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Description
CANULAS PARA PERFUSION AORTICA ANGULADA CALIBRE 8 FR.
IMSS product code
060.166.1051.01
Each circle represents one of the 2 purchases of CÁNULAS made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Nuevo León Almacen Delegacional En Nuevo Leon | Nuevo León | 1 | 20,184 MXN | 2,784 MXN | 16 % | 0.96 | 2 de diciembre de 2011 |
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 1 | 40,353.5 MXN | 5,263.5 MXN | 15 % | 1.65 | 1 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| EDWARDS LIFESCIENCES MEXICO, S. A. DE C. V. | 1 | 2,784 MXN | 16 % | 0.96 | 2011 - 2011 |
| SELECCIONES MEDICAS, S. A. DE C. V. | 1 | 5,263.5 MXN | 15 % | 1.65 | 2009 - 2009 |
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=060.166.1051.01")
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=060.166.1051.01')
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=060.166.1051.01')