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Description
CATETER CON BALON PARA BLOQUEAR LA UNION URETERO PIELICA CAL 5 FR LONG 75 CM CON OBTURADOR DE 0.028".
IMSS product code
060.167.7891.10
Each circle represents one of the 10 purchases of CATÉTERES made by the IMSS between 2008 and 2015.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 5 | 35,910.6 MXN | 15.2 % | 27.4 | 2008 - 2010 |
| DISTRIBUIDORA DE EQ. MEDICO ESPECIALIZADO, SA CV | 1 | 6,305.1 MXN | 14.5 % | 3.92 | 2011 - 2011 |
| DISTRIBUIDORA MORA ESPECIALISTA EN EQUIPO MEDICO, | 1 | 2,996.3 MXN | 33.8 % | 1.35 | 2015 - 2015 |
| ESCAMILLA ZENTENO AURORA | 1 | 4,195 MXN | 16 % | 1.92 | 2013 - 2013 |
| GRUPO EMEQUR, S.A. DE C.V. | 1 | 1,612.7 MXN | 8.09 % | 0.728 | 2015 - 2015 |
| HOSPI MEDICAL, S. A. DE C. V. | 1 | 3,720 MXN | 19.3 % | 2.32 | 2011 - 2011 |
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=060.167.7891.10")
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=060.167.7891.10')
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=060.167.7891.10')