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Box_plots.ipynb		Box_plots.ipynb
Data_analysis_project_4.ipynb		Data_analysis_project_4.ipynb
L5 - Distributions (histograms & KDE).ipynb		L5 - Distributions (histograms & KDE).ipynb
L6 - Choosing plot types and custom styles.ipynb		L6 - Choosing plot types and custom styles.ipynb
L7 - Final project.ipynb		L7 - Final project.ipynb
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choosing-plot-types-and-custom-styles.ipynb		choosing-plot-types-and-custom-styles.ipynb
readme.md		readme.md

readme.md

Day 18 of #100DaysOfCode

Task

Data Visualization on Seaborn
Data analysis

Resources

kaggle Data Visualization Course
- Chapter 5: Distributions (Histograms & KDE plots) - My Notebook
- Chapter 6: Choosing plot types and custom styles - My Notebook
- Chapter 7: Final Project - My Notebook
Box Plots in Seaborn by @akshay_pachaar Tweet, StatQuest with Josh Starmer - Boxplots are Awesome Video and Seaborn boxplot docs
FreeCodeCamp Data Analysis with Python project 4 Page View Time Series Analyzer

Topics I have learnt

Seaborn

Histograms
KDE plots
Custom plot styles in Seaborn & Choosing right plot for the situation

Data Analysis

Kaggle's Data Visualization course Final project upon Drug Classification
FreeCodeCamp's Data Analysis with Python project 4

Software used

Jupyter Notebook
Python 3.10.2
Numpy 1.22.4
pandas 1.4.2
matplotlib 3.5.2
seaborn 0.11.2

My Notebooks

Conclusion:

Today I learned how to plot Histograms, KDE plots and how to choose right plot based upon data and changing seaborn styles. Also did data analysis on FCC's Page View Time Series Visualizer project and some on Drug Classification dataset.