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Description
MICROCATETER PARA EMBOLIZACION ENDOVASCULAR CEREBRAL Y PERIFERICA CON CUERPO MALLA DE ACERO INOXIDABLE, CUBIERTA HIDROFILICA Y SUPERFICIE INTERNA, DE POLITETRAFLUORETILENO. CALIBRE PROXIMAL/DISTAL 2.8 FR/2.3 FR. DIAMETRO INTERNO
IMSS product code
060.166.3982.01
Each circle represents one of the 4 purchases of CATÉTERES made by the IMSS between 2017 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades Núm 71, Torreón, Coahuila Umae Especialidades Coahuila | Coahuila | 3 | 354,936.8 MXN | 99,184 MXN | 40.1 % | 9.43 | 7 de marzo de 2018 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 1 | 521,610.3 MXN | 21,719 MXN | 4.34 % | 2.09 | 18 de abril de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| JAR MEDICAL, S. A. DE C. V. | 2 | 88,710.5 MXN | 55.3 % | 8.47 | 2017 - 2018 |
| LEVBETH MEDICAL, S.A. DE C.V. | 2 | 32,192.5 MXN | 6.98 % | 3.05 | 2017 - 2018 |
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=060.166.3982.01")
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=060.166.3982.01')
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=060.166.3982.01')