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Description
CANULAS PARA PERFUSION AORTICA. RECTA CALIBRE 14 FR.
IMSS product code
060.167.3882.11
Each circle represents one of the 9 purchases of CÁNULA made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 9 | 182,072.8 MXN | 25,113.5 MXN | 16 % | 8.16 | 24 de diciembre de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SELECCIONES MEDICAS DEL CENTRO. S. A. DE C. V. | 5 | 21,086.3 MXN | 16 % | 7.04 | 2014 - 2018 |
| ARTIMEDICA, S.A. DE C.V. | 3 | 1,851.2 MXN | 16 % | 0.48 | 2014 - 2014 |
| PRODUCTOS MEDICOS PARA LA SALUD, S. A. DE C.V. | 1 | 2,176 MXN | 16 % | 0.64 | 2010 - 2010 |
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
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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=060.167.3882.11")
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=060.167.3882.11')
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=060.167.3882.11')