Mastering Data Visualisation With Matplotlib and Seaborn in Python | Data Science Complete Tutorial
Data Visualization : Beginner To Advanced in 1 Hour : Data Science Complete Tutorial (Day 4/101)
In this beginner to advanced data visualisation tutorial, we'll cover everything you need to know in just 1 hour. Perfect for those looking to dive into data science!
0:00 Introduction to Matplotlib
1:27 Need of Data Visualisation
4:55 How To Install Matplotlib in Windows
5:28 How To Create Line Plot With Matplotlib
9:32 How To Create Scatter Plot With Matplotlib
12:07 How To Create Bar Plot With Matplotlib
16:48 How To Create Histogram With Matplotlib
19:46 Customising Matplotlib Elements
20:00 Change Colors of markers or line and other elements in Matplotlib
21:10 Change Label and Titles and other elements in Matplotlib
22:14 Change Legends and other elements in Matplotlib
24:27 Change Axis Limits and Grids in Matplotlib
25:20 Change Annotations in Matplotlib
26:30 Complete Plot With Matplotlib
29:18 Introduction To Seaborn
30:35 Install Seaborn in Windows
31:30 How To Create Box plot or Whisker Plot with Seaborn
33:10 How To Create Violin Plot with Seaborn
35:47 How To Create Swarm Plot with Seaborn
38:05 How To Create Facet Grid Plot with Seaborn
40:25 How To Create Pair Plot with Seaborn
43:29 How To Create 3D Plot with Seaborn
#datascience #datavisualisation #python