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Description
IMPRESION EN SECO 14 X 17 PULGADAS ( 35 X 43 CM) BASE AZUL (DT2 B), NÚMERO DE CATÁLOGO: EKL9M, PARA SU USO EN EL EQUIPO: CLAVE 531 493 0081 IMPRESORA TERMICA DIRECTA EN SECO BLANCO Y NEGRO
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.687.1105.00
Presentation
CAJA CON 100 PELICULAS.
Each circle represents one of the 25 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 |
|---|---|---|---|---|---|---|---|
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 14 | 1 millones MXN | 160,559.5 MXN | 18.8 % | 36.2 | 22 de agosto de 2018 |
| Delegación Sinaloa | Sinaloa | 9 | 53,477.6 MXN | 2,972.9 MXN | 7.04 % | 0.735 | 10 de diciembre de 2015 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 1.3 millones MXN | 204,837.6 MXN | 18.1 % | 34.8 | 13 de enero de 2012 |
| H. de Pediatría, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco. Umae Pediatria Jalisco | Jalisco | 1 | 190,560.8 MXN | 6,172.4 MXN | 3.35 % | 1.31 | 30 de noviembre de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| RELIABLE DE MEXICO, S. A. DE C. V. | 13 | 140,293.3 MXN | 19.1 % | 30.8 | 2014 - 2018 |
| DISTRIBUIDORA GOBA DE QUERETARO, S.A DE C.V | 6 | - MXN | - | - | 2015 - 2015 |
| PROMAEDIX, S DE RL DE CV | 3 | 21,896.3 MXN | 16 % | 5.74 | 2012 - 2013 |
| CONTROL SCIENTIFIC, S.A. DE C.V. | 1 | 204,837.6 MXN | 18.1 % | 34.8 | 2012 - 2012 |
| IMADINE, S.A. DE C.V. | 1 | 6,172.4 MXN | 3.35 % | 1.31 | 2018 - 2018 |
| IMAGYMED, S.A. DE C.V. | 1 | 1,342.9 MXN | 30.4 % | 0.352 | 2013 - 2013 |
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=379.687.1105.00")
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=379.687.1105.00')
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=379.687.1105.00')