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Description
NÚMERO DE CATÁLOGO: 6820930, PARA SU USO EN EL EQUIPO: CLAVE 531 497 0053 INCUBADORA DE TRASLADO, MARCA: FINESA, MODELO: MATERNAL CARE
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.808.1588.00
Presentation
CAJA CON 100 PIEZAS.
Each circle represents one of the 9 purchases of SENSOR DE TEMPERATURA made by the IMSS between 2010 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 5 | 416,701.5 MXN | 72,033.9 MXN | 21.6 % | 6.38 | 16 de noviembre de 2012 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 3 | 107,751.2 MXN | 29,732.5 MXN | 28.5 % | 3.84 | 29 de septiembre de 2010 |
| Delegación Sinaloa | Sinaloa | 1 | 9,628 MXN | - MXN | - | - | 26 de septiembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SERVICIOS MEDICOS Y TECNICOS, S.A. DE C.V. | 3 | 29,732.5 MXN | 28.5 % | 3.84 | 2010 - 2012 |
| DISTRIBUIDORA DE EQUIPO MEDICO E INDUSTRIAL DE MEX | 1 | - MXN | - | - | 2010 - 2010 |
| GM TECNOLOGIA Y SERVICIOS, S.A. DE C.V. | 1 | 14,737.6 MXN | 29.2 % | 1.17 | 2012 - 2012 |
| HERNANDEZ HERNANDEZ MATIAS | 1 | 2,905.5 MXN | 23 % | 0.23 | 2012 - 2012 |
| PEREZ RAMIREZ ROMANA | 1 | 21,609 MXN | 28.5 % | 1.71 | 2012 - 2012 |
| PROMELAB COMERCIALIZADORA, S.A. DE C.V. | 1 | 32,781.8 MXN | 27.3 % | 3.28 | 2011 - 2011 |
| YALIERCP, S.A. DE C.V. | 1 | - MXN | - | - | 2011 - 2011 |
Entity type
Consumibles de equipos medicos y de laboratorio
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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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=379.808.1588.00")
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=379.808.1588.00')
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=379.808.1588.00')