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Boxplot | Categorical Plot Types
Deep Dive into the seaborn Visualization
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Зміст курсу

Deep Dive into the seaborn Visualization

Deep Dive into the seaborn Visualization

Boxplot

A boxplot is a standardized way of displaying the distribution of data based on a five-number summary (minimum, first quartile (Q1), median, third quartile (Q3), and maximum).

It can tell you about your outliers and what their values are. It can also tell you if your data is symmetrical, how tightly your data is grouped, and if and how your data is skewed.

carousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-img

Завдання

  1. Set the 'ticks' style with the 'grey' figure.facecolor and 'white' x- & yticks.
  2. Create the boxplot using the seaborn library:
  • Set the x parameter equals the 'distance';
  • Set the y parameter equals the 'method';
  • Set the linewidth parameter equals 2;
  • Set the saturation parameter equals 0.4;
  • Set the 'vlag' palette.

Завдання

  1. Set the 'ticks' style with the 'grey' figure.facecolor and 'white' x- & yticks.
  2. Create the boxplot using the seaborn library:
  • Set the x parameter equals the 'distance';
  • Set the y parameter equals the 'method';
  • Set the linewidth parameter equals 2;
  • Set the saturation parameter equals 0.4;
  • Set the 'vlag' palette.

Все було зрозуміло?

Секція 3. Розділ 3
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Boxplot

A boxplot is a standardized way of displaying the distribution of data based on a five-number summary (minimum, first quartile (Q1), median, third quartile (Q3), and maximum).

It can tell you about your outliers and what their values are. It can also tell you if your data is symmetrical, how tightly your data is grouped, and if and how your data is skewed.

carousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-img

Завдання

  1. Set the 'ticks' style with the 'grey' figure.facecolor and 'white' x- & yticks.
  2. Create the boxplot using the seaborn library:
  • Set the x parameter equals the 'distance';
  • Set the y parameter equals the 'method';
  • Set the linewidth parameter equals 2;
  • Set the saturation parameter equals 0.4;
  • Set the 'vlag' palette.

Завдання

  1. Set the 'ticks' style with the 'grey' figure.facecolor and 'white' x- & yticks.
  2. Create the boxplot using the seaborn library:
  • Set the x parameter equals the 'distance';
  • Set the y parameter equals the 'method';
  • Set the linewidth parameter equals 2;
  • Set the saturation parameter equals 0.4;
  • Set the 'vlag' palette.

Все було зрозуміло?

A boxplot is a standardized way of displaying the distribution of data based on a five-number summary (minimum, first quartile (Q1), median, third quartile (Q3), and maximum).

It can tell you about your outliers and what their values are. It can also tell you if your data is symmetrical, how tightly your data is grouped, and if and how your data is skewed.

carousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-img

Завдання

  1. Set the 'ticks' style with the 'grey' figure.facecolor and 'white' x- & yticks.
  2. Create the boxplot using the seaborn library:
  • Set the x parameter equals the 'distance';
  • Set the y parameter equals the 'method';
  • Set the linewidth parameter equals 2;
  • Set the saturation parameter equals 0.4;
  • Set the 'vlag' palette.

Секція 3. Розділ 3
Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантів
toggle bottom row

Boxplot

A boxplot is a standardized way of displaying the distribution of data based on a five-number summary (minimum, first quartile (Q1), median, third quartile (Q3), and maximum).

It can tell you about your outliers and what their values are. It can also tell you if your data is symmetrical, how tightly your data is grouped, and if and how your data is skewed.

carousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-img

Завдання

  1. Set the 'ticks' style with the 'grey' figure.facecolor and 'white' x- & yticks.
  2. Create the boxplot using the seaborn library:
  • Set the x parameter equals the 'distance';
  • Set the y parameter equals the 'method';
  • Set the linewidth parameter equals 2;
  • Set the saturation parameter equals 0.4;
  • Set the 'vlag' palette.

Секція 3. Розділ 3
Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантів
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