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Description
CATETER PARA CANULACION POR VIA RETROGRADA, CALIBRE 6 FR, CON PUNTA AHUSADA CALIBRE 5 FR Y 100 CM DE LONGITUD TOTAL ESTERIL Y DESECHABLE.
IMSS product code
060.165.0229.01
Each circle represents one of the 7 purchases of CATÉTERES made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 3 | 49,937.9 MXN | 6,851 MXN | 15.5 % | 9.87 | 25 de febrero de 2011 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 2 | 20,371.8 MXN | 2,720.5 MXN | 15.4 % | 3.39 | 17 de febrero de 2010 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 1,948.8 MXN | 326.9 MXN | 20.2 % | 0.403 | 29 de junio de 2010 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 3,643.2 MXN | 475.2 MXN | 15 % | 0.6 | 3 de febrero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ENDOMEDICA,S. A. DE C. V. | 5 | 9,805.6 MXN | 15.5 % | 13.6 | 2009 - 2011 |
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 1 | 326.9 MXN | 20.2 % | 0.403 | 2010 - 2010 |
| MORA HERMILO DAVID | 1 | 241.1 MXN | 14.9 % | 0.297 | 2010 - 2010 |
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.
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=060.165.0229.01")
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=060.165.0229.01')
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=060.165.0229.01')