Section: Qualitative data | Data Visualization on Seaborn | Moodle UM

Section outline

- Collapse Expand
  Definition
  
  Select activity Les données qualitatives, ou catégorielles, sont, ...
  
  What are qualitative data?
  
  Qualitative, or categorical, data, in contrast to quantitative data, refers to all data that are not numbers. This can include strings (for example, names) or booleans (True/False, yes/no, 1/0, etc.).
  
  Qualitative data can also be plotted using the tools seen previously. However, there is an all-in-one tool that makes it easy to switch between different plot styles.
- Collapse Expand
  Catplot
  
  Select activity La fonction catplot() permet de faire différents t...
  
  The catplot() function allows you to create different types of plots:
  
  There are different kinds that we will present:
  
  tips=sns.load_dataset("tips") sns.catplot(tips,x="day", y="total_bill")
  
  sns.catplot(tips,x="day", y="total_bill",kind="swarm")
  
  sns.catplot(tips,x="day", y="total_bill",kind="violin")
  
  sns.catplot(tips,x="day", y="total_bill",kind="box")
  
  sns.catplot(tips,x="day", y="total_bill",kind="boxen")
  
  sns.catplot(tips,x="day", y="total_bill",kind="point")
  
  sns.catplot(tips,x="day", y="total_bill",kind="bar")
  
  sns.catplot(tips,x="day",kind="count")
  
  We can use the parameters of the chosen methods. For example, boxplot() has a fill parameter, so it can be specified in the catplot() function.
  
  sns.catplot(kind="box",data=tips,x="smoker",y="total_bill",fill=False)