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Description
DE SILICON NO 2, CON NÚMERO DE CATÁLOGO: 420155200 MASCARILLA DE SILICON NO, 1, PARA SU USO EN EL EQUIPO CON CLAVE: 531 053 0356 UNIDAD DE ANESTESIA DE ALTA ESPECIALIDAD, MARCA: DATEXOHMEDA, MODELO: ADU
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.614.0667.01
Each circle represents one of the 12 purchases of MASCARILLA made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 3 | 15,554.4 MXN | 313.6 MXN | 1.81 % | 1.79 | 28 de diciembre de 2016 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 2 | 1,202.7 MXN | 570.3 MXN | 92.7 % | 7.42 | 2 de mayo de 2018 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 744.2 MXN | 89.8 MXN | 13.7 % | 1.1 | 22 de junio de 2018 |
| Delegación Colima | Colima | 1 | 341 MXN | 0.0000000000000568 MXN | 0.0000000000000167 % | 0.00000000000000058 | 23 de diciembre de 2010 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 1,740 MXN | 1,092.7 MXN | 168.8 % | 8.44 | 20 de diciembre de 2016 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 1,676.2 MXN | 379.1 MXN | 29.2 % | 4.97 | 31 de marzo de 2017 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 5,289.6 MXN | 729.6 MXN | 16 % | 3.84 | 16 de febrero de 2012 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 3,654 MXN | 2,967.3 MXN | 432.1 % | 38.9 | 26 de octubre de 2017 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 1 | 3,654 MXN | 1,029.9 MXN | 39.2 % | 5.89 | 27 de febrero de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 3 | 1,176 MXN | 21.9 % | 9.63 | 2012 - 2018 |
| TECNO COMERCIAL PAKTLI, S. A. DE C. V. | 2 | - MXN | - | - | 2016 - 2016 |
| AZTEC MEDICA, S.A. DE C.V. | 1 | 313.6 MXN | 5.43 % | 1.79 | 2014 - 2014 |
| BUFFINGTONS DE MEXICO, S. A. DE C. V. | 1 | 0.0000000000000568 MXN | 0.0000000000000167 % | 0.00000000000000058 | 2010 - 2010 |
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 1 | 1,092.7 MXN | 168.8 % | 8.44 | 2016 - 2016 |
| CORTES TAMEZ ROGELIO XAVIER | 1 | 89.8 MXN | 13.7 % | 1.1 | 2018 - 2018 |
| ESQUIVEL UGALDE JOSE ANTONIO | 1 | 2,967.3 MXN | 432.1 % | 38.9 | 2017 - 2017 |
| NEW WORLD TECHNOLOGY S.A. DE C.V. | 1 | 1,029.9 MXN | 39.2 % | 5.89 | 2015 - 2015 |
| OMNINUS, S.A. DE V.C. | 1 | 503.1 MXN | 164.8 % | 6.59 | 2017 - 2017 |
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=379.614.0667.01")
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=379.614.0667.01')
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=379.614.0667.01')