FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches https://doi.org/10.1109/TVCG.2022.3141040
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#!/usr/bin/env python
import sys
import pandas as pd
import pymongo
import json
import os
def import_content(filepath):
mng_client = pymongo.MongoClient('localhost', 27017)
mng_db = mng_client['mydb']
#collection_name = 'StanceCTest'
collection_name = 'VehicleC'
db_cm = mng_db[collection_name]
cdir = os.path.dirname(__file__)
file_res = os.path.join(cdir, filepath)
data = pd.read_csv(file_res)
data_json = json.loads(data.to_json(orient='records'))
if __name__ == "__main__":
filepath = '/Users/anchaa/Documents/Research/FeatureEnVi_code/extra_data_sets/vehicle.csv'