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Description
VINILO COLPAC CUELLO 58 CM, PARA SU USO EN EL EQUIPO: CLAVE: 531.222.0014 COMPRESAS CALIENTES O FRIAS UNIDAD DE, MARCA: CHATTANOOGA, MODELO: COLPAC C-5. 1 PIEZA. NÚMERO DE CATÁLOGO: C-1508C5. PIEZA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.208.0123.00
Each circle represents one of the 7 purchases of COMPRESA FRIA made by the IMSS between 2013 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 6 | 26,685.8 MXN | 4,549.2 MXN | 20 % | 10.4 | 21 de febrero de 2018 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 2,919.5 MXN | - MXN | - | - | 15 de agosto de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SERVICIOS MEDICOS Y TECNICOS, S.A. DE C.V. | 2 | 2,026 MXN | 27.9 % | 4.78 | 2014 - 2016 |
| VILLANUEVA PONCE MIGUEL ANGEL | 2 | 228.8 MXN | 8 % | 0.8 | 2013 - 2016 |
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 1 | 720 MXN | 16 % | 1.6 | 2017 - 2017 |
| DISTRIBUIDORA ESPEC. DE MEDICAMENTOS KM, SA DE CV | 1 | 494.4 MXN | 16 % | 1.6 | 2015 - 2015 |
| TECNO COMERCIAL PAKTLI, S. A. DE C. V. | 1 | 1,080 MXN | 16 % | 1.6 | 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=379.208.0123.00")
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=379.208.0123.00')
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=379.208.0123.00')