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Description
PROTESIS VALVULAR CARDIACA MECANICA, MITRAL BIVALVA, DE CARBON PIROLITA CAL 31.
IMSS product code
060.932.6004.02
Each circle represents one of the 117 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. | 90 | 878,848.3 MXN | 14.2 % | 76 | 2009 - 2018 |
| INTERNATIONAL MEDICAL SERVICE, S. A. DE C. V. | 9 | 106,633.2 MXN | 11.3 % | 8.62 | 2009 - 2009 |
| BIOMEDICAL GLOBE, S.A. DE C.V. | 8 | 410,095.4 MXN | 38.8 % | 29.7 | 2016 - 2017 |
| VISORA MEDICA SA DE CV | 6 | 60,053.6 MXN | 11.4 % | 5.11 | 2014 - 2018 |
| DISTRIBUIDORA INTERNACIONAL RALMO S.A. DE C.V. | 2 | 148,154.7 MXN | 46.5 % | 11.5 | 2018 - 2018 |
| ESPECIALISTAS EN APLICACIONES Y SOPORTE TECNICO ME | 1 | 22,961.9 MXN | 38.8 % | 1.55 | 2016 - 2016 |
| GRUPO EJECUTIVO MILENIUM, S. A. DE C. V. | 1 | - MXN | - | - | 2012 - 2012 |
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=060.932.6004.02")
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=060.932.6004.02')
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=060.932.6004.02')