Зміст курсу
Deep Dive into the seaborn Visualization
Deep Dive into the seaborn Visualization
1. Light Start
4. Matrix Plots
Ecdfplot
An ecdfplot
represents the proportion or count of observations falling below each unique value in a dataset. Compared to a histogram or density plot, it has the advantage that each observation is visualized directly, meaning that no binning or smoothing parameters need to be adjusted.
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/1.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/2.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/3.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/4.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/5.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/6.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/7.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/8.gif?w=3840&q=75)
Завдання
- Create the
ecdfplot
using theseaborn
library:
- Set the
x
parameter equals thebill_length_mm
; - Set the
hue
parameter equals the'island'
; - Add the
complementary
parameter; - Set the
stat
parameter equals the'count'
; - Set the palette equals the
'mako'
; - Set the data.
Завдання
- Create the
ecdfplot
using theseaborn
library:
- Set the
x
parameter equals thebill_length_mm
; - Set the
hue
parameter equals the'island'
; - Add the
complementary
parameter; - Set the
stat
parameter equals the'count'
; - Set the palette equals the
'mako'
; - Set the data.
Все було зрозуміло?
Ecdfplot
An ecdfplot
represents the proportion or count of observations falling below each unique value in a dataset. Compared to a histogram or density plot, it has the advantage that each observation is visualized directly, meaning that no binning or smoothing parameters need to be adjusted.
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/1.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/2.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/3.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/4.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/5.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/6.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/7.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/8.gif?w=3840&q=75)
Завдання
- Create the
ecdfplot
using theseaborn
library:
- Set the
x
parameter equals thebill_length_mm
; - Set the
hue
parameter equals the'island'
; - Add the
complementary
parameter; - Set the
stat
parameter equals the'count'
; - Set the palette equals the
'mako'
; - Set the data.
Завдання
- Create the
ecdfplot
using theseaborn
library:
- Set the
x
parameter equals thebill_length_mm
; - Set the
hue
parameter equals the'island'
; - Add the
complementary
parameter; - Set the
stat
parameter equals the'count'
; - Set the palette equals the
'mako'
; - Set the data.
Все було зрозуміло?
An ecdfplot
represents the proportion or count of observations falling below each unique value in a dataset. Compared to a histogram or density plot, it has the advantage that each observation is visualized directly, meaning that no binning or smoothing parameters need to be adjusted.
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/1.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/2.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/3.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/4.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/5.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/6.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/7.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/8.gif?w=3840&q=75)
Завдання
- Create the
ecdfplot
using theseaborn
library:
- Set the
x
parameter equals thebill_length_mm
; - Set the
hue
parameter equals the'island'
; - Add the
complementary
parameter; - Set the
stat
parameter equals the'count'
; - Set the palette equals the
'mako'
; - Set the data.
Ecdfplot
An ecdfplot
represents the proportion or count of observations falling below each unique value in a dataset. Compared to a histogram or density plot, it has the advantage that each observation is visualized directly, meaning that no binning or smoothing parameters need to be adjusted.
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/1.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/2.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/3.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/4.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/5.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/6.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/7.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/ecdfplot+gifs/8.gif?w=3840&q=75)
Завдання
- Create the
ecdfplot
using theseaborn
library:
- Set the
x
parameter equals thebill_length_mm
; - Set the
hue
parameter equals the'island'
; - Add the
complementary
parameter; - Set the
stat
parameter equals the'count'
; - Set the palette equals the
'mako'
; - Set the data.