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Description
VINILO COLPAC 8 X 28 CM, NÚMERO DE CATÁLOGO: C-1502C2, 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
379.208.0024.00
Each circle represents one of the 14 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 | 6 | 13,850 MXN | 2,119.4 MXN | 15.5 % | 11 | 1 de agosto de 2018 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 5 | 2,056.4 MXN | 355.1 MXN | 17.6 % | 2.15 | 15 de agosto de 2018 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 3 | 1,642.6 MXN | 193.2 MXN | 12.8 % | 1.15 | 10 de septiembre de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| VILLANUEVA PONCE MIGUEL ANGEL | 5 | 355.1 MXN | 17.6 % | 2.15 | 2014 - 2018 |
| RODRIGUEZ SANTIAGO LAURA | 3 | 558.9 MXN | 16.9 % | 3.36 | 2016 - 2017 |
| EQUIPOS INTERFERENCIALES DE MEXICO, S. A. DE C. V. | 2 | 570.5 MXN | 16 % | 3.84 | 2012 - 2013 |
| CDCPHARMA, S.A. DE C.V. | 1 | 11.8 MXN | 3.51 % | 0.0702 | 2016 - 2016 |
| COMERCIALIZADORA INTEG. MED. HOSPIT., SA DE CV | 1 | 877.7 MXN | 29 % | 2.9 | 2018 - 2018 |
| CORPORATIVO MEDIREC S.A. DE C.V. | 1 | - MXN | - | - | 2018 - 2018 |
| COVARRUBIAS MONTEMAYOR EDGAR | 1 | 293.7 MXN | 16.1 % | 1.93 | 2014 - 2014 |
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=379.208.0024.00")
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=379.208.0024.00')
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=379.208.0024.00')