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Description
INJERTOS AORTICO VALVULADO BIVALVO, TUBULAR, POROSIDAD CERO. CALIBRE. 27.
IMSS product code
060.506.2439.02
Each circle represents one of the 31 purchases of INJERTOS 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. | 26 | 595,107.1 MXN | 21.1 % | 14.5 | 2009 - 2017 |
| BIOMEDICA DE MEXICO, S.A. DE C.V. | 2 | - MXN | - | - | 2013 - 2013 |
| GAMA COMERCIAL, S. DE R. L. DE C. V. | 1 | 18,320 MXN | 18.3 % | 0.366 | 2018 - 2018 |
| MR MULTISERVICIOS MEDICOS SA DE CV | 1 | - MXN | - | - | 2017 - 2017 |
| VISORA MEDICA SA DE CV | 1 | 13,680 MXN | 13.7 % | 0.274 | 2018 - 2018 |
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=060.506.2439.02")
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=060.506.2439.02')
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=060.506.2439.02')