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Description
DE FIBRA DE POLIETILENO DE ALTA DENISIDAD Y PELICULA PLASTICA TRANSPARENTE DE 15 X 42 CM CON INDICADOR QUIMICO PARA ESTERILIZACION MEDIANTE PEROXIDO DE HIDROGENO Y GAS PLASMA A BAJA TEMPERATURA PARA SU USO EN EL
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.100.0304.00
Each circle represents one of the 3 purchases of BOLSA MIXTA made by the IMSS between 2009 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 27,853.9 MXN | 3,841.9 MXN | 16 % | 1.92 | 27 de febrero de 2014 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 6,499.8 MXN | 847.8 MXN | 15 % | 0.15 | 30 de abril de 2009 |
| H. de Gineco Pediatría Núm 48, León Gto. Umae Gineco - Pediatria Guanajuato | Guanajuato | 1 | 10,875 MXN | 1,500 MXN | 16 % | 0.48 | 23 de septiembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ARKANUM, S.A. DE C.V. | 1 | 847.8 MXN | 15 % | 0.15 | 2009 - 2009 |
| DISTRIBUIDORA DE EQUIPO MEDICO E INDUSTRIAL DE MEX | 1 | 1,500 MXN | 16 % | 0.48 | 2011 - 2011 |
| ESPECIALISTAS EN ESTERILIZACION Y ENVASE,S.A.DEC.V | 1 | 3,841.9 MXN | 16 % | 1.92 | 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=379.100.0304.00")
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=379.100.0304.00')
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=379.100.0304.00')