The disturbance storm time (Dst) index is a measure in the context of space weather. It gives information about the strength of the ring current around Earth caused by solar protons and electrons.

This Project aims at analyzing the Disturbance storm time(DST) index using a web tool and then making useful insights and visualizations on the DST index over the last several years.It consists of mainly three SubProjects:

• Developing a web-tool plotting DST index

• Developing a Database that allows querying DST index

• Analyzing DST index & generating useful insights and visualizations

Dependencies

• Numpy
• Pandas
• Bokeh

Running

To run the project, perform following steps -

1. Run the Data_Cleaning.ipynb to regenerate the files DST(1975-1999).csv ,DST(2000-2018).csv files & the YearData and Month Data Folders .

2. Run Web_Plotting_Tool.ipynb file to regenerate DST(Time-Series Format).csv & feed in the start & end dates to get a plot of DST Index from start date to end date.

3. Run the command: bokeh serve --show Slider_Year.py, to run the Year Slider User Interactive application. The slider can be slid and the corresponding graph can be viewed and saved.

4. Run the command: bokeh serve --show Drop_Down.py, to Run the Year & Month Drop Down User Interactive application. The year and month options can be selected from the drop down to get the corresponding graph which can be viewed and saved.

5. The Database(Space@DB) is created which can be queried by the command: python Querying_Database.py The output if which can be obtained in file name query_output.csv.

6. Finally, run Analyzing DST Index & Visualizations.ipynb to get various plots and visualizations.