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Description
Compra Emergente
IMSS product code
060.841.0858.11
Each circle represents one of the 23 purchases of SUTURAS made by the IMSS between 2009 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California | Baja California | 6 | 7,961.9 MXN | 1,151.3 MXN | 21.9 % | 2.92 | 18 de noviembre de 2010 |
| Delegación Coahuila | Coahuila | 6 | 10,146.1 MXN | 701.8 MXN | 10.1 % | 1.78 | 24 de enero de 2011 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 5 | 12,516.4 MXN | 2,795.8 MXN | 26.1 % | 7.09 | 25 de noviembre de 2010 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 2 | 2,871 MXN | 899.1 MXN | 78.7 % | 2.28 | 22 de diciembre de 2010 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 3,685 MXN | 994.1 MXN | 36.9 % | 1.85 | 24 de marzo de 2009 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 671.4 MXN | 277 MXN | 70.2 % | 0.702 | 29 de octubre de 2010 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 1 | 3,712 MXN | 512 MXN | 16 % | 0.32 | 30 de julio de 2014 |
| Oficinas Centrales Almacen De Programas Especiales Y Red Fria | 1 | 2,601.4 MXN | 358.8 MXN | 16 % | 3.2 | 2 de noviembre de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INSTRUMENTACION BIOMEDICA Y SIST. QUIR., SA CV | 4 | 1,473.3 MXN | 18.7 % | 3.74 | 2010 - 2010 |
| RCA MEDICAL S.A. DE C.V.. | 3 | - MXN | - | - | 2010 - 2010 |
| CHEMICAL EXPRESS, S.A. DE C.V. | 2 | 914.3 MXN | 58.3 % | 2.32 | 2010 - 2010 |
| GUTIERREZ PORTILLO MARIA ESPERANZA | 2 | - MXN | - | - | 2009 - 2009 |
| RIOS MALDONADO MIGUEL | 2 | - MXN | - | - | 2009 - 2010 |
| DURFA, S. A. DE C. V. | 1 | 512 MXN | 16 % | 0.32 | 2014 - 2014 |
| EL CIRUJANO, S.A DE C.V | 1 | - MXN | - | - | 2011 - 2011 |
| ESPARZA LUEVANO JUAN MANUEL | 1 | 64.5 MXN | 14.1 % | 0.164 | 2010 - 2010 |
| GONZALEZ FLORES CARLOS ALBERTO | 1 | - MXN | - | - | 2010 - 2010 |
| INSTRUMENTACION Y EQUIPOS MEDICOS, S. DE R.L. DE C | 1 | 994.1 MXN | 36.9 % | 1.85 | 2009 - 2009 |
| LABORATORIOS SERRAL, S.A. DE C.V. | 1 | 358.8 MXN | 16 % | 3.2 | 2015 - 2015 |
| MAYOREO MEDICO DEL NOROESTE, S.A. DE C.V. | 1 | 371.3 MXN | 23.5 % | 0.941 | 2010 - 2010 |
| PROMEDICA GARCIA, S. A. DE C. V. | 1 | 1,322.5 MXN | 55.9 % | 3.35 | 2010 - 2010 |
| PROVEEDORA HOSPITALARIA DE AGUA PRIETA S.A DE C.V | 1 | 527.8 MXN | 133.8 % | 1.34 | 2010 - 2010 |
| TIBA MEDICA, S. A. DE C. V. | 1 | 1,151.3 MXN | 131.5 % | 2.92 | 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=060.841.0858.11")
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=060.841.0858.11')
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=060.841.0858.11')