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Description
NO 4 NÚMERO CATALOGO PROVEEDOR 6-561-104.MARCA FOREGGER, MODELO OMITIDO, REFACCIÓN PARA EQUIPO:ANESTESIA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.614.0246.00
Each circle represents one of the 11 purchases of MASCARILLA made by the IMSS between 2010 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 9 | 4,035.8 MXN | 556.7 MXN | 15 % | 4.64 | 28 de septiembre de 2015 |
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 2 | 4,039.1 MXN | 557.1 MXN | 16 % | 16.5 | 7 de abril de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 4 | 477.4 MXN | 13 % | 11.3 | 2010 - 2017 |
| MULTI MEDICA, S.A. DE C.V. | 2 | 156.2 MXN | 17.3 % | 1.04 | 2010 - 2010 |
| TECNO COMERCIAL PAKTLI, S. A. DE C. V. | 2 | 304.5 MXN | 16.4 % | 2.69 | 2011 - 2013 |
| CHRISTABELLE LARRIVA DIAZ | 1 | 18.9 MXN | 16 % | 0.16 | 2015 - 2015 |
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 1 | 149.8 MXN | 16 % | 5.76 | 2016 - 2016 |
| GRUPO EMEQUR, S.A. DE C.V. | 1 | 7.05 MXN | 16 % | 0.16 | 2014 - 2014 |
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=379.614.0246.00")
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=379.614.0246.00')
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=379.614.0246.00')