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RU Data Analytics Bootcamp - Project 2, Group Name: "G.S. Analytics"

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ognjenstrbanovic/Pandemic-Gold-Prices

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Welcome to Ogi's Project 2 README!

Please say hello to: Goldfinger!

Hello! Since I forked the original repository from our group's Tech Lead, Sean W., I wanted to use this forked repo as a description of what I did as part of the "G.S. Analytics" group.

Front-End

My biggest contribution was the following page:

Spanish Flu Page Part 1 Spanish Flu Page Part 2

As you may see, this includes analysis and visualization through the use of the web development trio of tools that we all know well: HTML, CSS, and JavaScript. You may find my Spanish Flu HTML file with this link: https://github.com/ognjenstrbanovic/pandemicgoldprices/blob/master/Ognjen%20Strbanovic/spanish_flu.html. And you may find my short JS file with this link: https://github.com/ognjenstrbanovic/pandemicgoldprices/blob/master/Ognjen%20Strbanovic/renderPlotlyOS.js.

Back-End

I also created my own route in the app.py file so that when I run the Flask server or local host, the data and site render. Here is a code snippet:

app.py screen shot

Other

I created the hypothesis for our group as well; it ended up that we could not reject the 'null hypothesis'...

Null Hypothesis: The statistical correlation between the rise of a global pandemic and an increase in gold prices is less than or equal to zero.
Alternative Hypothesis: The statistical correlation between the rise of a global pandemic and an increase in gold prices is greater than zero.

I also facilitated the analysis of others with a short list of confounding variables for each pandemic. But more importantly, I was a constant facilitator of communication with the group in our Slack channel; and several times, I helped fellow group members with their work over Zoom sessions, particularly with the front-end stack and version control (Git).

Lastly, I had the most commits on the team behind Sean, our designated Tech Lead. I became very comfortable with Git branches after this project.

Thank you for your time in reading this, that is all! Until next time... 🙂