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Description
NO 2 NÚMERO CATALOGO PROVEEDOR 43425, MARCA BIRD MARK, MODELO 4-7-810, REFACCIÓN PARA EQUIPO: RESPIRADOR.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.614.0014.00
Each circle represents one of the 17 purchases of MASCARILLA made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 7 | 6,115.6 MXN | 398.9 MXN | 6.96 % | 4.78 | 26 de enero de 2015 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 2 | 3,874.4 MXN | 1,951.9 MXN | 97.8 % | 46.6 | 10 de junio de 2015 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 2 | 4,124 MXN | 1,917.5 MXN | 68.7 % | 16.5 | 21 de febrero de 2011 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 2 | 9,528.2 MXN | 1,472.1 MXN | 18.8 % | 22.8 | 1 de enero de 2013 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 5,230.1 MXN | 721.4 MXN | 16 % | 18.1 | 22 de junio de 2018 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 1,682.4 MXN | - MXN | - | - | 28 de septiembre de 2009 |
| Delegación Sonora | Sonora | 1 | 609 MXN | - MXN | - | - | 30 de octubre de 2014 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 1 | 263.9 MXN | 94.7 MXN | 56 % | 0.56 | 2 de febrero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 2 | 920.5 MXN | 21.6 % | 10.2 | 2011 - 2011 |
| DISTRIBUIDORA MEDICO TECNICA LA UNION, S.A. DE C. | 2 | 1,917.5 MXN | 68.7 % | 16.5 | 2009 - 2011 |
| ORTO-PAC, S.A. DE C.V. | 2 | 159.7 MXN | 10.4 % | 2.09 | 2009 - 2012 |
| AZTEC MEDICA, S.A. DE C.V. | 1 | 354.7 MXN | 91.5 % | 9.15 | 2015 - 2015 |
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 1 | - MXN | - | - | 2014 - 2014 |
| CORREA AYALA GEORGINA | 1 | 94.7 MXN | 56 % | 0.56 | 2010 - 2010 |
| CRUZ TOLEDO MARIA DEL CARMEN | 1 | 23.8 MXN | 6.22 % | 0.311 | 2012 - 2012 |
| HOSPITECNICA, S. A. DE C. V. | 1 | 767 MXN | 16 % | 15 | 2013 - 2013 |
| LITO MEDICAL S.A. DE C.V. | 1 | 1,597.2 MXN | 104.1 % | 37.5 | 2014 - 2014 |
| MEDICA AVANZADA, S. A. DE C. V. | 1 | - MXN | - | - | 2014 - 2014 |
| MULTI MEDICA, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| NEW WORLD TECHNOLOGY S.A. DE C.V. | 1 | - MXN | - | - | 2015 - 2015 |
| PLAZA MEDICA JALISCO, S.A DE C.V. | 1 | 721.4 MXN | 16 % | 18.1 | 2018 - 2018 |
| SERVICIOS INTEGRALES DE APOYO MEDICOS, SA DE CV | 1 | - MXN | - | - | 2009 - 2009 |
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=379.614.0014.00")
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=379.614.0014.00')
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=379.614.0014.00')