For any data scientist, machine learning engineer or a statistician; the most important step is understanding the data. To achieve that, mastering some visualization tools will make this task easier and enjoyable.
In this repository, I am collecting some basic notebooks for different visualizations' APIs. I am also linking helpful tutorials.
1- Plotly
is an interactive, open-source, browse-base graphing library for python. Plotly is very well documented. Plotly notebook includes all sorts of plots.
Install the needed resources in jupyter notebook using the following:
!pip install plotly
!pip install cufflink
!pip install seaborn
!pip install pandas
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