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Description
BASE AZUL FORMATO 25 CM X 30 CM (10 X 12 PULGADAS), PARA IMPRESORA LASER EN SECO, BLANCO Y NEGRO MARCA KODAK, MODELO DRYVIEW 5800, NÚMERO DE CATÁLOGO: 841 4666, PARA SU USO EN EQUIPO
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.687.1493.00
Presentation
CAJA CON 100 PELICULAS.
Each circle represents one of the 17 purchases of PELICULA made by the IMSS between 2012 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades No. 1, "Lic. Ignacio García Tellez" Mérida, Yucatán. Umae Especialidades Yucatan | Yucatán | 6 | 2.8 millones MXN | 366,844 MXN | 25.6 % | 156.7 | 24 de febrero de 2014 |
| H. de Pediatría, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco. Umae Pediatria Jalisco | Jalisco | 5 | 2.2 millones MXN | 298,293.2 MXN | 15 % | 89 | 30 de noviembre de 2018 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 3 | 166,678.7 MXN | 30,581.7 MXN | 24.9 % | 9.43 | 3 de abril de 2018 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 3 | 476,101.7 MXN | 79,110.9 MXN | 19.4 % | 34 | 2 de junio de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| IMADINE, S.A. DE C.V. | 5 | 298,293.2 MXN | 15 % | 89 | 2016 - 2018 |
| CLINILABS DISTRIBUCIONES CIENTIFICAS, S.A. DE C.V. | 4 | 200,237 MXN | 31.1 % | 88.6 | 2013 - 2014 |
| ESEOTRES, S.A. DE C.V. | 4 | 219,958.5 MXN | 17.8 % | 90.9 | 2013 - 2014 |
| EQUIPOS GENERAL MEDICA, S.A. DE C.V. | 3 | 30,581.7 MXN | 24.9 % | 9.43 | 2016 - 2018 |
| PROFESSIONAL PHARMACY, S.A. DE C.V. | 1 | 25,759.4 MXN | 16 % | 11.2 | 2012 - 2012 |
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=379.687.1493.00")
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=379.687.1493.00')
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=379.687.1493.00')