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Description
CATETERES BIOTOMO PARA BIOPSIA MIOCARDICA, DESECHABLE LONGITUD. 104 CM CALIBRE. 7 FR.
IMSS product code
060.167.9905.03
Each circle represents one of the 50 purchases of CATÉTERES made by the IMSS between 2009 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DURFA, S. A. DE C. V. | 30 | 425,187.6 MXN | 26.5 % | 62.2 | 2009 - 2018 |
| PROMEDICA GARCIA, S. A. DE C. V. | 13 | - MXN | - | - | 2009 - 2015 |
| INSTRUMENTACION BIOMEDICA Y SIST. QUIR., SA CV | 3 | 9,976.5 MXN | 57.5 % | 1.72 | 2009 - 2009 |
| JOHNSON & JOHNSON MEDICAL MEXICO, S. A. DE C. V. | 2 | 13,692.5 MXN | 78.9 % | 2.37 | 2009 - 2009 |
| CEO HEALTH SA DE CV | 1 | 2,948.4 MXN | 12.2 % | 0.244 | 2018 - 2018 |
| VELASCO GARCIA MARIA DE JESUS | 1 | 4,890.5 MXN | 40.8 % | 0.815 | 2010 - 2010 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.167.9905.03")
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=060.167.9905.03')
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=060.167.9905.03')