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Description
PARA UNIDADES DENTALES.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.604.0065.00
Each circle represents one of the 25 purchases of MANGUERA made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Cardiología, Centro Médico Nacional Siglo XXI Umae Cardiologia C.m.n. Siglo Xxi | Ciudad de México | 8 | 130,988 MXN | 85,479.6 MXN | 125.2 % | 143 | 10 de julio de 2018 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 6 | 24,738.8 MXN | 6,830.5 MXN | 64.1 % | 15.1 | 28 de abril de 2015 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 3 | 1,624 MXN | - MXN | - | - | 16 de marzo de 2017 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 2 | 777.2 MXN | 59.2 MXN | 8 % | 1.6 | 4 de noviembre de 2015 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 2 | 2,372.2 MXN | - MXN | - | - | 10 de julio de 2012 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 2 | 1,032.4 MXN | 46.4 MXN | 8 % | 0.16 | 25 de mayo de 2012 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 21,349.7 MXN | 1,470.5 MXN | 7.4 % | 3.77 | 24 de noviembre de 2015 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 890.9 MXN | - MXN | - | - | 8 de agosto de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 3 | 1,355.4 MXN | 80.9 % | 9.41 | 2012 - 2015 |
| DISTRIBUIDORA DE EQUIPO MEDICO E INDUSTRIAL DE MEX | 3 | 5,475.1 MXN | 47.3 % | 5.68 | 2009 - 2011 |
| DISTRIBUIDORA MEDICO TECNICA LA UNION, S.A. DE C. | 3 | 59.2 MXN | 5.33 % | 1.6 | 2012 - 2015 |
| SERVICIOS MEDICOS Y TECNICOS, S.A. DE C.V. | 3 | 46.4 MXN | 5.33 % | 0.16 | 2010 - 2014 |
| CALDERON MORALES ALBERTO | 2 | 70,734 MXN | 153.8 % | 86.1 | 2011 - 2011 |
| ESQUIVEL UGALDE JOSE ANTONIO | 2 | - MXN | - | - | 2016 - 2017 |
| GONZALEZ ALFARO XOCHITL ALEJANDRA | 2 | 5,587.2 MXN | 163.2 % | 16.5 | 2014 - 2015 |
| MEDICA VAL, S. A. DE C. V. | 2 | 5,926.3 MXN | 58.1 % | 14.6 | 2016 - 2018 |
| G MEDICA, S.A. DE C.V. | 1 | - MXN | - | - | 2011 - 2011 |
| IDEA MEDICA HOSPITALARIA, S.A. DE C.V. | 1 | 686.9 MXN | 192.3 % | 19.2 | 2017 - 2017 |
| INALMEDICA, S.A. DE C.V. | 1 | 1,470.5 MXN | 7.4 % | 3.77 | 2015 - 2015 |
| INSTRUMENTOS Y PRODUCTOS BIOMEDICOS DE MEXICO, S.A | 1 | 2,545.3 MXN | 59.4 % | 6.53 | 2015 - 2015 |
| MULTI MEDICA, S.A. DE C.V. | 1 | - MXN | - | - | 2011 - 2011 |
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=379.604.0065.00")
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=379.604.0065.00')
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=379.604.0065.00')