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Description
VINILO COLPAC CUELLO 58 CM, NÚMERO DE CATÁLOGO: C-1508C6, PARA SU USO EN EL EQUIPO: CLAVE: 531.222.0014 COMPRESAS CALIENTES O FRIAS UNIDAD DE, MARCA: CHATTANOOGA, MODELO: COLPAC C-6. 1 PIEZA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.208.0198.00
Each circle represents one of the 8 purchases of COMPRESA FRIA made by the IMSS between 2014 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 4 | 6,385.7 MXN | 880.3 MXN | 16 % | 1.92 | 10 de septiembre de 2018 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 3 | 12,706.4 MXN | 1,753.1 MXN | 16 % | 6.08 | 15 de agosto de 2016 |
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 1 | 1,990.6 MXN | 274.6 MXN | 16 % | 0.96 | 12 de marzo de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| VILLANUEVA PONCE MIGUEL ANGEL | 3 | 1,112.4 MXN | 16 % | 3.84 | 2014 - 2016 |
| RODRIGUEZ SANTIAGO LAURA | 2 | 287.7 MXN | 16 % | 0.958 | 2016 - 2016 |
| CDCPHARMA, S.A. DE C.V. | 1 | 915.2 MXN | 16 % | 3.2 | 2015 - 2015 |
| CORPORATIVO MEDIREC S.A. DE C.V. | 1 | 115.2 MXN | 16 % | 0.32 | 2018 - 2018 |
| SERVICIOS MEDICOS Y TECNICOS, S.A. DE C.V. | 1 | 477.4 MXN | 16 % | 0.64 | 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=379.208.0198.00")
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=379.208.0198.00')
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=379.208.0198.00')