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Description
PLEGADO EN "Z" GRAFICADO COLOR NARANJA DIMENSIONES 50MMX30MM NÚMERO DE CATÁLOGO: FQ S50-3-100, PARA USO EN EL EQUIPO: DEFIBRILADORMONITOR, CLAVE: 531 286 0215, MARCA: NIHON KODHEN, MODELO: TEC. PIEZA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.681.2281.00
Each circle represents one of the 5 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 Morelos Almacen Delegacional En Morelos | Morelos | 3 | 2,669.2 MXN | 395.1 MXN | 89.7 % | 6.05 | 17 de septiembre de 2018 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 3,377.9 MXN | 439 MXN | 14.9 % | 31.1 | 22 de junio de 2018 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 946.6 MXN | 130.6 MXN | 16 % | 1.28 | 10 de abril de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 2 | 791 MXN | 15.5 % | 34.6 | 2016 - 2018 |
| ASESORIA Y APLICACIONES MEDICAS SA DE CV | 1 | 9.6 MXN | 16 % | 0.16 | 2017 - 2017 |
| CASA PLARRE, S.A. DE C.V. | 1 | 130.6 MXN | 16 % | 1.28 | 2014 - 2014 |
| INGENIERIA BIOMEDICA PARA LA SALUD, S.A. DE C.V. | 1 | 33.5 MXN | 237 % | 2.37 | 2018 - 2018 |
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=379.681.2281.00")
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=379.681.2281.00')
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=379.681.2281.00')