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Description
NUMERO CATALOGO PROVEEDOR= MARCA= ZUZUKEN REFACCION PARA EQUIPO=ELECTROCARDIOGRAFO MODELO= ECG 101
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.156.0695.00
Each circle represents one of the 4 purchases of CABLE DE PACIENTE made by the IMSS between 2010 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 3 | 6,496 MXN | 1,272 MXN | 23.6 % | 0.707 | 29 de septiembre de 2010 |
| Delegación Nayarit Almacen Delegacional En Nayarit | Nayarit | 1 | 1,856 MXN | 56 MXN | 3.11 % | 0.0311 | 3 de septiembre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 2 | 56 MXN | 1.56 % | 0.0311 | 2010 - 2010 |
| MULTI MEDICA, S.A. DE C.V. | 2 | 1,272 MXN | 35.3 % | 0.707 | 2010 - 2010 |
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=379.156.0695.00")
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=379.156.0695.00')
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=379.156.0695.00')