KanjiStrokesAnalysis

Analyzing the Most Frequent Stroke Counts in Kanji.

🎦 Video:

• https://youtu.be/wuXPPO2vNgU

❔ What is it?

• I was interested in what the average complexity of a Kanji, defined by the number of strokes used.
• I have not been able to find any data on this, so I decided to to it myself!
• The results may help visualize how languages balance the number of possible permutations on their characters with the limits of human memory.
• I also wanted to learn some more pandas / matplotlib for data analysis. Was fun!

⚡ Features:

• Analysis of Kanji stroke patterns by overall word frequency!
• Weighs each Kanji by their average use in natural language, then finds the most common stroke counts used in every-day language!
• Graphs! (Bar and Pie right now).
• Finds standard deviation and mean of most common stroke counts!

📦 Modules / Packages:

• numpy: https://numpy.org/devdocs/contents.html
• pandas: https://pandas.pydata.org/pandas-docs/stable/index.html
• re: https://docs.python.org/3/library/re.html
• matplotlib: https://matplotlib.org/
• scipy: https://www.scipy.org/
• math: https://docs.python.org/3/library/math.html
• random: https://docs.python.org/3/library/random.html
• collections: https://docs.python.org/3/library/collections.html

🔨 To do:

• Play around more with plot-fitting. See if you can try to find the mean / std of the plot that was fitted in the video!