Skip to content

douglaswchung/data-visualization-practice

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits

LICENSE

LICENSE

 
 

README.md

README.md

 
 

bivariate_plotting_pandas.ipynb

bivariate_plotting_pandas.ipynb

 
 

faceting_plotting_seaborn.ipynb

faceting_plotting_seaborn.ipynb

 
 

multivariate_plotting_seaborn.ipynb

multivariate_plotting_seaborn.ipynb

 
 

plot_styling_pyplot_seaborn.ipynb

plot_styling_pyplot_seaborn.ipynb

 
 

plotly_practice.ipynb

plotly_practice.ipynb

 
 

plotnine_practice.ipynb

plotnine_practice.ipynb

 
 

pyplot_subplots.ipynb

pyplot_subplots.ipynb

 
 

seaborn_uni_bivariate_plotting.ipynb

seaborn_uni_bivariate_plotting.ipynb

 
 

time_series_plotting.ipynb

time_series_plotting.ipynb

 
 

univariate_plotting_pandas.ipynb

univariate_plotting_pandas.ipynb

 
 

Repository files navigation

data-visualization-practice

Visualisation is one of the most versatile skills in data science. Make insightful and beautiful graphics to see what's happening in any dataset.

https://www.kaggle.com/learn/data-visualisation

Based on Kaggle exercise authored by Aleksey Bilogur.

About

No description or website provided.

Topics

time-series heatmap plotly seaborn autocorrelation stacked-bar pyplot nyse bitcoin-blockchain violinplot facet-grid wine-reviews-dataset bivariate-line kde-plot austin-animal-outcomes plotnine fifa-18-player-dataset multivariate-scatterplot grouped-boxplot pairplot

Resources

Readme

License

MIT license
Activity

Stars

0 stars

Watchers

2 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages