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Description
INJERTOS. INJERTOS BIFURCADOS. DE POLIESTER O DACRON RECUBIERTO DE COLAGENO, ALBUMINA O GELATINA CON ANTIBACTERIANO. LONGITUD TOTAL 50 CM. DIAMETRO AORTICO 20.0 MM. DIAMETRO FEMORAL O ILIACO 10.0 MM.
IMSS product code
060.506.3593.01
Each circle represents one of the 13 purchases of INJERTOS made by the IMSS between 2013 and 2017.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEDICAMEX, S. A. DE C. V. | 5 | 11,543.4 MXN | 5.44 % | 0.926 | 2015 - 2017 |
| ESTRATEGIA HOSPITALARIA S.A. DE C.V. | 2 | 5,844.8 MXN | 22.9 % | 0.459 | 2015 - 2016 |
| IQ MEDICAL, S. DE R.L. DE C.V. | 2 | 15,657.8 MXN | 54.1 % | 1.08 | 2016 - 2016 |
| CARDIOPACE, S.A. DE C.V. | 1 | 1,157 MXN | 5.62 % | 0.0562 | 2017 - 2017 |
| DISPOSITIVOS MEDICOS Y CATETERES, S.A. DE C.V. | 1 | 4,952.3 MXN | 34.2 % | 0.342 | 2016 - 2016 |
| GAMA COMERCIAL, S. DE R. L. DE C. V. | 1 | 3,120 MXN | 16 % | 0.48 | 2013 - 2013 |
| LEVBETH MEDICAL, S.A. DE C.V. | 1 | 16,577.9 MXN | 80.5 % | 0.805 | 2017 - 2017 |
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=060.506.3593.01")
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=060.506.3593.01')
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=060.506.3593.01')