Python for Data Science: Basic Data Visualization Using Seaborn


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Seaborn is a data visualization library that provides a high-level interface for drawing graphs. These graphs are able to convey a lot of information, while also being visually appealing. Explore Seaborn basic plots and aesthetics.



Expected Duration (hours)
1.1

Lesson Objectives

Python for Data Science: Basic Data Visualization Using Seaborn

  • describe what Seaborn is and how it relates to other data science libraries in Python
  • install Seaborn and load a dataset for analysis
  • define and plot the distribution of a single variable using a histogram and kernel density estimate curve
  • configure an univariate distribution's appearance, including color, size, and the components of the plot
  • analyze the relationship between two variables by plotting a bivariate distribution
  • distinguish between scatter plots, hexbin plots, and KDE plots
  • use the Seaborn pair plot to generate a grid to plot the relationship between multiple pairs of variables in your dataset
  • perform a regression analysis on a pair of variables in your dataset by using the Seaborn lmplot
  • describe the basic aesthetic themes and styles available in Seaborn
  • recall some of the use cases and features of Seaborn
  • Course Number:
    it_dspydsdj_05_enus

    Expertise Level
    Intermediate