Data-Analysis-COVID-19

Data Analysis COVID-19

What inspired us

We were inspired by the recent concern over the COVID-19 virus and wanted to analyse the data to see how its been affecting people over the world. We wanted to use this data to gain information on its impact and potential future harm.

What we learnt

We learnt how to analyse data using .csv files and implementing Julia Packages on Jupyter Notebook to generate bar and line graphs relevant to the global spread of the virus.

How we built

We primarily used the Plots and DataFrame Packages and functions such as groupby and filter to sort the data to create meaningful results.

Challenges

We faced challenged regarding trying to animate the graphs and including a world map showing all the cases. While we were not able to do these, we still made a variety of plots that were able to convey the general message.

The link where we used the data for the current Corona virus confirmed cases: https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset#2019_nCoV_data.csv

Built With

• csv
• html
• julia
• jupyter-notebook