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Description
COLDPAC PARA OJOS (PIEZA.) NÚMERO DE CATÁLOGO: C-1510C2, PARA SU USO EN EL EQUIPO: CLAVE: 531.222.0014 COMPRESAS CALIENTES O FRIAS UNIDAD DE, MARCA: CHATTANOOGA, MODELO: COLPAC C-2. 1 PIEZA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.208.0065.00
Each circle represents one of the 7 purchases of COMPRESA FRIA made by the IMSS between 2012 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 5 | 13,436.7 MXN | 1,635.6 MXN | 14.2 % | 6.87 | 28 de julio de 2018 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 2 | 2,097.3 MXN | 507.1 MXN | 26.1 % | 1.77 | 26 de octubre de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| EQUIPOS INTERFERENCIALES DE MEXICO, S. A. DE C. V. | 3 | 688.3 MXN | 16 % | 4.16 | 2012 - 2015 |
| FLEXUS, SA DE CV | 1 | 203.3 MXN | 16 % | 0.48 | 2018 - 2018 |
| INSTRUMENTOS Y PRODUCTOS BIOMEDICOS DE MEXICO, S.A | 1 | 197.5 MXN | 7.02 % | 0.632 | 2017 - 2017 |
| SERVICIOS MEDICOS Y TECNICOS, S.A. DE C.V. | 1 | 601 MXN | 16 % | 1.92 | 2014 - 2014 |
| TECNO COMERCIAL PAKTLI, S. A. DE C. V. | 1 | 452.7 MXN | 36.2 % | 1.45 | 2017 - 2017 |
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=379.208.0065.00")
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=379.208.0065.00')
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=379.208.0065.00')