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Description
PROTESIS VALVULAR CARDIACA MECANICA, AORTICA BIVALVA, DE CARBON PIROLITA CAL. 18 O 19.
IMSS product code
060.932.5865.02
Each circle represents one of the 91 purchases of PRÓTESIS VALVULARES CARDÍACAS made by the IMSS between 2009 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SJ MEDICAL MEXICO, S. DE R.L. DE C.V. | 68 | 845,025.9 MXN | 12.2 % | 71.3 | 2009 - 2018 |
| INTERNATIONAL MEDICAL SERVICE, S. A. DE C. V. | 11 | 102,246.8 MXN | 14.2 % | 8.37 | 2009 - 2009 |
| VISORA MEDICA SA DE CV | 6 | 210,742.4 MXN | 17.6 % | 17.6 | 2014 - 2018 |
| BIOMEDICAL GLOBE, S.A. DE C.V. | 4 | 135,551.5 MXN | 59.2 % | 11 | 2016 - 2017 |
| DISTRIBUIDORA INTERNACIONAL RALMO S.A. DE C.V. | 1 | 72,186.8 MXN | 60.6 % | 6.06 | 2018 - 2018 |
| ESPECIALISTAS EN APLICACIONES Y SOPORTE TECNICO ME | 1 | 7,665.7 MXN | 59.6 % | 0.596 | 2016 - 2016 |
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=060.932.5865.02")
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=060.932.5865.02')
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=060.932.5865.02')