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Description
TUBO ENDOTRAQUEAL, DE PLASTICO, GRADO MEDICO, CON MARCARADIOPACA, ESTERIL, DESE CHA-BLE, CON GLOBO DE ALTO VOLU-MEN Y BAJA PRESION; INCLUYEUNA VALVULA, UN CON ECTOR YUNA ESCALA EN MM PARA DETER-MINAR LA PROFUNDIDAD DE LACOLOCACION DEL
IMSS product code
060.168.2537.07
Each circle represents one of the 21 purchases of TUBOS made by the IMSS between 2009 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Guerrero | Guerrero | 10 | 8,684.8 MXN | 3,661.5 MXN | 274.3 % | 63.1 | 30 de junio de 2009 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 5 | 1,269.9 MXN | 366.4 MXN | 38.5 % | 14.6 | 10 de diciembre de 2013 |
| Delegación Baja California | Baja California | 1 | 266.4 MXN | 57.9 MXN | 27.8 % | 3.08 | 6 de octubre de 2010 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 1,753.9 MXN | 176.3 MXN | 11.2 % | 9.39 | 13 de abril de 2010 |
| Delegación Quintana Roo | Quintana Roo | 1 | 33.3 MXN | 12.5 MXN | 59.9 % | 0.665 | 24 de junio de 2010 |
| Delegación Sinaloa | Sinaloa | 1 | 24.4 MXN | 2.57 MXN | 11.8 % | 0.137 | 6 de enero de 2010 |
| Delegación Tamaulipas | Tamaulipas | 1 | 793.5 MXN | - MXN | - | - | 19 de octubre de 2009 |
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 1 | 1,102 MXN | 17.9 MXN | 1.65 % | 0.824 | 10 de diciembre de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| VALLE CASTILLO ABEL | 5 | 3,661.5 MXN | 548.6 % | 63.1 | 2009 - 2009 |
| DE LEON TRINIDAD MARIA JANET | 3 | - MXN | - | - | 2009 - 2009 |
| LARA GARCIA ADRIANA | 2 | - MXN | - | - | 2009 - 2009 |
| RD GRUPO MEDICO, S.A. DE C.V. | 2 | 79.8 MXN | 46.6 % | 2.59 | 2011 - 2011 |
| ABASTECEDOR HOSPITALARIO DE CANCUN, S.A. DE C.V. | 1 | 12.5 MXN | 59.9 % | 0.665 | 2010 - 2010 |
| AVISA MEDICAL, S.A. DE C.V. | 1 | 176.3 MXN | 11.2 % | 9.39 | 2010 - 2010 |
| COMERCIAL ALPRO, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| COMERCIAL HOSPITALARIA S.A DE C.V. | 1 | 85.9 MXN | 27.8 % | 2.78 | 2011 - 2011 |
| COMERCIAL QUIMICA DEL NOROESTE, S.A. DE C.V. | 1 | 200.7 MXN | 71.2 % | 9.26 | 2013 - 2013 |
| COMETA MERCANTIL, S.A. DE C.V. | 1 | 2.57 MXN | 11.8 % | 0.137 | 2010 - 2010 |
| DIAGNOSTICA COMERCIAL, S.A. DE C.V. | 1 | - MXN | - | - | 2011 - 2011 |
| GRUPO MORAVI, S.A. DE C.V. | 1 | 17.9 MXN | 1.65 % | 0.824 | 2013 - 2013 |
| TIBA MEDICA, S. A. DE C. V. | 1 | 57.9 MXN | 27.8 % | 3.08 | 2010 - 2010 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.168.2537.07")
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=060.168.2537.07')
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=060.168.2537.07')