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RSATree: Distribution-Aware Data Representation of Large-Scale Tabular Datasets for Flexible Visual Query

RSATree is a novel data representation, which supports flexible approximate query of large-scale tabular datasets and interactive interface in different scenarios. The project is developed by Visual Analytics Group from State Key Lab of CAD&CG, Zhejiang University, China.

Citation

We have written a paper about the research behind RSAtree which was accepted by IEEE VIS 2019, Please cite us if you use it in a publication.

@ARTICLE{8807303, 
    author={H. {Mei} and W. {Chen} and Y. {Wei} and Y. {Hu} and S. {Zhou} and B. {Lin} and Y. {Zhao} and J. {Xia}}, 
    journal={IEEE Transactions on Visualization and Computer Graphics}, 
    title={RSATree: Distribution-Aware Data Representation of Large-Scale Tabular Datasets for Flexible Visual Query}, 
    year={2019}, 
    volume={}, 
    number={}, 
    pages={1-1}, 
    keywords={Visualization;Data visualization;Aggregates;Histograms;Time factors;Visual databases;Social networking (online);Aggregate query;visual query;large-scale data visualization;R-tree;summed area table;hashing}, 
    doi={10.1109/TVCG.2019.2934800}, 
    ISSN={}, 
    month={},
}

Build and Run

We are open two demos about our algorithm.

Our coding environment is ubuntu 18.04 with 32GB RAM, 500GB SSD

C++ version is gcc 7.4.0, node version is v10.16.0, cmake version is 3.10.2

Construct the data structure

First you need to install a library for reading json files

I uses the library from https://github.com/nlohmann/json.git

git clone https://github.com/nlohmann/json.git
cd json
mkdir build
cd build
cmake ..
make -j8
sudo make install

there is a template about how to builld BRIGHTKITE datasets using C++

I have prepared a smaller binary file of BRIGHTKITE in folder ./construct/data

cd construct
mkdir result
mkdir build
bash build.sh
./solveBrightkiteDays
cp result/* ../backend/data/BRIGHTKITE

Install libraries using npm

cd frontend
npm install
npm audit fix 
cd ../backend
npm install
npm audit fix

Run the server

# start frontend 
cd frontend
npm run debug


# then start a new terminal then start backend 
cd backend
npm run start

you will see the website on http://localhost:8081/

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A novel data representation supports flexible approximate query of large-scale tabular datasets

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