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Description
CATETER PARA EXTRACCION DE CALCULOS DE VIAS BILIARES, CON DOBLE VIA. LONGITUD. 200 CM CALIBRE. 6.8 FR BALON. 2 ML.
IMSS product code
060.167.6471.12
Each circle represents one of the 10 purchases of CÁNULAS made by the IMSS between 2015 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 4 | 24,649.3 MXN | 1,847.5 MXN | 6.49 % | 0.449 | 20 de diciembre de 2016 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 4 | 67,885.5 MXN | 12,258.8 MXN | 22.6 % | 3.09 | 13 de junio de 2016 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 2 | 13,542.8 MXN | 1,868 MXN | 15.9 % | 0.48 | 13 de septiembre de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DISPOSITIVOS MEDICOS Y CATETERES, S.A. DE C.V. | 3 | 9,252.5 MXN | 23.3 % | 2.27 | 2015 - 2016 |
| ENDOMEDICA,S. A. DE C. V. | 3 | 1,868 MXN | 10.6 % | 0.48 | 2015 - 2018 |
| ESTRATEGIA HOSPITALARIA S.A. DE C.V. | 2 | 258.2 MXN | 3.52 % | 0.0704 | 2015 - 2016 |
| GOPY MEDICAL S.A DE C.V. | 1 | 3,006.4 MXN | 20.5 % | 0.819 | 2015 - 2015 |
| RUIZ RODRIGUEZ ELENA | 1 | 1,589.3 MXN | 18.9 % | 0.378 | 2016 - 2016 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.167.6471.12")
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=060.167.6471.12')
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=060.167.6471.12')