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Description
(TIPO :654697) MARCA BECKMAN, CAJACON 6 ROLLOS, PARA USO ENESPECTOFOTOMETRO, MODELO 42.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.681.0129.00
Each circle represents one of the 7 purchases of PAPEL TERMOSENSIBLE made by the IMSS between 2011 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 4 | 5,608.6 MXN | 449.6 MXN | 12 % | 3.84 | 27 de diciembre de 2017 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 2 | 23,385.6 MXN | 6,182.7 MXN | 41.8 % | 14.8 | 16 de marzo de 2018 |
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 1 | 174 MXN | 24 MXN | 16 % | 0.16 | 28 de septiembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 3 | 345.6 MXN | 10.7 % | 3.36 | 2016 - 2017 |
| CONTROLES GRAFICOS, S.A. DE C.V. | 2 | 1,713.6 MXN | 16 % | 1.44 | 2011 - 2013 |
| APLICACIONES MEDICAS Y TECNOLOGICAS, SA DE CV | 1 | 104 MXN | 16 % | 0.48 | 2015 - 2015 |
| COMERCIALIZADORA MEDICA ARJEJATO S.A. DE C.V. | 1 | 4,493.1 MXN | 67.6 % | 13.5 | 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=379.681.0129.00")
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=379.681.0129.00')
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=379.681.0129.00')