Contenido del Curso
Deep Dive into the seaborn Visualization
Deep Dive into the seaborn Visualization
Histplot
The distributions module contains several functions designed to answer questions such as these. The axes-level functions are histplot
, kdeplot
, ecdfplot
, and rugplot
. They are grouped together within the figure-level displot
function.
A histplot
is a classic visualization tool that represents the distribution of one or more variables by counting the number of observations that fall within discrete bins.
Click the slider to view possible arguments for the plot!
Don't forget to return back after exploring the dataset!
Note
Use
plt.show()
to display the plot.
Tarea
- Create the histplot using the
seaborn
library:
- Set the
x
parameter equals the'bill_length_mm'
; - Set the
hue
parameter equals the'island'
; - Set the
element
parameter equals the'step'
; - Set the
stat
parameter equals the'density'
; - Set the
binwidth
parameter equals1
; - Set the
'flare'
palette; - Use the
df
data for the plot; - Display the plot.
¡Gracias por tus comentarios!
Histplot
The distributions module contains several functions designed to answer questions such as these. The axes-level functions are histplot
, kdeplot
, ecdfplot
, and rugplot
. They are grouped together within the figure-level displot
function.
A histplot
is a classic visualization tool that represents the distribution of one or more variables by counting the number of observations that fall within discrete bins.
Click the slider to view possible arguments for the plot!
Don't forget to return back after exploring the dataset!
Note
Use
plt.show()
to display the plot.
Tarea
- Create the histplot using the
seaborn
library:
- Set the
x
parameter equals the'bill_length_mm'
; - Set the
hue
parameter equals the'island'
; - Set the
element
parameter equals the'step'
; - Set the
stat
parameter equals the'density'
; - Set the
binwidth
parameter equals1
; - Set the
'flare'
palette; - Use the
df
data for the plot; - Display the plot.
¡Gracias por tus comentarios!
Histplot
The distributions module contains several functions designed to answer questions such as these. The axes-level functions are histplot
, kdeplot
, ecdfplot
, and rugplot
. They are grouped together within the figure-level displot
function.
A histplot
is a classic visualization tool that represents the distribution of one or more variables by counting the number of observations that fall within discrete bins.
Click the slider to view possible arguments for the plot!
Don't forget to return back after exploring the dataset!
Note
Use
plt.show()
to display the plot.
Tarea
- Create the histplot using the
seaborn
library:
- Set the
x
parameter equals the'bill_length_mm'
; - Set the
hue
parameter equals the'island'
; - Set the
element
parameter equals the'step'
; - Set the
stat
parameter equals the'density'
; - Set the
binwidth
parameter equals1
; - Set the
'flare'
palette; - Use the
df
data for the plot; - Display the plot.
¡Gracias por tus comentarios!
The distributions module contains several functions designed to answer questions such as these. The axes-level functions are histplot
, kdeplot
, ecdfplot
, and rugplot
. They are grouped together within the figure-level displot
function.
A histplot
is a classic visualization tool that represents the distribution of one or more variables by counting the number of observations that fall within discrete bins.
Click the slider to view possible arguments for the plot!
Don't forget to return back after exploring the dataset!
Note
Use
plt.show()
to display the plot.
Tarea
- Create the histplot using the
seaborn
library:
- Set the
x
parameter equals the'bill_length_mm'
; - Set the
hue
parameter equals the'island'
; - Set the
element
parameter equals the'step'
; - Set the
stat
parameter equals the'density'
; - Set the
binwidth
parameter equals1
; - Set the
'flare'
palette; - Use the
df
data for the plot; - Display the plot.