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Description
INTRODUCTORES DE CATETER ARTERIAL. CONSTA DE: UNA GUIA METALICA DE 0.035" CON DILATADOR DE VASO, UNA FUNDA O CAMISA CON VALVULA HEMOSTATICA Y PUERTO LATERAL. CALIBRE: 7 FR. ESTERIL Y DESECHABLE. LAS MEDIDAS SERAN SELECCIONADAS DE ACUERDO
IMSS product code
060.527.0560.02
Each circle represents one of the 5 purchases of INTRODUCTORES made by the IMSS between 2011 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 3 | 32,503.2 MXN | 4,483.2 MXN | 16 % | 10.6 | 2 de febrero de 2017 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 2,088 MXN | 288 MXN | 16 % | 0.64 | 29 de marzo de 2011 |
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 1 | 146,020.8 MXN | 20,140.8 MXN | 16 % | 192 | 24 de diciembre de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 2 | 1,843.2 MXN | 16 % | 5.76 | 2012 - 2013 |
| ARROW INTERNACIONAL DE MEXICO, S. A. DE C. V. | 1 | 20,140.8 MXN | 16 % | 192 | 2018 - 2018 |
| LEVBETH MEDICAL, S.A. DE C.V. | 1 | 2,640 MXN | 16 % | 4.8 | 2017 - 2017 |
| MAHO MANTENIMIENTO HOSPITALARIO, S.A. DE C.V. | 1 | 288 MXN | 16 % | 0.64 | 2011 - 2011 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.527.0560.02")
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=060.527.0560.02')
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=060.527.0560.02')