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Description
Endoprótesis torácica segmento proximal con accesorios. Estéril. Diámetro: 46 x 46 mm Longitud: 112 mm
Classification
Material médico. Material de curacion
IMSS product code
060.748.6677.00
Presentation
Pieza
Each circle represents one of the 2 purchases of SISTEMA DE ENDOPRÓTESIS PARA TRATAMIENTO DE ANEURISMAS made by the IMSS between 2018 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 2 | 794,600 MXN | 109,600 MXN | 16 % | 0.32 | 10 de diciembre de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| LEVBETH MEDICAL, S.A. DE C.V. | 1 | 5,500 MXN | 1.61 % | 0.0161 | 2018 - 2018 |
| MEDICAMEX, S. A. DE C. V. | 1 | 104,100 MXN | 30.4 % | 0.304 | 2018 - 2018 |
Entity type
Material de curacion
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=060.748.6677.00")
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=060.748.6677.00')
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=060.748.6677.00')