PI2: End-to-end Interactive Visualization Interface Generation from Queries

Give me your task query, I will give you an interactive interface app!

Interactive visualization interfaces (or simply interfaces) are critical in nearly every stage of data management—including data cleaning, wrangling, modeling, exploration and communication. It requires considerable expertise and trial-and-error to design and implement an interface. PI2 is a system which helps you automatically generate interactive visualization from SQL queries - the PI2 paper and the demo paper or Natural Language queries - the NL2INTERFACE paper. It helps designers help designers more quickly and effectively translate analysis tasks into interfaces.

Project Page

DEMO (Sound On)

PI2.demo.It.is.more.preferable.to.turn.sound.on.mp4

Environment Setup

Install conda: https://docs.conda.io/en/latest/miniconda.html

Create conda environment:

  conda create -n pi --override-channels --strict-channel-priority -c conda-forge -c nodefaults jupyterlab=3 cookiecutter nodejs jupyter-packaging git
  conda activate pi

In src/pi-client, run:

npm install .
npm run build
npm run build-library
jlpm link

In src/pi-jupyter, run:

npm install .
jlpm link pi-client
jlpm run build
jlpm run watch
(press <ctrl-c> to kill `jlpm run watch` when observe "webpack xxx compiled successfully")

In src/pi-server, run:
```
pip install -r requirements.txt
```
Optional: Set up OpenAI API key to enable natural language queries.
```
export OPENAI_APIKEY="YOUR_OPENAPI_API_KEY"
```

Run PI2

You can choose to try using PI2 on a webpage or in a jupyter notebook setting. The default database is located at examples/pi.db.

Run web demo

To run the web demo, start a server locally and visit https://localhost:8000/

cd pi-server
python server.py

You can type in queries and PI2 will generate interfaces. examples/logs lists some example queies for your reference.

For convenience, try these queries.

select mpg, disp from cars2 where hp between 50 and 60
select mpg, disp from cars2 where hp between 40 and 200
select mpg, disp from (SELECT * FROM cars2 WHERE orig='USA') where hp between 40 and 200
select mpg, disp from (SELECT * FROM cars2 WHERE orig='Japan') where hp between 40 and 200
select hp, count(*) from cars2 group by hp

Run Jupyter Lab

To run PI with jupyter lab, you need to start two terminal windows.

In one terminal, start the PI server.

cd pi-server
python server.py

In the other terminal, start the jupyter lab server.

# under PI root folder
jupyter lab

You can try the jupyter demo examples/covid_demo.ipynb or type in your own queries.

Troubleshot

If the Cell Toolbars block the checkboxes for generating interface, edit Jupyter configuration to delete the toolbar buttons. The configuration file is typically located at ~/miniconda3/envs/pi/share/jupyter/lab/schemas/@jupyterlab/cell-toolbar-extension/plugin.json.

Change

"Cell": [
  {
    "name": "duplicate-cell",
    "command": "notebook:duplicate-below"
  },
  { "name": "move-cell-up", "command": "notebook:move-cell-up" },
  { "name": "move-cell-down", "command": "notebook:move-cell-down" },
  {
    "name": "insert-cell-above",
    "command": "notebook:insert-cell-above"
  },
  {
    "name": "insert-cell-below",
    "command": "notebook:insert-cell-below"
  },
  {
    "command": "notebook:delete-cell",
    "icon": "ui-components:delete",
    "name": "delete-cell"
  }
]

"Cell": [
]

Paper and Citation

Yiru Chen, and Eugene Wu. "PI2: End-to-end interactive visualization interface generation from queries." Proceedings of the 2022 International Conference on Management of Data. 2022.
Yiru Chen, Ryan Li, Austin Mac, Tianbao Xie, Tao Yu and Eugene Wu. “NL2INTERFACE: Interactive Visualization Interface Generation from Natural Language Queries.” IEEE Visualization Conference NLVIZ Workshop, 2022
Jeffrey Tao, Yiru Chen, and Eugene Wu. "Demonstration of PI2: Interactive visualization interface generation for sql analysis in notebook." Proceedings of the 2022 International Conference on Management of Data. 2022.
Yiru Chen, and Eugene Wu. “Monte Carlo Tree Search for Generating Interactive Data Analysis Interfaces.” Proceedings of the AAAI-20 Workshop on Intelligent Process Automation. 2020

LanLi2017 / PI2