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Description
CANULAS PARA SOPORTE CARDIOVASCULAR DE ARTERIA FEMORAL, CON INTRODUCTOR PERCUTANEO CON TRATAMIENTO DE HEPARINA CALIBRE 20 FR.
IMSS product code
060.166.1119.01
Each circle represents one of the 2 purchases of CÁNULAS made by the IMSS between 2010 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Cardiología, Centro Médico Nacional Siglo XXI Umae Cardiologia C.m.n. Siglo Xxi | Ciudad de México | 1 | 20,184 MXN | 2,784 MXN | 16 % | 0.48 | 4 de junio de 2010 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 1 | 1,645.1 MXN | 226.9 MXN | 16 % | 0.32 | 15 de abril de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEDICAMEX, S. A. DE C. V. | 1 | 226.9 MXN | 16 % | 0.32 | 2016 - 2016 |
| RENTAS Y SERVICIOS DIVERSOS, S. A. DE C. V. | 1 | 2,784 MXN | 16 % | 0.48 | 2010 - 2010 |
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=060.166.1119.01")
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=060.166.1119.01')
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=060.166.1119.01')