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DATA1050_DanTheBest

This project concerns the weather on Mars. Our goal is to make visualizations and predictions of temperature and pressure on Mars. We make predictions using Vector Autoregression (VAR) Time Series on max and min temperature along with pressure. For visualization, we make graph of wind rose and line graph. Line graph shows the confidence interval of the prediction. Users can use sliders to check the visualizations of a specific date. For reproductivity purpose, we show the versions of packages we are using:

  • Dash: 1.7.0
  • Matplotlib: 3.1.2
  • Numpy: 1.17.4
  • Pandas: 0.25.3
  • Plotly: 4.4.1
  • Pymongo: 3.10.0
  • Requests: 2.22.0
  • Notebook: 6.0.2
  • Statsmodels: 0.10.2
  • Dash_dangerously_set_inner_html: 0.0.2
  • Dash_renderer: 1.2.2
  • Dash-core-components: 1.6.0
  • Dash-html-components: 1.0.2
  • Dash-table: 4.5.1

Work is done by the following:

  • Guanzhong Chen
  • Cangcheng Tang
  • Jiayuan Tian
  • Zhujun Shen

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Data Engineering Project that builds time series model on weather on Mars with Web demo by Guanzhong's group from Data 1050 class at Brown University.

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  • Python 77.5%
  • JavaScript 17.5%
  • Jupyter Notebook 4.5%
  • C 0.3%
  • C++ 0.1%
  • HTML 0.1%