README.md

Data Visualisation -By accepting .csv file from the user using wave UI/Upload

This application allows us to accept the dataset from the user in csv format and visualise data in various ways. Here I used a subset of dataset available in https://www.kaggle.com/dataislife8/credit-card-fraud-detection-visualizations

Running this App Locally

System Requirements

1. Python 3.6+
2. pip3

1. Run the Wave Server

New to H2O Wave? We recommend starting in the documentation to download and run the Wave Server on your local machine. Once the server is up and running you can easily use any Wave app.

2. Setup Your Python Environment

in Windows

git clone https://github.com/KishaniKandasamy/Data-Visualization-with-upload-download
cd Data-Visualization-with-upload-download
python3 -m venv venv
venv\Scripts\activate.bat
pip install -r requirements.txt

3. Configure the App

You need to set your WAVE SDK installation path in config.py

4. Run the App

 wave run myapp

Note! You need activate your virtual environment this will be:

venv\Scripts\activate.bat

5. View the App

Point your favorite web browser to localhost:10101/myapp

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