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Description
BASE AZUL FORMATO 3556 CM X 43.18 CM (14 X 17 PULGADAS), PARA IMPRESORA LASER EN SECO, BLANCO Y NEGRO, MARCA KODAK, MODELO DRYVIEW 5800, NÚMERO DE CATÁLOGO: 119 6740, PARA SU
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.687.1527.00
Presentation
CAJA CON 100 PELICULAS.
Each circle represents one of the 34 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 Yucatán Almacen Delegacional En Yucatan | Yucatán | 7 | 2 millones MXN | 306,115 MXN | 23.2 % | 54.5 | 21 de abril de 2016 |
| H. de Especialidades No. 1, "Lic. Ignacio García Tellez" Mérida, Yucatán. Umae Especialidades Yucatan | Yucatán | 6 | 7.1 millones MXN | 1.2 millones MXN | 25.7 % | 230.7 | 24 de febrero de 2014 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 4 | 2.6 millones MXN | 425,213 MXN | 18.1 % | 68.2 | 3 de abril de 2018 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 3 | 1 millones MXN | 75,926.4 MXN | 10.6 % | 15.2 | 2 de junio de 2014 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 3 | 91,421.3 MXN | - MXN | - | - | 6 de agosto de 2013 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 3 | 869,580.1 MXN | 37,067.8 MXN | 12.5 % | 6.99 | 8 de julio de 2015 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 2 | 3 millones MXN | 366,523.1 MXN | 13.4 % | 69.3 | 13 de mayo de 2015 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 2 | 154,677 MXN | 10,229.9 MXN | 23.1 % | 1.7 | 27 de julio de 2016 |
| Delegación Campeche Almacen Delegacional En Campeche | Campeche | 1 | 149,403.4 MXN | 38,568.3 MXN | 34.8 % | 6.96 | 26 de abril de 2012 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 414,870.8 MXN | - MXN | - | - | 28 de junio de 2016 |
| H. de Especialidades Núm 71, Torreón, Coahuila | Coahuila | 1 | 17,005.9 MXN | - MXN | - | - | 6 de marzo de 2013 |
| H. de Traumatología y Ortopedia, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Traumatologia Y Ortopedia Puebla | Puebla | 1 | 43,268.5 MXN | 5,890.8 MXN | 15.8 % | 1.1 | 29 de agosto de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ESEOTRES, S.A. DE C.V. | 5 | 403,292.6 MXN | 9.79 % | 80.5 | 2013 - 2014 |
| IMAGENES DEL POTOSI, S. DE R.L. DE C.V. | 5 | 12,687.6 MXN | 0.458 % | 2.29 | 2012 - 2016 |
| CLINILABS DISTRIBUCIONES CIENTIFICAS, S.A. DE C.V. | 4 | 831,702.8 MXN | 27.5 % | 157.1 | 2013 - 2014 |
| EQUIPOS GENERAL MEDICA, S.A. DE C.V. | 4 | 425,213 MXN | 18.1 % | 68.2 | 2015 - 2018 |
| HEALTH TECHNOLOGIES & SOLUTIONS. S. DE C.V. DE R.L | 4 | 59,022.5 MXN | 22 % | 9.98 | 2015 - 2016 |
| TECHNODOMUS, S. A. DE C. V. | 4 | 94,603.9 MXN | 15.3 % | 18.5 | 2013 - 2015 |
| DISTRIBUIDORA MEDICA LUNA, S.A. DE C.V. | 2 | 18,956 MXN | 10.6 % | 3.71 | 2013 - 2014 |
| REPRESENTACIONES MEDICAS RADIOLOGICAS DEL NORTE, S | 2 | 366,523.1 MXN | 13.4 % | 69.3 | 2014 - 2015 |
| ABASTECEDORA COMERCIAL ALBATROS, S.A. DE C.V. | 1 | 117,393.9 MXN | 32.5 % | 19.5 | 2016 - 2016 |
| MIGUEL ANGEL ROSADO MADERA | 1 | 56,639.6 MXN | 56.8 % | 10.2 | 2012 - 2012 |
| PROFESSIONAL PHARMACY, S.A. DE C.V. | 1 | 45,729.8 MXN | 27.5 % | 8.25 | 2012 - 2012 |
| VEULENT DE MEXICO SA DE CV | 1 | 38,568.3 MXN | 34.8 % | 6.96 | 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=379.687.1527.00")
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=379.687.1527.00')
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=379.687.1527.00')