STEP 1
clone the repository onto your local machine
STEP 2
open anaconda prompt
STEP 3
To create a conda environment run the following command on anaconda prompt.
conda create -n eda python=3.7.9
STEP 4
To activate the environment
conda activate eda
STEP 5
Install the necessary libraries
pip install -r requirements.txt
STEP 6
Run the application
streamlit run app.py
STEP 7 (Optional)
Use the dataset called Automobile_data.csv from the repository to view the functioning of comprehensive data analysis. Otherwise due to a large number of rows and columns, the generated reports may take time.
The app can also be viewed using this link, but comprehensive data analysis of larger datasets is not possible due to memory constraints. So it is better to use the above method and run the app through a local machine.
https://share.streamlit.io/charvijindal/automobile_trends/app.py