE DE MEXICO, S. A. DE C. V. | 7 | 355,611.4 MXN | 21.6 % | 153.4 | 2013 - 2018 |
| PROMEDICA GARCIA, S. A. DE C. V. | 6 | 91,995.6 MXN | 22.6 % | 41.6 | 2013 - 2015 |
| LABZ DISTRIBUIDORA MEDICA, S.A. DE C.V. | 1 | - MXN | - | - | 2018 - 2018 |
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=379.687.1154.00")
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=379.687.1154.00')
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=379.687.1154.00')