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Description
INJERTOS. INJERTOS BIFURCADOS. DE POLIESTER O DACRON RECUBIERTO DE COLAGENO, ALBUMINA O GELATINA CON ANTIBACTERIANO. LONGITUD TOTAL 50 CM. DIAMETRO AORTICO 12.0 MM. DIAMETRO FEMORAL O ILIACO 6.0 MM.
IMSS product code
060.506.3544.01
Each circle represents one of the 4 purchases of INJERTOS made by the IMSS between 2014 and 2016.
| 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 | 3 | 53,360 MXN | 7,360 MXN | 16 % | 0.64 | 9 de diciembre de 2014 |
| H. de Oncología, Centro Médico Nacional Siglo XXI Umae Oncologia C.m.n. Siglo Xxi | Ciudad de México | 1 | 41,325 MXN | 5,700 MXN | 16 % | 0.48 | 23 de mayo de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEDICAMEX, S. A. DE C. V. | 4 | 13,060 MXN | 16 % | 1.12 | 2014 - 2016 |
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=060.506.3544.01")
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=060.506.3544.01')
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=060.506.3544.01')