Good old Alfred Nobel and his Prizes. Analyses like these have the power to really open the mind. Learn more charting techniques with Plotly, MatPlotLib, and Seaborn and discover some interesting facts about the coveted prizes.

👋 Hi, I’m @WilliamSpanfelner
👀 I’m interested in using Python with Swift in iOS environments and why it may or may not be desirable.
🌱 I’m currently learning Python with the London App Brewery and Angela Yu's 100 Days of Code: The Complete Python Pro Bootcamp for 2022 on Udemy.
🧑‍💻 Clean and make some conversions to the data set. Create a donut chart to visualise the relative percentages of winners by gender; see the number of prizes awarded per category; then see how those categories are divided by gender. Check out the chart images here and for a more detailed look open the Colab Notebook to see the result first hand. Some are quite surprising. Enjoy.
💞️ I’m looking to collaborate on application development.
📫 How to reach me...

Analysing the Nobel_Prize_Analysis_with_Plotly, MatPlotLib, and Seaborn

Name		Name	Last commit message	Last commit date
Latest commit History 26 Commits
README.md		README.md
boxplot.jpg		boxplot.jpg
choropleth.jpg		choropleth.jpg
cumulative_prizes.jpg		cumulative_prizes.jpg
day-78-Nobel_Prize_Analysis.png		day-78-Nobel_Prize_Analysis.png
day_78_Nobel_Prize_Analysis.ipynb		day_78_Nobel_Prize_Analysis.ipynb
donut.jpg		donut.jpg
histplot_2bins.jpg		histplot_2bins.jpg
histplot_8bins.jpg		histplot_8bins.jpg
histplot_default.jpg		histplot_default.jpg
nobel_prize_data.csv		nobel_prize_data.csv
regplot.jpg		regplot.jpg
scatter_2_rolling_ave.jpg		scatter_2_rolling_ave.jpg
scatter_rolling_ave.jpg		scatter_rolling_ave.jpg
stacked_hbar.jpg		stacked_hbar.jpg
sunburst.jpg		sunburst.jpg
top20_birth_cities.jpg		top20_birth_cities.jpg
top20_cities.jpg		top20_cities.jpg
top20_research.jpg		top20_research.jpg
vbar.jpg		vbar.jpg
vbar_gender.jpg		vbar_gender.jpg

WilliamSpanfelner/day-78-Nobel_Prize_Analysis