Data Visualization

• Multi-Purpose Data Visualizer.

• Data sets are taken from INCOIS website. Link to the website : incois.gov.in/portal/index.jsp

• Part of Data Visualization Course Project.

• Data used August 2016 Ocean Data :

  • Scalar Data - Potential Temperature, Salinity, Tropical Heat Potential, Zonal Current Speed, Meridional Current Speed
  • Vector Data - Zonal and Meridional Current Directions

• Command to run the data visualization server - python3 visualization.py

• Access the main page of the project on the following route - http://0.0.0.0:5000/IMT2015042_Project or http://localhost:5000/IMT2015042_Project

• Packages Required for running the Project :

  • flask
  • numpy
  • matplotlib
  • pandas
  • scipy

• Data and Algorithms Used :

  • Data Dimension : 2D & 3D
  • Data Type : Scalar and Vector Data
  • Interpolation Type : Bilinear and Bicubic Interpolation
  • Visualizations : Contour Maps, Elevation Plots and Hedgehog Plots

• Sample Images :

  • Scalar Visualization, Potential Temperature - Bilinear Interpolation - 2D plot - Oranges_r colormap
  • Scalar Visualization, Potential Temperature - Bilinear Interpolation - 3D plot - viridis colormap
  • Vector Visualization, Zonal Current and Meridional Hedgehog Plot - BuPu_r colormap