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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
379.687.1071.00
Presentation
CAJA CON 100 PELICULAS.
Each circle represents one of the 17 purchases of PELICULA made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Colima | Colima | 7 | 149,363.3 MXN | 8,183.7 MXN | 5.84 % | 1.42 | 11 de abril de 2017 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 5 | 80,267.9 MXN | 10,381.9 MXN | 16.1 % | 2.4 | 28 de junio de 2016 |
| Delegación Colima Almacen Delegacional En Colima | Colima | 4 | 3.8 millones MXN | 518,501.2 MXN | 15.5 % | 98.9 | 18 de mayo de 2018 |
| Delegación Coahuila | Coahuila | 1 | 18,560 MXN | - MXN | - | - | 29 de noviembre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GARCIA GARCIA JOSE GILBERTO | 7 | 8,183.7 MXN | 5.84 % | 1.42 | 2016 - 2017 |
| RELIABLE DE MEXICO, S. A. DE C. V. | 6 | 328,353 MXN | 10.9 % | 58.3 | 2009 - 2017 |
| COMERCIALIZADORA MEDICA ALVASAN S.A DE C.V. | 2 | 5,082.8 MXN | 23.4 % | 1.17 | 2011 - 2011 |
| AZTEC MEDICA, S.A. DE C.V. | 1 | 40,964 MXN | 14.5 % | 7.24 | 2016 - 2016 |
| LABZ DISTRIBUIDORA MEDICA, S.A. DE C.V. | 1 | 154,483.2 MXN | 16 % | 34.6 | 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=379.687.1071.00")
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=379.687.1071.00')
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=379.687.1071.00')