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Description
NÚMERO CATÁLOGO PROVEEDOR: 214 MARCA: EMERSON REFACCIÓN PARA EQUIPO: RESUCITADOR.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.614.0428.00
Each circle represents one of the 40 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 Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 33 | 253,665.7 MXN | 93,665.5 MXN | 260.7 % | 629.3 | 15 de agosto de 2016 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 4 | 2,317.9 MXN | 637.7 MXN | 23.7 % | 11.4 | 26 de enero de 2015 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 2,242.5 MXN | 559.1 MXN | 33.2 % | 9.96 | 30 de mayo de 2009 |
| H. de Traumatología y Ortopedia, Lomas Verdes Umae Traumatologia Y Ortopedia Lomas Verdes | Estado de México | 1 | 1,064.9 MXN | 9.21 MXN | 0.873 % | 0.0873 | 7 de octubre de 2013 |
| H. General, "Dr. Gaudencio González Garza" Centro Médico Nacional La Raza Umae Hospital General C.m.n. La Raza | Ciudad de México | 1 | 9,860 MXN | 1,360 MXN | 16 % | 2.72 | 1 de agosto de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 5 | 2,272 MXN | 28.8 % | 43.7 | 2009 - 2016 |
| CESAR PATRICIO ALVA MARTINEZ | 5 | 1,132.9 MXN | 11.3 % | 22.7 | 2009 - 2010 |
| MIRANDA DUE?AS MANUEL ANGEL | 5 | 19,071.6 MXN | 403.6 % | 84.7 | 2011 - 2011 |
| SUMINISTRO MEDICO AVANZADO S.DE R.L. DE C.V. | 5 | 639.4 MXN | 3.34 % | 6.86 | 2012 - 2013 |
| NEW WORLD TECHNOLOGY S.A. DE C.V. | 3 | 6,912 MXN | 10.7 % | 64 | 2014 - 2015 |
| DEGASA, S. A. DE C. V. | 2 | 8,485.1 MXN | 407.7 % | 146.6 | 2011 - 2012 |
| INSTRUMENTOS Y ACCESORIOS AUTOMATIZADOS, S.A. DE C | 2 | 608 MXN | 8.34 % | 10.8 | 2009 - 2009 |
| MEDICAMEX, S. A. DE C. V. | 2 | 32,547.9 MXN | 1,445.2 % | 144.5 | 2011 - 2011 |
| PROMEJUSA S.A. DE C.V. | 2 | - MXN | - | - | 2012 - 2012 |
| TOQUINTO JURADO VICTOR JAVIER | 2 | 18,067.1 MXN | 1,337 % | 80.2 | 2011 - 2011 |
| ALMA ROSA HERNANDEZ TERAN | 1 | - MXN | - | - | 2011 - 2011 |
| AZTEC MEDICA, S.A. DE C.V. | 1 | 4,909.8 MXN | 18.2 % | 45.5 | 2015 - 2015 |
| CHAVEZ RODRIGUEZ MARIA MAGDALENA | 1 | - MXN | - | - | 2011 - 2011 |
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 1 | 1,360 MXN | 16 % | 2.72 | 2018 - 2018 |
| DEL CASTILLO AMARO MIGUEL ANGEL | 1 | - MXN | - | - | 2011 - 2011 |
| FARMACIA ALIANZA, S.A. DE C.V. | 1 | 216.6 MXN | 48.1 % | 0.962 | 2011 - 2011 |
| PEDRAZA GARCIA RAFAEL | 1 | 9.21 MXN | 0.873 % | 0.0873 | 2013 - 2013 |
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=379.614.0428.00")
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=379.614.0428.00')
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=379.614.0428.00')