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Description
CATETER PARA EXTRACCION DE CALCULOS DE VIAS BILIARES, CON DOBLE LUMEN, CALIBRE 6.8 A 7.0 FR, CON PUNTA DISTAL DE 5 A 7 FR Y 200 A 210 CM DE LONGITUD. ESTERIL Y DESECHABLE. BALON: 11.5 A 15 ML. LAS MEDIDAS DEL CATETER SERAN SELECCIONADAS
IMSS product code
060.165.0021.02
Each circle represents one of the 15 purchases of CATÉTERES made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 2 | 69,732.1 MXN | 23,399.1 MXN | 102.4 % | 9.64 | 3 de febrero de 2017 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 2 | 7,812.8 MXN | 3,063.6 MXN | 64.5 % | 1.29 | 12 de junio de 2015 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 2 | 13,863.9 MXN | 1,912.3 MXN | 16 % | 0.48 | 1 de diciembre de 2010 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 2 | 83,041.2 MXN | 7,159.8 MXN | 11.3 % | 2.57 | 7 de marzo de 2018 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 2 | 26,413.1 MXN | 1,504 MXN | 4.64 % | 0.836 | 18 de marzo de 2015 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 2 | 25,949.7 MXN | 3,579.3 MXN | 16.5 % | 2.08 | 19 de diciembre de 2011 | |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 279,328 MXN | 29,688.6 MXN | 11.9 % | 13.3 | 20 de febrero de 2016 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 1 | 6,483.1 MXN | 246.9 MXN | 3.96 % | 0.0792 | 11 de septiembre de 2017 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 51,182.4 MXN | 7,996.8 MXN | 18.5 % | 4.44 | 6 de febrero de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ENDOMEDICA,S. A. DE C. V. | 5 | 20,924.6 MXN | 14.3 % | 9.02 | 2011 - 2018 |
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 3 | 34,777.8 MXN | 27.4 % | 15.6 | 2015 - 2016 |
| SOLUMEDI, S.A. DE C.V. | 2 | 1,912.3 MXN | 16 % | 0.48 | 2010 - 2010 |
| DISTRIBUIDORA MORA ESPECIALISTA EN EQUIPO MEDICO, | 1 | - MXN | - | - | 2015 - 2015 |
| ESTRATEGIA HOSPITALARIA S.A. DE C.V. | 1 | 1,552.2 MXN | 65.4 % | 0.654 | 2015 - 2015 |
| HOSPI MEDICAL, S. A. DE C. V. | 1 | 1,218 MXN | 17.7 % | 0.708 | 2011 - 2011 |
| MORA HERMILO DAVID | 1 | 1,504 MXN | 9.29 % | 0.836 | 2013 - 2013 |
| TOTAL FARMA, S.A. DE C.V. | 1 | 16,661.4 MXN | 186.9 % | 7.48 | 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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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=060.165.0021.02")
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=060.165.0021.02')
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=060.165.0021.02')