Зміст курсу
Deep Dive into the seaborn Visualization
Deep Dive into the seaborn Visualization
Kdeplot
A kdeplot
plot is a method for visualizing the distribution of observations in a dataset analogous to a histogram. KDE represents the data using a continuous probability density curve in one or more dimensions.
Завдання
- Create the kdeplot using the
seaborn
library:
- Set the
x
parameter equals the'max_temp'
; - Set the
hue
parameter equals the'month'
; - Set the
multiple
parameter equals the'stack'
; - Disable the
legend
; - Add the filling;
- Set the data;
- Display the plot.
Дякуємо за ваш відгук!
Kdeplot
A kdeplot
plot is a method for visualizing the distribution of observations in a dataset analogous to a histogram. KDE represents the data using a continuous probability density curve in one or more dimensions.
Завдання
- Create the kdeplot using the
seaborn
library:
- Set the
x
parameter equals the'max_temp'
; - Set the
hue
parameter equals the'month'
; - Set the
multiple
parameter equals the'stack'
; - Disable the
legend
; - Add the filling;
- Set the data;
- Display the plot.
Дякуємо за ваш відгук!
Kdeplot
A kdeplot
plot is a method for visualizing the distribution of observations in a dataset analogous to a histogram. KDE represents the data using a continuous probability density curve in one or more dimensions.
Завдання
- Create the kdeplot using the
seaborn
library:
- Set the
x
parameter equals the'max_temp'
; - Set the
hue
parameter equals the'month'
; - Set the
multiple
parameter equals the'stack'
; - Disable the
legend
; - Add the filling;
- Set the data;
- Display the plot.
Дякуємо за ваш відгук!
A kdeplot
plot is a method for visualizing the distribution of observations in a dataset analogous to a histogram. KDE represents the data using a continuous probability density curve in one or more dimensions.
Завдання
- Create the kdeplot using the
seaborn
library:
- Set the
x
parameter equals the'max_temp'
; - Set the
hue
parameter equals the'month'
; - Set the
multiple
parameter equals the'stack'
; - Disable the
legend
; - Add the filling;
- Set the data;
- Display the plot.