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Description
INJERTOS AORTICO VALVULADO BIVALVO, TUBULAR, POROSIDAD CERO CALIBRE 31.
IMSS product code
060.506.2454.02
Each circle represents one of the 12 purchases of INJERTOS made by the IMSS between 2009 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 | 11 | 2.2 millones MXN | 288,096 MXN | 13.1 % | 5.92 | 3 de agosto de 2018 |
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 1 | 346,150 MXN | 56,038.9 MXN | 19.3 % | 1.35 | 1 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SJ MEDICAL MEXICO, S. DE R.L. DE C.V. | 10 | 271,776 MXN | 12.8 % | 5.6 | 2009 - 2017 |
| GAMA COMERCIAL, S. DE R. L. DE C. V. | 1 | 16,320 MXN | 16 % | 0.32 | 2018 - 2018 |
| INTERNATIONAL MEDICAL SERVICE, S. A. DE C. V. | 1 | 56,038.9 MXN | 19.3 % | 1.35 | 2009 - 2009 |
Date updated in QQW
3 de octubre de 2022
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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=060.506.2454.02")
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=060.506.2454.02')
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=060.506.2454.02')