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.
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={},
}
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
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
cd frontend
npm install
npm audit fix
cd ../backend
npm install
npm audit fix
# 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/