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Description
CANULAS PARA SOPORTE CARDIOVASCULAR DE ARTERIA FEMORAL, CON INTRODUCTOR PERCUTANEO CON TRATAMIENTO DE HEPARINA. CALIBRE 19 FR.
IMSS product code
060.166.1101.01
Each circle represents one of the 7 purchases of CÁNULAS made by the IMSS between 2016 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 7 | 68,072.3 MXN | 10,396.4 MXN | 23.5 % | 1.96 | 3 de diciembre de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SELECCIONES MEDICAS DEL CENTRO. S. A. DE C. V. | 4 | 4,026.4 MXN | 12.3 % | 0.814 | 2017 - 2018 |
| IQ MEDICAL, S. DE R.L. DE C.V. | 3 | 6,370 MXN | 38.3 % | 1.15 | 2016 - 2017 |
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=060.166.1101.01")
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=060.166.1101.01')
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=060.166.1101.01')