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Description
INJERTOS BIFURCADOS, CORTO, FEMORAL, CON RAMA RENAL O VICERAL ENTRE 20 GRADOS Y 90 GRADOS 20 X 10 RAMA DE 8 MM.
IMSS product code
060.506.1654.12
Each circle represents one of the 3 purchases of INJERTOS made by the IMSS between 2009 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades No. 1, "Lic. Ignacio García Tellez" Mérida, Yucatán. Umae Especialidades Yucatan | Yucatán | 2 | 96,860 MXN | 13,360 MXN | 16 % | 0.48 | 3 de marzo de 2017 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 1 | 17,250 MXN | 2,250 MXN | 15 % | 0.15 | 14 de abril de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEDICAMEX, S. A. DE C. V. | 1 | 2,250 MXN | 15 % | 0.15 | 2009 - 2009 |
| NACIONAL TERAPEUTICA, S.A. DE C.V. | 1 | 8,800 MXN | 16 % | 0.32 | 2017 - 2017 |
| SOLUCIONES INTEGRALES BIOMEDICAS, S.A. DE C.V. | 1 | 4,560 MXN | 16 % | 0.16 | 2016 - 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=060.506.1654.12")
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=060.506.1654.12')
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=060.506.1654.12')