Seaborn Scatter Plot - Seaborn Boxplot - Regression Plot

Learn how to use Seaborn to visualize and analyse your data in Python. Learn when to use which plot and why; depending what you are trying to achieve. Additionally, learn how to interpret the results you see in your plot. In the first video of the series, I cover extensively ScatterPlots, Boxplots and Regression Plots.

Part 1 Link:
Part 2 Link: TBC
Part 3 Link: TBC

Tutorial Overview:
What is Seaborn and how/why it's used
Trend Plots:
Line Plots
Summary Plots:
Bar Plots
Distribution of Data:
Histogram
Box Plots
Relationship Plots:
Scatter Plots
lmplot (combo of regplot() and FacetGrid)
Holistic views / Combo:
Sub Plots
Pair Plots
Join Plots
Correlation / Relationships:
Heat Map

How to download and install Python through Anaconda:


Data Analytics Course Link:
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Download the raw data & the Python Notebook:


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