Seaborn Python Tutorial - Part 1

Pubblicato il: 13 novembre 2019
sul canale di: Yiannis Pitsillides

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Seaborn Python Tutorial 2020. 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.

Support the channel on Patreon:
  / data360yp

Data Analytics Course Link:
http://ipidata.teachable.com/

In the first video of the series, I cover extensively LinePlots, BarPlots and Histograms.

Part 1 Link:    • Seaborn Python Tutorial - Part 1
Part 2 Link: TBC
Part 3 Link: TBC

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

How to download and install Python through Anaconda:
   • How to Download PYTHON for FREE

Data Analytics Course Link: http://ipidata.teachable.com/

Download the raw data & the Python Notebook:
https://github.com/Pitsillides91/Pyth...

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