Data Visualization With Seaborn

sns.set_style("dark")
# "darkgrid", "whitegrid", "dark", "white", and "ticks"

plt.figure(figsize=(12,6))
# controls the output size

scatterplot

• just plot the data points between x and y (columns)

regplot

• with one regression line with hue column (categorical eg. yes/no)

lmplot

• 2 regression lines with hue column (categorical eg. yes/no)

swarmplot

• x = categorical, y = values (to decide on one over the other in x)

histplot

• histogram (categorical) - args (x, data, hue)

kdeplot

• smoothened histplot (shade=True) 

jointplot

• 2d kde plot

==*References ==

![[Pasted image 20250924124206.png]]

![[Pasted image 20250924123721.png]]