Statistical Data Analysis Automation

This project serves as a proof of concept for statistical data analysis automatization. The project uses Python and GoodData.CN. To understand what this project is about please first read this short article .

Installation and Usage

1. Install and Run GoodData.CN

If you don't already have an instance of GoodData.CN up and running on your system.

Follow these steps:

1. Run the GoodData.CN docker image using the following command:

   docker run -d -i -t -e LICENSE_AND_PRIVACY_POLICY_ACCEPTED=YES -p 3000:3000 -p 5432:5432 -v gd-volume:/data gooddata/gooddata-cn-ce:2.1

   After few minutes your GoodData.CN will be ready.

2. Access your GoodData.CN deployment using your internet browser. The URL is http://localhost:3000, where you should see the login page.

3. Log in using the following credentials:

   • Email Address = [email protected]
   • Password = demo123
   • Token (for REST APIs or Python SDK) = YWRtaW46Ym9vdHN0cmFwOmFkbWluMTIz

For more information you may check out docker hub.

2. Prepare Your Python Environment

We recommend you prepare a virtual environment and install all requirements there. If you want to use your existing Python requirement, feel free to skip to Step 3.

Follow these steps:

1. Create Python virtual environment:

   python -m venv .venv

2. Activate the Python virtual environment:

   source .venv/bin/activate

3. Install Python requirements:

   python -m pip install -r requirements.txt

3. Get Started

If you're new to GoodData.CN, we recommend you take a look at some videos on GoodData Developers YouTube channel, have quick run through the GoodData University GoodData.CN course, or just explore it on your own. :)

For checking proof of concept run the main.py script:

python main.py

Please note that receiving data from GoodData.CN and checking assumptions may take some time.

For example on MacBook Pro (14-inch, 2021) with Python 3.10.8

CPU	Apple M1 Pro
RAM	32 GB

It took us 1 minute 5 seconds. :)