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Description
DE 50MM NÚMERO DE CATÁLOGO: 74205, PARA SU USO EN EL EQUIPO MEDICO: CLAVE 531 053 0372 UNIDAD DE ANESTESIA INTERMEDIA, MARCA: DATEX OHMEDA, MODELO: S/5 AVANCE. CAJA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.681.1630.00
Each circle represents one of the 4 purchases of PAPEL TERMICO made by the IMSS between 2014 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 2 | 18,792 MXN | 2,545.8 MXN | 15.7 % | 6.91 | 22 de octubre de 2015 |
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 1 | 1,044 MXN | 190.2 MXN | 22.3 % | 0.445 | 3 de octubre de 2014 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 1 | 4,732.8 MXN | 652.8 MXN | 16 % | 0.96 | 9 de julio de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 1 | 960 MXN | 16 % | 3.2 | 2015 - 2015 |
| ITM INTERNACIONAL DE TECNOLOGIAS MEDICAS S.A. DE C | 1 | 1,585.8 MXN | 15.5 % | 3.71 | 2014 - 2014 |
| NUMEFARM, S. DE R. L. DE C. V. | 1 | 652.8 MXN | 16 % | 0.96 | 2018 - 2018 |
| SERVICIOS MEDICOS Y TECNICOS, S.A. DE C.V. | 1 | 190.2 MXN | 22.3 % | 0.445 | 2014 - 2014 |
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=379.681.1630.00")
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=379.681.1630.00')
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=379.681.1630.00')