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Description
NUMERO CATALOGO PROVEEDOR= MARCA= LOGOS REFACCION PARA EQUIPO= ELECTROCARDIOGRAFO MODELO= 8821
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.156.0968.00
Each circle represents one of the 2 purchases of CABLE DE PACIENTE made by the IMSS between 2010 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 2 | 39,414.5 MXN | 5,436.5 MXN | 16 % | 2.08 | 1 de enero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIALIZADORA GLAVS, S.A. DE C.V. | 1 | 1,020.5 MXN | 16 % | 0.16 | 2010 - 2010 |
| SERVICIOS MEDICOS Y TECNICOS, S.A. DE C.V. | 1 | 4,416 MXN | 16 % | 1.92 | 2011 - 2011 |
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=379.156.0968.00")
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=379.156.0968.00')
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=379.156.0968.00')